Submitted:
31 January 2024
Posted:
01 February 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Study design
2.2. Patients
2.3. Biopsy procedure
2.4. Specimen handling and ex vivo confocal microscopy of the target biopsies
2.5. Intraoperative FCM analysis of the target biopsies as a triage test
2.6. Statistical analyses
3. Results
3.1. Final Tumor diagnoses in the cohort
3.2. MRI-findings and Detection of Cancer in the TBx
3.3. Detection of Cancer in the intraday FCM-Examination of the TBx
3.4. Detection rate of csPCa in the intraday FCM-Examination of the TBx
3.5. FCM analysis of target biopsies as an intraday triage test
3.6. Interobserver analysis of FCM diagnoses
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Siegel, R.L.; Miller, K.D.; Wagle, N.S.; Jemal, A. Cancer statistics, 2023. CA Cancer J Clin 2023, 73, 17–48. [Google Scholar] [CrossRef] [PubMed]
- Haffner, M.C.; Zwart, W.; Roudier, M.P.; True, L.D.; Nelson, W.G.; Epstein, J.I.; De Marzo, A.M.; Nelson, P.S.; Yegnasubramanian, S. Genomic and phenotypic heterogeneity in prostate cancer. Nat Rev Urol 2021, 18, 79–92. [Google Scholar] [CrossRef] [PubMed]
- Schroder, F.H.; Hugosson, J.; Roobol, M.J.; Tammela, T.L.; Zappa, M.; Nelen, V.; Kwiatkowski, M.; Lujan, M.; Maattanen, L.; Lilja, H.; et al. Screening and prostate cancer mortality: results of the European Randomised Study of Screening for Prostate Cancer (ERSPC) at 13 years of follow-up. Lancet 2014, 384, 2027–2035. [Google Scholar] [CrossRef] [PubMed]
- Loeb, S.; Bjurlin, M.A.; Nicholson, J.; Tammela, T.L.; Penson, D.F.; Carter, H.B.; Carroll, P.; Etzioni, R. Overdiagnosis and overtreatment of prostate cancer. Eur Urol 2014, 65, 1046–1055. [Google Scholar] [CrossRef] [PubMed]
- Kasivisvanathan, V.; Emberton, M.; Moore, C.M. MRI-Targeted Biopsy for Prostate-Cancer Diagnosis. N Engl J Med 2018, 379, 589–590. [Google Scholar] [CrossRef] [PubMed]
- Schoots, I.G.; Padhani, A.R. Delivering Clinical impacts of the MRI diagnostic pathway in prostate cancer diagnosis. Abdom Radiol (NY) 2020, 45, 4012–4022. [Google Scholar] [CrossRef] [PubMed]
- Thompson, J.E.; Moses, D.; Shnier, R.; Brenner, P.; Delprado, W.; Ponsky, L.; Pulbrook, M.; Bohm, M.; Haynes, A.M.; Hayen, A.; et al. Multiparametric magnetic resonance imaging guided diagnostic biopsy detects significant prostate cancer and could reduce unnecessary biopsies and over detection: a prospective study. J Urol 2014, 192, 67–74. [Google Scholar] [CrossRef] [PubMed]
- Ahmed, H.U.; El-Shater Bosaily, A.; Brown, L.C.; Gabe, R.; Kaplan, R.; Parmar, M.K.; Collaco-Moraes, Y.; Ward, K.; Hindley, R.G.; Freeman, A.; et al. Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study. Lancet 2017, 389, 815–822. [Google Scholar] [CrossRef]
- Rouviere, O.; Puech, P.; Renard-Penna, R.; Claudon, M.; Roy, C.; Mege-Lechevallier, F.; Decaussin-Petrucci, M.; Dubreuil-Chambardel, M.; Magaud, L.; Remontet, L.; et al. Use of prostate systematic and targeted biopsy on the basis of multiparametric MRI in biopsy-naive patients (MRI-FIRST): a prospective, multicentre, paired diagnostic study. Lancet Oncol 2019, 20, 100–109. [Google Scholar] [CrossRef]
- van der Leest, M.; Cornel, E.; Israel, B.; Hendriks, R.; Padhani, A.R.; Hoogenboom, M.; Zamecnik, P.; Bakker, D.; Setiasti, A.Y.; Veltman, J.; et al. Head-to-head Comparison of Transrectal Ultrasound-guided Prostate Biopsy Versus Multiparametric Prostate Resonance Imaging with Subsequent Magnetic Resonance-guided Biopsy in Biopsy-naive Men with Elevated Prostate-specific Antigen: A Large Prospective Multicenter Clinical Study. Eur Urol 2019, 75, 570–578. [Google Scholar] [CrossRef]
- Emmett, L.; Buteau, J.; Papa, N.; Moon, D.; Thompson, J.; Roberts, M.J.; Rasiah, K.; Pattison, D.A.; Yaxley, J.; Thomas, P.; et al. The Additive Diagnostic Value of Prostate-specific Membrane Antigen Positron Emission Tomography Computed Tomography to Multiparametric Magnetic Resonance Imaging Triage in the Diagnosis of Prostate Cancer (PRIMARY): A Prospective Multicentre Study. Eur Urol 2021, 80, 682–689. [Google Scholar] [CrossRef] [PubMed]
- Hugosson, J.; Mansson, M.; Wallstrom, J.; Axcrona, U.; Carlsson, S.V.; Egevad, L.; Geterud, K.; Khatami, A.; Kohestani, K.; Pihl, C.G.; et al. Prostate Cancer Screening with PSA and MRI Followed by Targeted Biopsy Only. N Engl J Med 2022, 387, 2126–2137. [Google Scholar] [CrossRef] [PubMed]
- Jahn, J.L.; Giovannucci, E.L.; Stampfer, M.J. The high prevalence of undiagnosed prostate cancer at autopsy: implications for epidemiology and treatment of prostate cancer in the Prostate-specific Antigen-era. Int J Cancer 2015, 137, 2795–2802. [Google Scholar] [CrossRef]
- James, C.; Brunckhorst, O.; Eymech, O.; Stewart, R.; Dasgupta, P.; Ahmed, K. Fear of cancer recurrence and PSA anxiety in patients with prostate cancer: a systematic review. Support Care Cancer 2022, 30, 5577–5589. [Google Scholar] [CrossRef] [PubMed]
- Silberbogen, A.K.; Busby, A.K.; Ulloa, E.W. Impact of Psychological Distress on Prostate Cancer Screening in U.S. Military Veterans. Am J Mens Health 2014, 8, 399–408. [Google Scholar] [CrossRef] [PubMed]
- Dale, W.; Bilir, P.; Han, M.; Meltzer, D. The role of anxiety in prostate carcinoma: a structured review of the literature. Cancer 2005, 104, 467–478. [Google Scholar] [CrossRef] [PubMed]
- Stevens, C.; Bondy, S.J.; Loblaw, D.A. Wait times in prostate cancer diagnosis and radiation treatment. Can Urol Assoc J 2010, 4, 243–248. [Google Scholar] [CrossRef] [PubMed]
- Osowiecka, K.; Nawrocki, S.; Kurowicki, M.; Rucinska, M. The Waiting Time of Prostate Cancer Patients in Poland. Int J Environ Res Public Health 2019, 16. [Google Scholar] [CrossRef] [PubMed]
- Ragazzi, M.; Piana, S.; Longo, C.; Castagnetti, F.; Foroni, M.; Ferrari, G.; Gardini, G.; Pellacani, G. Fluorescence confocal microscopy for pathologists. Mod Pathol 2014, 27, 460–471. [Google Scholar] [CrossRef]
- Rocco, B.; Sighinolfi, M.C.; Sandri, M.; Spandri, V.; Cimadamore, A.; Volavsek, M.; Mazzucchelli, R.; Lopez-Beltran, A.; Eissa, A.; Bertoni, L.; et al. Digital Biopsy with Fluorescence Confocal Microscope for Effective Real-time Diagnosis of Prostate Cancer: A Prospective, Comparative Study. Eur Urol Oncol 2021, 4, 784–791. [Google Scholar] [CrossRef]
- Abd Ali, F.; Sievert, K.D.; Eisenblaetter, M.; Titze, B.; Hansen, T.; Barth, P.J.; Titze, U. MRI-Guided Targeted and Systematic Prostate Biopsies as Prognostic Indicators for Prostate Cancer Treatment Decisions. Cancers (Basel) 2023, 15. [Google Scholar] [CrossRef] [PubMed]
- Cohen, J. Weighted kappa: nominal scale agreement with provision for scaled disagreement or partial credit. Psychol Bull 1968, 70, 213–220. [Google Scholar] [CrossRef] [PubMed]
- Landis, J.R.; Koch, G.G. The measurement of observer agreement for categorical data. Biometrics 1977, 33, 159–174. [Google Scholar] [CrossRef] [PubMed]
- Lam, T.B.L.; MacLennan, S.; Willemse, P.M.; Mason, M.D.; Plass, K.; Shepherd, R.; Baanders, R.; Bangma, C.H.; Bjartell, A.; Bossi, A.; et al. EAU-EANM-ESTRO-ESUR-SIOG Prostate Cancer Guideline Panel Consensus Statements for Deferred Treatment with Curative Intent for Localised Prostate Cancer from an International Collaborative Study (DETECTIVE Study). Eur Urol 2019, 76, 790–813. [Google Scholar] [CrossRef]
- Mohler, J.L.; Antonarakis, E.S.; Armstrong, A.J.; D'Amico, A.V.; Davis, B.J.; Dorff, T.; Eastham, J.A.; Enke, C.A.; Farrington, T.A.; Higano, C.S.; et al. Prostate Cancer, Version 2.2019, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw 2019, 17, 479–505. [Google Scholar] [CrossRef]
- Various. S3 guideline prostate carcinoma, long version 6.0, 2021, . AWMF register number: 043/022OL. http://www.leitlinienprogramm-onkologie.de/leitlinien/prostatakrebs/ 2021.




| TBx+SBx | FCM_UT | FCM_BT | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Diagnosis | n | No Tumor | suspect | GS≤6 | GS≥7 | No Tumor | suspect | GS≤6 | GS≥7 |
| No Tumor | 54 | 46 | 8 | 0 | 0 | 51 | 1 | 2 | 0 |
| suspect | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| GS≤6 | 56 | 16 | 10 | 30 | 0 | 23 | 4 | 29 | 0 |
| GS≥7 | 40 | 4 | 2 | 7 | 27 | 4 | 2 | 10 | 24 |
| ∑ | 150 | 66 | 20 | 37 | 27 | 78 | 7 | 41 | 24 |
| % | 100% | 44% | 13% | 25% | 18% | 52% | 5% | 27% | 16% |
| Sensitivity (GS≥7) | 68% | 60% | |||||||
| Specificity | 100% | 100% | |||||||
| Positive p.v. | 100% | 100% | |||||||
| Negative p.v. | 89% | 87% | |||||||
| Kappa (GS≥7) | 0,75 (substantial) | 0,69 (substantial) | |||||||
| Kappa (overall) | 0,55 (moderate) | 0,54 (moderate) | |||||||
| Diagnosis | n | No Tumor | suspect | VL Risk | L – H Risk | No Tumor | suspect | VL Risk | L - H Risk |
| No Tumor | 54 | 46 | 8 | 0 | 0 | 51 | 1 | 1 | 1 |
| suspect | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| VL Risk | 26 | 9 | 8 | 9 | 0 | 16 | 0 | 7 | 3 |
| L – H Risk | 70 | 11 | 4 | 9 | 46 | 11 | 6 | 11 | 42 |
| ∑ | 150 | 66 | 20 | 18 | 46 | 78 | 7 | 19 | 46 |
| % | 100% | 44% | 13% | 12% | 31% | 52% | 5% | 13% | 31% |
| Sensitivity | 66% | 60% | |||||||
| Specificity | 100% | 95% | |||||||
| Positive p.v. | 100% | 91% | |||||||
| Negative p.v. | 77% | 77% | |||||||
| Kappa (L-H Risk) | 0,67 (substantial) | 0,56 (substantial) | |||||||
| Kappa (overall) | 0,52 (moderate) | 0,49 (moderate) | |||||||
| FCM of TBx | Histology (TBx + SBx) | ||||||
|---|---|---|---|---|---|---|---|
| Diagnosis | N | No tumor | Tumor | GS≤6 | GS≥7 | No interv. | Therapy |
| No Tumor | 66 | 46 | 20 | 16 | 4 | 62 | 4 |
| Suspect | 20 | 8 | 12 | 10 | 2 | 18 | 2 |
| GS≤6 | 37 | 0 | 37 | 30 | 7 | 30 | 7 |
| GS≥7 | 27 | 0 | 27 | 0 | 27 | 0 | 27 |
| 150 | 54 | 96 | 56 | 40 | 110 | 40 | |
| FCM of TBx | NCCN-Risk stratification | Tumor Board | |||||
| Diagnosis | N | Very Low | Low | Intermediate | High | No interv. | Therapy |
| No Tumor | 66 | 9 | 2 | 8 | 1 | 55 | 11 |
| Suspect | 20 | 8 | 2 | 2 | 0 | 16 | 4 |
| VLR-Pca | 18 | 9 | 6 | 3 | 0 | 9 | 9 |
| L-HR Pca | 46 | 0 | 3 | 31 | 12 | 0 | 46 |
| 150 | 26 | 13 | 44 | 13 | 80 | 70 | |
| FCM_UT | |||||||
| No Tumor | suspect | GS≤6 | GS≥7 | ||||
| FCM_BT | No Tumor | 65 | 13 | 0 | 0 | 78 | 52% |
| suspect | 1 | 4 | 2 | 0 | 7 | 5% | |
| GS≤6 | 0 | 3 | 35 | 3 | 41 | 27% | |
| GS≥7 | 0 | 0 | 0 | 24 | 24 | 16% | |
| 66 | 20 | 37 | 27 | 150 | |||
| 44% | 13% | 25% | 18% | ||||
| Level of agreement (Κ) | 0,78 | substantial | |||||
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