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A new workflow of the on-line 1.5-T MR-guided adaptive radiation therapy.
Uno, Takashi; Tsuneda, Masato; Abe, Kota; Fujita, Yukio; Harada, Rintaro; Saito, Makoto; Kanazawa, Aki; Kodate, Asuka; Abe, Yukinao; Ikeda, Yohei; Nemoto, Miho Watanabe; Yokota, Hajime.
Afiliación
  • Uno T; Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Inohana 1-8-1, Chuou-ku, Chiba City, Chiba, 260-8670, Japan. unotakas@faculty.chiba-u.jp.
  • Tsuneda M; Department of Radiation Oncology, MR Linac ART Division, Graduate School of Medicine, Chiba University, Inohana 1-8-1, Chuou-ku, Chiba City, Chiba, 260-8670, Japan.
  • Abe K; Department of Radiation Oncology, MR Linac ART Division, Graduate School of Medicine, Chiba University, Inohana 1-8-1, Chuou-ku, Chiba City, Chiba, 260-8670, Japan.
  • Fujita Y; Department of Radiation Oncology, MR Linac ART Division, Graduate School of Medicine, Chiba University, Inohana 1-8-1, Chuou-ku, Chiba City, Chiba, 260-8670, Japan.
  • Harada R; Department of Radiology, Chiba University Hospital, Inohana 1-8-1, Chuou-ku, Chiba City, Chiba, 260-8670, Japan.
  • Saito M; Department of Radiology, Chiba University Hospital, Inohana 1-8-1, Chuou-ku, Chiba City, Chiba, 260-8670, Japan.
  • Kanazawa A; Department of Radiology, Chiba University Hospital, Inohana 1-8-1, Chuou-ku, Chiba City, Chiba, 260-8670, Japan.
  • Kodate A; Department of Radiology, Chiba University Hospital, Inohana 1-8-1, Chuou-ku, Chiba City, Chiba, 260-8670, Japan.
  • Abe Y; Department of Radiology, Chiba University Hospital, Inohana 1-8-1, Chuou-ku, Chiba City, Chiba, 260-8670, Japan.
  • Ikeda Y; Department of Radiology, Chiba University Hospital, Inohana 1-8-1, Chuou-ku, Chiba City, Chiba, 260-8670, Japan.
  • Nemoto MW; Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Inohana 1-8-1, Chuou-ku, Chiba City, Chiba, 260-8670, Japan.
  • Yokota H; Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Inohana 1-8-1, Chuou-ku, Chiba City, Chiba, 260-8670, Japan.
Jpn J Radiol ; 41(11): 1316-1322, 2023 Nov.
Article en En | MEDLINE | ID: mdl-37354344
ABSTRACT

PURPOSE:

The aim of this study was to develop a new workflow for 1.5-T magnetic resonance (MR)-guided on-line adaptive radiation therapy (MRgART) and assess its feasibility in achieving dose constraints. MATERIALS AND

METHODS:

We retrospectively evaluated the clinical data of patients who underwent on-line adaptive radiation therapy using a 1.5-T MR linear accelerator (MR-Linac). The workflow in MRgART was established by reviewing the disease site, number of fractions, and re-planning procedures. Five cases of prostate cancer were selected to evaluate the feasibility of the new workflow with respect to achieving dose constraints.

RESULTS:

Between December 2021 and September 2022, 50 consecutive patients underwent MRgART using a 1.5-T MR-Linac. Of these, 20 had prostate cancer, 10 had hepatocellular carcinoma, 6 had pancreatic cancer, 5 had lymph node oligo-metastasis, 3 had renal cancer, 3 had bone metastasis, 2 had liver metastasis from colon cancer, and 1 had a mediastinal tumor. Among a total of 247 fractions, 235 (95%) were adapt-to-shape (ATS)-based re-planning. The median ATS re-planning time in all 50 cases was 17 min. In the feasibility study, all dose constraint sets were met in all 5 patients by ATS re-planning. Conversely, a total of 14 dose constraints in 5 patients could not be achieved by virtual plan without using adaptive re-planning. These dose constraints included the minimum dose received by the highest irradiated volume of 1 cc in the planning target volume and the maximum dose of the rectal/bladder wall.

CONCLUSION:

A new workflow of 1.5-T MRgART was established and found to be feasible. Our evaluation of the dose constraint achievement demonstrated the effectiveness of the workflow.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Planificación de la Radioterapia Asistida por Computador Límite: Humans / Male Idioma: En Revista: Jpn J Radiol Asunto de la revista: DIAGNOSTICO POR IMAGEM / RADIOLOGIA / RADIOTERAPIA Año: 2023 Tipo del documento: Article País de afiliación: Japón

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Planificación de la Radioterapia Asistida por Computador Límite: Humans / Male Idioma: En Revista: Jpn J Radiol Asunto de la revista: DIAGNOSTICO POR IMAGEM / RADIOLOGIA / RADIOTERAPIA Año: 2023 Tipo del documento: Article País de afiliación: Japón