MRI Assessment of Pathological Stage and Surgical Margins in Anterior Prostate Cancer (APC) Using Subjective and Quantitative Analysis

作者:Schieda Nicola; Lim Christopher S; Idris Muhammad; Lim Robert S; Morash Christopher; Breau Rodney H; Flood Trevor A; McInnes Matthew D F
来源:Journal of Magnetic Resonance Imaging, 2017, 45(5): 1296-1303.
DOI:10.1002/jmri.25510

摘要

Purpose: To evaluate magnetic resonance imaging (MRI) for assessment of extraprostatic extension (EPE) and positive surgical margins (PSM) in anterior prostate cancer (APC). Materials and Methods: With Institutional Review Board approval, 25 APC (>2/3 of tumor anterior to urethra) were assessed using 3T MRI by two blinded radiologists for: size and maximal leading edge of tumor (relative to anterior fibromuscular stroma LAFMS1) on b >= 1000 sec/mm(2) echo-planar-MRI fused onto T-2-weighted-MRI, invasion of AFMS and EPE. Comparisons were performed between APCs by EPE/PSM using chi-square, multivariable analysis, and receiver operator characteristic (ROC) analysis. Results: The prevalence of EPE and PSM were 52% (13/25) and 36% (9/25). Tumor sizes were larger with EPE (22.5 L-8.4 vs. 14.7 +/- 6.3, P = 0.02) and PSM (23.0 +/- 9.3 vs. 16.4 7.0, P = 0.06). Area under ROC curve (AUC-ROC) for the diagnosis of EPE by tumor size was 0.77 (95% confidence interval ICI] 0.58-0.95); >16 mm size = sensitivity/specificity 69.2/66.7%. Maximal leading edge of tumor was greater with EPE (2.4 2.2 vs. -0.2 +/- 3.0) and PSM (2.8 2.3 vs. 0.3 +/- 2.5), (P = 0.023, 0.031). AUC-ROC for diagnosis of EPE/PSM by leading edge was 0.78 (Cl 0.57-0.97) and 0.75 (Cl 0.56-0.94). A >1 mm leading edge yielded sensitivity/specificity of 76.9/75.0% and 77.8/62.5% for diagnosis of EPE/ PSM. 60-72% (15-18/25) tumors invaded AFMS (k -0.74), which was not associated with EPE/PSM (P -0.12-0.14). Radiologists assessment of EPE had sensitivity/specificity of 61.5-69.2/50.0-75.0% (k = 0.53). Conclusion: Tumor size and leading edge of tumor relative to AFMS may enable diagnosis of EPE and positive surgical margins in APC.

  • 出版日期2017-5