Preoperative Multiparametric Magnetic Resonance Imaging Predicts Biochemical Recurrence in Prostate Cancer after Radical Prostatectomy

Autor: Bradford J. Wood, Michele Fascelli, Steven Abboud, Baris Turkbey, Richard Ho, Thomas Frye, Maria J. Merino, Peter A. Pinto, Raju Chelluri, Arvin K. George, Sandeep Sankineni, M. Minhaj Siddiqui, Nabeel Shakir, Peter L. Choyke, Annerleim Walton-Diaz, Amichai Kilchevsky
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Male
medicine.medical_treatment
Biopsy
030232 urology & nephrology
lcsh:Medicine
Kaplan-Meier Estimate
Pathology and Laboratory Medicine
Diagnostic Radiology
Prostate cancer
0302 clinical medicine
Mathematical and Statistical Techniques
Recurrence
Medicine and Health Sciences
Reproductive System Procedures
lcsh:Science
Multidisciplinary
medicine.diagnostic_test
Prostatectomy
Radiology and Imaging
Prostate Cancer
Prostate Diseases
Middle Aged
Prognosis
Magnetic Resonance Imaging
Radical Prostatectomy
Oncology
030220 oncology & carcinogenesis
Physical Sciences
Prostate gland
Anatomy
Statistics (Mathematics)
Research Article
Biochemical recurrence
medicine.medical_specialty
Imaging Techniques
Urology
Clinical Decision-Making
Surgical and Invasive Medical Procedures
Research and Analysis Methods
03 medical and health sciences
Exocrine Glands
Signs and Symptoms
Diagnostic Medicine
Preoperative Care
medicine
Humans
Statistical Methods
Multiparametric Magnetic Resonance Imaging
Aged
Neoplasm Staging
Proportional Hazards Models
Surgical Excision
business.industry
lcsh:R
Cancers and Neoplasms
Biology and Life Sciences
Prostatic Neoplasms
Magnetic resonance imaging
Prostate-Specific Antigen
equipment and supplies
medicine.disease
Genitourinary Tract Tumors
Multivariate Analysis
Lesions
lcsh:Q
Prostate Gland
Neoplasm Grading
business
human activities
Mathematics
Forecasting
Zdroj: PLoS ONE
PLoS ONE, Vol 11, Iss 6, p e0157313 (2016)
ISSN: 1932-6203
Popis: OBJECTIVES:To evaluate the utility of preoperative multiparametric magnetic resonance imaging (MP-MRI) in predicting biochemical recurrence (BCR) following radical prostatectomy (RP). MATERIALS/METHODS:From March 2007 to January 2015, 421 consecutive patients with prostate cancer (PCa) underwent preoperative MP-MRI and RP. BCR-free survival rates were estimated using the Kaplan-Meier method. Cox proportional hazards models were used to identify clinical and imaging variables predictive of BCR. Logistic regression was performed to generate a nomogram to predict three-year BCR probability. RESULTS:Of the total cohort, 370 patients met inclusion criteria with 39 (10.5%) patients experiencing BCR. On multivariate analysis, preoperative prostate-specific antigen (PSA) (p = 0.01), biopsy Gleason score (p = 0.0008), MP-MRI suspicion score (p = 0.03), and extracapsular extension on MP-MRI (p = 0.03) were significantly associated with time to BCR. A nomogram integrating these factors to predict BCR at three years after RP demonstrated a c-index of 0.84, outperforming the predictive value of Gleason score and PSA alone (c-index 0.74, p = 0.02). CONCLUSION:The addition of MP-MRI to standard clinical factors significantly improves prediction of BCR in a post-prostatectomy PCa cohort. This could serve as a valuable tool to support clinical decision-making in patients with moderate and high-risk cancers.
Databáze: OpenAIRE
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