Knowledge-based dose prediction models to inform gynecologic brachytherapy needle supplementation for locally advanced cervical cancer-Reference-Cited by-同舟云学术

Knowledge-based dose prediction models to inform gynecologic brachytherapy needle supplementation for locally advanced cervical cancer

Published:2021-11 Issue:6 Volume:20 Page:1187-1199
ISSN:1538-4721
Container-title:Brachytherapy
language:en
Short-container-title:Brachytherapy

Author:

Kallis Karoline,Mayadev Jyoti,Kisling Kelly,Brown Derek,Scanderbeg Daniel,Ray Xenia,Cortes Katherina,Simon Aaron^ORCID,Yashar Catheryn M.,Einck John P.,Mell Loren K.,Moore Kevin L.,Meyers Sandra M.^ORCID

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Oncology

Reference32 articles.

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3. Viswanathan AN, Thomadsen B, American brachytherapy society cervical cancer recommendations committee, et al. American brachytherapy society consensus guidelines for locally advanced carcinoma of the cervix. part I: General principles. Brachytherapy 2012; 11: 33–46.

4. The addition of interstitial needles to intracavitary applicators in the treatment of locally advanced cervical cancer: Why is this important and how to implement in low- and middle-income countries?;Lombe;Brachytherapy,2020

5. Combined intracavitary and interstitial brachytherapy of cervical cancer using the novel hybrid applicator Venezia: Clinical feasibility and initial results;Walter;Brachytherapy,2018

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2. Improving plan quality in cervical brachytherapy using a simple knowledge-based prediction tool for OAR dose (D2cm3);Brachytherapy;2023-09

3. Automated treatment planning framework for brachytherapy of cervical cancer using 3D dose predictions;Physics in Medicine & Biology;2023-04-05

4. Brachytherapy outcome modeling in cervical cancer patients: A predictive machine learning study on patient-specific clinical, physical and dosimetric parameters;Brachytherapy;2022-11

5. Knowledge-based three-dimensional dose prediction for tandem-and-ovoid brachytherapy;Brachytherapy;2022-07