JCO Global Oncology (Sep 2023)
Feasibility and Clinical Acceptability of Automation-Assisted 3D Conformal Radiotherapy Planning for Patients With Cervical Cancer in a Resource-Constrained Setting
- Sikudhani Muya,
- Jerry Ndumbalo,
- Sarah Kutika Nyagabona,
- Shaid Yusuf,
- Dong Joo Rhee,
- Beatrice Paul Mushi,
- Benjamin Li,
- Li Zhang,
- Surbhi Grover,
- Mary Feng,
- I-Chow Hsu,
- Elia Mmbaga,
- Katherine Van Loon,
- Laurence Court,
- Melody Xu
Affiliations
- Sikudhani Muya
- Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
- Jerry Ndumbalo
- Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
- Sarah Kutika Nyagabona
- Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
- Shaid Yusuf
- Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
- Dong Joo Rhee
- MD Anderson Cancer Center, Houston, TX
- Beatrice Paul Mushi
- Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
- Benjamin Li
- University of California, San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA
- Li Zhang
- University of California, San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA
- Surbhi Grover
- University of Pennsylvania, Philadelphia, PA
- Mary Feng
- University of California, San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA
- I-Chow Hsu
- University of California, San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA
- Elia Mmbaga
- Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
- Katherine Van Loon
- University of California, San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA
- Laurence Court
- MD Anderson Cancer Center, Houston, TX
- Melody Xu
- University of California, San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA
- DOI
- https://doi.org/10.1200/GO.23.00050
- Journal volume & issue
-
no. 9
Abstract
Automation may enable high-quality cervical cancer radiation on shorter treatment planning timelines.
