{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T11:00:04Z","timestamp":1790852404497,"version":"4.1.0"},"reference-count":28,"publisher":"Elsevier BV","issue":"10","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["academicradiology.org","clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Academic Radiology"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.acra.2026.07.008","type":"journal-article","created":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T11:27:04Z","timestamp":1784978824000},"page":"4647-4658","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Fusion-based Radiomics Approach Combining Tumor, Peritumoral, and Habitat Features for Predicting Visceral Pleural Invasion in Stage IA Lung Adenocarcinoma"],"prefix":"10.1016","volume":"33","author":[{"given":"Zhenjing","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xueyao","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaihua","family":"Lou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinjing","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guodong","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feng","family":"Ren","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongjie","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haibo","family":"Dong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-8860-3568","authenticated-orcid":false,"given":"Shaoyu","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.acra.2026.07.008_bib1","first-page":"229","article-title":"Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries","volume":"74","author":"Bray","year":"2024","journal-title":"CA Cancer J Clin"},{"issue":"10299","key":"10.1016\/j.acra.2026.07.008_bib2","doi-asserted-by":"crossref","DOI":"10.1016\/S0140-6736(21)00312-3","article-title":"Lung cancer","volume":"398","author":"Thai","year":"2021","journal-title":"Lancet"},{"issue":"4","key":"10.1016\/j.acra.2026.07.008_bib3","doi-asserted-by":"crossref","DOI":"10.1016\/S2213-2600(21)00560-9","article-title":"One-off low-dose CT for lung cancer screening in China: a multicentre, population-based, prospective cohort study","volume":"10","author":"Li","year":"2022","journal-title":"Lancet Respir Med"},{"key":"10.1016\/j.acra.2026.07.008_bib4","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.jtho.2015.09.009","article-title":"The IASLC lung cancer staging project: proposals for revision of the TNM stage groupings in the forthcoming (eighth) edition of the TNM classification for lung cancer","volume":"11","author":"Goldstraw","year":"2016","journal-title":"J Thorac Oncol"},{"key":"10.1016\/j.acra.2026.07.008_bib5","doi-asserted-by":"crossref","DOI":"10.1016\/j.crad.2024.10.010","article-title":"Peritumoral and intratumoral radiomics for predicting visceral pleural invasion in lung adenocarcinoma based on preoperative computed tomography (CT)","volume":"80","author":"Zuo","year":"2025","journal-title":"Clin Radiol"},{"issue":"1","key":"10.1016\/j.acra.2026.07.008_bib6","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1111\/1759-7714.15151","article-title":"Predicting visceral pleural invasion in lung adenocarcinoma presenting as part-solid density utilizing a nomogram model combined with radiomics and clinical features","volume":"15","author":"Wang","year":"2024","journal-title":"Thorac Cancer"},{"issue":"12","key":"10.1016\/j.acra.2026.07.008_bib7","doi-asserted-by":"crossref","first-page":"12100","DOI":"10.21037\/qims-2024-2890","article-title":"An interpretable machine learning model for predicting visceral pleural invasion in cT1 lung adenocarcinoma based on habitat analysis","volume":"15","author":"Gan","year":"2025","journal-title":"Quant Imaging Med Surg"},{"issue":"24","key":"10.1016\/j.acra.2026.07.008_bib8","doi-asserted-by":"crossref","first-page":"4001","DOI":"10.3390\/cancers17244001","article-title":"Tumoral and peritumoral radiomics for preoperative prediction of visceral pleural invasion in lung adenocarcinoma","volume":"17","author":"Gallina","year":"2025","journal-title":"Cancers"},{"issue":"7","key":"10.1016\/j.acra.2026.07.008_bib9","doi-asserted-by":"crossref","first-page":"1707","DOI":"10.3390\/cancers12071707","article-title":"Multi-habitat radiomics unravels distinct phenotypic subtypes of glioblastoma with clinical and genomic significance","volume":"12","author":"Choi","year":"2020","journal-title":"Cancers"},{"issue":"1","key":"10.1016\/j.acra.2026.07.008_bib10","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1148\/radiol.210518","article-title":"Emerging and evolving concepts in cancer immunotherapy imaging","volume":"306","author":"Dercle","year":"2023","journal-title":"Radiology"},{"key":"10.1016\/j.acra.2026.07.008_bib11","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/j.ebiom.2019.05.023","article-title":"Sub-region based radiomics analysis for survival prediction in oesophageal tumours treated by definitive concurrent chemoradiotherapy","volume":"44","author":"Xie","year":"2019","journal-title":"EBioMedicine"},{"issue":"6","key":"10.1016\/j.acra.2026.07.008_bib12","doi-asserted-by":"crossref","DOI":"10.1148\/ryai.2020190168","article-title":"Tumor habitat-derived radiomic features at pretreatment MRI that are prognostic for progression-free survival in glioblastoma are associated with key morphologic attributes at histopathologic examination: a feasibility study","volume":"2","author":"Verma","year":"2020","journal-title":"Radiol Artif Intell"},{"issue":"1","key":"10.1016\/j.acra.2026.07.008_bib13","article-title":"MRI-based quantification of intratumoral heterogeneity for predicting treatment response to neoadjuvant chemotherapy in breast cancer","volume":"308","author":"Shi","year":"2023","journal-title":"Radiology"},{"issue":"1","key":"10.1016\/j.acra.2026.07.008_bib14","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1186\/s40644-024-00758-9","article-title":"MRI-based habitat imaging in cancer treatment: current technology, applications, and challenges","volume":"24","author":"Li","year":"2024","journal-title":"Cancer Imaging"},{"key":"10.1016\/j.acra.2026.07.008_bib15","doi-asserted-by":"crossref","DOI":"10.1155\/2022\/9623173","article-title":"Habitat analysis of breast cancer-enhanced MRI reflects BRCA1 mutation determined by immunohistochemistry","volume":"2022","author":"Du","year":"2022","journal-title":"Biomed Res Int"},{"issue":"10","key":"10.1016\/j.acra.2026.07.008_bib16","doi-asserted-by":"crossref","first-page":"6307","DOI":"10.1016\/j.acra.2025.07.035","article-title":"Comparing habitat, radiomics, and fusion models for predicting micropapillary\/solid components in stage I lung adenocarcinoma","volume":"32","author":"Huang","year":"2025","journal-title":"Acad Radiol"},{"issue":"9","key":"10.1016\/j.acra.2026.07.008_bib17","doi-asserted-by":"crossref","first-page":"1433","DOI":"10.1016\/j.jtho.2016.06.028","article-title":"The IASLC lung cancer staging project: methodology and validation used in the development of proposals for revision of the stage classification of NSCLC in the forthcoming (eighth) edition of the TNM classification of lung cancer","volume":"11","author":"Detterbeck","year":"2016","journal-title":"J Thorac Oncol"},{"issue":"12","key":"10.1016\/j.acra.2026.07.008_bib18","doi-asserted-by":"crossref","first-page":"1483","DOI":"10.1007\/s11547-023-01722-6","article-title":"Computed tomography-derived intratumoral and peritumoral radiomics in predicting EGFR mutation in lung adenocarcinoma","volume":"128","author":"Shang","year":"2023","journal-title":"Radiol Med"},{"issue":"4","key":"10.1016\/j.acra.2026.07.008_bib19","doi-asserted-by":"crossref","DOI":"10.2214\/AJR.24.31675","article-title":"Habitat imaging with tumoral and peritumoral radiomics for prediction of lung adenocarcinoma invasiveness on preoperative chest CT: a multicenter study","volume":"223","author":"Shang","year":"2024","journal-title":"AJR Am J Roentgenol"},{"issue":"1","key":"10.1016\/j.acra.2026.07.008_bib20","doi-asserted-by":"crossref","first-page":"765","DOI":"10.1038\/s41746-025-02144-6","article-title":"A representation fusion framework for decoupling diagnostic information in multimodal learning","volume":"8","author":"Tonekaboni","year":"2025","journal-title":"NPJ Digit Med"},{"issue":"1","key":"10.1016\/j.acra.2026.07.008_bib21","doi-asserted-by":"crossref","DOI":"10.1148\/radiol.231611","article-title":"CT predictors of visceral pleural invasion in patients with non-small cell lung cancers 30 mm or smaller","volume":"310","author":"Sun","year":"2024","journal-title":"Radiology"},{"issue":"1","key":"10.1016\/j.acra.2026.07.008_bib22","article-title":"Deep learning and radiomics fusion for predicting the invasiveness of lung adenocarcinoma within ground glass nodules","volume":"15","author":"Sun","year":"2025","journal-title":"Sci Rep"},{"issue":"1","key":"10.1016\/j.acra.2026.07.008_bib23","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1186\/s13019-025-03488-6","article-title":"Deep learning radiomics fusion model to predict visceral pleural invasion of clinical stage IA lung adenocarcinoma: a multicenter study","volume":"20","author":"Zhao","year":"2025","journal-title":"J Cardiothorac Surg"},{"key":"10.1016\/j.acra.2026.07.008_bib24","doi-asserted-by":"crossref","DOI":"10.1016\/j.ejrad.2025.112227","article-title":"Nomogram based on radiomics and CT features for predicting visceral pleural invasion of invasive adenocarcinoma \u22642 cm: a multicenter study","volume":"190","author":"Huang","year":"2025","journal-title":"Eur J Radiol"},{"issue":"5","key":"10.1016\/j.acra.2026.07.008_bib25","doi-asserted-by":"crossref","first-page":"1596","DOI":"10.21037\/tlcr-2024-1122","article-title":"Attention mechanism-based habitat analysis for predicting pleural invasion and prognosis of pulmonary nodules","volume":"14","author":"Zhang","year":"2025","journal-title":"Transl Lung Cancer Res"},{"issue":"1","key":"10.1016\/j.acra.2026.07.008_bib26","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-022-22514-4","article-title":"Artificial intelligence-based methods for fusion of electronic health records and imaging data","volume":"12","author":"Mohsen","year":"2022","journal-title":"Sci Rep"},{"issue":"1","key":"10.1016\/j.acra.2026.07.008_bib27","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-020-77296-4","article-title":"Selecting the most important self-assessed features for predicting conversion to mild cognitive impairment with random forest and permutation-based methods","volume":"10","author":"G\u00f3mez-Ram\u00edrez","year":"2020","journal-title":"Sci Rep"},{"issue":"1","key":"10.1016\/j.acra.2026.07.008_bib28","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-021-03441-2","article-title":"Efficient detection of aortic stenosis using morphological characteristics of cardiomechanical signals and heart rate variability parameters","volume":"11","author":"Shokouhmand","year":"2021","journal-title":"Sci Rep"}],"container-title":["Academic Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1076633226005155?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1076633226005155?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T10:48:50Z","timestamp":1790851730000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1076633226005155"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":28,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2026,10]]}},"alternative-id":["S1076633226005155"],"URL":"https:\/\/doi.org\/10.1016\/j.acra.2026.07.008","relation":{},"ISSN":["1076-6332"],"issn-type":[{"value":"1076-6332","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A Fusion-based Radiomics Approach Combining Tumor, Peritumoral, and Habitat Features for Predicting Visceral Pleural Invasion in Stage IA Lung Adenocarcinoma","name":"articletitle","label":"Article Title"},{"value":"Academic Radiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.acra.2026.07.008","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Association of Academic Radiology. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}]}}