International Multi-Site Initiative to Develop an MRI-Inclusive Nomogram for Side-Specific Prediction of Extraprostatic Extension of Prostate Cancer

Andreas G Wibmer; Michael W Kattan; Francesco Alessandrino; Alexander D J Baur; Lars Boesen; Felipe Boschini Franco; David Bonekamp; Riccardo Campa; Hannes Cash; Violeta Catalá; Sebastien Crouzet; Sounil Dinnoo; James Eastham; Fiona M Fennessy; Kamyar Ghabili; Markus Hohenfellner; Angelique W Levi; Xinge Ji; Vibeke Løgager; Daniel J Margolis; Paul C Moldovan; Valeria Panebianco; Tobias Penzkofer; Philippe Puech; Jan Philipp Radtke; Olivier Rouvière; Heinz-Peter Schlemmer; Preston C Sprenkle; Clare M Tempany; Joan C Vilanova; Jeffrey Weinreb; Hedvig Hricak; Amita Shukla-Dave

doi:10.3390/cancers13112627

International Multi-Site Initiative to Develop an MRI-Inclusive Nomogram for Side-Specific Prediction of Extraprostatic Extension of Prostate Cancer

Andreas G Wibmer, Michael W Kattan, Francesco Alessandrino, Alexander D J Baur, Lars Boesen, Felipe Boschini Franco, David Bonekamp, Riccardo Campa, Hannes Cash, Violeta Catalá, Sebastien Crouzet, Sounil Dinnoo, James Eastham, Fiona M Fennessy, Kamyar Ghabili, Markus Hohenfellner, Angelique W Levi, Xinge Ji, Vibeke Løgager, Daniel J MargolisPaul C Moldovan, Valeria Panebianco, Tobias Penzkofer, Philippe Puech, Jan Philipp Radtke, Olivier Rouvière, Heinz-Peter Schlemmer, Preston C Sprenkle, Clare M Tempany, Joan C Vilanova, Jeffrey Weinreb, Hedvig Hricak, Amita Shukla-Dave

Abstract

BACKGROUND: To develop an international, multi-site nomogram for side-specific prediction of extraprostatic extension (EPE) of prostate cancer based on clinical, biopsy, and magnetic resonance imaging- (MRI) derived data.

METHODS: Ten institutions from the USA and Europe contributed clinical and side-specific biopsy and MRI variables of consecutive patients who underwent prostatectomy. A logistic regression model was used to develop a nomogram for predicting side-specific EPE on prostatectomy specimens. The performance of the statistical model was evaluated by bootstrap resampling and cross validation and compared with the performance of benchmark models that do not incorporate MRI findings.

RESULTS: Data from 840 patients were analyzed; pathologic EPE was found in 320/840 (31.8%). The nomogram model included patient age, prostate-specific antigen density, side-specific biopsy data (i.e., Gleason grade group, percent positive cores, tumor extent), and side-specific MRI features (i.e., presence of a PI-RADSv2 4 or 5 lesion, level of suspicion for EPE, length of capsular contact). The area under the receiver operating characteristic curve of the new, MRI-inclusive model (0.828, 95% confidence limits: 0.805, 0.852) was significantly higher than that of any of the benchmark models (p < 0.001 for all).

CONCLUSIONS: In an international, multi-site study, we developed an MRI-inclusive nomogram for the side-specific prediction of EPE of prostate cancer that demonstrated significantly greater accuracy than clinical benchmark models.

Original language	English
Article number	2627
Journal	Cancers
Volume	13
Issue number	11
ISSN	2072-6694
DOIs	https://doi.org/10.3390/cancers13112627
Publication status	Published - 27 May 2021

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Wibmer, A. G., Kattan, M. W., Alessandrino, F., Baur, A. D. J., Boesen, L., Franco, F. B., Bonekamp, D., Campa, R., Cash, H., Catalá, V., Crouzet, S., Dinnoo, S., Eastham, J., Fennessy, F. M., Ghabili, K., Hohenfellner, M., Levi, A. W., Ji, X., Løgager, V., ... Shukla-Dave, A. (2021). International Multi-Site Initiative to Develop an MRI-Inclusive Nomogram for Side-Specific Prediction of Extraprostatic Extension of Prostate Cancer. Cancers, 13(11), Article 2627. https://doi.org/10.3390/cancers13112627

Wibmer, AG, Kattan, MW, Alessandrino, F, Baur, ADJ, Boesen, L, Franco, FB, Bonekamp, D, Campa, R, Cash, H, Catalá, V, Crouzet, S, Dinnoo, S, Eastham, J, Fennessy, FM, Ghabili, K, Hohenfellner, M, Levi, AW, Ji, X, Løgager, V, Margolis, DJ, Moldovan, PC, Panebianco, V, Penzkofer, T, Puech, P, Radtke, JP, Rouvière, O, Schlemmer, H-P, Sprenkle, PC, Tempany, CM, Vilanova, JC, Weinreb, J, Hricak, H & Shukla-Dave, A 2021, 'International Multi-Site Initiative to Develop an MRI-Inclusive Nomogram for Side-Specific Prediction of Extraprostatic Extension of Prostate Cancer', Cancers, vol. 13, no. 11, 2627. https://doi.org/10.3390/cancers13112627

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title = "International Multi-Site Initiative to Develop an MRI-Inclusive Nomogram for Side-Specific Prediction of Extraprostatic Extension of Prostate Cancer",

abstract = "BACKGROUND: To develop an international, multi-site nomogram for side-specific prediction of extraprostatic extension (EPE) of prostate cancer based on clinical, biopsy, and magnetic resonance imaging- (MRI) derived data.METHODS: Ten institutions from the USA and Europe contributed clinical and side-specific biopsy and MRI variables of consecutive patients who underwent prostatectomy. A logistic regression model was used to develop a nomogram for predicting side-specific EPE on prostatectomy specimens. The performance of the statistical model was evaluated by bootstrap resampling and cross validation and compared with the performance of benchmark models that do not incorporate MRI findings.RESULTS: Data from 840 patients were analyzed; pathologic EPE was found in 320/840 (31.8%). The nomogram model included patient age, prostate-specific antigen density, side-specific biopsy data (i.e., Gleason grade group, percent positive cores, tumor extent), and side-specific MRI features (i.e., presence of a PI-RADSv2 4 or 5 lesion, level of suspicion for EPE, length of capsular contact). The area under the receiver operating characteristic curve of the new, MRI-inclusive model (0.828, 95% confidence limits: 0.805, 0.852) was significantly higher than that of any of the benchmark models (p < 0.001 for all).CONCLUSIONS: In an international, multi-site study, we developed an MRI-inclusive nomogram for the side-specific prediction of EPE of prostate cancer that demonstrated significantly greater accuracy than clinical benchmark models.",

author = "Wibmer, {Andreas G} and Kattan, {Michael W} and Francesco Alessandrino and Baur, {Alexander D J} and Lars Boesen and Franco, {Felipe Boschini} and David Bonekamp and Riccardo Campa and Hannes Cash and Violeta Catal{\'a} and Sebastien Crouzet and Sounil Dinnoo and James Eastham and Fennessy, {Fiona M} and Kamyar Ghabili and Markus Hohenfellner and Levi, {Angelique W} and Xinge Ji and Vibeke L{\o}gager and Margolis, {Daniel J} and Moldovan, {Paul C} and Valeria Panebianco and Tobias Penzkofer and Philippe Puech and Radtke, {Jan Philipp} and Olivier Rouvi{\`e}re and Heinz-Peter Schlemmer and Sprenkle, {Preston C} and Tempany, {Clare M} and Vilanova, {Joan C} and Jeffrey Weinreb and Hedvig Hricak and Amita Shukla-Dave",

year = "2021",

month = may,

day = "27",

doi = "10.3390/cancers13112627",

language = "English",

volume = "13",

journal = "Cancers",

issn = "2072-6694",

publisher = "M D P I AG",

number = "11",

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TY - JOUR

T1 - International Multi-Site Initiative to Develop an MRI-Inclusive Nomogram for Side-Specific Prediction of Extraprostatic Extension of Prostate Cancer

AU - Wibmer, Andreas G

AU - Kattan, Michael W

AU - Alessandrino, Francesco

AU - Baur, Alexander D J

AU - Boesen, Lars

AU - Franco, Felipe Boschini

AU - Bonekamp, David

AU - Campa, Riccardo

AU - Cash, Hannes

AU - Catalá, Violeta

AU - Crouzet, Sebastien

AU - Dinnoo, Sounil

AU - Eastham, James

AU - Fennessy, Fiona M

AU - Ghabili, Kamyar

AU - Hohenfellner, Markus

AU - Levi, Angelique W

AU - Ji, Xinge

AU - Løgager, Vibeke

AU - Margolis, Daniel J

AU - Moldovan, Paul C

AU - Panebianco, Valeria

AU - Penzkofer, Tobias

AU - Puech, Philippe

AU - Radtke, Jan Philipp

AU - Rouvière, Olivier

AU - Schlemmer, Heinz-Peter

AU - Sprenkle, Preston C

AU - Tempany, Clare M

AU - Vilanova, Joan C

AU - Weinreb, Jeffrey

AU - Hricak, Hedvig

AU - Shukla-Dave, Amita

PY - 2021/5/27

Y1 - 2021/5/27

N2 - BACKGROUND: To develop an international, multi-site nomogram for side-specific prediction of extraprostatic extension (EPE) of prostate cancer based on clinical, biopsy, and magnetic resonance imaging- (MRI) derived data.METHODS: Ten institutions from the USA and Europe contributed clinical and side-specific biopsy and MRI variables of consecutive patients who underwent prostatectomy. A logistic regression model was used to develop a nomogram for predicting side-specific EPE on prostatectomy specimens. The performance of the statistical model was evaluated by bootstrap resampling and cross validation and compared with the performance of benchmark models that do not incorporate MRI findings.RESULTS: Data from 840 patients were analyzed; pathologic EPE was found in 320/840 (31.8%). The nomogram model included patient age, prostate-specific antigen density, side-specific biopsy data (i.e., Gleason grade group, percent positive cores, tumor extent), and side-specific MRI features (i.e., presence of a PI-RADSv2 4 or 5 lesion, level of suspicion for EPE, length of capsular contact). The area under the receiver operating characteristic curve of the new, MRI-inclusive model (0.828, 95% confidence limits: 0.805, 0.852) was significantly higher than that of any of the benchmark models (p < 0.001 for all).CONCLUSIONS: In an international, multi-site study, we developed an MRI-inclusive nomogram for the side-specific prediction of EPE of prostate cancer that demonstrated significantly greater accuracy than clinical benchmark models.

AB - BACKGROUND: To develop an international, multi-site nomogram for side-specific prediction of extraprostatic extension (EPE) of prostate cancer based on clinical, biopsy, and magnetic resonance imaging- (MRI) derived data.METHODS: Ten institutions from the USA and Europe contributed clinical and side-specific biopsy and MRI variables of consecutive patients who underwent prostatectomy. A logistic regression model was used to develop a nomogram for predicting side-specific EPE on prostatectomy specimens. The performance of the statistical model was evaluated by bootstrap resampling and cross validation and compared with the performance of benchmark models that do not incorporate MRI findings.RESULTS: Data from 840 patients were analyzed; pathologic EPE was found in 320/840 (31.8%). The nomogram model included patient age, prostate-specific antigen density, side-specific biopsy data (i.e., Gleason grade group, percent positive cores, tumor extent), and side-specific MRI features (i.e., presence of a PI-RADSv2 4 or 5 lesion, level of suspicion for EPE, length of capsular contact). The area under the receiver operating characteristic curve of the new, MRI-inclusive model (0.828, 95% confidence limits: 0.805, 0.852) was significantly higher than that of any of the benchmark models (p < 0.001 for all).CONCLUSIONS: In an international, multi-site study, we developed an MRI-inclusive nomogram for the side-specific prediction of EPE of prostate cancer that demonstrated significantly greater accuracy than clinical benchmark models.

UR - http://www.scopus.com/inward/record.url?scp=85106580240&partnerID=8YFLogxK

U2 - 10.3390/cancers13112627

DO - 10.3390/cancers13112627

M3 - Journal article

C2 - 34071842

SN - 2072-6694

VL - 13

JO - Cancers

JF - Cancers

IS - 11

M1 - 2627

ER -

International Multi-Site Initiative to Develop an MRI-Inclusive Nomogram for Side-Specific Prediction of Extraprostatic Extension of Prostate Cancer

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