Literature DB >> 33430275

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

Yu Shi1, Ethan Wahle2, Qian Du1, Luke Krajewski2, Xiaoying Liang3, Sumin Zhou2, Chi Zhang1, Michael Baine2, Dandan Zheng2.   

Abstract

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.

Entities:  

Keywords:  MRI; artificial intelligence; omega-3; prostate cancer; radiomics; statin

Year:  2021        PMID: 33430275      PMCID: PMC7825695          DOI: 10.3390/diagnostics11010085

Source DB:  PubMed          Journal:  Diagnostics (Basel)        ISSN: 2075-4418


  38 in total

Review 1.  Multiparametric MRI and radiomics in prostate cancer: a review.

Authors:  Yu Sun; Hayley M Reynolds; Bimal Parameswaran; Darren Wraith; Mary E Finnegan; Scott Williams; Annette Haworth
Journal:  Australas Phys Eng Sci Med       Date:  2019-02-14       Impact factor: 1.430

2.  Radiomics and radiogenomics of prostate cancer.

Authors:  Clayton P Smith; Marcin Czarniecki; Sherif Mehralivand; Radka Stoyanova; Peter L Choyke; Stephanie Harmon; Baris Turkbey
Journal:  Abdom Radiol (NY)       Date:  2019-06

3.  Statin Therapy to Improve Prostate Cancer Outcomes: Who, When, and for How Long?

Authors:  Emma H Allott; Michael R Freeman; Stephen J Freedland
Journal:  Eur Urol       Date:  2018-08-31       Impact factor: 20.096

4.  The transcriptional coactivator FHL2 transmits Rho signals from the cell membrane into the nucleus.

Authors:  Judith M Müller; Eric Metzger; Holger Greschik; Anja-Katrin Bosserhoff; Luka Mercep; Reinhard Buettner; Roland Schüle
Journal:  EMBO J       Date:  2002-02-15       Impact factor: 11.598

5.  Regulation of androgen receptor transactivity and mTOR-S6 kinase pathway by Rheb in prostate cancer cell proliferation.

Authors:  Takashi Kobayashi; Yosuke Shimizu; Naoki Terada; Toshinari Yamasaki; Eijiro Nakamura; Yoshinobu Toda; Hiroyuki Nishiyama; Toshiyuki Kamoto; Osamu Ogawa; Takahiro Inoue
Journal:  Prostate       Date:  2010-06-01       Impact factor: 4.104

6.  The effect of statins on advanced prostate cancer patients with androgen deprivation therapy or abiraterone/enzalutamide: A systematic review and meta-analysis.

Authors:  Hui Yang; Lizhen Pang; Xiaopeng Hu; Wei Wang; Bifang Xu; Xiaodong Zhang; Lihong Liu
Journal:  J Clin Pharm Ther       Date:  2020-01-17       Impact factor: 2.512

7.  Computational Radiomics System to Decode the Radiographic Phenotype.

Authors:  Joost J M van Griethuysen; Andriy Fedorov; Chintan Parmar; Ahmed Hosny; Nicole Aucoin; Vivek Narayan; Regina G H Beets-Tan; Jean-Christophe Fillion-Robin; Steve Pieper; Hugo J W L Aerts
Journal:  Cancer Res       Date:  2017-11-01       Impact factor: 12.701

8.  Effects of concentrated long-chain omega-3 polyunsaturated fatty acid supplementation before radical prostatectomy on prostate cancer proliferation, inflammation, and quality of life: study protocol for a phase IIb, randomized, double-blind, placebo-controlled trial.

Authors:  Marie-Hélène Guertin; Karine Robitaille; Jean-François Pelletier; Thierry Duchesne; Pierre Julien; Josée Savard; Isabelle Bairati; Vincent Fradet
Journal:  BMC Cancer       Date:  2018-01-10       Impact factor: 4.430

9.  Multiparametric MRI for Prostate Cancer Characterization: Combined Use of Radiomics Model with PI-RADS and Clinical Parameters.

Authors:  Piotr Woźnicki; Niklas Westhoff; Thomas Huber; Philipp Riffel; Matthias F Froelich; Eva Gresser; Jost von Hardenberg; Alexander Mühlberg; Maurice Stephan Michel; Stefan O Schoenberg; Dominik Nörenberg
Journal:  Cancers (Basel)       Date:  2020-07-02       Impact factor: 6.639

10.  Gleason Probability Maps: A Radiomics Tool for Mapping Prostate Cancer Likelihood in MRI Space.

Authors:  Sean D McGarry; John D Bukowy; Kenneth A Iczkowski; Jackson G Unteriner; Petar Duvnjak; Allison K Lowman; Kenneth Jacobsohn; Mark Hohenwalter; Michael O Griffin; Alex W Barrington; Halle E Foss; Tucker Keuter; Sarah L Hurrell; William A See; Marja T Nevalainen; Anjishnu Banerjee; Peter S LaViolette
Journal:  Tomography       Date:  2019-03
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  2 in total

1.  Prediction of Prostate Cancer Disease Aggressiveness Using Bi-Parametric Mri Radiomics.

Authors:  Ana Rodrigues; João Santinha; Bernardo Galvão; Celso Matos; Francisco M Couto; Nickolas Papanikolaou
Journal:  Cancers (Basel)       Date:  2021-12-01       Impact factor: 6.639

2.  A Novel Application of Unsupervised Machine Learning and Supervised Machine Learning-Derived Radiomics in Anterior Cruciate Ligament Rupture.

Authors:  De-Sheng Chen; Tong-Fu Wang; Jia-Wang Zhu; Bo Zhu; Zeng-Liang Wang; Jian-Gang Cao; Cai-Hong Feng; Jun-Wei Zhao
Journal:  Risk Manag Healthc Policy       Date:  2021-06-23
  2 in total

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