136 related articles for article (PubMed ID: 37089905)
1. Prediction models as decision-support tools for virtual patient-specific quality assurance of helical tomotherapy plans.
Cavinato S; Bettinelli A; Dusi F; Fusella M; Germani A; Marturano F; Paiusco M; Pivato N; Rossato MA; Scaggion A
Phys Imaging Radiat Oncol; 2023 Apr; 26():100435. PubMed ID: 37089905
[TBL] [Abstract][Full Text] [Related]
2. Quantitative assessment of helical tomotherapy plans complexity.
Cavinato S; Fusella M; Paiusco M; Scaggion A
J Appl Clin Med Phys; 2023 Jan; 24(1):e13781. PubMed ID: 36523156
[TBL] [Abstract][Full Text] [Related]
3. Patient-specific quality assurance prediction models based on machine learning for novel dual-layered MLC linac.
Zhu H; Zhu Q; Wang Z; Yang B; Zhang W; Qiu J
Med Phys; 2023 Feb; 50(2):1205-1214. PubMed ID: 36342293
[TBL] [Abstract][Full Text] [Related]
4. An effective and optimized patient-specific QA workload reduction for VMAT plans after MLC-modelling optimization.
Marsac T; Camejo AB; Chiavassa S; Jan S; Lorand H; Moignier A
Phys Med; 2023 Mar; 107():102548. PubMed ID: 36842260
[TBL] [Abstract][Full Text] [Related]
5. Robotic MLC-based plans: A study of plan complexity.
Masi L; Hernandez V; Saez J; Doro R; Livi L
Med Phys; 2021 Mar; 48(3):942-952. PubMed ID: 33332628
[TBL] [Abstract][Full Text] [Related]
6. Analysis of the planned, delivered dose distributions and quality assurance for helical tomotherapy and volumetric modulated arc therapy in locally advanced non-small cell lung cancer.
Klunklin P; Manoharn T; Wanwilairat S; Nobnop W; Watcharawipha A; Chitapanarux I
Rep Pract Oncol Radiother; 2021; 26(6):939-947. PubMed ID: 34992866
[TBL] [Abstract][Full Text] [Related]
7. Clinical implementation of an exit detector-based dose reconstruction tool for helical tomotherapy delivery quality assurance.
Deshpande S; Xing A; Metcalfe P; Holloway L; Vial P; Geurts M
Med Phys; 2017 Oct; 44(10):5457-5466. PubMed ID: 28737014
[TBL] [Abstract][Full Text] [Related]
8. Evaluation of prediction and classification performances in different machine learning models for patient-specific quality assurance of head-and-neck VMAT plans.
Kusunoki T; Hatanaka S; Hariu M; Kusano Y; Yoshida D; Katoh H; Shimbo M; Takahashi T
Med Phys; 2022 Jan; 49(1):727-741. PubMed ID: 34859445
[TBL] [Abstract][Full Text] [Related]
9. Efficient dose-volume histogram-based pretreatment patient-specific quality assurance methodology with combined deep learning and machine learning models for volumetric modulated arc radiotherapy.
Gong C; Zhu K; Lin C; Han C; Lu Z; Chen Y; Yu C; Hou L; Zhou Y; Yi J; Ai Y; Xiang X; Xie C; Jin X
Med Phys; 2022 Dec; 49(12):7779-7790. PubMed ID: 36190117
[TBL] [Abstract][Full Text] [Related]
10. Integrating plan complexity and dosiomics features with deep learning in patient-specific quality assurance for volumetric modulated arc therapy.
Han C; Zhang J; Yu B; Zheng H; Wu Y; Lin Z; Ning B; Yi J; Xie C; Jin X
Radiat Oncol; 2023 Jul; 18(1):116. PubMed ID: 37434171
[TBL] [Abstract][Full Text] [Related]
11. Prospective Clinical Validation of Virtual Patient-Specific Quality Assurance of Volumetric Modulated Arc Therapy Radiation Therapy Plans.
Wall PDH; Hirata E; Morin O; Valdes G; Witztum A
Int J Radiat Oncol Biol Phys; 2022 Aug; 113(5):1091-1102. PubMed ID: 35533908
[TBL] [Abstract][Full Text] [Related]
12. Machine Learning for Patient-Specific Quality Assurance of VMAT: Prediction and Classification Accuracy.
Li J; Wang L; Zhang X; Liu L; Li J; Chan MF; Sui J; Yang R
Int J Radiat Oncol Biol Phys; 2019 Nov; 105(4):893-902. PubMed ID: 31377162
[TBL] [Abstract][Full Text] [Related]
13. Machine learning-generated decision boundaries for prediction and exploration of patient-specific quality assurance failures in stereotactic radiosurgery plans.
Braun J; Quirk S; Tchistiakova E
Med Phys; 2022 Mar; 49(3):1955-1963. PubMed ID: 35064564
[TBL] [Abstract][Full Text] [Related]
14. Evaluation and Validation of IBA I'MatriXX Array for Patient-Specific Quality Assurance of TomoTherapy
Madhusudhana Sresty NVN; Raju AK; Reddy BN; Sahithya VC; Mohmd Y; Kumar GD; Kumar TA; Rushdi T; Aparna S; Prasad GD; Bajwa HK
J Med Phys; 2019; 44(3):222-227. PubMed ID: 31576071
[TBL] [Abstract][Full Text] [Related]
15. Conversion of helical tomotherapy plans to step-and-shoot IMRT plans--Pareto front evaluation of plans from a new treatment planning system.
Petersson K; Ceberg C; Engström P; Benedek H; Nilsson P; Knöös T
Med Phys; 2011 Jun; 38(6):3130-8. PubMed ID: 21815387
[TBL] [Abstract][Full Text] [Related]
16. Leaf open time sinogram (LOTS): a novel approach for patient specific quality assurance of total marrow irradiation.
Thiyagarajan R; Sharma DS; Kaushik S; Sawant M; Ganapathy K; Nambi Raj NA; Chilukuri S; Sundar SC; Patro KC; Manikandan A; Noufal MP; Sivaraman R; Easow J; Jalali R
Radiat Oncol; 2020 Oct; 15(1):236. PubMed ID: 33054792
[TBL] [Abstract][Full Text] [Related]
17. Multi-task autoencoder based classification-regression model for patient-specific VMAT QA.
Wang L; Li J; Zhang S; Zhang X; Zhang Q; Chan MF; Yang R; Sui J
Phys Med Biol; 2020 Nov; 65(23):235023. PubMed ID: 33245054
[TBL] [Abstract][Full Text] [Related]
18. Reduction of patient specific quality assurance through plan complexity metrics for VMAT plans with an open-source TPS script.
Uher K; Ehrbar S; Tanadini-Lang S; Dal Bello R
Z Med Phys; 2023 Mar; ():. PubMed ID: 37001999
[TBL] [Abstract][Full Text] [Related]
19. Do we need patient-specific QA for adaptively generated plans? Retrospective evaluation of delivered online adaptive treatment plans on Varian Ethos.
Zhao X; Stanley DN; Cardenas CE; Harms J; Popple RA
J Appl Clin Med Phys; 2023 Feb; 24(2):e13876. PubMed ID: 36560887
[TBL] [Abstract][Full Text] [Related]
20. Detecting MLC modeling errors using radiomics-based machine learning in patient-specific QA with an EPID for intensity-modulated radiation therapy.
Sakai M; Nakano H; Kawahara D; Tanabe S; Takizawa T; Narita A; Yamada T; Sakai H; Ueda M; Sasamoto R; Kaidu M; Aoyama H; Ishikawa H; Utsunomiya S
Med Phys; 2021 Mar; 48(3):991-1002. PubMed ID: 33382467
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]