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A Generalized Model Of Cardiac Surface Motion For Evaluating Left Anterior Descending Coronary Artery Dose In Left Breast Cancer Radiotherapy.

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A Generalized Model Of Cardiac Surface Motion For Evaluating Left Anterior Descending Coronary Artery Dose In Left Breast Cancer Radiotherapy.

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A generalized model of cardiac surface motion for evaluating left anterior descending coronary artery dose in left

Yongjin Deng¹, Minmin Qiu¹, Yangchan Li¹

¹The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong Province, PR China.

Medical Physics

|June 26, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

A new cardiac surface motion model accurately assesses radiation dose to the left anterior descending (LAD) artery in breast cancer patients. This model improves upon conventional methods by accounting for LAD motion, crucial for reducing cardiac morbidity.

Keywords:

cardiac surface coronary artery left anterior descending coronary artery point cloud statistical shape modeling

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Area of Science:

Medical imaging and radiation oncology.
Cardiovascular and thoracic surgery.

Background:

Radiation damage to the left anterior descending (LAD) coronary artery is a significant risk factor for late-stage cardiac morbidity in breast cancer radiotherapy.
Accurate depiction of LAD motion and precise dose assessment are critical for mitigating this risk.

Purpose of the Study:

To develop a generalized cardiac surface motion model for accurate LAD dose assessment in left breast cancer radiotherapy.

Main Methods:

Utilized cine MRI data from 25 patients, divided into training and testing sets, with an additional five external cases for validation.
Employed statistical shape modeling (SSM) to map motion from average intensity projection images (AIP) surface point clouds to individual cine phases.
Assessed model accuracy using Root Mean Square Error (RMSE) and Euclidean Distance (ED), and applied it for LAD dose assessment in 10 left breast cancer radiotherapy cases.

Main Results:

The generalized model demonstrated high accuracy, with low RMSE and ED values in testing and external validation sets.
The volume of the LAD characterizing motion range (WPLAD) was significantly larger than that from superimposed images (SPLAD) (p < 0.05).
Dose metrics like Dmax and V20 for WPLAD were significantly different from SPLAD (p < 0.05), indicating conventional methods may underestimate motion impact.

Conclusions:

The developed generalized cardiac surface motion model provides accurate LAD dose assessment for left breast cancer radiotherapy.
This model highlights the importance of incorporating cardiac motion into dose calculations to improve patient safety and treatment outcomes.