Investigation of multimodal deep learning models for predicting ovarian tumor malignancy based on ultrasound images and clinical information - a comprehensive comparative study against readers and O-RADS.
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| Title: | Investigation of multimodal deep learning models for predicting ovarian tumor malignancy based on ultrasound images and clinical information - a comprehensive comparative study against readers and O-RADS. |
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| Authors: | Lai L; Department of Health Management, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, 310022, China., Chen C; Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China.; Research Center of Interventional Medicine and Engineering, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310018, China.; Zhejiang Provincial Research Center for Innovative Technology and Equipment in Interventional Oncology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, 310022, China., Zhou Y; Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China.; Research Center of Interventional Medicine and Engineering, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310018, China.; Zhejiang Provincial Research Center for Innovative Technology and Equipment in Interventional Oncology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, 310022, China., Wang VY; Wenling Institute of Big Data and Artificial Intelligence in Medicine, Taizhou, 317502, China., Zhu M; Department of Ultrasound Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, 310022, China., Jin Z; Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China., Wu Y; Department of Ultrasound Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, 310022, China., Ma C; Department of Health Management, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, 310022, China., Zhang Q; Department of Ultrasound Medicine, Shaoxing People's Hospital, Shaoxing, 312000, China., Chen Q; Department of Ultrasound Medicine, Xianju People's Hospital, Zhejiang Southeast Campus of Zhejiang Provincial People's Hospital, Affiliated Xianju's Hospital, Hangzhou Medical College, Xianju, 317300, China., Xu D; Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China. xudong@zjcc.org.cn.; Research Center of Interventional Medicine and Engineering, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310018, China. xudong@zjcc.org.cn.; Wenling Institute of Big Data and Artificial Intelligence in Medicine, Taizhou, 317502, China. xudong@zjcc.org.cn.; Zhejiang Provincial Research Center for Innovative Technology and Equipment in Interventional Oncology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, 310022, China. xudong@zjcc.org.cn. |
| Source: | BMC medical imaging [BMC Med Imaging] 2026 Apr 06; Vol. 26 (1). Date of Electronic Publication: 2026 Apr 06. |
| Publication Type: | Journal Article; Comparative Study; Multicenter Study |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100968553 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2342 (Electronic) Linking ISSN: 14712342 NLM ISO Abbreviation: BMC Med Imaging Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41942868 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Investigation of multimodal deep learning models for predicting ovarian tumor malignancy based on ultrasound images and clinical information - a comprehensive comparative study against readers and O-RADS. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Lai+L%22">Lai L</searchLink>; Department of Health Management, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, 310022, China.<br /><searchLink fieldCode="AU" term="%22Chen+C%22">Chen C</searchLink>; Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China.; Research Center of Interventional Medicine and Engineering, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310018, China.; Zhejiang Provincial Research Center for Innovative Technology and Equipment in Interventional Oncology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, 310022, China.<br /><searchLink fieldCode="AU" term="%22Zhou+Y%22">Zhou Y</searchLink>; Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China.; Research Center of Interventional Medicine and Engineering, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310018, China.; Zhejiang Provincial Research Center for Innovative Technology and Equipment in Interventional Oncology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, 310022, China.<br /><searchLink fieldCode="AU" term="%22Wang+VY%22">Wang VY</searchLink>; Wenling Institute of Big Data and Artificial Intelligence in Medicine, Taizhou, 317502, China.<br /><searchLink fieldCode="AU" term="%22Zhu+M%22">Zhu M</searchLink>; Department of Ultrasound Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, 310022, China.<br /><searchLink fieldCode="AU" term="%22Jin+Z%22">Jin Z</searchLink>; Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China.<br /><searchLink fieldCode="AU" term="%22Wu+Y%22">Wu Y</searchLink>; Department of Ultrasound Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, 310022, China.<br /><searchLink fieldCode="AU" term="%22Ma+C%22">Ma C</searchLink>; Department of Health Management, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, 310022, China.<br /><searchLink fieldCode="AU" term="%22Zhang+Q%22">Zhang Q</searchLink>; Department of Ultrasound Medicine, Shaoxing People's Hospital, Shaoxing, 312000, China.<br /><searchLink fieldCode="AU" term="%22Chen+Q%22">Chen Q</searchLink>; Department of Ultrasound Medicine, Xianju People's Hospital, Zhejiang Southeast Campus of Zhejiang Provincial People's Hospital, Affiliated Xianju's Hospital, Hangzhou Medical College, Xianju, 317300, China.<br /><searchLink fieldCode="AU" term="%22Xu+D%22">Xu D</searchLink>; Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China. xudong@zjcc.org.cn.; Research Center of Interventional Medicine and Engineering, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310018, China. xudong@zjcc.org.cn.; Wenling Institute of Big Data and Artificial Intelligence in Medicine, Taizhou, 317502, China. xudong@zjcc.org.cn.; Zhejiang Provincial Research Center for Innovative Technology and Equipment in Interventional Oncology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, 310022, China. xudong@zjcc.org.cn. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22100968553%22">BMC medical imaging</searchLink> [BMC Med Imaging] 2026 Apr 06; Vol. 26 (1). <i>Date of Electronic Publication: </i>2026 Apr 06. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Comparative Study; Multicenter Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100968553 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1471-2342 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214712342%22">14712342 </searchLink><i>NLM ISO Abbreviation: </i>BMC Med Imaging <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41942868 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s12880-026-02312-4 Languages: – Code: eng Text: English Titles: – TitleFull: Investigation of multimodal deep learning models for predicting ovarian tumor malignancy based on ultrasound images and clinical information - a comprehensive comparative study against readers and O-RADS. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lai L – PersonEntity: Name: NameFull: Chen C – PersonEntity: Name: NameFull: Zhou Y – PersonEntity: Name: NameFull: Wang VY – PersonEntity: Name: NameFull: Zhu M – PersonEntity: Name: NameFull: Jin Z – PersonEntity: Name: NameFull: Wu Y – PersonEntity: Name: NameFull: Ma C – PersonEntity: Name: NameFull: Zhang Q – PersonEntity: Name: NameFull: Chen Q – PersonEntity: Name: NameFull: Xu D IsPartOfRelationships: – BibEntity: Dates: – D: 06 M: 04 Text: 2026 Apr 06 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1471-2342 Numbering: – Type: volume Value: 26 – Type: issue Value: 1 Titles: – TitleFull: BMC medical imaging Type: main |
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