Estimation of heart dose in left breast cancer radiotherapy: Assessment of vDIBH feasibility using the supervised machine learning algorithm

The present work facilitates precise HMD prediction in left breast cancer radiation therapy even before starting the treatment planning process. Additionally, this program offers suggestions in terms of modifications in treatment settings for even better results of vDIBH techniques if not matches with the anticipated results.

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Publication Details

Journal
Journal of Applied Clinical Medical Physics
Published
2024-12-06
DOI
https://doi.org/10.1002/acm2.14595
Citations
2
Primary Topic
Advanced Radiotherapy Techniques
Type
article
Field-Weighted Citation Impact
1.22
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article

Estimation of heart dose in left breast cancer radiotherapy: Assessment of vDIBH feasibility using the supervised machine learning algorithm

Rajeev Gupta, Shriram Rajurkar, Teerthraj Verma
2 citations
Journal of Applied Clinical Medical Physics
Advanced Radiotherapy Techniques
1.22
article

Estimation of heart dose in left breast cancer radiotherapy: Assessment of vDIBH feasibility using the supervised machine learning algorithm

Rajeev Gupta, Shriram Rajurkar, Teerthraj Verma
article en
2 citations

Abstract

The present work facilitates precise HMD prediction in left breast cancer radiation therapy even before starting the treatment planning process. Additionally, this program offers suggestions in terms of modifications in treatment settings for even better results of vDIBH techniques if not matches with the anticipated results.

Journal of Applied Clinical Medical PhysicsVol. 26(2)
King George's Medical University (IN)
Good health and well-being
Openalex Percentile: Top 19%
Advanced Radiotherapy Techniques
1.22
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