Andrew B Rosenkrantz1, Justin M Ream1, Paul Nolan1, Henry Rusinek1, Fang-Ming Deng2, Samir S Taneja3. 1. 1 Department of Radiology, Center for Biomedical Imaging, NYU School of Medicine, NYU Langone Medical Center, 660 First Ave, 3rd Fl, New York, NY 10016. 2. 2 Department of Pathology, NYU School of Medicine, NYU Langone Medical Center, New York, NY. 3. 3 Department of Urology, Division of Urologic Oncology, NYU School of Medicine, NYU Langone Medical Center, New York, NY.
Abstract
OBJECTIVE: The purpose of this study was to investigate the additional value of whole-lesion histogram apparent diffusion coefficient (ADC) metrics, when combined with standard pathologic features, in prediction of biochemical recurrence (BCR) after radical prostatectomy for prostate cancer. MATERIALS AND METHODS: The study included 193 patients (mean age, 61 ± 7 years) who underwent 3-T MRI with DWI (b values, 50 and 1000 s/mm(2)) before prostatectomy. Histogram metrics were derived from 3D volumes of interest encompassing the entire lesion on ADC maps. Pathologic features from radical prostatectomy and subsequent BCR were recorded for each patient. The Fisher exact test and Mann-Whitney test were used to compare ADC-based metrics and pathologic features between patients with and patients without BCR. Stepwise logistic regression analysis was used to construct multivariable models for prediction of BCR, which were assessed by ROC analysis. RESULTS: BCR occurred in 16.6% (32/193) of patients. Variables significantly associated with BCR included primary Gleason grade, Gleason score, extraprostatic extension, seminal vesicle invasion, positive surgical margin, preoperative prostate-specific antigen level, MRI tumor volume, mean whole-lesion ADC, entropy ADC, and mean ADC of the bottom 10th, 10-25th, and 25-50th percentiles (p ≤ 0.019). Significant independent predictors of BCR at multivariable analysis were primary Gleason grade, extraprostatic extension, mean of the bottom 10th percentile ADC, and entropy ADC (p = 0.002-0.037). The AUC of this multivariable model was 0.94 for prediction of BCR; the AUC of pathologic features alone was 0.89 (p = 0.001). CONCLUSION: A model integrating whole-lesion ADC metrics had significantly higher performance for prediction of BCR than did standard pathologic features alone and may help guide postoperative prognostic assessments and decisions regarding adjuvant therapy.
OBJECTIVE: The purpose of this study was to investigate the additional value of whole-lesion histogram apparent diffusion coefficient (ADC) metrics, when combined with standard pathologic features, in prediction of biochemical recurrence (BCR) after radical prostatectomy for prostate cancer. MATERIALS AND METHODS: The study included 193 patients (mean age, 61 ± 7 years) who underwent 3-T MRI with DWI (b values, 50 and 1000 s/mm(2)) before prostatectomy. Histogram metrics were derived from 3D volumes of interest encompassing the entire lesion on ADC maps. Pathologic features from radical prostatectomy and subsequent BCR were recorded for each patient. The Fisher exact test and Mann-Whitney test were used to compare ADC-based metrics and pathologic features between patients with and patients without BCR. Stepwise logistic regression analysis was used to construct multivariable models for prediction of BCR, which were assessed by ROC analysis. RESULTS: BCR occurred in 16.6% (32/193) of patients. Variables significantly associated with BCR included primary Gleason grade, Gleason score, extraprostatic extension, seminal vesicle invasion, positive surgical margin, preoperative prostate-specific antigen level, MRI tumor volume, mean whole-lesion ADC, entropy ADC, and mean ADC of the bottom 10th, 10-25th, and 25-50th percentiles (p ≤ 0.019). Significant independent predictors of BCR at multivariable analysis were primary Gleason grade, extraprostatic extension, mean of the bottom 10th percentile ADC, and entropy ADC (p = 0.002-0.037). The AUC of this multivariable model was 0.94 for prediction of BCR; the AUC of pathologic features alone was 0.89 (p = 0.001). CONCLUSION: A model integrating whole-lesion ADC metrics had significantly higher performance for prediction of BCR than did standard pathologic features alone and may help guide postoperative prognostic assessments and decisions regarding adjuvant therapy.
Authors: Andrew J Stephenson; Alex Smith; Michael W Kattan; Jaya Satagopan; Victor E Reuter; Peter T Scardino; William L Gerald Journal: Cancer Date: 2005-07-15 Impact factor: 6.860
Authors: Andrew J Stephenson; Peter T Scardino; James A Eastham; Fernando J Bianco; Zohar A Dotan; Christopher J DiBlasio; Alwyn Reuther; Eric A Klein; Michael W Kattan Journal: J Clin Oncol Date: 2005-10-01 Impact factor: 44.544
Authors: Stephen J Freedland; Elizabeth B Humphreys; Leslie A Mangold; Mario Eisenberger; Alan W Partin Journal: J Urol Date: 2006-10 Impact factor: 7.450
Authors: Jochen Walz; Felix K-H Chun; Eric A Klein; Alwyn Reuther; Fred Saad; Markus Graefen; Hartwig Huland; Pierre I Karakiewicz Journal: J Urol Date: 2008-12-13 Impact factor: 7.450
Authors: Michael H Fuchsjäger; Amita Shukla-Dave; Hedvig Hricak; Liang Wang; Karim Touijer; John F Donohue; James A Eastham; Michael W Kattan Journal: BJU Int Date: 2009-02-11 Impact factor: 5.588
Authors: Deanna L Langer; Theodorus H van der Kwast; Andrew J Evans; Laibao Sun; Martin J Yaffe; John Trachtenberg; Masoom A Haider Journal: Radiology Date: 2008-12 Impact factor: 11.105
Authors: Scott E Eggener; Andrew J Vickers; Angel M Serio; Michael J Donovan; Faisal M Khan; Valentina Bayer-Zubek; David Verbel; Carlos Cordon-Cardo; Victor E Reuter; Fernando J Bianco; Peter T Scardino Journal: Cancer Date: 2009-01-15 Impact factor: 6.860
Authors: Matthew J Watson; Arvin K George; Mahir Maruf; Thomas P Frye; Akhil Muthigi; Michael Kongnyuy; Subin G Valayil; Peter A Pinto Journal: Future Oncol Date: 2016-07-12 Impact factor: 3.404
Authors: Nelly Tan; Luyao Shen; Pooria Khoshnoodi; Héctor E Alcalá; Weixia Yu; William Hsu; Robert E Reiter; David Y Lu; Steven S Raman Journal: J Urol Date: 2017-11-08 Impact factor: 7.450
Authors: Katja Pinker; Fuki Shitano; Evis Sala; Richard K Do; Robert J Young; Andreas G Wibmer; Hedvig Hricak; Elizabeth J Sutton; Elizabeth A Morris Journal: J Magn Reson Imaging Date: 2017-11-02 Impact factor: 4.813
Authors: Andrew B Rosenkrantz; Anunita Khasgiwala; Ankur M Doshi; Justin M Ream; Samir S Taneja; Herbert Lepor Journal: Abdom Radiol (NY) Date: 2017-01
Authors: Stephanie A Harmon; William Gesztes; Denise Young; Sherif Mehralivand; Yolanda McKinney; Thomas Sanford; Jonathan Sackett; Jennifer Cullen; Inger L Rosner; Shiv Srivastava; Maria J Merino; Bradford J Wood; Peter A Pinto; Peter L Choyke; Albert Dobi; Isabell A Sesterhenn; Baris Turkbey Journal: Radiology Date: 2021-04-13 Impact factor: 29.146