{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T08:47:47Z","timestamp":1769849267043,"version":"3.49.0"},"reference-count":55,"publisher":"World Scientific Pub Co Pte Ltd","issue":"01","funder":[{"name":"the National Science Fund for Distinguished Young Scholars","award":["62025601"],"award-info":[{"award-number":["62025601"]}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61772353"],"award-info":[{"award-number":["61772353"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Neur. Syst."],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:p> Patient-specific quality assurance (QA) for Volumetric Modulated Arc Therapy (VMAT) plans is routinely performed in the clinical. However, it is labor-intensive and time-consuming for medical physicists. QA prediction models can address these shortcomings and improve efficiency. Current approaches mainly focus on single cancer and single modality data. They are not applicable to clinical practice. To assess the accuracy of QA results for VMAT plans, this paper presents a new model that learns complementary features from the multi-modal data to predict the gamma passing rate (GPR). According to the characteristics of VMAT plans, a feature-data fusion approach is designed to fuse the features of imaging and non-imaging information in the model. In this study, 690 VMAT plans are collected encompassing more than ten diseases. The model can accurately predict the most VMAT plans at all three gamma criteria: 2%\/2 mm, 3%\/2 mm and 3%\/3 mm. The mean absolute error between the predicted and measured GPR is 2.17%, 1.16% and 0.71%, respectively. The maximum deviation between the predicted and measured GPR is 3.46%, 4.6%, 8.56%, respectively. The proposed model is effective, and the features of the two modalities significantly influence QA results. <\/jats:p>","DOI":"10.1142\/s0129065721500556","type":"journal-article","created":{"date-parts":[[2021,12,13]],"date-time":"2021-12-13T10:23:14Z","timestamp":1639390994000},"source":"Crossref","is-referenced-by-count":20,"title":["Deep Multimodal Neural Network Based on Data-Feature Fusion for Patient-Specific Quality Assurance"],"prefix":"10.1142","volume":"32","author":[{"given":"Ting","family":"Hu","sequence":"first","affiliation":[{"name":"Department of Computer Science and Technology, Sichuan University, Section 4, Southern 1st Ring Rd, Chengdu, Sichuan, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lizhang","family":"Xie","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Sichuan University, Section 4, Southern 1st Ring Rd, Chengdu, Sichuan, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Sichuan University, Section 4, Southern 1st Ring Rd, Chengdu, Sichuan, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangjun","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhang","family":"Yi","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Sichuan University, Section 4, Southern 1st Ring Rd, Chengdu, Sichuan, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2021,12,10]]},"reference":[{"key":"S0129065721500556BIB001","doi-asserted-by":"crossref","first-page":"4530","DOI":"10.1118\/1.3213085","volume":"36","author":"Schreibmann E.","year":"2009","journal-title":"Med. Phys."},{"issue":"6","key":"S0129065721500556BIB002","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1118\/1.4814655","volume":"40","author":"Clemente F.","year":"2013","journal-title":"Med. Phys."},{"issue":"1","key":"S0129065721500556BIB003","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1118\/1.2818738","volume":"35","author":"Otto K.","year":"2008","journal-title":"Med. Phys."},{"issue":"1","key":"S0129065721500556BIB004","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1186\/s13014-018-1123-x","volume":"13","author":"Park J. M.","year":"2018","journal-title":"Radia. Oncol."},{"key":"S0129065721500556BIB005","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.oraloncology.2018.10.026","volume":"87","author":"Kearney V.","year":"2018","journal-title":"Oral Oncol."},{"key":"S0129065721500556BIB006","doi-asserted-by":"publisher","DOI":"10.3233\/ICA-2010-0345"},{"key":"S0129065721500556BIB007","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2682102"},{"key":"S0129065721500556BIB008","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04359-7"},{"key":"S0129065721500556BIB009","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04146-4"},{"issue":"3","key":"S0129065721500556BIB010","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1016\/j.radonc.2017.10.014","volume":"125","author":"Valdes G.","year":"2017","journal-title":"Radiother. Oncol."},{"issue":"4","key":"S0129065721500556BIB011","doi-asserted-by":"crossref","first-page":"893","DOI":"10.1016\/j.ijrobp.2019.07.049","volume":"105","author":"Li J.","year":"2019","journal-title":"Int. J. Radia. Oncol. Biol. Phys."},{"issue":"7","key":"S0129065721500556BIB012","doi-asserted-by":"crossref","first-page":"2150029","DOI":"10.1142\/S0129065721500295","volume":"31","author":"Zhang J.","year":"2021","journal-title":"Int. J. Neural Syst."},{"key":"S0129065721500556BIB013","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065720500550"},{"key":"S0129065721500556BIB014","doi-asserted-by":"publisher","DOI":"10.1111\/mice.12454"},{"key":"S0129065721500556BIB015","first-page":"361","volume":"35","author":"Wang J.","year":"2018","journal-title":"EBio Med."},{"issue":"99","key":"S0129065721500556BIB016","first-page":"1","author":"Wang L.","year":"2021","journal-title":"IEEE Trans. Neural Networks Learn. Syst."},{"issue":"9","key":"S0129065721500556BIB017","doi-asserted-by":"crossref","first-page":"2150035","DOI":"10.1142\/S0129065721500350","volume":"31","author":"Xue Y.","year":"2021","journal-title":"Int. J. Neural Syst."},{"key":"S0129065721500556BIB018","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2018.04.012"},{"issue":"1","key":"S0129065721500556BIB019","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1109\/TCBB.2018.2858763","volume":"17","author":"Feng Y.","year":"2020","journal-title":"IEEE\/ACM Trans. Comput. Biol. Bioinf."},{"key":"S0129065721500556BIB020","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2017.09.017"},{"key":"S0129065721500556BIB021","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065720500197"},{"issue":"3","key":"S0129065721500556BIB023","doi-asserted-by":"crossref","first-page":"2050069","DOI":"10.1142\/S0129065720500690","volume":"31","author":"Hu F.","year":"2020","journal-title":"Int. J. Neural Syst."},{"key":"S0129065721500556BIB024","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065719500242"},{"key":"S0129065721500556BIB025","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.05.001"},{"key":"S0129065721500556BIB026","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1007\/978-3-319-46723-8_49","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2014 MICCAI","author":"\u00c7i\u00e7ek \u00d6.","year":"2016"},{"issue":"1","key":"S0129065721500556BIB027","first-page":"1","volume":"27","author":"Thurnhofer-Hemsi K.","year":"2020","journal-title":"Integr. Comput. Aided Eng."},{"key":"S0129065721500556BIB028","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065719500102"},{"issue":"12","key":"S0129065721500556BIB029","first-page":"1571","volume":"2018","author":"Yang C.","year":"2018","journal-title":"Amia Ann. Symp. Proc."},{"issue":"2","key":"S0129065721500556BIB030","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1109\/TPAMI.2018.2798607","volume":"41","author":"Baltru\u0161aitis T.","year":"2018","journal-title":"IEEE Trans. Pattern Anal. Machine Intell."},{"issue":"8","key":"S0129065721500556BIB031","doi-asserted-by":"crossref","first-page":"747","DOI":"10.3390\/life11080747","volume":"11","author":"Xue C.","year":"2021","journal-title":"Life"},{"key":"S0129065721500556BIB032","doi-asserted-by":"publisher","DOI":"10.3233\/ICA-180584"},{"key":"S0129065721500556BIB033","doi-asserted-by":"publisher","DOI":"10.3233\/ICA-180596"},{"key":"S0129065721500556BIB034","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3233\/ICA-180592","volume":"26","author":"Lera F. R.","year":"2018","journal-title":"Integr. Comput. Aided Eng."},{"key":"S0129065721500556BIB035","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.03.028"},{"key":"S0129065721500556BIB036","first-page":"285","volume-title":"Int. Conf. Medical Image Computing and Computer-Assisted Intervention","author":"Fidon L.","year":"2017"},{"issue":"16","key":"S0129065721500556BIB037","doi-asserted-by":"crossref","first-page":"6497","DOI":"10.1088\/1361-6560\/aa7731","volume":"62","author":"Le M. H.","year":"2017","journal-title":"Phys. Med. Biol."},{"key":"S0129065721500556BIB038","first-page":"115","volume-title":"Int. Conf. Medical Image Computing and Computer-Assisted Intervention","author":"Xu T.","year":"2016"},{"issue":"6","key":"S0129065721500556BIB039","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1007\/s00530-010-0182-0","volume":"16","author":"Atrey P. K.","year":"2010","journal-title":"Multimedia Syst."},{"issue":"3","key":"S0129065721500556BIB041","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1016\/j.radonc.2018.05.030","volume":"129","author":"Thompson R. F.","year":"2018","journal-title":"Radiotherap. Oncol."},{"issue":"23","key":"S0129065721500556BIB042","doi-asserted-by":"crossref","first-page":"235023","DOI":"10.1088\/1361-6560\/abb31c","volume":"65","author":"Wang L.","year":"2020","journal-title":"Phys. Med. Biol."},{"issue":"4","key":"S0129065721500556BIB043","doi-asserted-by":"crossref","first-page":"095017","DOI":"10.1088\/1361-6560\/ab142e","volume":"64","author":"Granville D. A.","year":"2019","journal-title":"Phys. Med. Biol."},{"key":"S0129065721500556BIB044","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/j.ejmp.2021.03.017","volume":"87","author":"Wall P. D.","year":"2021","journal-title":"Phys. Med."},{"issue":"10","key":"S0129065721500556BIB045","doi-asserted-by":"crossref","first-page":"4666","DOI":"10.1002\/mp.13752","volume":"46","author":"Lam D.","year":"2019","journal-title":"Med. Phys."},{"issue":"7","key":"S0129065721500556BIB046","doi-asserted-by":"crossref","first-page":"4323","DOI":"10.1118\/1.4953835","volume":"43","author":"Valdes G.","year":"2016","journal-title":"Med. Phys."},{"issue":"9","key":"S0129065721500556BIB047","doi-asserted-by":"crossref","first-page":"3823","DOI":"10.1002\/mp.13669","volume":"46","author":"Ono T.","year":"2019","journal-title":"Med. Phys."},{"issue":"6","key":"S0129065721500556BIB048","doi-asserted-by":"crossref","first-page":"2672","DOI":"10.1002\/mp.12890","volume":"45","author":"Interian Y.","year":"2018","journal-title":"Med. Phys."},{"issue":"9","key":"S0129065721500556BIB049","doi-asserted-by":"crossref","first-page":"4055","DOI":"10.1002\/mp.13112","volume":"45","author":"Tomori S.","year":"2018","journal-title":"Med. Phys."},{"issue":"3","key":"S0129065721500556BIB050","doi-asserted-by":"crossref","first-page":"1003","DOI":"10.1002\/mp.14682","volume":"48","author":"Tomori S.","year":"2021","journal-title":"Med. Phys."},{"issue":"2","key":"S0129065721500556BIB051","doi-asserted-by":"crossref","first-page":"456","DOI":"10.1002\/mp.13338","volume":"46","author":"Nyflot M. J.","year":"2019","journal-title":"Med. Phys."},{"issue":"3","key":"S0129065721500556BIB052","doi-asserted-by":"crossref","first-page":"1349","DOI":"10.1002\/mp.13985","volume":"47","author":"Shiba E.","year":"2020","journal-title":"Med. Phys."},{"key":"S0129065721500556BIB053","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"S0129065721500556BIB054","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"issue":"2","key":"S0129065721500556BIB056","first-page":"1097","volume":"25","author":"Krizhevsky A.","year":"2012","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"S0129065721500556BIB057","author":"Simonyan K.","year":"2014","journal-title":"Comput. Sci."},{"key":"S0129065721500556BIB058","first-page":"2818","volume-title":"IEEE Conf. Computer Vision and Pattern Recognition","author":"Szegedy C.","year":"2016"}],"container-title":["International Journal of Neural Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0129065721500556","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,13]],"date-time":"2021-12-13T10:25:49Z","timestamp":1639391149000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0129065721500556"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,10]]},"references-count":55,"journal-issue":{"issue":"01","published-print":{"date-parts":[[2022,1]]}},"alternative-id":["10.1142\/S0129065721500556"],"URL":"https:\/\/doi.org\/10.1142\/s0129065721500556","relation":{},"ISSN":["0129-0657","1793-6462"],"issn-type":[{"value":"0129-0657","type":"print"},{"value":"1793-6462","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12,10]]},"article-number":"2150055"}}