Publications by authors named "Linh My Hoang Thai"

Article Synopsis
  • This study focused on training a deep learning model to help doctors identify important areas in breast cancer patients that need treatment.
  • It used expert opinions from radiotherapy centers in Denmark to create high-quality data for training the model.
  • The results showed that the model's performance was very similar to what experienced doctors would achieve, which means it could be used safely in real medical situations.
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Background And Purpose: Proton therapy for breast cancer is usually given in free breathing (FB). With the use of deep inspiration breath-hold (DIBH) technique, the location of the heart is displaced inferiorly, away from the internal mammary nodes and, thus, the dose to the heart can potentially be reduced. The aim of this study was to explore the potential benefit of proton therapy in DIBH compared to FB for highly selected patients to reduce exposure of the heart and other organs at risk.

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Background: The Danish Breast Cancer Group (DBCG) Proton Trial randomizes breast cancer patients selected on high mean heart dose (MHD) or high lung dose (V20Gy/V17Gy) in the photon plan between photon and proton therapy. This study presents the proton plans and adaptation strategy for the first 43 breast cancer patients treated with protons in Denmark.

Material And Methods: Forty-four proton plans (one patient with bilateral cancer) were included; 2 local and 42 loco-regional including internal mammary nodes (IMN).

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