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Associations between Statin/Omega3 Usage and MRI-Based Radiomics Signatures in Prostate Cancer

Prostate cancer is the most common noncutaneous cancer and the second leading cause of cancer deaths among American men. Statins and omega-3 are two medications recently found to correlate with prostate cancer risk and aggressiveness, but the observed associations are complex and controversial. We t...

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Autores principales: Shi, Yu, Wahle, Ethan, Du, Qian, Krajewski, Luke, Liang, Xiaoying, Zhou, Sumin, Zhang, Chi, Baine, Michael, Zheng, Dandan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7825695/
https://www.ncbi.nlm.nih.gov/pubmed/33430275
http://dx.doi.org/10.3390/diagnostics11010085
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author Shi, Yu
Wahle, Ethan
Du, Qian
Krajewski, Luke
Liang, Xiaoying
Zhou, Sumin
Zhang, Chi
Baine, Michael
Zheng, Dandan
author_facet Shi, Yu
Wahle, Ethan
Du, Qian
Krajewski, Luke
Liang, Xiaoying
Zhou, Sumin
Zhang, Chi
Baine, Michael
Zheng, Dandan
author_sort Shi, Yu
collection PubMed
description Prostate cancer is the most common noncutaneous cancer and the second leading cause of cancer deaths among American men. Statins and omega-3 are two medications recently found to correlate with prostate cancer risk and aggressiveness, but the observed associations are complex and controversial. We therefore explore the novel application of radiomics in studying statin and omega-3 usage in prostate cancer patients. On MRIs of 91 prostate cancer patients, two regions of interest (ROIs), the whole prostate and the peripheral region of the prostate, were manually segmented. From each ROI, 944 radiomic features were extracted after field bias correction and normalization. Heatmaps were generated to study the radiomic feature patterns against statin or omega-3 usage. Radiomics models were trained on selected features and evaluated with 500-round threefold cross-validation for each drug/ROI combination. On the 1500 validation datasets, the radiomics model achieved average AUCs of 0.70, 0.74, 0.78, and 0.72 for omega-3/prostate, omega-3/peripheral, statin/prostate, and statin/peripheral, respectively. As the first study to analyze radiomics in relation to statin and omega-3 uses in prostate cancer patients, our study preliminarily established the existence of imaging-identifiable tissue-level changes in the prostate and illustrated the potential usefulness of radiomics for further exploring these medications’ effects and mechanisms in prostate cancer.
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spelling pubmed-78256952021-01-24 Associations between Statin/Omega3 Usage and MRI-Based Radiomics Signatures in Prostate Cancer Shi, Yu Wahle, Ethan Du, Qian Krajewski, Luke Liang, Xiaoying Zhou, Sumin Zhang, Chi Baine, Michael Zheng, Dandan Diagnostics (Basel) Article Prostate cancer is the most common noncutaneous cancer and the second leading cause of cancer deaths among American men. Statins and omega-3 are two medications recently found to correlate with prostate cancer risk and aggressiveness, but the observed associations are complex and controversial. We therefore explore the novel application of radiomics in studying statin and omega-3 usage in prostate cancer patients. On MRIs of 91 prostate cancer patients, two regions of interest (ROIs), the whole prostate and the peripheral region of the prostate, were manually segmented. From each ROI, 944 radiomic features were extracted after field bias correction and normalization. Heatmaps were generated to study the radiomic feature patterns against statin or omega-3 usage. Radiomics models were trained on selected features and evaluated with 500-round threefold cross-validation for each drug/ROI combination. On the 1500 validation datasets, the radiomics model achieved average AUCs of 0.70, 0.74, 0.78, and 0.72 for omega-3/prostate, omega-3/peripheral, statin/prostate, and statin/peripheral, respectively. As the first study to analyze radiomics in relation to statin and omega-3 uses in prostate cancer patients, our study preliminarily established the existence of imaging-identifiable tissue-level changes in the prostate and illustrated the potential usefulness of radiomics for further exploring these medications’ effects and mechanisms in prostate cancer. MDPI 2021-01-07 /pmc/articles/PMC7825695/ /pubmed/33430275 http://dx.doi.org/10.3390/diagnostics11010085 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Shi, Yu
Wahle, Ethan
Du, Qian
Krajewski, Luke
Liang, Xiaoying
Zhou, Sumin
Zhang, Chi
Baine, Michael
Zheng, Dandan
Associations between Statin/Omega3 Usage and MRI-Based Radiomics Signatures in Prostate Cancer
title Associations between Statin/Omega3 Usage and MRI-Based Radiomics Signatures in Prostate Cancer
title_full Associations between Statin/Omega3 Usage and MRI-Based Radiomics Signatures in Prostate Cancer
title_fullStr Associations between Statin/Omega3 Usage and MRI-Based Radiomics Signatures in Prostate Cancer
title_full_unstemmed Associations between Statin/Omega3 Usage and MRI-Based Radiomics Signatures in Prostate Cancer
title_short Associations between Statin/Omega3 Usage and MRI-Based Radiomics Signatures in Prostate Cancer
title_sort associations between statin/omega3 usage and mri-based radiomics signatures in prostate cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7825695/
https://www.ncbi.nlm.nih.gov/pubmed/33430275
http://dx.doi.org/10.3390/diagnostics11010085
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