1. Adding multiparametric MRI to the MSKCC and Partin nomograms for primary prostate cancer: Improving local tumor staging?
- Author
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Jansen BHE, Nieuwenhuijzen JA, Oprea-Lager DE, Yska MJ, Lont AP, van Moorselaar RJA, and Vis AN
- Subjects
- Adenocarcinoma pathology, Adenocarcinoma surgery, Aged, Humans, Male, Middle Aged, Neoplasm Grading methods, Neoplasm Staging methods, Predictive Value of Tests, Preoperative Period, Prostate pathology, Prostate surgery, Prostatectomy methods, Prostatic Neoplasms pathology, Prostatic Neoplasms surgery, ROC Curve, Robotic Surgical Procedures methods, Adenocarcinoma diagnosis, Multiparametric Magnetic Resonance Imaging, Nomograms, Prostate diagnostic imaging, Prostatic Neoplasms diagnosis
- Abstract
Introduction and Objectives: As a single diagnostic modality, multiparametric MRI (mpMRI) has imperfect accuracy to detect locally advanced prostate cancer (T-stages 3-4). In this study we evaluate if combining mpMRI with preoperative nomograms (Memorial Sloan Kettering Cancer Center [MSKCC] and Partin) improves the prediction of locally advanced tumors., Materials and Methods: Preoperative mpMRI results of 430 robot-assisted radical prostatectomy patients were analyzed. MSKCC and Partin nomogram scores predicting extraprostatic growth were calculated. Logistic regression analysis was performed, combining the nomogram prediction scores with mpMRI results. The diagnostic value of the combined models was evaluated by creating receiver operator characteristics curves and comparing the area under the curve (AUC)., Results: mpMRI was a significant predictor of locally advanced disease in addition to both the MSKCC and Partin nomogram, despite its low sensitivity (45.3%). However, overall predictive accuracy increased by only 1% when mpMRI was added to the MSKCC nomogram (AUC MSKCC 0.73 vs MSKCC + mpMRI 0.74). Predictive accuracy for the Partin Tables increased 4% (AUC Partin 0.62 vs Partin + mpMRI 0.66)., Conclusion: The addition of mpMRI to the preoperative MSKCC and Partin nomograms did not increase diagnostic accuracy for the prediction of locally advanced prostate cancer., (Copyright © 2018 Elsevier Inc. All rights reserved.)
- Published
- 2019
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