CORRELATION OF TREATMENT PLANNING PARAMETERS IN POST-MASTECTOMY BREAST CANCER FOR PERSONALIZED THERAPY
Main Article Content
Keywords
Breast cancer, dosimetry, IMRT, Conformity index, Homogeneity index
Abstract
Radiation therapy for breast cancer is rapidly evolving toward more personalized and precise treatment plans. This shift is driven by the need for better tumor targeting while minimizing exposure to surrounding organs at risk (OARs). Dosimetric indices such as the Conformity Index (CI), Homogeneity Index (HI), and Mismatch Index (MI) are essential in assessing treatment plans for tumor coverage. Accurate delivery also takes into account patient-specific parameters and tumor volume. This study aims to examine the correlation between these indices and OAR parameters in personalized radiation therapy. A cohort of 30 female breast cancer patients, divided equally between left- and right-sided tumors, underwent hybrid intensity-modulated radiation therapy (IMRT) and 3D conformal radiotherapy (3DCRT) planning. All patients had previously undergone modified radical mastectomy (MRM) and were treated with a total dose of 40 Gy in 15 fractions using 6-15 MV photon energy. The treatment planning was carried out on a Varian system, with target volumes and OARs contoured according to RTOG guidelines. Key OARs included the heart, left anterior descending artery (LAD), ipsilateral and contralateral lungs, spinal cord, and contralateral breast. Students t distribution was employed to evaluate difference two groups. A moderate to strong correlation was found between the dosimetric indices and ipsilateral lung parameters in both treatment arms. For left-sided breast cancer, a strong correlation between heart-related dosimetric parameters and treatment delivery was observed. Mismatch Index presented moderate to strong correlation for both techniques, particularly in left sided breast patients. The study demonstrates a significant correlation between dosimetric indices and patient-specific OAR parameters, reinforcing the role of personalized therapy in planning and optimizing radiation delivery while ensuring protection of normal tissues.
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Siddharth Arora
Assistant Professor, Radiation Oncology, Rohilkhand Medical College and Hospital, Bareilly, Uttar Pradesh, India,
Kriti Grover
Assistant Professor, General Pathology, Rohilkhand Medical College and Hospital, Bareilly, Uttar Pradesh, India,
Sandeep Ramawat
Assistant Professor, Department of Medical Oncology, Rohilkhand Medical College and Hospital, Bareilly, Uttar Pradesh, India
Prarabdh Singh
Assistant Professor, Radiation Oncology, Rohilkhand Medical College and Hospital, Bareilly, Uttar Pradesh, India,
Nipa patel
Post-graduate, Radiation Oncology, Rohilkhand Medical College and Hospital, Bareilly, Uttar Pradesh, India,
Nitesh Mohan
6Professor, Department of pathology, Rohilkhand Medical College and Hospital, Bareilly, Uttar Pradesh, India,