Evaluation of a Deep Learning-based Algorithm for Post-Radiotherapy Prostate Cancer Local Recurrence Detection Using Biparametric MRI-Reference-Cited by-同舟云学术

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Evaluation of a Deep Learning-based Algorithm for Post-Radiotherapy Prostate Cancer Local Recurrence Detection Using Biparametric MRI

Published:2023-11 Issue: Volume:168 Page:111095
ISSN:0720-048X
Container-title:European Journal of Radiology
language:en
Short-container-title:European Journal of Radiology

Author:

Yilmaz Enis C.,Harmon Stephanie A.,Belue Mason J.,Merriman Katie M.,Phelps Tim E.,Lin Yue,Garcia Charisse,Hazen Lindsey,Patel Krishnan R.,Merino Maria J.,Wood Bradford J.,Choyke Peter L.,Pinto Peter A.,Citrin Deborah E.,Turkbey Baris

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference37 articles.

1. Cancer statistics, 2022;Siegel;CA Cancer J. Clin.,2022

2. The diagnosis and treatment of prostate cancer: a review;Litwin;J. Am. Med. Assoc.,2017

3. Dose escalated radiotherapy alone or in combination with short-term androgen suppression for intermediate risk prostate cancer: outcomes from the NRG oncology/RTOG 0815 randomized trial;Krauss;Int. J. Radiat. Oncol. Biol. Phys.,2021

4. Focal boost to the intraprostatic tumor in external beam radiotherapy for patients with localized prostate cancer: results from the FLAME randomized phase III trial;Kerkmeijer;JCO,2021

5. Duration of androgen deprivation therapy in high-risk prostate cancer: a randomized phase III trial;Nabid;Eur. Urol.,2018

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