Comparing methods to improve cone-beam computed tomography for dose calculations in adaptive proton therapy DOI Creative Commons

Casper Dueholm Vestergaard,

N. Vatterodt,

U.V. Elstrøm

et al.

Physics and Imaging in Radiation Oncology, Journal Year: 2025, Volume and Issue: 34, P. 100784 - 100784

Published: April 1, 2025

Proton therapy requires dose monitoring, often performed based on repeated computed tomography (reCT) scans. However, reCT scans may not accurately reflect the internal anatomy and patient positioning during treatment. In-room cone-beam CT (CBCT) offers a potential alternative, but its low image quality limits proton calculation accuracy. This study therefore evaluated different methods for quality-improvement of CBCTs (synthetic CTs; sCTs) use in adaptive head-and-neck cancer patients. Thirty-five from twenty-four patients were used to assess four sCT generation methods: an intensity-correction method, two deformable registration methods, deep learning-based method. The sCTs against same-day reCTs number accuracy, range accuracy through single-spot plans, recalculation clinical plans via dose-volume-histogram (DVH) parameters. All generated with improved while preserving relative CBCT. differences absolute median between small generally less than difference reCT, which had 1.0-1.1 mm. Similarly, DVH parameters methods. While outliers identified all these consistent could be attributed anatomical and/or positional discrepancies CBCT reCT. enabled accurate preserved anatomy, making them value therapy.

Language: Английский

Comparing methods to improve cone-beam computed tomography for dose calculations in adaptive proton therapy DOI Creative Commons

Casper Dueholm Vestergaard,

N. Vatterodt,

U.V. Elstrøm

et al.

Physics and Imaging in Radiation Oncology, Journal Year: 2025, Volume and Issue: 34, P. 100784 - 100784

Published: April 1, 2025

Proton therapy requires dose monitoring, often performed based on repeated computed tomography (reCT) scans. However, reCT scans may not accurately reflect the internal anatomy and patient positioning during treatment. In-room cone-beam CT (CBCT) offers a potential alternative, but its low image quality limits proton calculation accuracy. This study therefore evaluated different methods for quality-improvement of CBCTs (synthetic CTs; sCTs) use in adaptive head-and-neck cancer patients. Thirty-five from twenty-four patients were used to assess four sCT generation methods: an intensity-correction method, two deformable registration methods, deep learning-based method. The sCTs against same-day reCTs number accuracy, range accuracy through single-spot plans, recalculation clinical plans via dose-volume-histogram (DVH) parameters. All generated with improved while preserving relative CBCT. differences absolute median between small generally less than difference reCT, which had 1.0-1.1 mm. Similarly, DVH parameters methods. While outliers identified all these consistent could be attributed anatomical and/or positional discrepancies CBCT reCT. enabled accurate preserved anatomy, making them value therapy.

Language: Английский

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