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

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          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.

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          Most cited references30

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          Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach

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            Cancer statistics, 2023

            Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths in the United States and compiles the most recent data on population-based cancer occurrence and outcomes using incidence data collected by central cancer registries and mortality data collected by the National Center for Health Statistics. In 2023, 1,958,310 new cancer cases and 609,820 cancer deaths are projected to occur in the United States. Cancer incidence increased for prostate cancer by 3% annually from 2014 through 2019 after two decades of decline, translating to an additional 99,000 new cases; otherwise, however, incidence trends were more favorable in men compared to women. For example, lung cancer in women decreased at one half the pace of men (1.1% vs. 2.6% annually) from 2015 through 2019, and breast and uterine corpus cancers continued to increase, as did liver cancer and melanoma, both of which stabilized in men aged 50 years and older and declined in younger men. However, a 65% drop in cervical cancer incidence during 2012 through 2019 among women in their early 20s, the first cohort to receive the human papillomavirus vaccine, foreshadows steep reductions in the burden of human papillomavirus-associated cancers, the majority of which occur in women. Despite the pandemic, and in contrast with other leading causes of death, the cancer death rate continued to decline from 2019 to 2020 (by 1.5%), contributing to a 33% overall reduction since 1991 and an estimated 3.8 million deaths averted. This progress increasingly reflects advances in treatment, which are particularly evident in the rapid declines in mortality (approximately 2% annually during 2016 through 2020) for leukemia, melanoma, and kidney cancer, despite stable/increasing incidence, and accelerated declines for lung cancer. In summary, although cancer mortality rates continue to decline, future progress may be attenuated by rising incidence for breast, prostate, and uterine corpus cancers, which also happen to have the largest racial disparities in mortality.
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              Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2

              The Prostate Imaging Reporting and Data System version 2 (PI-RADS v2) was developed with a consensus-based process using a combination of published data, and expert observations and opinions. In the short time since its release, numerous studies have validated the value of PI-RADS v2 but, as expected, have also identified a number of ambiguities and limitations, some of which have been documented in the literature with potential solutions offered. To address these issues, the PI-RADS Steering Committee, again using a consensus-based process, has recommended several modifications to PI-RADS v2, maintaining the framework of assigning scores to individual sequences and using these scores to derive an overall assessment category. This updated version, described in this article, is termed PI-RADS v2.1. It is anticipated that the adoption of these PI-RADS v2.1 modifications will improve inter-reader variability and simplify PI-RADS assessment of prostate magnetic resonance imaging even further. Research on the value and limitations on all components of PI-RADS v2.1 is strongly encouraged.
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                Author and article information

                Journal
                Cancer Res Commun
                Cancer Res Commun
                Cancer Research Communications
                American Association for Cancer Research
                2767-9764
                March 2024
                27 March 2024
                : 4
                : 3
                : 938-945
                Affiliations
                [1 ]Department of Imaging, Cedars Sinai Medical Center, Los Angeles, California.
                [2 ]Biomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, California.
                [3 ]Cedars Sinai Medical Center, Biostatistics and Bioinformatics Research Center, Los Angeles, California.
                [4 ]Cardiovascular Innovation Research Center, Heart Vascular Thoracic Institute, Cleveland Clinic, Cleveland, Ohio.
                [5 ]Department of Pathology Cedars Sinai Medical Center, Los Angeles, California.
                [6 ]Department of Urology, Cedars Sinai Medical Center, Los Angels, California.
                Author notes

                D. Li and H.L. Kim contributed equally to this article.

                Corresponding Author: Hyung Lae Kim, Cedars-Sinai Medical Center, 8635 West Third St, 1070W, Los Angeles, CA 90048. E-mail: kimhl@ 123456csmc.edu
                Author information
                https://orcid.org/0000-0003-0464-3786
                https://orcid.org/0000-0002-0333-567X
                https://orcid.org/0000-0002-1150-703X
                https://orcid.org/0009-0008-9426-829X
                https://orcid.org/0000-0003-1475-2329
                https://orcid.org/0000-0001-8189-0540
                https://orcid.org/0000-0002-7540-3272
                https://orcid.org/0000-0001-7118-0852
                https://orcid.org/0000-0001-8021-5690
                https://orcid.org/0000-0001-8560-8231
                https://orcid.org/0000-0003-2085-6140
                Article
                CRC-24-0009
                10.1158/2767-9764.CRC-24-0009
                10967695
                38497678
                fe0f8b82-e0c7-4e76-ac37-e062ae64c02e
                © 2024 The Authors; Published by the American Association for Cancer Research

                This open access article is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

                History
                : 07 January 2024
                : 27 February 2024
                : 13 March 2024
                Page count
                Pages: 8
                Funding
                Funded by: HHS | NIH | National Cancer Institute (NCI), DOI 10.13039/100000054;
                Award ID: R01CA217098
                Award Recipient : Award Recipient : Award Recipient : Award Recipient : Award Recipient : Award Recipient : Award Recipient :
                Categories
                Research Article
                Genitourinary Cancers
                Prostate Cancer
                Clinical Trial Results
                Imaging
                Magnetic resonance imaging (MRI)
                Custom metadata
                true

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