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• W3138365065 abstract "Abstract A synthetic computed tomography (sCT) is required for daily plan optimization on an MRI-linac. Yet, only limited information is available on the accuracy of dose calculations on sCT for breast radiotherapy. This work aimed to (1) evaluate dosimetric accuracy of treatment plans for single-fraction neoadjuvant partial breast irradiation (PBI) on a 1.5 T MRI-linac calculated on a) bulk-density sCT mimicking the current MRI-linac workflow and b) deep learning-generated sCT, and (2) investigate the number of bulk-density levels required. For ten breast cancer patients we created three bulk-density sCTs of increasing complexity from the planning-CT, using bulk-density for: (1) body, lungs, and GTV (sCT BD1 ); (2) volumes for sCT BD1 plus chest wall and ipsilateral breast (sCT BD2 ); (3) volumes for sCT BD2 plus ribs (sCT BD3 ); and a deep learning-generated sCT (sCT DL ) from a 1.5 T MRI in supine position. Single-fraction neoadjuvant PBI treatment plans for a 1.5 T MRI-linac were optimized on each sCT and recalculated on the planning-CT. Image evaluation was performed by assessing mean absolute error (MAE) and mean error (ME) in Hounsfield Units (HU) between the sCTs and the planning-CT. Dosimetric evaluation was performed by assessing dose differences, gamma pass rates, and dose-volume histogram (DVH) differences. The following results were obtained (median across patients for sCT BD1 /sCT BD2 /sCT BD3 /sCT DL respectively): MAE inside the body contour was 106/104/104/75 HU and ME was 8/9/6/28 HU, mean dose difference in the PTV GTV was 0.15/0.00/0.00/−0.07 Gy, median gamma pass rate (2%/2 mm, 10% dose threshold) was 98.9/98.9/98.7/99.4%, and differences in DVH parameters were well below 2% for all structures except for the skin in the sCT DL . Accurate dose calculations for single-fraction neoadjuvant PBI on an MRI-linac could be performed on both bulk-density and deep learning sCT, facilitating further implementation of MRI-guided radiotherapy for breast cancer. Balancing simplicity and accuracy, sCT BD2 showed the optimal number of bulk-density levels for a bulk-density approach." @default.
• W3138365065 created "2021-03-29" @default.
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• W3138365065 date "2021-04-16" @default.
• W3138365065 modified "2023-10-05" @default.
• W3138365065 title "Synthetic CT for single-fraction neoadjuvant partial breast irradiation on an MRI-linac" @default.
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• W3138365065 doi "https://doi.org/10.1088/1361-6560/abf1ba" @default.
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• W3138365065 hasPublicationYear "2021" @default.
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