作者
Shoshana B Ginsburg, Ahmad Algohary, Shivani Pahwa, Vikas Gulani, Lee Ponsky, Hannu J Aronen, Peter J Boström, Maret Böhm, Anne‐Maree Haynes, Phillip Brenner, Warick Delprado, James Thompson, Marley Pulbrock, Pekka Taimen, Robert Villani, Phillip Stricker, Ardeshir R Rastinehad, Ivan Jambor, Anant Madabhushi
发表日期
2017/7
期刊
Journal of Magnetic Resonance Imaging
卷号
46
期号
1
页码范围
184-193
简介
Purpose
To evaluate in a multi‐institutional study whether radiomic features useful for prostate cancer (PCa) detection from 3 Tesla (T) multi‐parametric MRI (mpMRI) in the transition zone (TZ) differ from those in the peripheral zone (PZ).
Materials and Methods
3T mpMRI, including T2‐weighted (T2w), apparent diffusion coefficient (ADC) maps, and dynamic contrast‐enhanced MRI (DCE‐MRI), were retrospectively obtained from 80 patients at three institutions. This study was approved by the institutional review board of each participating institution. First‐order statistical, co‐occurrence, and wavelet features were extracted from T2w MRI and ADC maps, and contrast kinetic features were extracted from DCE‐MRI. Feature selection was performed to identify 10 features for PCa detection in the TZ and PZ, respectively. Two logistic regression classifiers used these features to detect PCa and were evaluated by area …
学术搜索中的文章
SB Ginsburg, A Algohary, S Pahwa, V Gulani, L Ponsky… - Journal of Magnetic Resonance Imaging, 2017