{"doi":"10.1148/radiol.211582","title":"CT-based Radiogenomic Analysis of Clinical Stage I Lung                     Adenocarcinoma with Histopathologic Features and Oncologic                     Outcomes","abstract":null,"journal":"Radiology","year":2022,"id":619839,"datarank":0.6628260911694899,"base_score":4.418840607796598,"endowment":4.418840607796598,"self_citation_contribution":0.6628260911694899,"citation_network_contribution":0.0,"self_endowment_contribution":0.6628260911694899,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":82,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":10,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":545680,"name":"José de Arimateia Batista Araújo-Filho","orcid":"0000-0002-8627-3661","position":1,"is_corresponding":false},{"id":253862,"name":"James G. Connolly","orcid":"0000-0002-8742-103X","position":2,"is_corresponding":false},{"id":256770,"name":"Raul Caso","orcid":null,"position":3,"is_corresponding":false},{"id":704740,"name":"Karissa Whiting","orcid":"0000-0002-4683-1868","position":4,"is_corresponding":false},{"id":253858,"name":"Kay See Tan","orcid":"0000-0001-9757-1325","position":5,"is_corresponding":false},{"id":88515,"name":"Jian Zhou","orcid":"0000-0002-9917-5622","position":6,"is_corresponding":false},{"id":254404,"name":"Peter Gibbs","orcid":"0000-0002-5754-7352","position":7,"is_corresponding":false},{"id":15544,"name":"Natasha Rekhtman","orcid":"0000-0001-5801-3144","position":8,"is_corresponding":false},{"id":311785,"name":"Michelle S. Ginsberg","orcid":"0000-0003-0304-110X","position":9,"is_corresponding":false},{"id":253867,"name":"David R. Jones","orcid":"0000-0002-3318-0146","position":10,"is_corresponding":false},{"id":380963,"name":"Rocío Pérez-Johnston","orcid":"0000-0001-9063-2615","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"CT-based Radiogenomic Analysis of Clinical Stage I Lung                     Adenocarcinoma with Histopathologic Features and Oncologic                     Outcomes","abstract":"Background A preoperative predictive model is needed that can be used to identify patients with lung adenocarcinoma (LUAD) who have a higher risk of recurrence or metastasis. Purpose To investigate associations between CT-based radiomic consensus clustering of stage I LUAD and clinical-pathologic features, genomic data, and patient outcomes. Materials and Methods Patients who underwent complete surgical resection for LUAD from April 2014 to December 2017 with preoperative CT and next-generation sequencing data were retrospectively identified. Comprehensive radiomic analysis was performed on preoperative CT images; tumors were classified as solid, ground glass, or mixed. Patients were clustered into groups based on their radiomics features using consensus clustering, and clusters were compared with tumor genomic alterations, histopathologic features, and recurrence-specific survival (Kruskal-Wallis test for continuous data, χ<sup>2</sup> or Fisher exact test for categorical data, and log-rank test for recurrence-specific survival). Cluster analysis was performed on the entire cohort and on the solid, ground-glass, and mixed lesion subgroups. Results In total, 219 patients were included in the study (median age, 68 years; interquartile range, 63-74 years; 150 [68%] women). Four radiomic clusters were identified. Cluster 1 was associated with lepidic, acinar, and papillary subtypes (76 of 90 [84%]); clusters 2 (13 of 50 [26%]) and 4 (13 of 45 [29%]) were associated with solid and micropapillary subtypes (<i>P</i> < .001). The <i>EGFR</i> alterations were highest in cluster 1 (38 of 90 [42%], <i>P</i> = .004). Clusters 2, 3, and 4 were associated with lymphovascular invasion (19 of 50 [38%], 14 of 34 [41%], and 28 of 45 [62%], respectively; <i>P</i> < .001) and tumor spread through air spaces (32 of 50 [64%], 21 of 34 [62%], and 31 of 45 [69%], respectively; <i>P</i> < .001). <i>STK11</i> alterations (14 of 45 [31%]; <i>P</i> = .006), phosphoinositide 3-kinase pathway alterations (22 of 45 [49%], <i>P</i> < .001), and risk of recurrence (log-rank <i>P</i> < .001) were highest in cluster 4. Conclusion CT-based radiomic consensus clustering enabled identification of associations between radiomic features and clinicalpathologic and genomic features and outcomes in patients with clinical stage I lung adenocarcinoma. © RSNA, 2022 <i>Online supplemental material is available for this article.</i> See also the editorial by Nishino in this issue.","is_dataset_classified":null,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"datacite_reuse_total":10,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"35230187","pmcid":"PMC9131171","openalex_id":"https://openalex.org/W35230187","authors":[],"funders":[{"funder_name":"National Cancer Institute","grant_id":"P30 CA008748","title":null},{"funder_name":"National Cancer Institute","grant_id":"T32CA009501","title":null},{"funder_name":"National Cancer Institute","grant_id":"R01CA217169","title":null},{"funder_name":"National Cancer Institute","grant_id":"R01CA240472","title":null},{"funder_name":"National Institutes of Health","grant_id":"2P30CA008748-43","title":"MOUSE GENETICS"},{"funder_name":"National Institutes of Health","grant_id":"5T32CA009501-22","title":"SURGICAL ONCOLOGY RESEARCH TRAINING GRANT"},{"funder_name":"National Institutes of Health","grant_id":"1R01CA240472-01","title":"Targeting SNP BRMS1v2 A273V/A273V to reduce metastases in lung adenocarcinoma"},{"funder_name":"National Institutes of Health","grant_id":"5R01CA217169-04","title":"BRMS1-mediated suppression of metastases in p53 mutant lung adenocarcinoma"}],"total_grants":8,"fwci":0.0,"citation_percentile":0.01029975,"influential_citations":0,"citation_trend":[],"oa_status":"green","license":null,"oa_locations":[{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9131171","host_type":"repository"},{"url":"http://pubs.rsna.org/doi/pdf/10.1148/radiol.211582","host_type":"publisher"},{"url":"https://dblp.uni-trier.de/db/conf/siguccs/siguccs1999.html#Axlerod99","host_type":"conference"},{"url":"https://doi.org/10.1148/radiol.211582","host_type":""},{"url":"https://pubmed.ncbi.nlm.nih.gov/35230187","host_type":""}],"fields_of_study":["Historical Studies and Socio-cultural Analysis","03 medical and health sciences","0302 clinical medicine","Adenocarcinoma of Lung","Aged","Female","Humans","Lung Neoplasms","Male","Middle Aged","Phosphatidylinositol 3-Kinases","Retrospective Studies","Tomography, X-Ray Computed"],"mesh_terms":["Humans","Lung Neoplasms","Tomography, X-Ray Computed","Retrospective Studies","Aged","Middle 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