Journal of Medical Physics最新文献

{"title":"Effect of Magnetic Resonance Imaging on the Motion Accuracy of Magnetic Resonance Imaging-compatible Focused Ultrasound Robotic System.","authors":"Anastasia Antoniou, Nikolas Evripidou, Antreas Chrysanthou, Leonidas Georgiou, Cleanthis Ioannides, Kyriakos Spanoudes, Christakis Damianou","doi":"10.4103/jmp.jmp_7_24","DOIUrl":"10.4103/jmp.jmp_7_24","url":null,"abstract":"<p><strong>Purpose: </strong>The current study provides insights into the challenges of safely operating a magnetic resonance imaging (MRI)-guided focused ultrasound (MRgFUS) robotic system in a high-field MRI scanner in terms of robotic motion accuracy.</p><p><strong>Materials and methods: </strong>Grid sonications were carried out in phantoms and excised porcine tissue in a 3T MRI scanner using an existing MRgFUS robotic system. Fast low-angle shot-based magnetic resonance thermometry was employed for the intraprocedural monitoring of thermal distribution.</p><p><strong>Results: </strong>Strong shifting of the heated spots from the intended points was observed owing to electromagnetic interference (EMI)-induced malfunctions in system's operation. Increasing the slice thickness of the thermometry sequence to at least 8 mm was proven an efficient method for preserving the robotic motion accuracy.</p><p><strong>Conclusions: </strong>These findings raise awareness about EMI effects on the motion accuracy of MRgFUS robotic devices and how they can be mitigated by employing suitable thermometry parameters.</p>","PeriodicalId":51719,"journal":{"name":"Journal of Medical Physics","volume":"49 2","pages":"203-212"},"PeriodicalIF":0.7,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11309133/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141918074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of Ion Recombination Correction for Indigenously Developed Farmer Ion Chamber in Flattening Filter-Free Photon Beams.","authors":"Parimal T Patwe, Sudesh S Deshpande, Gajanan R Mahajan","doi":"10.4103/jmp.jmp_136_23","DOIUrl":"10.4103/jmp.jmp_136_23","url":null,"abstract":"<p><strong>Purpose and aim: </strong>Modern generation linear accelerator (linac) either generates X-rays with a flattening filter (WFF beam) or without flattening filter free (FFF beam). The FFF beams are associated with a significantly higher dose per pulse compared to WFF beams due to the absence of a flattening filter and the corresponding attenuation caused by it. This results in increased ion recombination and a larger saturation correction factor (k_s). In accordance with the IAEA TRS 398 dosimetry protocol, k_s is necessary for the accurate measurement of absorbed dose at a point in water. The objective of this study was to evaluate the k_s for the indigenous FAR 65-GB ion chamber (IC) for the FFF X-rays.</p><p><strong>Materials and methods: </strong>The study was carried out on TrueBeam linac (Varian, A Siemens Healthineers company) which offers 6 MV WFF, 6 MV FFF, 10 MV WFF and 10 MV FFF beams. The two-voltage method was employed to measure k_s in a solid water phantom at a depth of 10 cm for a FAR 65-GB and SNC 600c and 0.6cc PTW 30013 Farmer chambers at 100 cm and 150 cm source-to-chamber distances for a 10 cm × 10 cm field size.</p><p><strong>Results: </strong>The k_s values for the FAR 65-GB, PTW 30,013, and SNC 600c were 1.0055 (1.0113), 1.0051 (1.0071), and 1.0033 (1.0066) for the 6 MV WFF (FFF) beams, respectively, and 1.0066 (1.0178), 1.0061 (1.0137), and 1.0035 (1.0119) for the 10MV WFF (FFF) beams, respectively. The k_s values calculated by two-voltage method matches with k_s values obtained from Jaffe's plot. The chamber exhibited a linear dose-response up to 3000 cGy, beyond which a saturation effect was observed.</p><p><strong>Conclusions: </strong>Our study reveals that this chamber is suitable for the reference dosimetry for the FFF beams.</p>","PeriodicalId":51719,"journal":{"name":"Journal of Medical Physics","volume":"49 2","pages":"279-284"},"PeriodicalIF":0.7,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11309131/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141918077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of the Minimum Segment Width and Fluence Smoothing Tools for Intensity-modulated Techniques in Monaco Treatment Planning System.","authors":"Sara Jiménez-Puertas, Andrea González Rodríguez, Sergio Lozares Cordero, Tomás González González, Javier Díez Chamarro, Mónica Hernández Hernández, Raquel Castro Moreno, Marta Sánchez Casi, David Carlos Villa Gazulla, Almudena Gandía Martínez, Arantxa Campos Bonel, Maria Del Mar Puertas Valiño, José Antonio Font Gómez","doi":"10.4103/jmp.jmp_156_23","DOIUrl":"10.4103/jmp.jmp_156_23","url":null,"abstract":"<p><strong>Purpose: </strong>This study aims to minimize monitor units (MUs) of intensity-modulated treatments in the Monaco treatment planning system while preserving plan quality by optimizing the \"Minimum Segment Width\" (MSW) and \"Fluence Smoothing\" parameters.</p><p><strong>Materials and methods: </strong>We retrospectively analyzed 30 prostate, 30 gynecological, 15 breast cancer, 10 head and neck tumor, 11 radiosurgery, and 10 hypo-fractionated plans. Original prostate plans employed \"Fluence Smoothing\" = <i>Off</i> and were reoptimized with <i>Low</i>, <i>Medium</i>, and <i>High</i> settings. The remaining pathologies initially used MSW = 0.5 cm and were reoptimized with MSW = 1.0 cm. Plan quality, including total MU, delivery time, and dosimetric constraints, was statistically analyzed with a paired <i>t</i>-test.</p><p><strong>Results: </strong>Prostate plans exhibited the highest MU variation when changing \"Fluence Smoothing\" from <i>Off</i> to <i>High</i> (average ΔMU = -5.1%; <i>P</i> < 0.001). However, a <i>High</i> setting may increase overall MU when MSW = 0.5 cm. Gynecological plans changed substantially when MSW increased from 0.5 cm to 1.0 cm (average ΔMU = -29%; <i>P</i> < 0.001). Organs at risk sparing and planning target volumes remained within 1.2% differences. Replanning other pathologies with MSW = 1.0 cm affected breast and head and neck tumor plans (average ΔMU = -168.38, average Δt = -11.74 s, and average ΔMU = -256.56, average Δt = -15.05 s, respectively; all with <i>P</i> < 0.004). Radiosurgery and hypofractioned highly modulated plans did not yield statistically significant results.</p><p><strong>Conclusions: </strong>In breast, pelvis, head and neck, and prostate plans, starting with MSW = 1.0 cm optimally reduces MU and treatment time without compromising plan quality. MSW has a greater impact on MU than the \"Fluence Smoothing\" parameter. Plans with high modulation might present divergent behavior, requiring a case-specific analysis with MSW values higher than 0.5 cm.</p>","PeriodicalId":51719,"journal":{"name":"Journal of Medical Physics","volume":"49 2","pages":"250-260"},"PeriodicalIF":0.7,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11309139/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141918078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the Potential of Machine Learning Algorithms to Improve Diffusion Nuclear Magnetic Resonance Imaging Models Analysis.","authors":"Leonar Steven Prieto-González, Luis Agulles-Pedrós","doi":"10.4103/jmp.jmp_10_24","DOIUrl":"10.4103/jmp.jmp_10_24","url":null,"abstract":"<p><strong>Purpose: </strong>This paper explores different machine learning (ML) algorithms for analyzing diffusion nuclear magnetic resonance imaging (dMRI) models when analytical fitting shows restrictions. It reviews various ML techniques for dMRI analysis and evaluates their performance on different <i>b</i>-values range datasets, comparing them with analytical methods.</p><p><strong>Materials and methods: </strong>After standard fitting for reference, four sets of diffusion-weighted nuclear magnetic resonance images were used to train/test various ML algorithms for prediction of diffusion coefficient (D), pseudo-diffusion coefficient (D*), perfusion fraction (f), and kurtosis (K). ML classification algorithms, including extra-tree classifier (ETC), logistic regression, C-support vector, extra-gradient boost, and multilayer perceptron (MLP), were used to determine the existence of diffusion parameters (D, D*, f, and K) within single voxels. Regression algorithms, including linear regression, polynomial regression, ridge, lasso, random forest (RF), elastic-net, and support-vector machines, were used to estimate the value of the diffusion parameters. Performance was evaluated using accuracy (ACC), area under the curve (AUC) tests, and cross-validation root mean square error (RMSE_CV). Computational timing was also assessed.</p><p><strong>Results: </strong>ETC and MLP were the best classifiers, with 94.1% and 91.7%, respectively, for the ACC test and 98.7% and 96.3% for the AUC test. For parameter estimation, RF algorithm yielded the most accurate results The RMSE_CV percentages were: 8.39% for D, 3.57% for D*, 4.52% for f, and 3.53% for K. After the training phase, the ML methods demonstrated a substantial decrease in computational time, being approximately 232 times faster than the conventional methods.</p><p><strong>Conclusions: </strong>The findings suggest that ML algorithms can enhance the efficiency of dMRI model analysis and offer new perspectives on the microstructural and functional organization of biological tissues. This paper also discusses the limitations and future directions of ML-based dMRI analysis.</p>","PeriodicalId":51719,"journal":{"name":"Journal of Medical Physics","volume":"49 2","pages":"189-202"},"PeriodicalIF":0.7,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11309135/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141918080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validation of Microionization Chambers in Small-field Dosimetry.","authors":"Mageshraja Kannan, Sathiyan Saminathan, B Shwetha, Varatharaj Chandraraj, D Gowtham Raj, K M Ganesh","doi":"10.4103/jmp.jmp_9_24","DOIUrl":"10.4103/jmp.jmp_9_24","url":null,"abstract":"<p><strong>Aim: </strong>This study aims to validate the Razor Nano Chamber (RNC) and Razor Chamber (RC) dosimetric characteristics in a small field. The dosimetric parameters of the two chambers were compared.</p><p><strong>Materials and methods: </strong>The chamber characteristics of leakage (pre and post), stability, energy dependency, dose linearity, dose rate effect, stem effect, angular dependency, ion recombination effect, and polarity effect were studied. Relative dose measurements of the percentage depth dose, profile measurement, and output factor (OF) measurements were performed for small fields. All measurements were performed in a Theratron 780E telecobalt unit and an Elekta Versa HD™ Linear Accelerator.</p><p><strong>Results and discussion: </strong>The measured pre- and postirradiation leakage and energy dependency were within 0.5% of the acceptable limit. In the stability check, the standard error and standard error of mean were 0.047% and 0.068%, respectively, for both RNC and RC. The deviation in the angular responses of the RNC and RC ion chambers was negligible. In the ion recombination measurements, both the RNC and RC were overestimated for the 10 flattening filter-free photon beam. In small fields, there were no significant differences in the k_pol values for either chamber. The RNC showed good agreement in the relative dose measurements compared to the RC.</p><p><strong>Conclusion: </strong>RNC and RC showed good agreement in small-field dosimetry. The RNC angular dependency and OF showed a superior response compared to the RC because of the small volume spherical shape and high spatial resolution, which gives a reduced penumbra and no volume averaging effect.</p>","PeriodicalId":51719,"journal":{"name":"Journal of Medical Physics","volume":"49 2","pages":"285-293"},"PeriodicalIF":0.7,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11309149/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141918087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing Heterogeneity Effects on Points A, B, and Organs at Risk Doses in High-dose-Rate Brachytherapy for Cervical Cancer - A Comparison of ¹⁹²Ir and ⁶⁰Co Sources Using Monte Carlo N-Particle 5.","authors":"Mohammad Hossein Sadeghi, Sedigheh Sina, Ali Soleimani Meigooni","doi":"10.4103/jmp.jmp_162_23","DOIUrl":"10.4103/jmp.jmp_162_23","url":null,"abstract":"<p><strong>Purpose: </strong>The present article deals with investigating the effects of tissue heterogeneity consideration on the dose distribution of ¹⁹²Ir and ⁶⁰Co sources in high-dose-rate brachytherapy (HDR-BT).</p><p><strong>Materials and methods: </strong>A Monte Carlo N-Particle 5 (MCNP5) code was developed for the simulation of the dose distribution in homogeneous and heterogeneous phantoms for cervical cancer patients. The phantoms represented water-equivalent and human body-equivalent tissues. Treatment data for a patient undergoing HDR-BT with a ¹⁹²Ir source were used as a reference for validation, and for ⁶⁰Co, AAPM Task Group 43 methodology was also applied. The dose values were calculated for both source types in the phantoms.</p><p><strong>Results: </strong>The results showed a good agreement between the calculated dose in the homogeneous phantom and the real patient's treatment data, with a relative difference of less than 5% for both sources. However, when comparing the absorbed doses at critical points such as Point A right, Point A left, Point B right, Point B left, bladder International Commission on Radiation Units and Measurement (ICRU) point, and recto-vaginal ICRU point, the study revealed significant percentage differences (approximately 5.85% to 12.02%) between the homogeneous and heterogeneous setups for both ¹⁹²Ir and ⁶⁰Co sources. The analysis of dose-volume histograms (DVH) indicated that organs at risk, notably the rectum and bladder, still received doses within recommended limits.</p><p><strong>Conclusions: </strong>The study concludes that ⁶⁰Co and ¹⁹²Ir sources can be effectively used in HDR-BT, provided that careful consideration is given to tissue heterogeneity effects during treatment planning to ensure optimal therapeutic outcomes.</p>","PeriodicalId":51719,"journal":{"name":"Journal of Medical Physics","volume":"49 2","pages":"294-303"},"PeriodicalIF":0.7,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11309145/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141918057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Commissioning of the First MRlinac in Latin America.","authors":"Rojas-López José Alejandro, Cabrera-Santiago Alexis, González Souto Xesús","doi":"10.4103/jmp.jmp_6_24","DOIUrl":"10.4103/jmp.jmp_6_24","url":null,"abstract":"<p><strong>Purpose: </strong>To show the workflow for the commissioning of a MRlinac, and some proposed tests; off-axis targets, output factors for small fields, dose in inhomogeneities, and multileaf collimator quality assurance (MLC QA).</p><p><strong>Methods: </strong>The tests were performed based on TG-142, TG-119, ICRU 97, TRS-398, and TRS-483 recommendations as well as national regulations for radiation protection and safety.</p><p><strong>Results: </strong>The imaging tests are in agreement with the protocols. The radiation isocenter was 0.34 mm, and for off-axis targets location was up to 0.88 mm. The dose profiles measured and calculated in treatment planning system (TPS) passed in all cases the gamma analysis of 2%/2 mm (global dose differences). The output factors of fields larger than 2 cm × 2 cm are in agreement with the model of the MRlinac in the TPS. However, for smaller fields, their differences are higher than 10%. Picket fence test for different gantry angles showed a maximum leaf deviation up to 0.2 mm. Displacements observed in treatment couch adding weight (50 kg) are lower than 1 mm. Cryostat, bridge, and couch attenuation was up to 1.2%, 10%, and 24%, respectively.</p><p><strong>Conclusion: </strong>The implemented tests confirm that the studied MRlinac agrees with the standards reported in the literature and that the strict tolerances established as a baseline should allow a smoother implementation of stereotactic treatments in this machine.</p>","PeriodicalId":51719,"journal":{"name":"Journal of Medical Physics","volume":"49 2","pages":"213-224"},"PeriodicalIF":0.7,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11309142/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141918072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Breast Cancer Subtype Prediction Model Employing Artificial Neural Network and ¹⁸F-Fluorodeoxyglucose Positron Emission Tomography/ Computed Tomography.","authors":"Alamgir Hossain, Shariful Islam Chowdhury","doi":"10.4103/jmp.jmp_181_23","DOIUrl":"10.4103/jmp.jmp_181_23","url":null,"abstract":"<p><strong>Introduction: </strong>Although positron emission tomography/computed tomography (PET/CT) is a common tool for measuring breast cancer (BC), subtypes are not automatically classified by it. Therefore, the purpose of this research is to use an artificial neural network (ANN) to evaluate the clinical subtypes of BC based on the value of the tumor marker.</p><p><strong>Materials and methods: </strong>In our nuclear medical facility, 122 BC patients (training and testing) had ¹⁸F-fluoro-D-glucose (¹⁸F-FDG) PET/CT to identify the various subtypes of the disease. ¹⁸F-FDG-18 injections were administered to the patients before the scanning process. We carried out the scan according to protocol. Based on the tumor marker value, the ANN's output layer uses the Softmax function with cross-entropy loss to detect different subtypes of BC.</p><p><strong>Results: </strong>With an accuracy of 95.77%, the result illustrates the ANN model for K-fold cross-validation. The mean values of specificity and sensitivity were 0.955 and 0.958, respectively. The area under the curve on average was 0.985.</p><p><strong>Conclusion: </strong>Subtypes of BC may be categorized using the suggested approach. The PET/CT may be updated to diagnose BC subtypes using the appropriate tumor maker value when the suggested model is clinically implemented.</p>","PeriodicalId":51719,"journal":{"name":"Journal of Medical Physics","volume":"49 2","pages":"181-188"},"PeriodicalIF":0.7,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11309150/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141918071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Revamped Editorial Board and Newer Goals for <i>Journal of Medical Physics</i>.","authors":"Sunil Dutt Sharma","doi":"10.4103/jmp.jmp_103_24","DOIUrl":"10.4103/jmp.jmp_103_24","url":null,"abstract":"","PeriodicalId":51719,"journal":{"name":"Journal of Medical Physics","volume":"49 2","pages":"135-136"},"PeriodicalIF":0.7,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11309141/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141918085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling of Gamma Index for Prediction of Pretreatment Quality Assurance in Stereotactic Body Radiation Therapy of the Liver.","authors":"Rose Kamal, Deepak Thaper, Gaganpreet Singh, Shambhavi Sharma, Navjeet, Arun Singh Oinam, Vivek Kumar","doi":"10.4103/jmp.jmp_176_23","DOIUrl":"10.4103/jmp.jmp_176_23","url":null,"abstract":"<p><strong>Purpose: </strong>The purpose of this study was to develop a predictive model to evaluate pretreatment patient-specific quality assurance (QA) based on treatment planning parameters for stereotactic body radiation therapy (SBRT) for liver carcinoma.</p><p><strong>Materials and methods: </strong>We retrospectively selected 180 cases of liver SBRT treated using the volumetric modulated arc therapy technique. Numerous parameters defining the plan complexity were calculated from the DICOM-RP (Radiotherapy Plan) file using an in-house program developed in MATLAB. Patient-specific QA was performed with global gamma evaluation criteria of 2%/2 mm and 3%/3 mm in a relative mode using the Octavius two-dimensional detector array. Various statistical tests and multivariate predictive models were evaluated.</p><p><strong>Results: </strong>The leaf speed (MI_LS) and planning target volume size showed the highest correlation with the gamma criteria of 2%/2 mm and 3%/3 mm (<i>P</i> < 0.05). Degree of modulation (DoM), MCS_SPORT, leaf speed (MI_LS), and gantry speed (MI_GS) were predictors of global gamma pass rate (GPR) for 2%/2 mm (G22), whereas DoM, MCS_SPORT, leaf speed (MI_LS) and robust decision making were predictors of the global GPR criterion of 3%/3 mm (G33). The variance inflation factor values of all predictors were <2, indicating that the data were not associated with each other. For the G22 prediction, the sensitivity and specificity of the model were 75.0% and 75.0%, respectively, whereas, for G33 prediction, the sensitivity and specificity of the model were 74.9% and 85.7%%, respectively.</p><p><strong>Conclusions: </strong>The model was potentially beneficial as an easy alternative to pretreatment QA in predicting the uncertainty in plan deliverability at the planning stage and could help reduce resources in busy clinics.</p>","PeriodicalId":51719,"journal":{"name":"Journal of Medical Physics","volume":"49 2","pages":"232-239"},"PeriodicalIF":0.7,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11309143/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141918082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}