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Combined Endorectal and Phased-Array MRI in the Prediction of Pelvic Lymph Node Metastasis in Prostate Cancer

Liang Wang1, Hedvig Hricak1, Michael W. Kattan2,3, Lawrence H. Schwartz1, Steven C. Eberhardt1,4, Hui-Ni Chen1 and Peter T. Scardino2

1 Department of Radiology, Memorial Sloan-Kettering Cancer Center, 1275 York Ave., Rm. C-278, New York, NY 10021.
2 Department of Urology, Sidney Kimmel Center for Prostate and Urologic Cancers, Memorial Sloan-Kettering Cancer Center, New York, NY 10021.
3 Present address: Department of Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, OH 44195.
4 Present address: Department of Radiology, University of New Mexico Health Sciences Center, Albuquerque, NM 87131.


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  		Fig. 1 —Graph shows that each multivariate model had greater area under receiver operating characteristic curve (AUC) than model A (green) (Table 7), which included only MRI findings for lymph node metastasis (LMN). Model combining MRI findings for seminal vesicle invasion and LNM (model F) (red) had greater AUC than model A: 0.714 vs 0.633, respectively (p = 0.08). Model combining MRI findings for extracapsular extension and LNM (model G) (blue) had greater AUC than model A: 0.798 vs 0.633, respectively (p = 0.15). Model combining MRI findings for extracapsular extension, seminal vesicle invasion, and LNM (model H) (yellow) had greater AUC than model A: 0.813 vs 0.633, respectively (p = 0.11). Model combining MRI findings for extracapsular extension, seminal vesicle invasion, and LNM and Partin tomogram prediction of LNM (model I) (black) had significantly greater AUC than model A: 0.892 vs 0.633, respectively (p < 0.01).

 

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