Preprint
Review

This version is not peer-reviewed.

Three-Dimensional Printed Gastrointestinal Tract Models for Surgical Planning and Medical Education: A Systematic Review

A peer-reviewed article of this preprint also exists.

Submitted:

02 May 2025

Posted:

06 May 2025

You are already at the latest version

Abstract
Three-dimensional (3D)-printed models have been extensively applied in operative planning and medical education to visualize anatomical structures directly and gain a tactile experience. Although studies are available on the use of 3D printing technology in the gastrointestinal tract, there is a lack of detailed analysis of its current applications, particularly in the context of 3D-printed gastrointestinal tract models for surgical planning and education. Therefore, this systematic review aimed to analyze the current application of 3D printing technology in gastrointestinal tract diseases, with a focus on the techniques, materials, anatomical structures, and the impact of its use. A systematic search was conducted across the PubMed/Medline, Scopus, and Embase databases, adhering to the PRISMA 2020 protocols. A total of 25 articles were identified as eligible for review. The findings revealed that 3D-printed gastrointestinal tract models can enhance technical skills, knowledge, and confidence in performing gastrointestinal surgery or other procedures in a risk-free environment. However, most studies were limited by their small sample size, with only 1–3 models printed (n = 19), and lacked comparative analysis. The influence of the procedure on actual patients was not followed up; hence, the impact of this simulator on clinical practice outcomes remains unknown. Most of the 3D-printed models were designed for a single procedure, which limits their widespread application. Future research should focus on developing more realistic printed materials to accurately simulate real organs, comparing them with other simulators and investigating their impact on actual gastrointestinal procedures.
Keywords: 
;  ;  ;  ;  

1. Introduction

Owing to rapid technological advancements, three-dimensional (3D)-printed models have been extensively employed in surgical planning and medical education. 3D-printed models enable direct visualization of anatomical structures and provide a tactile experience for practice [1,2].
In surgical planning, 3D patient-specific printing technology can help surgeons understand complex anatomical relationships and determine which structures can be safely altered or removed. Compared with conventional two-dimensional imaging, a 3D-printed model can provide more complex information for surgical planning in a shorter timeframe [3].
3D-printed models have been utilized for preoperative assessment and surgical training in various conditions, including coronary artery disease, congenital heart disease, kidney and liver diseases, and hepatobiliary diseases [4,5,6,7,8]. These studies have demonstrated the clinical value of using patient-specific 3D-printed models in guiding surgical planning, particularly for complex or challenging conditions.
For the gastrointestinal tract, simulation-based training is becoming an inherent part of medical training. Simulation can improve trainees’ professional skills in a risk-free environment, especially for surgical procedures. The existing simulators are physical/mechanical simulators, animal models (both in vivo and ex vivo), and computerized simulators. Conventional mechanical simulators provide natural tactile feedback [9,10]. However, this type of simulator lacks realism and complexity in simulating the human structure [11]. Animal models can provide actual haptic feedback, allowing trainees to experience authentic clinical interventions [9]. Nonetheless, these models are expensive and are difficult to collect and maintain. Computerized simulators can provide multiple endoscopic procedures, anatomies, and interventions for training but lack realistic force feedback and are not cost effective [9].
Recently, 3D-printed models have been utilized for gastrointestinal tract applications, including gastroscope biopsy training, gastric hemostasis training, and presurgical evaluation for gastrointestinal cancer [12,13,14,15,16]. Compared with conventional physical models, 3D-printed patient-specific models are durable, inexpensive, easy to produce, and achieve anatomical realism. Therefore, 3D-printed gastrointestinal models can be valuable and have the potential to serve as training models for presurgical planning and education.
This systematic review aims to summarize the current role of 3D-printed models in the gastrointestinal tract and to explore their application for future practice and research. The rationale for conducting this review is to analyze the current literature regarding the usefulness of 3D printing technology in gastrointestinal diseases. As most studies focus on the applications of 3D printing in maxillofacial and cardiovascular diseases, this review is expected to provide an update on the current status of 3D-printed models in the gastrointestinal arena.

2. Materials and Methods

2.1. Search Strategy

The literature search was conducted in accordance with the PRISMA (Preferred Reporting for Systematic Reviews and Meta-Analysis) guidelines [17]. The search databases for this review were PubMed/Medline, Scopus, and Embase (Table 1).

2.2. Inclusion and Exclusion Criteria

The articles were managed using the EndNote (v. 20.6) software. Endnote’s automated processes removed duplicate records.
Reports were included if they were original, full-text, peer-reviewed articles written in English and published in the last 10 years exploring the use of 3D-printed models of the gastrointestinal tract. Articles discussing 3D-printed model production methods/materials were included. The limited original research present in the literature ultimately required the inclusion of case reports.
Articles were excluded if they exclusively discussed using 3D-printed models for medication or animal tests, including articles about 3D-printed gastrointestinal vascular models. 3D-printed models of the digestive glands, such as the liver, gallbladder, and pancreas, were also excluded. Gray literature, including conference papers, letters to the editor, books, practice guidelines, and preprints, was also excluded.

2.3. Article Quality Assessment

The quality of each study was assessed using the “Quality Assessment Tool for Studies with Diverse Designs” (QATSDD) developed by Sirriyeh et al [17].

2.4. Data Extraction and Synthesis

The data for this study were collected on the purpose and applications of 3D-printed gastrointestinal tract models, including the organs printed, sample size, imaging modalities, and software used for 3D printing, as well as the 3D printers, materials used, relevant findings, research limitations, and the country in which the studies were conducted. The data extraction was performed by one observer (JL) and double-checked by another observer (ZS).

3. Results

3.1. Study Selection

Nine duplicates were removed after searching three databases. The remaining articles were screened based on title and abstract, and 288 unrelated articles were removed. Following full-text screening, articles were excluded if they did not involve human gastrointestinal tract models. Eighteen eligible articles were identified via full-text screening [18,19,23,24,25,26,27,30,31,32,33,34,35,38,39,40,41,42]. An additional seven articles were selected from the reference lists [20,21,22,28,29,36,37]. The total number of articles included in the review was 25 (Figure 1).

3.2. Study Characteristics and Findings

Table 2 lists the design characteristics and key findings of these 25 studies. Of these, 16 were experimental studies [18,19,21,22,23,24,25,27,32,33,34,35,36,37,38,39], 4 were case reports [20,26,28,41], and 5 were descriptive surveys [29,30,31,40,42]. Thirteen studies equally represented the USA [18,20,23,38,41], Canada [25,30,34,35], Germany [19,37], Italy [28], and UK [36]. Ten studies were from Korea [21,24,27,29,32,40] and Japan [22,26,31,33]. The remaining two studies were from Slovakia [39] and China [42].

3.3. 3D Printing Details

Table 3 presents the 3D printing details of all 25 studies, including the imaging modalities used for 3D printing, the software used for image processing, the organs printed, the 3D printers employed, the 3D printer materials, the printing time, and the printing cost.

3.3.1. 3D Printing Processing and Materials

Of the 25 studies, 16 used CT imaging for 3D printing [19,20,21,22,24,26,28,29,30,31,32,33,36,39,40,41], 1 used both CT and magnetic resonance imaging [42], and the remaining 8 did not mention the data resource for printing. Eight studies mentioned the printing method. Six used fused deposition modeling (FDM) [24,30,33,39,40,42], and two used stereolithography printing modeling [28,32].
The 3D printing time varied from 6 h to 48 h. The highest printing cost was $1175 [18], and the lowest was $1033.
Silicone was the most commonly used material, accounting for 45% of the studies [18,19,22,24,25,27,29,32,34,35,36,39,40]. The second most commonly used material was polylactic acid (PLA) [23,25,33,35,39]. Other printing materials included resin, rubber-like material, PlatSil Gel-10, and plastic (Figure 2). In Yu et al.’s study, PVA/polyacrylamide (PAM) hydrogels were utilized as a novel material for gastrointestinal 3D printing. Six studies used two materials concertedly to print models [25,27,32,35,39,41].

3.3.2. Printed Gastrointestinal Organs

According to the 25 studies, 3D-printed gastrointestinal organs included the entire digestive tract. With 10 articles (42%), the stomach was the most frequently modeled organ [18,21,24,25,27,28,29,32,38,42] (Figure 3). 3D-printed rectum models were reported in only three studies [19,22,41]. Most studies (67%) used CT images for 3D printing.

3.4. Purposes of 3D-Printed Gastrointestinal Models

Nineteen studies focused on specific training and preoperative assessment for gastrointestinal tract surgery or other procedures [20,21,23,24,25,26,27,28,29,31,33,34,35,36,38,39,40,41], including two pediatric surgical planning [25,36]. Three studies developed abdominal, gastric, and laparoscopic phantoms [19,30,32]. Two studies were designed to create training models for colonoscopy [22,37]. One study utilized a novel material for gastrointestinal 3D printing [42].

3.5. Quality of the Studies

The articles included in this review were heterogeneous and comprised four case reports [20,26,28,41]. All 25 studies were evaluated using “QATSDD” developed by Sirriyeh et al [17]. The quality of the trials varied, ranging from 21.4% to 76.2%. Six studies were rated <50%, four of which were case reports. The results are presented in Table 4.

4. Discussion

Analysis of the 25 studies included in this review revealed several key findings. First, 3D-printed gastrointestinal tract models can enhance technical skills, knowledge, and confidence in performing gastrointestinal surgery or other procedures in a risk-free environment. Second, the 3D patient-specific printing method enables the creation of realistic anatomy, haptics, modularity, and reproducibility for presurgical planning and training. Nonetheless, most were small-sample studies and lacked comparison analysis. The influence of the models on actual patient procedures was not followed up. In addition, most of the 3D-printed models in these studies were designed for a single procedure, which limits their widespread application.

4.1. 3D Printing Methods and Materials for the Gastrointestinal Tract

According to current studies, FDM is the primary method for 3D printing of the gastrointestinal tract. FDM is a popular 3D printing technology with rapid production, cost-efficiency, accessibility, broad material adaptability, and the ability to produce complex components [43,44]. Stereolithography printing has also been utilized for producing 3D models of the gastrointestinal tract, but its cost is higher than that of FDM. Furthermore, research on the technical differences among various 3D printing technologies for the gastrointestinal tract is limited, and data on printing time are scarce. Only four studies have reported printing times ranging from 6 h to 48 h [28,33,39,42]. This lack of details affects the overall assessment of the current gastrointestinal 3D printing technology.
Silicone is the most commonly used printing material for gastrointestinal models that can provide tactile feedback to users. Several types of silicone suitable for 3D printing of the gastrointestinal tract have been investigated. Kenngott et al. compared three types of silicone for 3D printing: Ecoflex 0010, Ecoflex 0030, and Dragon Skin FX-Pro [19]. In this study, 10 silicone rectum models were produced using mixtures of different silicone types. The rectum model created with three parts of Ecoflex 0030 and one part of Slacker showed the best results in terms of haptic realism. In Kwon’s research, the tensile strengths and elongations of three materials were compared according to the number of silicone coatings [32]. Habti’s research produced six silicone 3D-printed models of the small bowel, each with a different Shore hardness. The model with a Shore hardness of 0–30 was considered the most representative of small bowel anastomosis tissue [35].
PLA is often used in combination with silicone. Studies have documented the use of PLA to print molds and then silicone to prepare the final intestinal model [25,35,39]. Resin-printed models have been used in some case reports for presurgical planning [28,41].
Apart from the above-mentioned printing materials, one study explored the application of PVA/PAM hydrogels in 3D-printed models. This research noted that PVA/PAM hydrogels were an elastic and flexible material that closely simulated the physical characteristics of soft tissues, such as the brain, liver, and gastrointestinal tract [42]. This research has provided potential innovative material for future 3D gastrointestinal printing.
There is a dearth of studies comparing various printing materials. Examining more realistic printed materials is a potential research area.

4.2. 3D Printing of Gastrointestinal Organs and Their Applications

The common 3D-printed gastrointestinal organs are the stomach, colon, and esophagus. Most studies have focused on specific training and preoperative evaluation for surgeries and other procedures related to the gastrointestinal tract.
The endoscopic procedure is the primary treatment for gastric diseases. Therefore, 3D-printed stomach models have predominantly been applied for endoscopic procedure training, including endoscopic ampullectomy, biopsy, endoscopic hemostasis, intragastric balloon, and stent placement training [18,21,24,27,29,38].
Unlike the gastric model, the 3D-printed colon model focuses on preoperative planning in addition to endoscopic training, which is associated with a high incidence of colon tumors. 3D-printed models have provided patient-specific anatomy and more accurate identification of tumor locations for surgeons under challenging conditions [26,31]. Moreover, studies have analyzed the colon morphology and designed models based on three common morphological patterns to improve their realism [22].
The use of the 3D esophageal model has increased in recent years. Dickinson et al. reported the first application of 3D-printed esophageal models to complex esophageal cases [20]. The studies of Neville et al. and Zahradniková et al. explored the use of 3D esophageal models in pediatric surgery. The researchers developed 3D-printed esophageal models for esophageal atresia with tracheoesophageal fistula repair [36,39]. Most participants opined that the 3D model was a suitable training tool. The 3D-printed model can potentially be used as a training tool by pediatric surgeons for esophageal procedures.
Participants’ assessment of the 3D-printed models was evaluated using a 5-point Likert scale questionnaire survey tool. These studies showed that 3D-printed models can provide a better appreciation of anatomic relationships, more realistic tactile feedback and visualization, and augment the participants’ confidence and skill in gastrointestinal tract surgery and other procedures.
Current research has also mentioned the disadvantages of 3D-printed gastrointestinal models. Gastrointestinal tract peristalsis and movement cannot be reproduced in 3D-printed models, and the elasticity cannot reach the same level as that of a real organ.

4.3. Limitations

Some limitations need to be acknowledged. First, the results of the studies in this review are based on participants’ subjective evaluation and lack comparison with conventional clinical training and other models. Only two studies compared the 3D-printed model with previous simulators [22,37]. There could be a possible bias in evaluating the simulator using questionnaires24. The impact of this simulator on actual clinical practice outcomes remains unknown [37]. Second, some studies did not provide the details of 3D printing, which makes it difficult to compare the methods.

5. Conclusions

This study has analyzed the development and application of 3D-printed gastrointestinal tract models in presurgical planning and medical education in the last decade. The literature review has established that 3D-printed gastrointestinal models provide realistic anatomical structures and enhance the trainees’ skills and confidence by using real patient images. However, the model’s elasticity must be improved to simulate the real organ. Future research should focus on comparing the models with other simulators and examining their impact on actual gastrointestinal procedures.

Author Contributions

Conceptualization, J.L. and Z.S.; methodology, J.L.; formal analysis, J.L.; data curation, J.L.; writing—original draft preparation, J.L.; writing—review and editing, J.L, L.T, K.R, and Z.S; visualization, J.L. and Z.S.; supervision, Z.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable as this is a review article.

Informed Consent Statement

Not applicable as this is a review article.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
3D Three-dimensional
BT Balloon tamponade tube
CT Computed tomography
ERCP Endoscopic retrograde cholangiopancreatography
GD Gastroduodenal
HSBA Hand-sewn bowel anastomosis
MR Magnetic resonance
PVA Polyvinyl alcohol
PAM Polyacrylamide
NA Not applicable
QATSDD Quality assessment tool for studies with diverse designs
TEP Transeosophadeal prosthesis

References

  1. R. Javan; D. Herrin; A. Tangestanipoor. Understanding Spatially Complex Segmental and Branch Anatomy Using 3D Printing: Liver, Lung, Prostate, Coronary Arteries, and Circle of Willis. Acad. Radiol. 2016, 23, 1183–1189. [Google Scholar] [CrossRef] [PubMed]
  2. Matsumoto, J. S.; Morris, J. M.; Foley, T. A.; Williamson, E. E.; Leng, S.; McGee, K. P.; Kuhlmann, J. L.; Nesberg, L. E.; Vrtiska, T. J. Three-dimensional Physical Modeling: Applications and Experience at Mayo Clinic. Radiographics 2015, 35, 1989–2006. [Google Scholar] [CrossRef] [PubMed]
  3. Marconi, S.; Pugliese, L.; Botti, M.; Peri, A.; Cavazzi, E.; Latteri, S.; Auricchio, F. ; Pietrabissa, A Value of 3D printing for the comprehension of surgical anatomy. Surg. Endosc 2017, 31, 4102–4110. [Google Scholar] [CrossRef]
  4. Lau, I.; Gupta, A.; Sun, Z. Clinical Value of Virtual Reality versus 3D Printing in Congenital Heart Disease. Biomolecules 2021, 11, 884. [Google Scholar] [CrossRef]
  5. Lupulescu C; Sun. Z. 3D printing of patient-specific kidney models to facilitate pre-surgical planning of renal cell carcinoma using CT datasets. AMJ 2021, 14, 211–222. [Google Scholar]
  6. Rossi, T.; Williams, A.; Sun, Z. Three-Dimensional Printed Liver Models for Surgical Planning and Intraoperative Guidance of Liver Cancer Resection: A Systematic Review. Appl. Sci 2023, 13, 10757. [Google Scholar] [CrossRef]
  7. Sun, Z.; Ng, C. K. C.; Wong, Y. H.; Yeong, C. H. 3D-Printed Coronary Plaques to Simulate High Calcification in the Coronary Arteries for Investigation of Blooming Artifacts. Biomolecules 2021, 11, 1307. [Google Scholar] [CrossRef]
  8. Ballard, D. H.; Wake, N.; Witowski, J.; Rybicki, F. J.; Sheikh, A. Radiological Society of North America (RSNA) 3D Printing Special Interest Group (SIG) clinical situations for which 3D printing is considered an appropriate representation or extension of data contained in a medical imaging examination: abdominal, hepatobiliary, and gastrointestinal conditions. 3D. Print. Med 2020, 6, 13–13. [Google Scholar]
  9. Finocchiaro, M.; Cortegoso Valdivia, P.; Hernansanz, A.; Marino, N.; Amram, D.; Casals, A.; Menciassi, A.; Marlicz, W.; Ciuti, G.; Koulaouzidis, A. Training Simulators for Gastrointestinal Endoscopy: Current and Future Perspectives. Cancers 2021, 13, 1427. [Google Scholar] [CrossRef]
  10. Buscaglia, J. M.; Fakhoury, J.; Loyal, J.; Denoya, P. I.; Kazi, E.; Stein, S. A.; Scriven, R.; Bergamaschi, R. Simulated colonoscopy training using a low-cost physical model improves responsiveness of surgery interns. Colorectal. Dis 2015, 17, 530–535. [Google Scholar] [CrossRef]
  11. Phillips, M. S.; Marks, J. M. Overview of methods for flexible endoscopic training and description of a simple explant model. Asian. J. Endosc. Surg. 2011, 4, 45–52. [Google Scholar] [CrossRef] [PubMed]
  12. Haghdel, M.; Alizadeh, A. A.; Ghasemi, Y.; Hosseinpour, H.; Foroutan, H.; Shahriarirad, S.; Imanieh, M. H. Utilization of 3D-Printed Polymer Stents for Benign Esophageal Strictures in Patients with Caustic Ingestion. J. 3D. Print. Med 2021, 5, 11–21. [Google Scholar] [CrossRef]
  13. Povey, M.; Powell, S.; Howes, N.; Vimalachandran, D.; Sutton, P. Evaluating the potential utility of three-dimensional printed models in preoperative planning and patient consent in gastrointestinal cancer surgery. Ann. R. Coll. Surg. Engl. 2021, 103, 615–620. [Google Scholar] [CrossRef] [PubMed]
  14. Kontovounisios, C.; Tekkis, P.; Bello, F. 3D imaging and printing in pelvic colorectal cancer: ‘The New Kid on the Block’. Tech. Coloproctol 2019, 23, 171–173. [Google Scholar] [CrossRef]
  15. Ye, L.; Yang, D.; Huang, Y.; Liao, K.; Yuan, X.; Hu, B. 3D-printed model in the guidance of tumor resection: a novel concept for resecting a large submucosal tumor in the mid-esophagus. Endoscopy 2020, 52, E273–E274. [Google Scholar] [CrossRef]
  16. Page, M. J.; McKenzie, J. E.; Bossuyt, P. M.; Boutron, I.; Hoffmann, T. C; Mulrow, C. D.; Moher, D. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. Br. Med. J 2021, 372, n71–n71. [Google Scholar] [CrossRef]
  17. Sirriyeh, R.; Lawton, R.; Gardner, P.; Armitage, G. Reviewing studies with diverse designs: the development and evaluation of a new tool. J. Eval. Clin. Pract 2012, 18, 746–752. [Google Scholar] [CrossRef]
  18. Holt, B. A.; Hearn, G.; Hawes, R.; Tharian, B.; Varadarajulu, S. Development and evaluation of a 3D printed endoscopic ampullectomy training model (with video). Gastrointest. Endosc 2015, 81, 1470–1475. [Google Scholar] [CrossRef]
  19. Kenngott, H. G.; Wünscher, J. J.; Wagner, M.; Preukschas, A.; Wekerle, A. L.; Neher, P.; Suwelack, S.; Speidel, S.; Nickel, F.; Oladokun, D.; Maier-Hein, L.; Dillmann, R.; Meinzer, H. P.; Müller-Stich, B. P. OpenHELP (Heidelberg laparoscopy phantom): development of an open-source surgical evaluation and training tool. Surg. Endosc 2015, 29, 3338–3347. [Google Scholar] [CrossRef]
  20. Dickinson, K. J. M. B. S.; Matsumoto, J. M. D.; Cassivi, S. D. M. D. M. S.; Reinersman, J. M. M. D.; Fletcher, J. G. M. D.; Morris, J. M. D.; Wong Kee Song, L. M. M. D.; Blackmon, S. H. M. D. M. P. H. Individualizing Management of Complex Esophageal Pathology Using Three-Dimensional Printed Models. Ann. Thorac. Surg 2015, 100, 692–697. [Google Scholar] [CrossRef]
  21. Kim, G. B.; Park, J.-H.; Song, H.-Y.; Kim, N.; Song, H. K.; Kim, M. T.; Kim, K. Y.; Tsauo, J.; Jun, E. J.; Kim, D. H.; Lee, G. H. 3D-printed phantom study for investigating stent abutment during gastroduodenal stent placement for gastric outlet obstruction. 3D. Print. Med. 2017, 3, 10. [Google Scholar] [CrossRef] [PubMed]
  22. Noda, K.; Kitada, T.; Suzuki, Y.; Colvin, H. S.; Hata, T.; Mizushima, T. A novel physical colonoscopy simulator based on analysis of data from computed tomography colonography. Surg. Today 2017, 47, 1153–1162. [Google Scholar] [CrossRef] [PubMed]
  23. Barber, S. R.; Kozin, E. D.; Naunheim, M. R.; Sethi, R.; Remenschneider, A. K.; Deschler, D. G. 3D-printed tracheoesophageal puncture and prosthesis placement simulator. Am. J. Otolaryngol 2018, 39, 37–40. [Google Scholar] [CrossRef]
  24. Lee, S.; Ahn, J. Y.; Han, M.; Lee, G. H.; Na, H. K.; Jung, K. W.; Lee, J. H.; Kim, D. H.; Choi, K. D.; Song, H. J.; Jung, H.-Y. Efficacy of a Three-Dimensional-Printed Training Simulator for Endoscopic Biopsy in the Stomach. Gut. Liver 2018, 12, 149–157. [Google Scholar] [CrossRef]
  25. Williams, A.; McWilliam, M.; Ahlin, J.; Davidson, J.; Quantz, M. A.; Bütter, A. A simulated training model for laparoscopic pyloromyotomy: Is 3D printing the way of the future? J. Pediatr. Surg. 2018, 53, 937–941. [Google Scholar] [CrossRef]
  26. Hojo, D.; Nishikawa, T.; Takayama, T.; Hiyoshi, M.; Emoto, S.; Nozawa, H.; Kawai, K.; Hata, K.; Tanaka, T.; Shuno, Y.; Kaneko, M.; Sasaki, K.; Murono, K.; Ishii, H.; Sonoda, H.; Hoshina, K.; Ishihara, S. 3D printed model-based simulation of laparoscopic surgery for descending colon cancer with a concomitant abdominal aortic aneurysm. Tech. Coloproctol 2019, 23, 793–797. [Google Scholar] [CrossRef]
  27. Lee, D. S.; Ahn, J. Y.; Lee, G. H. A Newly Designed 3-Dimensional Printer-Based Gastric Hemostasis Simulator with Two Modules for Endoscopic Trainees (with Video). Gut. Liver 2019, 13, 415–420. [Google Scholar] [CrossRef]
  28. Marano, L.; Ricci, A.; Savelli, V.; Verre, L.; Di Renzo, L.; Biccari, E.; Costantini, G.; Marrelli, D.; Roviello, F. From digital world to real life: A robotic approach to the esophagogastric junction with a 3D printed model. BMC Surg 2019, 19, 153–153. [Google Scholar] [CrossRef]
  29. Kwon, C.-I.; Shin, Y.; Hong, J.; Im, M.; Kim, G. B.; Koh, D. H.; Song, T. J.; Park, W. S.; Hyun, J. J.; Jeong, S. Production of ERCP training model using a 3D printing technique (with video). BMC. Gastroenterol 2020, 20, 145–145. [Google Scholar] [CrossRef]
  30. Anwari, V.; Lai, A.; Ursani, A.; Rego, K.; Karasfi, B.; Sajja, S.; Paul, N. 3D printed CT-based abdominal structure mannequin for enabling research. 3D Print. Med. 2020, 6, 3–3. [Google Scholar] [CrossRef]
  31. Hojo, D.; Emoto, S.; Kawai, K.; Nozawa, H.; Hata, K.; Tanaka, T.; Ishihara, S. Potential Usefulness of Three-dimensional Navigation Tools for the Resection of Intra-abdominal Recurrence of Colorectal Cancer. J. Gastrointest. Surg 2020, 24, 1682–1685. [Google Scholar] [CrossRef] [PubMed]
  32. Kwon, J.; Choi, J.; Lee, S.; Kim, M.; Park, Y. K.; Park, D. H.; Kim, N. Modelling and manufacturing of 3D-printed, patient-specific, and anthropomorphic gastric phantoms: a pilot study. Sci. Rep. 2020, 10, 18976–18976. [Google Scholar] [CrossRef] [PubMed]
  33. Hojo, D.; Kawai, K.; Murono, K.; Nozawa, H.; Hata, K.; Tanaka, T.; Nishikawa, T.; Shuno, Y.; Kaneko, M.; Sasaki, K.; Emoto, S.; Ishii, H.; Sonoda, H.; Ishihara, S. Establishment of deformable three-dimensional printed models for laparoscopic right hemicolectomy in transverse colon cancer. ANZ J. Surg 2021, 91, E493–E499. [Google Scholar] [CrossRef]
  34. Oxford, K.; Walsh, G.; Bungay, J.; Quigley, S.; Dubrowski, A. Development, manufacture and initial assessment of validity of a 3-dimensional-printed bowel anastomosis simulation training model. Can. J. Surg 2021, 64, E484–E490. [Google Scholar] [CrossRef]
  35. Habti, M.; Bénard, F.; Arutiunian, A.; Bérubé, S.; Cadoret, D.; Meloche-Dumas, L.; Torres, A.; Kapralos, B.; Mercier, F.; Dubrowski, A.; Patocskai, E. Development and Learner-Based Assessment of a Novel, Customized, 3D Printed Small Bowel Simulator for Hand-Sewn Anastomosis Training. Curēus 2021, 13, e20536–e20536. [Google Scholar] [CrossRef]
  36. Neville, J. J.; Chacon, C. S.; Haghighi-Osgouei, R.; Houghton, N.; Bello, F.; Clarke, S. A. Development and validation of a novel 3D-printed simulation model for open oesophageal atresia and tracheo-oesophageal fistula repair. Pediatr. Surg. Int 2022, 38, 133–141. [Google Scholar] [CrossRef]
  37. Steger, J.; Kwade, C.; Berlet, M.; Krumpholz, R.; Ficht, S.; Wilhelm, D.; Mela, P. The colonoscopic vacuum model–simulating biomechanical restrictions to provide a realistic colonoscopy training environment. Int. J. Comput. Assist. Radiol. Surg 2023, 18, 105–116. [Google Scholar] [CrossRef]
  38. Mowry, C.; Kohli, R.; Bhat, C.; Truesdale, A.; Menard-Katcher, P.; Scallon, A.; Kriss, M. Gastroesophageal Balloon Tamponade Simulation Training with 3D Printed Model Improves Knowledge, Skill, and Confidence. Dig. Dis. Sci 2023, 68, 1187–1194. [Google Scholar] [CrossRef]
  39. Zahradniková, P.; Babala, J.; Pechanová, R.; Smrek, M.; Vitovič, P.; Laurovičová, M.; Bernát, T.; Nedomová, B. Inanimate 3D printed model for thoracoscopic repair of esophageal atresia with tracheoesophageal fistula. Front. Pediatr 2023, 11, 1286946–1286946. [Google Scholar] [CrossRef]
  40. Gu, H.; Lee, S.; Kim, S.; Jang, H.-L.; Choi, D.-W.; Kim, K. S.; Shin, Y. R.; Cheung, D. Y.; Lee, B. I.; Kim, J. I.; Lee, H. H. Development of colonic stent simulator using three-dimensional printing technique: a simulator development study in Korea. Clin. Endsc 2024, 57, 790–797. [Google Scholar] [CrossRef]
  41. Keller-Biehl, L.; Otoya, D.; Khader, A.; Timmerman, W.; Fernandez, L.; Amendola, M. Just the gastrointestinal stromal tumor: A case report of medical modeling of a rectal gastrointestinal stromal tumor. SAGE. Open. Med. Case. Rep 2024, 12, 2050313X231211124. [Google Scholar] [CrossRef] [PubMed]
  42. Yu, S.; Xu, X.; Ma, L.; Zhao, F.; Mao, J.; Zhang, J.; Wang, Z. Versatile and Tunable Performance of PVA/PAM Tridimensional Hydrogel Models for Tissues and Organs: Augmenting Realism in Advanced Surgical Training. ACS. Appl. Bio. Mater 2024, 7, 6261–6275. [Google Scholar] [CrossRef] [PubMed]
  43. Masood SH; Song WQ. Development of new metal/polymer materials for rapid tooling using fused deposition modelling. Mater. Design 2004, 25, 587–594. [Google Scholar] [CrossRef]
  44. Marwah OM; Shukri MS; Mohamad EJ; Johar MA; Haq RH; Khirotdin RK. Direct investment casting for pattern developed by desktop 3D printer. Matec Web of Conferences 2017, 135, 8. [Google Scholar]
Figure 1. PRISMA flow chart showing use of search strategy to locate eligible studies.
Figure 1. PRISMA flow chart showing use of search strategy to locate eligible studies.
Preprints 158161 g001
Figure 2. 3D printing materials used for printing the gastrointestinal tract models.
Figure 2. 3D printing materials used for printing the gastrointestinal tract models.
Preprints 158161 g002
Figure 3. Frequency of the 3D printed models for printing the gastrointestinal anatomical sites.
Figure 3. Frequency of the 3D printed models for printing the gastrointestinal anatomical sites.
Preprints 158161 g003
Table 1. Search strategy used to identify suitable studies for inclusion in the review.
Table 1. Search strategy used to identify suitable studies for inclusion in the review.
Search Strategy 1
AND
Search Strategy 2
AND
Search Strategy 3
“3D print” or “3D-printed” or “3D printing” or “3 dimensional print” or “3 dimensional printed” or “3 dimensional printing” or “three dimensional print” or “three dimensional printed” or “three dimensional printing” or “additive manufacturing” “gastrointestinal” or “gastric” or “stomach” or “colon” or “intestine”* or “esophagus” or “bowel” or “duodenum” or “rectum” “medical education” or “medical training” or “presurgical” or “surgical plan” or “surgical planning” or “simulation”
Table 2. Key characteristics and findings of eligible studies in the review.
Table 2. Key characteristics and findings of eligible studies in the review.
Article Year Purpose Country of Origin Study Design Sample Size Key Findings Limitations
Holt et al [18]
2015
Develop a training model that can be used to improve technical skills, knowledge, and confidence in performing endoscopic ampullectomy
USA
Experimental study
Stomach and duodenum model n = 1; participants n = 16
The training increased the confidence of 11 participants in using the model, with a mean score of 2.2 to 2.9. Participants’ ampullectomy technique improved (66.7%), which continued to increase with additional sessions involving the use of the model (73.3%). The model had an overall visual realism score of 3.2. Resistance was encountered when passing through the stomach. There was a separation potential during endoscope maneuvers when using a rigid base and ampoule holder combination with a flexible stomach–duodenum.
Kenngott et al [19]
2015 Design a phantom with realistic anatomy, haptics, modularity, and reproducibility
Germany
Experimental study
Torso model n=1; Rectum models n = 10; surgical residents n = 5; surgical consultant n = 1 Accurate reproduction from 3D digital model to silicone organ was achieved. Accuracy of the silicone rectal models showed an average mean square error of 2.26 mm when compared to the original CT images. The overall haptic realism was not calculated.
Dickinson et al [20]
2015 Develop 3D-printed models for complex esophageal cases
USA
Case report Esophagus model n = 2
These 3D-printed models provided a good understanding of the anatomic relationships of complex esophagus cases. The sample size was small.
Kim et al [21]
2017 Develop a flexible anthropomorphic 3D-printed model of malignant gastroduodenal (GD) strictures for an in vitro experiment Korea Experimental study Gastroduodenal model n = 1
The 3D-printed GD phantom model aided in comparing food passage between the stent abutment and non-stent abutment.
The flexibility of the 3D-printed model was not sufficient to mimic actual GD properties and lacked gastric peristalsis.
Noda et al [22] 2017 Design a physical simulator using 3D printing technology for a more realistic colonoscope insertion Japan Experimental study Colonoscopy model n=1. Very experienced colonoscopists n = 5; experienced colonoscopists n = 9; less experienced colonoscopists n = 2 The new simulator was determined to be significantly more realistic than the CM15 model in terms of anatomical structure, visual response, haptic response, and looping. This simulator was made from stiff silicone and did not allow complete deflation
Barber et al [23] 2018 Develop a reusable three-dimensional (3D)-printed tracheoesophageal prosthesis (TEP) simulator to facilitate comprehension and rehearsal before actual procedures USA Experimental study Esophageal lumen n = 1; junior residents n = 5; senior residents n = 5 All 10 participants agreed that the simulator exercise provided a beneficial experience, anatomic visualization, and safe practice for actual TEP procedures. It was a small-sample-size study and lacked longitudinal data. There was no follow-up to validate the survey responses from junior and senior residents.
Lee et al [24]
2018 Create a stomach model for biopsy training and investigate its efficacy and realism Korea Experimental study Stomach model n = 1; residents n = 10; first-year fellows n = 6; second-year fellows n = 5; faculty members n = 5 The time taken to complete the training procedure with the 3D biopsy simulator decreased significantly with repeated trials (the completion times were significantly shorter than that in the first trial in all of these groups: 169. 6 versus 347 seconds in the resident group; 85.7 versus 143.8 seconds in the first year fellow group; 96 versus 127.2 seconds in the second year fellow group and 91.2 versus 114.2 seconds in the faculty group, with p all <0.05). Gastric peristalsis and the movement of the stomach owing to heartbeat and respiration were not reproduced. The elasticity could not reach the same level as that of a real stomach. There was a possible bias in evaluating the simulator using questionnaires.
Williams et al [25] 2018 Evaluate the use of a 3D model of infant hypertrophic pyloric stenosis as a teaching tool for surgical residents Canada Experimental study Hypertrophic pyloric stenosis model n=1; medical students n = 4; general surgery residents n = 8; adult general surgeons n = 3; pediatric surgeons n = 2 For inexperienced participants, the time to complete the procedure was significantly reduced. Over 70% of the participants agreed that the 3D-printed model accurately simulated certain components of the pyloromyotomy and would be a good training tool for beginners (73.9%) and experts (71.4%). The sample size was small. The adult version of the box trainer caused some problems with pediatric instruments. Some participants’ self-assessment of their laparoscopic skills was above or below their actual level. Whether practice on this model translated into improved performance in the operating room was not evaluated.
Hojo et al [26]
2019 Develop a 3D-printed colon model to aid in laparoscopic surgery for descending colon cancer with concomitant abdominal aortic aneurysm Japan Case report Colon model n = 1 The 3D-printed simulation helped determine the port site and visualize the vascular structures before laparoscopic surgery under challenging conditions. There was one case that lacked 3D printing details.
Lee et al [27] 2019 Develop a novel 3D-printed simulator to overcome the limitations of the previous endoscopic hemostasis simulators Korea Experimental study Stomach hemostasis model n = 1; endoscopists n = 21 (first-year fellows n = 11; experts n = 10) The endoscopic handling in the 3D-printed simulator was realistic and reasonable for endoscopic training and could reduce patients’ risks. The procedure time of the beginner group decreased sharply after each trial (procedure completing times for hemoclipping and injection was 116.1 and 161.3 seconds for 1st trial, and reduced to 30.5 and 43 seconds for 5th trial). The gastric movement was not reproduced. The evaluation using questionnaires could have been biased. The model’s elasticity differed from that of the actual stomach. The model was not compared with other simulators.
Marano et al [28] 2019 Develop a life-size 3D-printed esophagus model that included the proximal stomach, the thoracic aorta, and the diaphragmatic crus for presurgical planning Italy Case report Esophagus model including the proximal stomach n = 1 This model helped surgeons verify the critical structures and plan all possible maneuvers. There is no information provided about the number of surgeons participating in the study, and how useful it is to assist with surgical planning.
Kwon et al [29] 2020 Develop a 3D-printed optimized endoscopic retrograde cholangiopancreatography (ERCP) training mode South Korea Descriptive survey Lower stomach and duodenum models n = 8 The 3D model, which was durable, relatively cheap, and easy to make, allowed trainees to practice various specialized ERCP procedures. The model did not reflect the same order as humans. Its surface tension was higher than that of the biological tissue.
Anwari et al [30] 2020 Design and construct a low-cost 3D-printed abdominal model with radiologically tissue-realistic and modular anthropomorphism Canada Descriptive survey Small and large bowel model n = 1 Outline the specific steps in creating a 3D-printed anthropomorphic abdominal model using CT-based scans with radiologically accurate tissue characteristics. The model was not validated.
Hojo et al [31] 2020 Use 3D-printed models and 3D virtual images to help resect intraabdominal recurrence of colorectal cancer Japan Descriptive survey Colon models n = 2 The 3D-printed model provided patient-specific anatomy and accurately identified the location of the recurrent lesion for surgeons. The sample size was small. The study design was retrospective and lacked statistical analyses.
Kwon et al [32] 2020 Develop 3D-printed gastric models with patient-specific, anthropomorphic, and mechanical characteristics similar to those of the human stomach for the intragastric balloon technique South Korea Experimental study Stomach model n = 3 3D printed models were printed with materials comprising Agilus, Elastic and Flexa to test their mechanical properties. The mean elongation and tensile strengths of Agilus, Elastic and Flexa were 264%, 145% and 146%, and 1.14, 1.59 and 21.6 MPa, respectively. Agilus was the most flexible material with elongation showing most similar ranges compared to human stomach. Small sample size with no analysis of these 3D printed models in clinical training or practical value.
Hojo et al [33] 2021 Establish a 3D-printed model comprising the superior mesenteric artery and superior mesenteric vein to optimize laparoscopic right hemicolectomy Japan Experimental study Duodenummodel n = 5 The application of 3D-printed models simulated the surgical site effectively in colorectal surgery and helped young surgeons understand the anatomical relationship in the variable intraoperative views. The limitations were the technical difficulties and the time required to create the 3D models. This retrospective study lacked effectiveness in clinical application.
Oxford et al [34] 2021 Test the face and content validity of a 3D-printed bowel anastomosis simulator Canada Experimental study Large intestine n = 1; small intestine n = 1; senior residents n = 3; general surgeons n = 6 The simulator was regarded as highly realistic and helpful for training. An overall score of 3.98 was ranked for training and 4.11 for simulation-based medical education. The layers and the wall of the simulator need to be improved. The study lacked control group comparisons with the human bowel and other available simulators.
Habti et al [35] 2021 Develop a 3D-printed, low-cost, and realistic bowel model for hand-sewn bowel anastomosis (HSBA) training Canada Experimental study Small intestine simulator n = 18; surgical residents n = 16 The simulators were considered realistic and useful tools to learn and practice HSBA. The residents’ experience was limited. The silicone tore off quickly during suturing.
Neville et al [36] 2022 Create and validate a novel, affordable 3D-printed simulation model for open esophageal atresia and/or tracheoesophageal fistula repair UK Experimental study Esophagus n = 1; experienced group (consultants n = 11; senior registrar n = 1) inexperienced group (senior house officers n = 3; registrars n = 20; consultants n = 5) The 3D-printed model was cost effective, reusable, and visually and functionally comparable to the actual procedure. The anatomical realism of the model was scored 4.2 out of 5.0, surgical realism 3.9. All participants strongly agreed that the model was useful for paediatric surgery training (mean score 4.9). The availability of evaluation training resources can differ significantly between countries. Self-reported levels of experience are likely to be inaccurate. The impact of this model-based training on patient outcomes remains unknown.
Steger et al [37] 2023 Develop and validate a novel model using 3D printing technology for adhesion forces between the colon and the abdominal wall Germany Experimental study Colon training model n = 1; medical student n = 1; assistant doctors n = 3; surgeons n = 5; gastrointestinal endoscopy experts n = 2 The simulator was considered more realistic in terms of anatomical representation, including visual and tactile feedback and colon shape, and it permitted a more realistic distinction between different skill levels. The impact of this simulator on actual clinical practice outcomes remains unknown.
Mowry et al [38] 2023 Develop a 3D-printed balloon tamponade tube (BT) model and evaluate the performance of gastroenterology fellows and faculty in BT tube placement after training with the model USA Experimental study Esophagus and stomach model n = 1; gastroenterology fellows n = 15; gastroenterology faculty n = 14 The participants’ knowledge and confidence in placing a BT tube improved significantly after 3D-printed simulator training. Sefl-confidence was significantly increased in both the fellow group (from 3.7 to 6.5, p<0.001) and faculty group (from 4.8 to 8.0, p<0.001). A high degree of satisfaction was from both groups after training. This was a single-center, small-sample-size study. No data were available on the time to competence or the sustainability of the training beyond 3 months. Moreover, the impact of the training on clinical outcomes was not assessed.
Zahradniková et al [39] 2023 Develop an inexpensive and reusable 3D-printed model for thoracoscopic esophageal atresia and tracheoesophageal fistula repair training Slovakia Experimental study Esophagus model n = 1; medical students n = 7; pediatric surgery trainees n = 4; experienced surgeons n = 7 Most participants observed that the 3D model was an appropriate training tool. The highest ratings in the physical attribute area were for the overall impression and the tool’s usefulness as a simulator with a mean score of 4.66 and 4.75. Participants ranked the model’s realism and working environment with a mean score of 4.25 and 4.5, respectively. This was a single-center, with a small sample size study.
Gu et al [40] 2024 Develop a large intestine model using 3D-printed technology to provide training in colonoscope insertion, cecum intubation, loop reduction, and stenting within stenotic areas Korea Retrospective descriptive study Large intestine model n = 1 The model allowed the repeated practice of basic colonoscope insertion and stent placement for colonic stenosis and achieved a life-like representation of colonic malignant tumor-induced stenosis. The surface tension of silicone is greater than that of human colonic mucosa. Hence, the increased friction between the model surface and the endoscope resulted in strong resistance when the endoscope was inserted. This model did not create a stenosis module at the exact angulation location.
Keller-Biehl et al [41] 2024 Create a 3D rectal model, including the tumor and surrounding structures, to help in preoperative and intraoperative planning USA Case report Gastrointestinal stromal tumour model n = 1 The 3D model added value to patient care and helped the patient understand the surgery. The model did not provide any new information or alter the surgical plan. The more expensive model did not offer additional or better information than the cheaper one.
Yu et al [42] 2024 Create a 3D-printed gastrointestinal model using the PVA/PAM tridimensional hydrogel China Experimental study Novel elastic hydrogel model for surgical training n = 1 The new-material 3D-printed model exhibited high appearance levels, overall difficulty, stomach wall structure, tissue elasticity, and tactile feedback. The content validity of the model needs to be improved, particularly in terms of enhancing surgical skills and shortening the learning curve.
Table 3. 3D printing details as reported in these studies reviewed.
Table 3. 3D printing details as reported in these studies reviewed.
Article Organs Printed Imaging Modalities Used for 3D Printing Software for Image Processing and Segmentation 3D Printer 3D Printer Materials 3D Printing Methods Printing Time Printing Cost
Holt et al. [18]
Stomach and duodenum
N/A
Solidworks Corp, Waltham, Mass Connex 260 v; Stratasys Inc, Eden Prairie, Minn Silicone rubber N/A
N/A
$1,175
Kenngott et al. [19]
Rectum
CT image
MITK (German Cancer Research Center Heidelberg); VTK (Kitware Inc., New York, USA); ITK (Kitware Inc., New York, USA) Z 450, Z Corporation, Burlington, USA)
Soft silicone (Ecoflex 0010, Ecoflex 0030, and Dragon SkinFX/Pro) Silicone additive slacker (Smooth-On Inc., Easton, USA)
N/A
N/A
$200
Dickinson et al. [20]
Esophagus
CT
Proprietary software (Materialise, Leuven, Belgium); Mimics software (Objet350 Connex multi-material, Stratasys, Eden Prairie, MN) PolyJet 3D printer (Stratasys)
N/A
N/A
N/A
N/A
Kim, et al. [21]
Stomach and duodenum
CT Inhouse advanced software (AVIEW, Asan Medical Center, Seoul, Korea) Objet500 Connex3, Stratasys Corporation, Rehovot, Israel Rubber-like material (Tango™ Family)
N/A
N/A
N/A
Noda et al. [22]
Sigmoid colon and rectum
CT VINCENT Ver3.3, FUJIFILM Med. Sys. Corp. Japan, Tokyo, Japan) Fortus 360Lmc-L, Stratasys, USA
Silicone
N/A
N/A
N/A
Barber et al. [23]
Esophagus
N/A
Fusion 360 CAD software (Autodesk, San Rafael, CA)
Ultimaker 2 + 3D printer (Ultimaker, The Netherlands) Polylactic acid (PLA)
N/A
N/A
$35–$50
Lee et al. [24]
Stomach
CT
3D slicer version 4.5.0 MeshMixer 3.0 (Autodesk, San Rafael, CA, USA)
(FDM) 3D printer (clone S270 and clone K300, K. Clone, Daejeon, Korea; Replicator 2, MakerBot, Brooklyn, NY, USA) PlatSil Gel-10 (Polytech, Easton, PA, USA) silicone
Fused deposition modeling (FDM)
N/A
$230
Williams et al. [25]
Stomach
N/A
CAD software
Lulzbot TAZ4 3D printer (Aleph Objects Inc., Colorado, USA)
PLA silicone rubber (Smooth-On Inc., Pennsylvania, USA) N/A
N/A
$30/stomach
Hojo et al. [26]
Colon
CT
N/A
N/A
N/A
N/A
N/A
N/A
Lee et al. [27]
Stomach
N/A
Netfabb professional version 5 (Netfabb GmbH, Lupburg, Germany) Form 2 (Formlabs Inc, Somerville, MA, USA)
Soft silicone, Platsil Gel-10 (Polytek, Easton, PA, USA) N/A
N/A
$200
Marano et al. [28]
Esophagus, proximal stomach CT N/A
N/A
Curing resin
Stereolithography
48 working hours
$230
Kwon et al. [29]
Lower stomach and duodenum CT
MeshLab MeshMixer
3DM DW-06, 3DMaterials, Zeron-2500, Zeron, Korea
Silicone material (Dragon Skin 10, Smooth-On, USA)
N/A N/A N/A
Anwari et al. [30]
Small and large bowel
CT
Vitrea®, v.6.9, Vital Images, Minnetonka, MN Slicer software (Boston, MA); CAD software (Blender, v.2.78 Amsterdam, NL) Rostock Max V2 printer
Acrylonitrile butadiene styrene plastic
FDM
N/A
$900
(including the liver, colon, kidneys, and spleen)
Hojo et al. [31]
Colon CT
N/A N/A N/A N/A N/A N/A
Kwon et al. [32]
Stomach
CT Mimics Research 17.0 software (Materialise, Leuven, Belgium)
Elastic/Form 2, Formlabs Inc., MA, USA; Flexa 693/XFAB, DWS Inc., Meccanica, Italy; Agilus Translucent, Vero Magenta/Objet500, Stratasys, Ltd., MN, USA) Rubber-like material (Agilus Transparent; Stratasys Ltd.) silicone (MED6-6606; NuSil, CA, USA) Laser stereolithography
PolyJet printing
N/A N/A
Hojo et al. [33]
Duodenum
CT OsiriX MD (Pixmeo Sarl, Bernex, Switzerland); Meshmixer version 3.5 (Autodesk Inc., Venice, CA, USA) Airwolf 3D, Fountain Valley, CA, USA)
PLA
FDM
10 h
$10
Oxford et al. [34]
Small and large bowel N/A
Fusion 360 CAD software
Ultimaker S5 3D printer
Smooth-On silicone N/A
N/A
$2.67–$131
Habti et al. [35]
Small bowel
N/A
Fusion360™ (Autodesk Inc., San Rafael, CA)
Ultimaker S5 3D printer (Ultimaker B.V., Utrecht, The Netherlands)
3D-Fuel™ Pro PLA filament material (Fargo, ND) silicone N/A
N/A
$35
Neville et al. [36]
Esophagus
CT
ITK-SNAP version 3.8.0; Meshmixer and Fusion 360 (Autodesk Inc., CA, United States)
Prusa i3 MK3S 3D printer (Prusa Research, Prague, Czech Republic)
Platinum-catalyzed silicone (Smooth-On Inc., Pennsylvania, United States) N/A
N/A
£20
Steger et al [37]
Colon
N/A
Autodesk ReCap; Meshmixer (Autodesk, Inc., San Rafael, CA, USA); Fusion 360 (Autodesk Inc., San Rafael, CA, USA) SLA printer Formlabs2 (Formlabs GmbH, Berlin, Germany)
Durable resin
N/A N/A £260
Mowry et al [38]
Esophagus and a portion of the stomach N/A
N/A N/A Plastic (NinjaFLEX)
N/A N/A N/A
Zahradniková et al [39]
Esophagus
CT
3D Slicer Blender3D
Prusa i3 MK3S
Prusament PLA plastic silicone FDM
slightly <24 h N/A
Gu et al [40]
Large intestine CT
MEDIP PRO v2.0.0 (Medical IP Co., Ltd.) FDM-type 3D printer
silicone
FDM N/A N/A
Keller-Biehl et al [41]
Rectum
CT
Mimics Materialise (Belgium), medical segmentation software
Dynamism xRize 3D printer (Denver, USA); Stratasys J750 Digital Anatomy Printer (Minnesota, USA) Colorful resin, a translucent and flexible material
N/A
6–8 h
$30–$300
Yu et al [42]
Stomach and small and large bowel
CT and MR
Mimics Materialise Magic 24 software
FDM printer
PVA/PAM hydrogels
FDM
N/A N/A
Table 4. Quality assessment of articles using the scoring method developed by Sirriyeh et al [17].
Table 4. Quality assessment of articles using the scoring method developed by Sirriyeh et al [17].
Preprints 158161 i001
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

Disclaimer

Terms of Use

Privacy Policy

Privacy Settings

© 2025 MDPI (Basel, Switzerland) unless otherwise stated