Patterns of practice for adaptive and real-time radiation therapy (POP-ART RT) part I: Intra-fraction breathing motion management

Anastasi, Gail; Bertholet, Jenny; Poulsen, Per Rugaard; Roggen, Toon; Garibaldi, Cristina; Tilly, Nina; Booth, Jeremy; Oelfke, Uwe; Heijmen, B.; Aznar, Marianne C.

doi:10.1016/j.radonc.2020.06.018

Cited by 43 publications

(59 citation statements)

References 48 publications

(72 reference statements)

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“…The web-based questionnaire, developed during the 2nd ESTRO physics workshop and further described in [30] and the supplementary materials , contained 16 questions covering ART. Data were collected between February and July 2019.…”

Section: Methodsmentioning

confidence: 99%

“…Similar subgroup analysis to that of part I [30] was performed based on type of institutions (academic, public, private), socio-economic status [31] , [32] (low, middle, high-income) and patient volume (<1000, 1000–2000, >2000 patients per year).…”

Section: Methodsmentioning

confidence: 99%

“…Similar to part I [30] , users were asked if they wished to increase their use of ART or modify their technique in the next two years and for which tumour site in priority (P24) and to rank barriers in order of importance (barriers not considered relevant were not ranked) (P25).…”

Section: Methodsmentioning

confidence: 99%

“…The present paper addresses the second part: ART for interfractional anatomical changes 1 using multiple plans per tumour and treatment course. Intrafractional anatomical changes caused by respiration can be mitigated by real-time respiratory motion management (RRMM) [29] , which is the topic of an accompanying paper [30] .…”

mentioning

confidence: 99%

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Patterns of practice for adaptive and real-time radiation therapy (POP-ART RT) part II: Offline and online plan adaption for interfractional changes

Bertholet

Anastasi

Noble

et al. 2020

Radiotherapy and Oncology

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Highlights The patterns of practice for adaptive radiotherapy were evaluated for 177 centres. Over half performed ad-hoc adaption but less than a third used specific protocols. CBCT was the main imaging modality in general but MR was used for daily replanning. 2/3 centres wished to implement ART; 40% of them had plans to do it within 2 years. The main barriers were human/material resources and technical limitations.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

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Patterns of practice for adaptive and real-time radiation therapy (POP-ART RT) part II: Offline and online plan adaption for interfractional changes

Bertholet

Anastasi

Noble

et al. 2020

Radiotherapy and Oncology

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“…The speed and effectiveness of software and lack of staff are currently seen as the main barriers. The treatment times for ART are generally more than 40 minutes, contouring, optimisation and treatment delivery, if gating used, contributing the majority of the time involved [27]. Therefore, any time saving in exporting / importing images or plan optimisation would be of benefit.…”

Section: Drivers and Barriersmentioning

confidence: 99%

International survey; current practice in On-line adaptive radiotherapy (ART) delivered using Magnetic Resonance Image (MRI) guidance

McNair

Wiseman

Joyce

et al. 2020

Technical Innovations & Patient Support in Radiation Oncolo

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Background and purpose: The uptake of new technologies has varied internationally and there have often been barriers to implementation. On-line adaptive radiotherapy (ART) promises to improve patient outcome. This survey focuses on the implementation phase of delivering ART and professional roles and responsibilities currently involved in the workflow and changes which may be expected in the future. Materials and methods: A 38 question survey included aspects on current practice; professional responsibilities; benefits and barriers; and decision making and responsibilities. For the purposes of the questionnaire and paper, ART was considered where tumour and /or organs at risk were contoured and replanning was performed on-line. The questionnaire was electronically distributed via radiotherapy networks. Results: Nineteen international responses were received.

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Predicting machine's performance record using the stacked long short‐term memory (LSTM) neural networks

Liu

Wei

et al. 2022

J Applied Clin Med Phys

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Purpose The record of daily quality control (QC) items shows machine performance patterns and potentially provides warning messages for preventive actions. This study developed a neural network model that could predict the record and trend of data variations quantitively. Methods and materials The record of 24 QC items for a radiotherapy machine was investigated in our institute. The QC records were collected daily for 3 years. The stacked long short‐term memory (LSTM) model was used to develop the neural network model. A total of 867 records were collected to predict the record for the next 5 days. To compare the stacked LSTM, the autoregressive integrated moving average model (ARIMA) was developed on the same data set. The accuracy of the model was quantified by the mean absolute error (MAE), root‐mean‐square error (RMSE), and coefficient of determination (R2). To validate the robustness of the model, the record of four QC items was collected for another radiotherapy machine, which was input into the stacked LSTM model without changing any hyperparameters and ARIMA model. Results The mean MAE, RMSE, and0.28emR2${\rm{\;}}{R^2}$ with 24 QC items were 0.013, 0.020, and 0.853 in LSTM, while 0.021, 0.030, and 0.618 in ARIMA, respectively. The results showed that the stacked LSTM outperforms the ARIMA. Moreover, the mean MAE, RMSE, and0.28emR2${\rm{\;}}{R^2}$ with four QC items were 0.102, 0.151, and 0.770 in LSTM, while 0.162, 0.375, and 0.550 in ARIMA, respectively. Conclusions In this study, the stacked LSTM model can accurately predict the record and trend of QC items. Moreover, the stacked LSTM model is robust when applied to another radiotherapy machine. Predicting future performance record will foresee possible machine failure, allowing early machine maintenance and reducing unscheduled machine downtime.

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Patterns of practice for adaptive and real-time radiation therapy (POP-ART RT) part I: Intra-fraction breathing motion management

Cited by 43 publications

References 48 publications

Patterns of practice for adaptive and real-time radiation therapy (POP-ART RT) part II: Offline and online plan adaption for interfractional changes

Patterns of practice for adaptive and real-time radiation therapy (POP-ART RT) part II: Offline and online plan adaption for interfractional changes

International survey; current practice in On-line adaptive radiotherapy (ART) delivered using Magnetic Resonance Image (MRI) guidance

Predicting machine's performance record using the stacked long short‐term memory (LSTM) neural networks

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