Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study.
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| Title: | Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study. |
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| Authors: | Gu J; Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.; CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China., Tong T; CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China., Xu D; Department of Ultrasound, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China., Cheng F; Department of Ultrasound, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China., Fang C; Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China., He C; Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China., Wang J; Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China., Wang B; Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China., Yang X; CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China., Wang K; CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China., Tian J; CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China., Jiang T; Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.; Zhejiang Provincial Key Laboratory of Pulsed Electric Field Technology Medical Transformation, Hangzhou, China. |
| Source: | Cancer [Cancer] 2023 Feb 01; Vol. 129 (3), pp. 356-366. Date of Electronic Publication: 2022 Nov 19. |
| Publication Type: | Multicenter Study; Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Wiley Country of Publication: United States NLM ID: 0374236 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-0142 (Electronic) Linking ISSN: 0008543X NLM ISO Abbreviation: Cancer Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36401611 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Gu+J%22">Gu J</searchLink>; Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.; CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Tong+T%22">Tong T</searchLink>; CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Xu+D%22">Xu D</searchLink>; Department of Ultrasound, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Cheng+F%22">Cheng F</searchLink>; Department of Ultrasound, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Fang+C%22">Fang C</searchLink>; Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22He+C%22">He C</searchLink>; Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Wang+J%22">Wang J</searchLink>; Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Wang+B%22">Wang B</searchLink>; Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Yang+X%22">Yang X</searchLink>; CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Wang+K%22">Wang K</searchLink>; CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Tian+J%22">Tian J</searchLink>; CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Jiang+T%22">Jiang T</searchLink>; Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.; Zhejiang Provincial Key Laboratory of Pulsed Electric Field Technology Medical Transformation, Hangzhou, China. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220374236%22">Cancer</searchLink> [Cancer] 2023 Feb 01; Vol. 129 (3), pp. 356-366. <i>Date of Electronic Publication: </i>2022 Nov 19. – Name: TypePub Label: Publication Type Group: TypPub Data: Multicenter Study; Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley%22">Wiley </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0374236 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1097-0142 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220008543X%22">0008543X </searchLink><i>NLM ISO Abbreviation: </i>Cancer <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36401611 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/cncr.34540 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 356 Titles: – TitleFull: Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gu J – PersonEntity: Name: NameFull: Tong T – PersonEntity: Name: NameFull: Xu D – PersonEntity: Name: NameFull: Cheng F – PersonEntity: Name: NameFull: Fang C – PersonEntity: Name: NameFull: He C – PersonEntity: Name: NameFull: Wang J – PersonEntity: Name: NameFull: Wang B – PersonEntity: Name: NameFull: Yang X – PersonEntity: Name: NameFull: Wang K – PersonEntity: Name: NameFull: Tian J – PersonEntity: Name: NameFull: Jiang T IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: 2023 Feb 01 Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1097-0142 Numbering: – Type: volume Value: 129 – Type: issue Value: 3 Titles: – TitleFull: Cancer Type: main |
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