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Re: Tissue-Based Genomics Augments Post-Prostatectomy Risk Stratification in a Natural History Cohort of Intermediate- and High-Risk Men [Comment]
Taneja, Samir S
PMID: 26699962
ISSN: 1527-3792
CID: 2548552
Re: Chemohormonal Therapy in Metastatic Hormone-Sensitive Prostate Cancer [Comment]
Taneja, Samir S
PMID: 26699961
ISSN: 1527-3792
CID: 2548562
A prospective comparative analysis of the accuracy of HistoScanning and multiparametric magnetic resonance imaging in the localization of prostate cancer among men undergoing radical prostatectomy
Orczyk, Clement; Rosenkrantz, Andrew B; Deng, Fang-Ming; Melamed, Jonathan; Babb, James; Wysock, James; Kheterpal, Emil; Huang, William C; Stifelman, Michael; Lepor, Herbert; Taneja, Samir S
INTRODUCTION: There is increasing interest in using imaging in the detection and localization of prostate cancer (PCa). Both multiparametric magnetic resonance imaging (mpMRI) and HistoScanning (HS) have been independently evaluated in the detection and localization of PCa. We undertook a prospective, blinded comparison of mpMRI and HS for cancer localization among men undergoing radical prostatectomy. METHODS: Following approval by the institutional review board, men scheduled to undergo radical prostatectomy, who had previously undergone mpMRI at our institution, were offered inclusion in the study. Those consenting underwent preoperative HS following induction of anesthesia; mpMRI, HS, and surgical step-section pathology were independently read by a single radiologist, urologist, and pathologist, respectively, in a blinded fashion. Disease maps created by each independent reader were compared and evaluated for concordance by a 5 persons committee consisting of 2 urologists, 2 pathologists, and 1 radiologist. Logistic regression for correlated data was used to assess and compare mpMRI and HS in terms of diagnostic accuracy for cancer detection. Generalized estimating equations based on binary logistic regression were used to model concordance between reader opinion and the reference standard assessment of the same lesion site or region as a function of imaging modality. RESULTS: Data from 31/35 men enrolled in the trial were deemed to be evaluable. On evaluation of cancer localization, HS identified cancer in 36/78 (46.2%) regions of interest, as compared with 41/78 (52.6%) on mpMRI (P = 0.3968). The overall accuracy, positive predictive value, negative predictive value, and specificity for detection of disease within a region of interest were significantly better with mpMRI as compared with HS. HS detected 36/84 (42.9%) cancer foci as compared with 42/84 (50%) detected by mpMRI (P = 0.3678). Among tumors with Gleason score>6, mpMRI detected 19/22 (86.4%) whereas HS detected only 11/22 (50%, P = 0.0078). Similarly, among tumors>10mm in maximal diameter, mpMRI detected 28/34 (82.4%) whereas HS detected only 19/34 (55.9%, P = 0.0352). CONCLUSION: In our institution, the diagnostic accuracy of HS was inferior to that of mpMRI in PCa for PCa detection and localization. Although our study warrants validation from larger cohorts, it would suggest that the HS protocol requires further refinement before clinical implementation.
PMID: 26338414
ISSN: 1873-2496
CID: 1761982
Re: Duration of Androgen Suppression before Radiotherapy for Localized Prostate Cancer: Radiation Therapy Oncology Group Randomized Clinical Trial 9910 [Comment]
Taneja, Samir S
PMID: 26699964
ISSN: 1527-3792
CID: 2548542
Multiparametric mri of the prostate as a tool for prostate cancer detection, localization, and risk assessment
Chapter by: Bjurlin, MA; Mendhiratta, N; Taneja, SS
in: The Prostate Cancer Dilemma: Selecting Patients for Active Surveillance, Focal Ablation and Definitive Therapy by
pp. 107-126
ISBN: 9783319214856
CID: 2026152
AUTHOR'S REPLY
Bjurlin, Marc A; Mendhiratta, Neil; Wysock, James S; Taneja, Samir S
PMCID:4846738
PMID: 27123319
ISSN: 2080-4806
CID: 2092152
Practical Barriers to Obtaining Pre-Biopsy Prostate MRI: Assessment in Over 1,500 Consecutive Men Undergoing Prostate Biopsy in a Single Urologic Practice
Rosenkrantz, Andrew B; Lepor, Herbert; Huang, William C; Taneja, Samir S
PMID: 27160263
ISSN: 1423-0399
CID: 2107492
Multiparametric MRI and targeted prostate biopsy: Improvements in cancer detection, localization, and risk assessment
Bjurlin, Marc A; Mendhiratta, Neil; Wysock, James S; Taneja, Samir S
INTRODUCTION: Multiparametric-MRI (mp-MRI) is an evolving noninvasive imaging modality that increases the accurate localization of prostate cancer at the time of MRI targeted biopsy, thereby enhancing clinical risk assessment, and improving the ability to appropriately counsel patients regarding therapy. MATERIAL AND METHODS: We used MEDLINE/PubMed to conduct a comprehensive search of the English medical literature. Articles were reviewed, data was extracted, analyzed, and summarized. In this review, we discuss the mp-MRI prostate exam, its role in targeted prostate biopsy, along with clinical applications and outcomes of MRI targeted biopsies. RESULTS: Mp-MRI, consisting of T2-weighted imaging, diffusion-weighted imaging, dynamic contrast-enhanced imaging, and possibly MR spectroscopy, has demonstrated improved specificity in prostate cancer detection as compared to conventional T2-weighted images alone. An MRI suspicion score has been developed and is depicted using an institutional Likert or, more recently, a standardized reporting scale (PI-RADS). Techniques of MRI-targeted biopsy include in-gantry MRI guided biopsy, TRUS-guided visual estimation biopsy, and software co-registered MRI-US guided biopsy (MRI-US fusion). Among men with no previous biopsy, MRI-US fusion biopsy demonstrates up to a 20% increase in detection of clinically significant cancers compared to systematic biopsy while avoiding a significant portion of low risk disease. These data suggest a potential role in reducing over-detection and, ultimately, over-treatment. Among men with previous negative biopsy, 72-87% of cancers detected by MRI targeted biopsy are clinically significant. Among men with known low risk cancer, repeat biopsy by MR-targeting improves risk stratification in selecting men appropriate for active surveillance secondarily reducing the need for repetitive biopsy during surveillance. CONCLUSIONS: Use of mp-MRI for targeting prostate biopsies has the potential to reduce the sampling error associated with conventional biopsy by providing better disease localization and sampling. MRI-ultrasound fusion-targeted prostate biopsy may improve the identification of clinically significant prostate cancer while limiting detection of indolent disease, ultimately facilitating more accurate risk stratification. Literature supports the clinical applications of MRI-targeted biopsy in men who have never been biopsied before, those with a prior negative biopsy, and those with low risk disease considering active surveillance.
PMCID:4846729
PMID: 27123316
ISSN: 2080-4806
CID: 2092142
Prostate Cancer: Utility of Whole-Lesion Apparent Diffusion Coefficient Metrics for Prediction of Biochemical Recurrence After Radical Prostatectomy
Rosenkrantz, Andrew B; Ream, Justin M; Nolan, Paul; Rusinek, Henry; Deng, Fang-Ming; Taneja, Samir S
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.
PMCID:4691847
PMID: 26587927
ISSN: 1546-3141
CID: 1848852
Re: Adverse Pathology and Undetectable Ultrasensitive Prostate-Specific Antigen after Radical Prostatectomy: Is Adjuvant Radiation Warranted?
Taneja, Samir S
PMID: 26582665
ISSN: 1527-3792
CID: 2548582