Japanese structure survey of radiation oncology in 2013

Numasaki, Hodaka; Teshima, Teruki; Okuda, Yasuo; Ogawa, Kazuhiko

doi:10.1093/jrr/rraa047

Cited by 10 publications

(3 citation statements)

References 12 publications

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“…Additionally, 36.1% of all radiotherapy institutions had <1.0 FTE ROs. Compared with the findings of a similar survey conducted data in 2007 [ 14–17 ] and 2013 [ 24 ], the percentage of institutions that have > = 1.0 FTE ROs had improved a little (2007: 43.8%, 2013: 61.1%, 2015: 63.9%), but was not yet sufficient.…”

Section: Discussioncontrasting

confidence: 59%

Japanese structure survey of radiation oncology in 2015

Numasaki

Nakada

Okuda

et al. 2022

Journal of Radiation Research

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This article describes the ongoing structure of radiation oncology in Japan in terms of equipment, personnel, patient load and geographic distribution to identify and overcome any existing limitations. From May 2016 to August 2018, the Japanese Society for Radiation Oncology conducted a questionnaire based on the Japanese national structure survey of radiation oncology in 2015. Data were analyzed based on the institutional stratification by the annual number of new patients treated with radiotherapy per institution. The estimated annual numbers of new and total (new plus repeat) patients treated with radiation were 225 000 and 271 000, respectively. Additionally, the estimated cancer incidence was 891 445 cases with approximately 25.2% of all newly diagnosed patients being treated with radiation. The types and numbers of treatment devices actually used included linear accelerator (linac; n = 936), Gamma Knife (n = 43), 60Co remote afterloading system (RALS; n = 21), and 192Ir RALS (n = 129). The linac system used dual-energy functions in 754 units, 3D conformal radiotherapy functions in 867, and intensity-modulated radiotherapy (IMRT) functions in 628. There were 899 Japan Radiological Society/Japanese Society for Radiation Oncology-certified radiation oncologists (RO), 1213.9 full-time equivalent (FTE) ROs, 2394.2 FTE radiotherapy technologists (RTT), 295.7 FTE medical physicists, 210.2 FTE radiotherapy quality managers, and 906.1 FTE nurses. The frequency of IMRT use significantly increased during this time. In conclusion, the Japanese structure of radiation oncology has clearly improved in terms of equipment and utility although there was a shortage of personnel in 2015.

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Section: Discussioncontrasting

confidence: 59%

Japanese structure survey of radiation oncology in 2015

Numasaki

Nakada

Okuda

et al. 2022

Journal of Radiation Research

Self Cite

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“…In Japan, the small-scale institution ratio for institutions with less than 200 new patients annually was nearly half of the total number of institutions according to a structural survey reported by Numasaki et. al [20]. The ratio is considerably greater than those in Australia, Korea, and the United States [21][22][23].…”

Section: Discussionmentioning

confidence: 85%

Standardization of knowledge-based volumetric modulated arc therapy planning with a multi-institution model (broad model) to improve prostate cancer treatment quality

et al. 2023

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Purpose: To evaluate whether knowledge-based volumetric modulated arc therapy plans with from a multiinstitution model (broad model) are clinically useful and effective as a standardization method.Methods: A knowledge-based planning (KBP) model was trained with 561 prostate VMAT plans from ve institutions with different contouring and planning policies. Five clinical plans at each institution were reoptimized with the broad and single institution model, and the dosimetric parameters and relationship between D mean and the overlapping volume (rectum or bladder and target) were compared.Results: The differences between the broad and single institution models in the dosimetric parameters for V 50 , V 80 ,

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Section: Discussionmentioning

confidence: 85%

Standardization of knowledge-based volumetric modulated arc therapy planning with a multi-institution model (broad model) to improve prostate cancer treatment quality

Ueda

Fukunaga

Kamima

et al. 2022

Preprint

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Purpose: To evaluate whether knowledge-based volumetric modulated arc therapy plans with from a multi-institution model (broad model) are clinically useful and effective as a standardization method. Methods: A knowledge-based planning (KBP) model was trained with 561 prostate VMAT plans from five institutions with different contouring and planning policies. Five clinical plans at each institution were reoptimized with the broad and single institution model, and the dosimetric parameters and relationship between Dmean and the overlapping volume (rectum or bladder and target) were compared. Results: The differences between the broad and single institution models in the dosimetric parameters for V50, V80, V90, and Dmean were: rectum; 9.5% ± 10.3%, 3.3% ± 1.5%, 1.7% ± 1.6%, and 3.6% ± 3.6%, (p < 0.001), bladder; 8.7% ± 12.8%, 1.5% ± 2.6%, 0.7% ± 2.4%, and 2.7% ± 4.6% (p < 0.02), respectively. The differences between the broad model and clinical plans were: rectum; 2.4% ± 4.6%, 1.7% ± 1.7%, 0.7% ± 2.4%, and 1.5% ± 2.0%, (p = 0.004, 0.015, 0.112, and 0.009) bladder; 2.9% ± 5.8%, 1.6% ± 1.9%, 0.9% ± 1.7%, and 1.1% ± 4.8%, (p < 0.018), respectively. Strong correlations were observed (p < 0.001) in the relationship between Dmean and the rectal and bladder volume overlapping with the target in the broad model (R = 0.815 and 0.891, respectively). The broad model had the smallest R2 of the three plans. Conclusions: KBP with the broad model is clinically effective and applicable as a standardization method at multiple institutions.

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Japanese structure survey of radiation oncology in 2013

Cited by 10 publications

References 12 publications

Japanese structure survey of radiation oncology in 2015

Japanese structure survey of radiation oncology in 2015

Standardization of knowledge-based volumetric modulated arc therapy planning with a multi-institution model (broad model) to improve prostate cancer treatment quality

Standardization of knowledge-based volumetric modulated arc therapy planning with a multi-institution model (broad model) to improve prostate cancer treatment quality

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