Evidence map›Paper›PMID 38265521›Full record

ArticlePhysical and engineering sciences in medicine2024

Evaluation of robustness of optimization methods in breast intensity-modulated radiation therapy using TomoTherapy.

Yuya Oki, Hiroaki Akasaka, Kazuyuki Uehara, Kazufusa Mizonobe, Masanobu Sawada, Junya Nagata, Aya Harada, Hiroshi Mayahara

Abstract readEvaluation Study
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Article in Physical and engineering sciences in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Yuya OkiDivision of Radiation Oncology, Kobe Minimally Invasive Cancer Center, 8-5-1 Minatojima-nakamachi, Chuo-ku, Kobe, Hyogo, 650-0046, Japan. yuya.oki1002@gmail.com.ORCID http://orcid.org/0000-0002-9145-255X
Hiroaki AkasakaDepartment of Chemical Engineering, The University of Melbourne, Parkville, Victoria, Australia.ORCID http://orcid.org/0000-0003-1017-5229
Kazuyuki UeharaDivision of Radiation Oncology, Kobe Minimally Invasive Cancer Center, 8-5-1 Minatojima-nakamachi, Chuo-ku, Kobe, Hyogo, 650-0046, Japan.
Kazufusa MizonobeDivision of Radiation Oncology, Kobe Minimally Invasive Cancer Center, 8-5-1 Minatojima-nakamachi, Chuo-ku, Kobe, Hyogo, 650-0046, Japan.ORCID http://orcid.org/0000-0003-0302-553X
Masanobu SawadaDivision of Radiological Technology, Kobe Minimally Invasive Cancer Center, 8-5-1 Minatojima-nakamachi, Chuo-ku, Kobe, Hyogo, 650-0046, Japan.
Junya NagataDivision of Radiological Technology, Kobe Minimally Invasive Cancer Center, 8-5-1 Minatojima-nakamachi, Chuo-ku, Kobe, Hyogo, 650-0046, Japan.ORCID http://orcid.org/0000-0001-8735-1839
Aya HaradaDivision of Radiation Oncology, Kobe Minimally Invasive Cancer Center, 8-5-1 Minatojima-nakamachi, Chuo-ku, Kobe, Hyogo, 650-0046, Japan.
Hiroshi MayaharaDivision of Radiation Oncology, Kobe Minimally Invasive Cancer Center, 8-5-1 Minatojima-nakamachi, Chuo-ku, Kobe, Hyogo, 650-0046, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intensity-modulated radiation therapy (IMRT) has become a popular choice for breast cancer treatment. We aimed to evaluate and compare the robustness of each optimization method used for breast IMRT using TomoTherapy. A retrospective analysis was performed on 10 patients with left breast cancer. For each optimization method (clipping, virtual bolus, and skin flash), a corresponding 50 Gy/25 fr plan was created in the helical and direct TomoTherapy modes. The dose-volume histogram parameters were compared after shifting the patients anteriorly and posteriorly. In the helical mode, when the patient was not shifted, the median D1cc (minimum dose delivered to 1 cc of the organ volume) of the breast skin for the clipping and virtual bolus plans was 52.2 (interquartile range: 51.9-52.6) and 50.4 (50.1-50.8) Gy, respectively. After an anterior shift, D1cc of the breast skin for the clipping and virtual bolus plans was 56.0 (55.6-56.8) and 50.9 (50.5-51.3) Gy, respectively. When the direct mode was used without shifting the patient, D1cc of the breast skin for the clipping, virtual bolus, and skin flash plans was 52.6 (51.9-53.1), 53.4 (52.6-53.9), and 52.3 (51.7-53.0) Gy, respectively. After shifting anteriorly, D1cc of the breast skin for the clipping, virtual bolus, and skin flash plans was 55.6 (54.1-56.4), 52.4 (52.0-53.0), and 53.6 (52.6-54.6) Gy, respectively. The clipping method is not sufficient for breast IMRT. The virtual bolus and skin flash methods were more robust optimization methods according to our analyses.

Indexed as

Breast NeoplasmsRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedBreastDose-Response Relationship, RadiationFemaleHumansMiddle AgedRadiotherapy DosageRetrospective StudiesBreast cancerIntensity-modulated radiation therapyRobust planningSkin flashTomoTherapyVirtual bolus

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.