Christopher Nguyen1,2, Ali-Reza Sharif-Afshar3, Zhaoyang Fan1, Yibin Xie1,2, Sidney Wilson2, Xiaoming Bi4, Lucas Payor5, Rola Saouaf5, Hyung Kim3, Debiao Li1,2. 1. Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA. 2. Department of Bioengineering, University of California Los Angeles, Los Angeles, California, USA. 3. Department of Surgery, Division of Urology, Cedars-Sinai Medical Center, Los Angeles, California, USA. 4. Siemens Healthcare, Los Angeles, California, USA. 5. Department of Radiology, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Abstract
PURPOSE: To improve spatial resolution and image quality of diffusion-weighted (DW) MRI in detecting low-risk prostate cancer (lrPC) in patients undergoing active surveillance protocol (AS-PC), we propose the application of a diffusion-prepared balanced steady-state free precession (bSSFP) technique capable of multishot acquisition. METHODS: Diffusion-prepared bSSFP was compared with single-shot DW echo planar imaging (SS-DW-EPI) at two prescribed resolutions (2.1 × 2.1 × 3.5mm(3) , 0.9 × 0.9 × 3.5 mm(3) ) in nine healthy subjects and nine AS-PC patients. Geometric distortion and susceptibility artifacts were quantitatively assessed in all subjects. In AS-PC patients, lesion detection via blinded multiparametric MRI including T1-weighted, T2-weighted, dynamic contrast-enhanced imaging, and along with either of two DW methods were evaluated against 12-point biopsy. RESULTS: Geometric distortion and susceptibility artifacts were significantly less for diffusion-prepared bSSFP at both prescribed spatial resolutions than SS-DW-EPI. Apparent diffusion coefficients of healthy prostate tissue were concordant between the two DW methods at both spatial resolutions. In AS-PC patients, multiparametric MRI with diffusion-prepared bSSFP had greater sensitivity (94%, 63%), accuracy (76%, 67%), positive-predictive value (54%, 48%), negative-predictive value (97%, 82%), and area under the curve (0.80, 0.67) than with SS-DW-EPI. CONCLUSIONS: The proposed diffusion-prepared technique with higher spatial resolution and improved image quality over SS-DW-EPI resulted in better multiparametric MRI detection of lrPC in AS-PC patients.
PURPOSE: To improve spatial resolution and image quality of diffusion-weighted (DW) MRI in detecting low-risk prostate cancer (lrPC) in patients undergoing active surveillance protocol (AS-PC), we propose the application of a diffusion-prepared balanced steady-state free precession (bSSFP) technique capable of multishot acquisition. METHODS: Diffusion-prepared bSSFP was compared with single-shot DW echo planar imaging (SS-DW-EPI) at two prescribed resolutions (2.1 × 2.1 × 3.5mm(3) , 0.9 × 0.9 × 3.5 mm(3) ) in nine healthy subjects and nine AS-PCpatients. Geometric distortion and susceptibility artifacts were quantitatively assessed in all subjects. In AS-PCpatients, lesion detection via blinded multiparametric MRI including T1-weighted, T2-weighted, dynamic contrast-enhanced imaging, and along with either of two DW methods were evaluated against 12-point biopsy. RESULTS: Geometric distortion and susceptibility artifacts were significantly less for diffusion-prepared bSSFP at both prescribed spatial resolutions than SS-DW-EPI. Apparent diffusion coefficients of healthy prostate tissue were concordant between the two DW methods at both spatial resolutions. In AS-PCpatients, multiparametric MRI with diffusion-prepared bSSFP had greater sensitivity (94%, 63%), accuracy (76%, 67%), positive-predictive value (54%, 48%), negative-predictive value (97%, 82%), and area under the curve (0.80, 0.67) than with SS-DW-EPI. CONCLUSIONS: The proposed diffusion-prepared technique with higher spatial resolution and improved image quality over SS-DW-EPI resulted in better multiparametric MRI detection of lrPC in AS-PCpatients.
Authors: Jianmin Yuan; Yuxin Hu; Anne Menini; Christopher M Sandino; Jesse Sandberg; Vipul Sheth; Catherine J Moran; Marcus Alley; Michael Lustig; Brian Hargreaves; Shreyas Vasanawala Journal: Magn Reson Med Date: 2019-11-29 Impact factor: 4.668
Authors: Ali-Reza Sharif-Afshar; Christopher Nguyen; Tom S Feng; Lucas Payor; Zhaoyang Fan; Rola Saouaf; Debiao Li; Hyung L Kim Journal: EBioMedicine Date: 2016-04-08 Impact factor: 8.143
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Authors: Jesse K Sandberg; Victoria A Young; Ali B Syed; Jianmin Yuan; Yuxin Hu; Christopher Sandino; Anne Menini; Brian Hargreaves; Shreyas Vasanawala Journal: J Magn Reson Imaging Date: 2020-08-19 Impact factor: 5.119