Evaluating deep learning and radiologist performance in volumetric prostate cancer analysis with biparametric MRI and histopathologically mapped slides

Siegel RL, Giaquinto AN, Jemal A. Cancer statistics, 2024. CA Cancer J Clin. 2024;74(1):12–49.

Article  PubMed  Google Scholar 

Padhani AR, Barentsz J, Villeirs G, Rosenkrantz AB, Margolis DJ, Turkbey B, et al. PI-RADS Steering Committee: The PI-RADS Multiparametric MRI and MRI-directed Biopsy Pathway. Radiology. 2019;292(2):464–74.

Article  PubMed  Google Scholar 

Kasivisvanathan V, Rannikko AS, Borghi M, Panebianco V, Mynderse LA, Vaarala MH, et al. MRI-Targeted or Standard Biopsy for Prostate-Cancer Diagnosis. N Engl J Med. 2018;378(19):1767–77.

Article  PubMed  PubMed Central  Google Scholar 

Dias AB, Chang SD, Fennessy FM, Ghafoor S, Ghai S, Panebianco V, et al. New Prostate MRI Scoring Systems (PI-QUAL, PRECISE, PI-RR, and PI-FAB): AJR Expert Panel Narrative Review. AJR Am J Roentgenol. 2024 Apr 3. https://doi.org/10.2214/AJR.24.30956. Epub ahead of print. PMID: 38568038.

Giganti F, Dickinson L, Orczyk C, Haider A, Freeman A, Emberton M, et al. Prostate Imaging after Focal Ablation (PI-FAB): A Proposal for a Scoring System for Multiparametric MRI of the Prostate After Focal Therapy. Eur Urol Oncol. 2023;6(6):629–34.

Article  PubMed  Google Scholar 

Panebianco V, Villeirs G, Weinreb JC, Turkbey BI, Margolis DJ, Richenberg J, et al. Prostate Magnetic Resonance Imaging for Local Recurrence Reporting (PI-RR): International Consensus -based Guidelines on Multiparametric Magnetic Resonance Imaging for Prostate Cancer Recurrence after Radiation Therapy and Radical Prostatectomy. Eur Urol Oncol. 2021;4(6):868–76.

Article  PubMed  Google Scholar 

Gelikman DG, Kenigsberg AP, Mee Law Y, Yilmaz EC, Harmon SA, Parikh SH, et al. Evaluating Diagnostic Accuracy and Inter-reader Agreement of the Prostate Imaging After Focal Ablation Scoring System. Eur Urol Open Sci. 2024;62:74–80.

Article  PubMed  PubMed Central  Google Scholar 

Heard JR, Naser-Tavakolian A, Nazmifar M, Ahdoot M. Focal prostate cancer therapy in the era of multiparametric MRI: a review of options and outcomes. Prostate Cancer Prostatic Dis. 2023;26(2):218–27.

Article  PubMed  Google Scholar 

Choi YH, Yu JW, Kang MY, Sung HH, Jeong BC, Seo SI, et al. Combination of multiparametric magnetic resonance imaging and transrectal ultrasound-guided prostate biopsies is not enough for identifying patients eligible for hemiablative focal therapy for prostate cancer. World J Urol. 2019;37(10):2129–35.

Article  PubMed  Google Scholar 

Johnson DC, Yang JJ, Kwan L, Barsa DE, Mirak SA, Pooli A, et al. Do contemporary imaging and biopsy techniques reliably identify unilateral prostate cancer? Implications for hemiablation patient selection. Cancer. 2019;125(17):2955–64.

Article  CAS  PubMed  Google Scholar 

Zhou SR, Priester AM, Jayadevan R, Johnson DC, Yang JJ, Ballon J, et al. Using spatial tracking with magnetic resonance imaging/ultrasound-guided biopsy to identify unilateral prostate cancer. BJU Int. 2020;125(3):399–406.

Article  PubMed  Google Scholar 

Zhou Z, Zhou Y, Yan W, Sun H, Li Q, Li H, Ji Z. Unilateral lesion detected on preoperative multiparametric magnetic resonance imaging and MRI/US fusion-guided prostate biopsy is not an appropriate indication for focal therapy in prostate cancer. Urol Oncol. 2021;39(10):730 e17- e22.

Article  Google Scholar 

Sun C, Chatterjee A, Yousuf A, Antic T, Eggener S, Karczmar GS, Oto A. Comparison of T2-Weighted Imaging, DWI, and Dynamic Contrast-Enhanced MRI for Calculation of Prostate Cancer Index Lesion Volume: Correlation With Whole-Mount Pathology. AJR Am J Roentgenol. 2019;212(2):351–6.

Article  PubMed  Google Scholar 

Pooli A, Johnson DC, Shirk J, Markovic D, Sadun TY, Sisk AE, Jr., et al. Predicting Pathological Tumor Size in Prostate Cancer Based on Multiparametric Prostate Magnetic Resonance Imaging and Preoperative Findings. J Urol. 2021;205(2):444–51.

Article  PubMed  Google Scholar 

Bratan F, Melodelima C, Souchon R, Hoang Dinh A, Mège-Lechevallier F, Crouzet S, et al. How accurate is multiparametric MR imaging in evaluation of prostate cancer volume? Radiology. 2015;275(1):144–54.

Article  PubMed  Google Scholar 

Priester A, Natarajan S, Khoshnoodi P, Margolis DJ, Raman SS, Reiter RE, et al. Magnetic Resonance Imaging Underestimation of Prostate Cancer Geometry: Use of Patient Specific Molds to Correlate Images with Whole Mount Pathology. J Urol. 2017;197(2):320–6.

Article  PubMed  Google Scholar 

Turkbey B, Rosenkrantz AB, Haider MA, Padhani AR, Villeirs G, Macura KJ, et al. Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2. Eur Urol. 2019;76(3):340–51.

Weinreb JC, Barentsz JO, Choyke PL, Cornud F, Haider MA, Macura KJ, et al. PI-RADS Prostate Imaging - Reporting and Data System: 2015, Version 2. Eur Urol. 2016;69(1):16–40.

Shah V, Pohida T, Turkbey B, Mani H, Merino M, Pinto PA, et al. A method for correlating in vivo prostate magnetic resonance imaging and histopathology using individualized magnetic resonance-based molds. Rev Sci Instrum. 2009;80(10):104301.

Article  PubMed  PubMed Central  Google Scholar 

Turkbey B, Mani H, Aras O, Rastinehad AR, Shah V, Bernardo M, et al. Correlation of magnetic resonance imaging tumor volume with histopathology. J Urol. 2012;188(4):1157–63.

Article  PubMed  PubMed Central  Google Scholar 

Turkbey B, Pinto PA, Mani H, Bernardo M, Pang Y, McKinney YL, et al. Prostate cancer: value of multiparametric MR imaging at 3 T for detection–histopathologic correlation. Radiology. 2010;255(1):89–99.

Article  PubMed  PubMed Central  Google Scholar 

Bankhead P, Loughrey MB, Fernandez JA, Dombrowski Y, McArt DG, Dunne PD, et al. QuPath: Open source software for digital pathology image analysis. Sci Rep. 2017;7(1):16878.

Article  PubMed  PubMed Central  Google Scholar 

Jonmarker S, Valdman A, Lindberg A, Hellstrom M, Egevad L. Tissue shrinkage after fixation with formalin injection of prostatectomy specimens. Virchows Arch. 2006;449(3):297–301.

Article  PubMed  Google Scholar 

Fedorov A, Penzkofer T, Hirsch MS, Flood TA, Vangel MG, Masry P, et al. The role of pathology correlation approach in prostate cancer index lesion detection and quantitative analysis with multiparametric MRI. Acad Radiol. 2015;22(5):548–55.

Article  PubMed  PubMed Central  Google Scholar 

Mehralivand S, Yang D, Harmon SA, Xu D, Xu Z, Roth H, et al. A Cascaded Deep Learning-Based Artificial Intelligence Algorithm for Automated Lesion Detection and Classification on Biparametric Prostate Magnetic Resonance Imaging. Acad Radiol. 2022;29(8):1159–68.

Article  PubMed  Google Scholar 

Shao W, Banh L, Kunder CA, Fan RE, Soerensen SJC, Wang JB, et al. ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate. Med Image Anal. 2021;68:101919.

Article  PubMed  Google Scholar 

Christie DRH, Sharpley CF. How accurately can multiparametric magnetic resonance imaging measure the tumour volume of a prostate cancer? Results of a systematic review. J Med Imaging Radiat Oncol. 2020;64(3):398–407.

Article  PubMed  Google Scholar 

Le Nobin J, Rosenkrantz AB, Villers A, Orczyk C, Deng FM, Melamed J, et al. Image Guided Focal Therapy for Magnetic Resonance Imaging Visible Prostate Cancer: Defining a 3-Dimensional Treatment Margin Based on Magnetic Resonance Imaging Histology Co-Registration Analysis. J Urol. 2015;194(2):364–70.

Article  PubMed  PubMed Central  Google Scholar 

Martorana E, Pirola GM, Scialpi M, Micali S, Iseppi A, Bonetti LR, et al. Lesion volume predicts prostate cancer risk and aggressiveness: validation of its value alone and matched with prostate imaging reporting and data system score. BJU Int. 2017;120(1):92–103.

Article  CAS  PubMed  Google Scholar 

Sorce G, Stabile A, Luciano R, Motterle G, Scuderi S, Barletta F, et al. Multiparametric magnetic resonance imaging of the prostate underestimates tumour volume of small visible lesions. BJU Int. 2022;129(2):201–7.

Article  PubMed  Google Scholar 

Chinea FM, Lyapichev K, Epstein JI, Kwon D, Smith PT, Pollack A, et al. Understanding PSA and its derivatives in prediction of tumor volume: Addressing health disparities in prostate cancer risk stratification. Oncotarget. 2017;8(13):20802–12.

Article  PubMed  PubMed Central  Google Scholar 

Moroianu Ş L, Bhattacharya I, Seetharaman A, Shao W, Kunder CA, Sharma A, et al. Computational Detection of Extraprostatic Extension of Prostate Cancer on Multiparametric MRI Using Deep Learning. Cancers (Basel). 2022;14(12).

Simon BD, Merriman KM, Harmon SA, Tetreault J, Yilmaz EC, Blake Z, et al. Automated Detection and Grading of Extraprostatic Extension of Prostate Cancer at MRI via Cascaded Deep Learning and Random Forest Classification. Acad Radiol. 2024;31(10):4096–106.

Article  PubMed  Google Scholar 

Ong S, Chen K, Grummet J, Yaxley J, Scheltema MJ, Stricker P, et al. Guidelines of guidelines: focal therapy for prostate cancer, is it time for consensus? BJU Int. 2023;131(1):20–31.

Article  PubMed  Google Scholar 

Tay KJ, Scheltema MJ, Ahmed HU, Barret E, Coleman JA, Dominguez-Escrig J, et al. Patient selection for prostate focal therapy in the era of active surveillance: an International Delphi Consensus Project. Prostate Cancer Prostatic Dis. 2017;20(3):294–9.

Article  CAS  PubMed 

留言 (0)

沒有登入
gif