Dataset related to article "Multicentric evaluation of a machine learning model to streamline the radiotherapy patient specific quality assurance process"
Nicola LambriVíctor HernándezJordi SáezM. PelizzoliSara ParabicoliStefano TomatisDaniele LoiaconoMarta ScorsettiPietro Mancosu
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This record contains raw data related to article “Multicentric evaluation of a machine learning model to streamline the radiotherapy patient specific quality assurance process" Purpose: Patient-specific quality assurance (PSQA) is performed to ensure that modulated treatment plans can be delivered as intended, but constitutes a substantial workload that could slow down the radiotherapy process and delay the start of clinical treatments. In this study, we investigated a machine learning (ML) tree-based ensemble model to predict the gamma passing rate (GPR) for volumetric modulated arc therapy (VMAT) plans. Materials and Methods: 5622 VMAT plans from multiple treatment sites were selected from a database of Institution 1 and the ML model trained using 19 metrics. PSQA analyses were performed automatically using criteria 3%/1 mm (global normalization, absolute dose, 10% threshold) and 95% action limit. Model’s performance was evaluated on an out-of-sample test set of Institution 1 and on two independent sets of measurements collected at Institution 2 and Institution 3. Mean absolute error (MAE), as well as the model’s sensitivity and specificity, were computed. Results: The model obtained a MAE of 2.33%, 2.54% and 3.91% for the three Institutions, with a specificity of 0.90, 0.90 and 0.68, and a sensitivity of 0.61, 0.25, and 0.55, respectively. Small positive median values of the residuals (i.e., the difference between measurements and predictions) were observed for each Institution (0.95%, 1.66%, and 3.42%). Thus, the model’s predictions were, on average, close to the real values and provided a conservative estimation of the GPR. Conclusions: ML models can be integrated into clinical practice to streamline the radiotherapy workflow, but they should be center-specific or thoroughly verified within centers before clinical use.Roentgen
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Medical physicist
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As the use of HIFU in the clinic becomes more widespread there is an ever increasing need to standardise quality assurance protocols, an important step in facilitating the wider acceptance of HIFU as a therapeutic modality. This article reviews pertinent aspects of HIFU treatment delivery, encompassing the closely related aspects of quality assurance and calibration. Particular attention is given to the description and characterisation of relevant acoustic field parameters and the measurement of acoustic power. Where appropriate, recommendations are made.
High-intensity focused ultrasound
Modality (human–computer interaction)
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To improve the quality of radiotherapy and get brilliant results in cancer treatment, establishment of a quality system consisting of quality assurance and quality control is most important. The radiation prescription should be based on all available clinical information on Biology, natural history and imaging, and histology of the tumor. Treatment planning consists mainly of choice of the the best arrangement of a radiation treatment field (target volume) and localization of organs at risk to get the high precision method. Radiotherapy is an area where there is an urgent for more quality assurance, quality control and cooperative efforts at the national level.
Quality Control
Radiation Therapist
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We review the various components of quality assurance (QA), including the role of a QA committee, stressing its interdisciplinary nature relative to radiation oncologists, medical physicists, dosimetrists, and radiation therapy technologists. Current standard of QA are reviewed for treatment machines, dosimetry instrumentation, treatment planning, treatment planning computer systems, brachytherapy, and external beam therapy. The latter area includes discussions on the importance of a peer review new patient planning conference, chart checking and film review.
Radiation oncology
Medical physicist
External beam radiation
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Introduction: Positron emission tomography combined with computed tomography (PET‐CT) provides both functional and anatomical images of high quality noninvasively. Recently, increase in the use of PET‐CT for diagnosis of the cancer and the planning of radiation therapy accrues the demands for accurate evaluation of system performance and well designed programs of quality assurance. We analyzed the quality assurance practice in the PET‐CT laboratories and developed the practical guidelines of PET‐CT quality assurance. Methods: The survey questionnaire were send to 60 PET‐CT laboratories and the data of quality assurance practice were collected. We reviewed the surveyed data and the quality assurance systems of foreign counties and made the practical guidelines of PET‐CT quality assurance. Results: The developed practical guidelines of PET‐CT quality assurance consists of practical items of performance evaluation and protocols for quality assurance. For 30 PET‐CT laboratories, we are investigating the usefulness of the new guidelines. Conclusions: We developed the new practical guidelines of PET‐CT quality assurance. These guidelines could be used to guarantee the confidence of PET‐CT imaging as a quality assurance keeper.
QA/QC
PET-CT
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In every radiation therapy department, quality assurance procedures performed on treatment units are a necessary portion of the department's daily routine. Technologists, given the necessary information and instruction, can perform these procedures under the auspices of the medical physicist.
Medical physicist
Medical radiation
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