A machine learning radiomics based on enhanced computed tomography to predict neoadjuvant immunotherapy for resectable esophageal squamous cell carcinoma.
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| Title: | A machine learning radiomics based on enhanced computed tomography to predict neoadjuvant immunotherapy for resectable esophageal squamous cell carcinoma. |
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| Authors: | Wang JL; Department of Biotherapy, Cancer Center, West China Hospital of Sichuan University, Chengdu, China.; West China School of Medicine, Sichuan University, Chengdu, China., Tang LS; Department of Biotherapy, Cancer Center, West China Hospital of Sichuan University, Chengdu, China.; West China School of Medicine, Sichuan University, Chengdu, China., Zhong X; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China., Wang Y; West China School of Medicine, Sichuan University, Chengdu, China., Feng YJ; West China School of Medicine, Sichuan University, Chengdu, China., Zhang Y; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China., Liu JY; Department of Biotherapy, Cancer Center, West China Hospital of Sichuan University, Chengdu, China. |
| Source: | Frontiers in immunology [Front Immunol] 2024 Jun 14; Vol. 15, pp. 1405146. Date of Electronic Publication: 2024 Jun 14 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38947338 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A machine learning radiomics based on enhanced computed tomography to predict neoadjuvant immunotherapy for resectable esophageal squamous cell carcinoma. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Wang+JL%22">Wang JL</searchLink>; Department of Biotherapy, Cancer Center, West China Hospital of Sichuan University, Chengdu, China.; West China School of Medicine, Sichuan University, Chengdu, China.<br /><searchLink fieldCode="AU" term="%22Tang+LS%22">Tang LS</searchLink>; Department of Biotherapy, Cancer Center, West China Hospital of Sichuan University, Chengdu, China.; West China School of Medicine, Sichuan University, Chengdu, China.<br /><searchLink fieldCode="AU" term="%22Zhong+X%22">Zhong X</searchLink>; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.<br /><searchLink fieldCode="AU" term="%22Wang+Y%22">Wang Y</searchLink>; West China School of Medicine, Sichuan University, Chengdu, China.<br /><searchLink fieldCode="AU" term="%22Feng+YJ%22">Feng YJ</searchLink>; West China School of Medicine, Sichuan University, Chengdu, China.<br /><searchLink fieldCode="AU" term="%22Zhang+Y%22">Zhang Y</searchLink>; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.<br /><searchLink fieldCode="AU" term="%22Liu+JY%22">Liu JY</searchLink>; Department of Biotherapy, Cancer Center, West China Hospital of Sichuan University, Chengdu, China. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101560960%22">Frontiers in immunology</searchLink> [Front Immunol] 2024 Jun 14; Vol. 15, pp. 1405146. <i>Date of Electronic Publication: </i>2024 Jun 14 (<i>Print Publication: </i>2024). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Research+Foundation]%22">Frontiers Research Foundation] </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101560960 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1664-3224 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216643224%22">16643224 </searchLink><i>NLM ISO Abbreviation: </i>Front Immunol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38947338 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fimmu.2024.1405146 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1405146 Titles: – TitleFull: A machine learning radiomics based on enhanced computed tomography to predict neoadjuvant immunotherapy for resectable esophageal squamous cell carcinoma. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang JL – PersonEntity: Name: NameFull: Tang LS – PersonEntity: Name: NameFull: Zhong X – PersonEntity: Name: NameFull: Wang Y – PersonEntity: Name: NameFull: Feng YJ – PersonEntity: Name: NameFull: Zhang Y – PersonEntity: Name: NameFull: Liu JY IsPartOfRelationships: – BibEntity: Dates: – D: 14 M: 06 Text: 2024 Jun 14 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1664-3224 Numbering: – Type: volume Value: 15 Titles: – TitleFull: Frontiers in immunology Type: main |
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