High-resolution Diffusion-weighted Imaging to Detect Changes in Tumor Size and ADC, and Predict Adverse Biopsy Histology during Prostate Cancer Active Surveillance

Author:

Saouaf Rola1ORCID,Xie Yibin2ORCID,Kim Sungjin3ORCID,Raphael Yaniv1ORCID,Nguyen Christopher4ORCID,Luthringer Daniel5ORCID,Daskivich Timothy J.6ORCID,Lo Eric6ORCID,Tighiouart Mourad3ORCID,Li Debiao2ORCID,Kim Hyung L.6ORCID

Affiliation:

1. 1Department of Imaging, Cedars Sinai Medical Center, Los Angeles, California.

2. 2Biomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, California.

3. 3Cedars Sinai Medical Center, Biostatistics and Bioinformatics Research Center, Los Angeles, California.

4. 4Cardiovascular Innovation Research Center, Heart Vascular Thoracic Institute, Cleveland Clinic, Cleveland, Ohio.

5. 5Department of Pathology Cedars Sinai Medical Center, Los Angeles, California.

6. 6Department of Urology, Cedars Sinai Medical Center, Los Angels, California.

Abstract

Abstract Purpose: Majority of men with low-risk prostate cancer can be managed with active surveillance (AS). This study evaluates a high-resolution diffusion-weighted imaging (HR-DWI) technique to predict adverse biopsy histology (AH), defined as Gleason score ≥7 on any biopsy or ≥3 increase in number of positive biopsy cores on systematic biopsies. We test the hypothesis that high-grade disease and progressing disease undergo subtle changes during even short intervals that can be detected by HR-DWI. Experimental Design: In a prospective clinical trial, serial multiparametric MRIs, incorporating HR-DWI and standard DWI (S-DWI) were performed approximately 12 months apart prior to prostate biopsy (n = 59). HR-DWI, which uses reduced field-of-view and motion compensation techniques, was compared with S-DWI. Results: HR-DWI had a 3-fold improvement in spacial resolution compared with S-DWI as confirmed using imaging phantoms. For detecting AH, multiparametric MRI using HR-DWI had a sensitivity of 75% and specificity of 83.9%, and MRI using S-DWI had a sensitivity of 71.4% and specificity of 54.8%. The AUC for HR-DWI was significantly higher (0.794 vs. 0.631, P = 0.014). Secondary analyses of univariable predictors of AH showed tumor size increase [OR 16.8; 95% confidence interval (CI): 4.06–69.48; P < 0.001] and apparent diffusion coefficient (ADC) decrease (OR 5.06; 95% CI: 1.39–18.38; P = 0.014) on HR-DWI were significant predictors of AH. Conclusion: HR-DWI outperforms S-DWI in predicting AH. Patient with AH have tumors that change in size and ADC that could be detected using HR-DWI. Future studies with longer follow-up should assess HR-DWI for predicting disease progression during AS. Significance: We report on a prospective clinical trial using a MRI that has three times the resolution of standard MRI. During AS for prostate cancer, two high-resolution MRIs performed approximately a year apart can detect tumor changes that predict the presence of aggressive cancers that should be considered for curative therapy such as prostatectomy or radiation.

Funder

HHS | NIH | National Cancer Institute

Publisher

American Association for Cancer Research (AACR)

Reference33 articles.

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