Objective The purpose was to evaluate a biomarker score consisting of MUC5B rs35705950 promoter variant, plasma matrix metalloproteinase‐7 (MMP‐7), and serum anti–malondialdehyde‐acetaldehyde (anti‐MAA) antibody for rheumatoid arthritis (RA)–associated interstitial lung disease (ILD) risk stratification.
Kelsey Coziahr +16 more
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Three-dimensional Patient-specific Quality Assurance Using Beam Delivery Log Data for Pencil Beam Scanning Carbon-ion Radiotherapy. [PDF]
Takashina M +6 more
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Impact of Reference Selection on Gamma Analysis in Patient-Specific Quality Assurance for Monte Carlo-Based Treatment Planning Systems. [PDF]
M P AK, M UM.
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Applications of artificial intelligence for machine- and patient-specific quality assurance in radiation therapy: current status and future directions. [PDF]
Ono T +5 more
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A comparison of three-film analysis software for stereotactic radiotherapy patient-specific quality assurance. [PDF]
Buddhavarapu A.
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The Impact of Dose Calibration Point Differences Between the Treatment Plan and Patient-specific Quality Assurance in Passive Scattering Proton Beam Therapy. [PDF]
Mori Y +7 more
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Patient-specific Quality Assurance Failure Prediction with Deep Tabular Models
Biomedical Physics & Engineering Express, 2022Abstract Background Patient-specific quality assurance (PSQA) is part of the standard practice to ensure that a patient receives the dose from intensity-modulated radiotherapy (IMRT) beams as planned in the treatment planning system (TPS).
R. Levin, A. Y. Aravkin, M. Kim
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Uncertainty-guided man–machine integrated patient-specific quality assurance
Radiotherapy and Oncology, 2022Providing the confidence level (Uncertainty) of prediction results and guiding patient-specific quality assurance (pQA) can enhance the safety of AI (Artificial intelligence)-based automatic pQA models. However, even state-of-the-art automatic pQA models can only predict the gamma passing rate (GPR) and cannot quantify the prediction uncertainty ...
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