Radiomics analysis of 18F-Choline PET/CT in the prediction of disease outcome in high-risk prostate cancer: an explorative study on machine learning feature classification in 94 patients-Reference-Cited by-同舟云学术

Radiomics analysis of 18F-Choline PET/CT in the prediction of disease outcome in high-risk prostate cancer: an explorative study on machine learning feature classification in 94 patients

Published:2021-01-14 Issue:7 Volume:31 Page:4595-4605
ISSN:0938-7994
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Alongi Pierpaolo^ORCID,Stefano Alessandro,Comelli Albert,Laudicella Riccardo,Scalisi Salvatore,Arnone Giuseppe,Barone Stefano,Spada Massimiliano,Purpura Pierpaolo,Bartolotta Tommaso Vincenzo,Midiri Massimo,Lagalla Roberto,Russo Giorgio

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-020-07617-8.pdf

Reference36 articles.

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2. Li P, Wang X, Xu C et al (2020) 18F-FDG PET/CT radiomic predictors of pathologic complete response (pCR) to neoadjuvant chemotherapy in breast cancer patients. Eur J Nucl Med Mol Imaging 47:1116–1126. https://doi.org/10.1007/s00259-020-04684-3

3. Gillies RJ, Kinahan PE, Hricak H (2016) Radiomics: images are more than pictures, they are data. Radiology 278:563–577. https://doi.org/10.1148/radiol.2015151169

4. Laufer M, Pound CR, Carducci MA, Eisenberger MA (2000) Management of patients with rising prostate-specific antigen after radical prostatectomy. Urology 55:309–315

5. Moul JW (2000) Prostate specific antigen only progression of prostate cancer. J Urol 163:1632–1642

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