A deep learning-clinical combined model with SHapley Additive exPlanations (SHAP) method for assessing the tumor spread through air spaces in lung adenocarcinoma: a multicohort retrospective study.
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| Title: | A deep learning-clinical combined model with SHapley Additive exPlanations (SHAP) method for assessing the tumor spread through air spaces in lung adenocarcinoma: a multicohort retrospective study. |
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| Authors: | Zhang R; Department of Radiology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, China., Sun JS; Department of Radiology, Lecong Hospital of Shunde, Foshan, China., Liu ZW; Department of Radiology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, China., Lin YY; Department of Radiology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, China., Cai XY; Department of Science and Education, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, China., Kang LJ; Department of Radiology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, China., Guo BL; Department of Radiology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, China., Song YX; School of Medicine, South China University of Technology, Guangzhou, China., Bao CZ; Department of Radiology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, China., Chen K; Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha, China., Sun Y; Department of Radiology, Chenzhou First People's Hospital, Chenzhou, China., Chen YF; Department of Radiology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, China., Cai ZP; Department of Radiology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, China., Xie H; Department of Radiology, Lecong Hospital of Shunde, Foshan, China., Chen HX; Department of Radiology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, China., Yang SM; Department of Radiology, Xingtan Hospital Affiliated to Shunde Hospital of Southern Medical University, Foshan, China., Hu QG; Department of Radiology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, China. |
| Source: | Quantitative imaging in medicine and surgery [Quant Imaging Med Surg] 2025 Oct 01; Vol. 15 (10), pp. 8833-8849. Date of Electronic Publication: 2025 Sep 11. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: AME Pub Country of Publication: China NLM ID: 101577942 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2223-4292 (Print) Linking ISSN: 22234306 NLM ISO Abbreviation: Quant Imaging Med Surg Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41081187 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A deep learning-clinical combined model with SHapley Additive exPlanations (SHAP) method for assessing the tumor spread through air spaces in lung adenocarcinoma: a multicohort retrospective study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zhang+R%22">Zhang R</searchLink>; Department of Radiology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, China.<br /><searchLink fieldCode="AU" term="%22Sun+JS%22">Sun JS</searchLink>; Department of Radiology, Lecong Hospital of Shunde, Foshan, China.<br /><searchLink fieldCode="AU" term="%22Liu+ZW%22">Liu ZW</searchLink>; Department of Radiology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, China.<br /><searchLink fieldCode="AU" term="%22Lin+YY%22">Lin YY</searchLink>; Department of Radiology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, China.<br /><searchLink fieldCode="AU" term="%22Cai+XY%22">Cai XY</searchLink>; Department of Science and Education, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, China.<br /><searchLink fieldCode="AU" term="%22Kang+LJ%22">Kang LJ</searchLink>; Department of Radiology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, China.<br /><searchLink fieldCode="AU" term="%22Guo+BL%22">Guo BL</searchLink>; Department of Radiology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, China.<br /><searchLink fieldCode="AU" term="%22Song+YX%22">Song YX</searchLink>; School of Medicine, South China University of Technology, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Bao+CZ%22">Bao CZ</searchLink>; Department of Radiology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, China.<br /><searchLink fieldCode="AU" term="%22Chen+K%22">Chen K</searchLink>; Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha, China.<br /><searchLink fieldCode="AU" term="%22Sun+Y%22">Sun Y</searchLink>; Department of Radiology, Chenzhou First People's Hospital, Chenzhou, China.<br /><searchLink fieldCode="AU" term="%22Chen+YF%22">Chen YF</searchLink>; Department of Radiology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, China.<br /><searchLink fieldCode="AU" term="%22Cai+ZP%22">Cai ZP</searchLink>; Department of Radiology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, China.<br /><searchLink fieldCode="AU" term="%22Xie+H%22">Xie H</searchLink>; Department of Radiology, Lecong Hospital of Shunde, Foshan, China.<br /><searchLink fieldCode="AU" term="%22Chen+HX%22">Chen HX</searchLink>; Department of Radiology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, China.<br /><searchLink fieldCode="AU" term="%22Yang+SM%22">Yang SM</searchLink>; Department of Radiology, Xingtan Hospital Affiliated to Shunde Hospital of Southern Medical University, Foshan, China.<br /><searchLink fieldCode="AU" term="%22Hu+QG%22">Hu QG</searchLink>; Department of Radiology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, China. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101577942%22">Quantitative imaging in medicine and surgery</searchLink> [Quant Imaging Med Surg] 2025 Oct 01; Vol. 15 (10), pp. 8833-8849. <i>Date of Electronic Publication: </i>2025 Sep 11. – 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="%22AME+Pub%22">AME Pub </searchLink><i>Country of Publication: </i>China <i>NLM ID: </i>101577942 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2223-4292 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222234306%22">22234306 </searchLink><i>NLM ISO Abbreviation: </i>Quant Imaging Med Surg <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41081187 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.21037/qims-2025-887 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 8833 Titles: – TitleFull: A deep learning-clinical combined model with SHapley Additive exPlanations (SHAP) method for assessing the tumor spread through air spaces in lung adenocarcinoma: a multicohort retrospective study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang R – PersonEntity: Name: NameFull: Sun JS – PersonEntity: Name: NameFull: Liu ZW – PersonEntity: Name: NameFull: Lin YY – PersonEntity: Name: NameFull: Cai XY – PersonEntity: Name: NameFull: Kang LJ – PersonEntity: Name: NameFull: Guo BL – PersonEntity: Name: NameFull: Song YX – PersonEntity: Name: NameFull: Bao CZ – PersonEntity: Name: NameFull: Chen K – PersonEntity: Name: NameFull: Sun Y – PersonEntity: Name: NameFull: Chen YF – PersonEntity: Name: NameFull: Cai ZP – PersonEntity: Name: NameFull: Xie H – PersonEntity: Name: NameFull: Chen HX – PersonEntity: Name: NameFull: Yang SM – PersonEntity: Name: NameFull: Hu QG IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: 2025 Oct 01 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 2223-4292 Numbering: – Type: volume Value: 15 – Type: issue Value: 10 Titles: – TitleFull: Quantitative imaging in medicine and surgery Type: main |
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