{"doi":"10.1016/j.ejrad.2012.08.008","title":"Development of a guideline on reading CT images of malignant pleural mesothelioma and selection of the reference CT films","abstract":null,"journal":"European Journal of Radiology","year":2012,"id":639067,"datarank":0.3958585994422889,"base_score":2.639057329615259,"endowment":2.639057329615259,"self_citation_contribution":0.3958585994422889,"citation_network_contribution":0.0,"self_endowment_contribution":0.3958585994422889,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":13,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"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":1660177,"name":"Taro Tamura","orcid":null,"position":1,"is_corresponding":false},{"id":1660179,"name":"Yukinori Kusaka","orcid":null,"position":2,"is_corresponding":false},{"id":1622232,"name":"Narufumi Suganuma","orcid":null,"position":3,"is_corresponding":false},{"id":1660181,"name":"Ponglada Subhannachart","orcid":null,"position":4,"is_corresponding":false},{"id":1660183,"name":"Chomphunut Vijitsanguan","orcid":null,"position":5,"is_corresponding":false},{"id":1660185,"name":"Weeraya Noisiri","orcid":null,"position":6,"is_corresponding":false},{"id":1660186,"name":"Kurt G. Hering","orcid":null,"position":7,"is_corresponding":false},{"id":137142,"name":"Masanori Akira","orcid":null,"position":8,"is_corresponding":false},{"id":1660188,"name":"Harumi Itoh","orcid":null,"position":9,"is_corresponding":false},{"id":1660190,"name":"Hiroaki Arakawa","orcid":null,"position":10,"is_corresponding":false},{"id":53005,"name":"Yuichi Ishikawa","orcid":"0000-0002-9594-5845","position":11,"is_corresponding":false},{"id":1660191,"name":"Shinji Kumagai","orcid":null,"position":12,"is_corresponding":false},{"id":1660192,"name":"Norio Kurumatani","orcid":null,"position":13,"is_corresponding":false},{"id":1660175,"name":"Huashi Zhou","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Development of a guideline on reading CT images of malignant pleural mesothelioma and selection of the reference CT films","abstract":"<h4>Purpose</h4>International experts developed a guideline on reading CT images of malignant pleural mesothelioma for radiologists and physicians. It is intended that it act as a supplement to the current International Classification of HRCT for Occupational and Environmental Respiratory Diseases.<h4>Methods</h4>The research literatures on mesothelioma CT features were systematically reviewed. Ten mesothelioma CT features were adopted into the guideline prepared according to experts' opinion. The terminology of mesothelioma CT features and mesothelioma probability were agreed by consensus of experts. The CT reference films for each mesothelioma feature were selected based on agreement by experts from 22 definite mesothelioma cases confirmed pathologically and immunohistochemically. To support the validity of the mesothelioma probability, 4 experts' readings of CT films from 57 cases with or without mesothelioma were analyzed by kappa statistics between the experts; sensitivity and specificity for mesothelioma were also assessed.<h4>Results</h4>The mesothelioma CT Guideline was developed, providing the terminology of CT features and the mesothelioma probability, the judgement of severity, the distribution of mesothelioma, and the revised CT reading sheet including mesothelioma items. The CT reference films with ten mesothelioma typical features were selected. The average linearly and quadratically weighted kappa of the agreement on the 4-point scale mesothelioma probability were 0.58 and 0.71, respectively. The average sensitivity and specificity for mesothelioma were 93.2% and 65.6%, respectively.<h4>Conclusion</h4>The evidence-based mesothelioma CT Guideline developed may serve as a good educational tool to facilitate physicians in recognising mesothelioma and improve their proficiency in diagnosis of mesothelioma.","is_dataset_classified":null,"base_score":2.639057329615259,"endowment":2.639057329615259,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"22981348","pmcid":null,"openalex_id":"https://openalex.org/W2055532379","authors":[],"funders":[],"total_grants":0,"fwci":1.0923,"citation_percentile":0.7926934,"influential_citations":0,"citation_trend":[{"year":2012,"count":1},{"year":2013,"count":1},{"year":2015,"count":3},{"year":2016,"count":1},{"year":2019,"count":3},{"year":2021,"count":2},{"year":2023,"count":1},{"year":2024,"count":1}],"oa_status":"closed","license":"https://www.elsevier.com/tdm/userlicense/1.0/","oa_locations":[{"url":"https://api.elsevier.com/content/article/PII:S0720048X12003920?httpAccept=text/xml","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S0720048X12003920?httpAccept=text/plain","host_type":"publisher"},{"url":"https://doi.org/10.1016/j.ejrad.2012.08.008","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/22981348","host_type":"repository"}],"fields_of_study":["Occupational and environmental lung diseases","Pleural and Pulmonary Diseases","Soft tissue tumor case studies","Humans","International Classification of Diseases","Internationality","Lung Neoplasms","Medical Oncology","Mesothelioma","Mesothelioma, Malignant","Pleural Neoplasms","Practice Guidelines as Topic","Radiology","Reference Values","Tomography, X-Ray Computed"],"mesh_terms":["Mesothelioma, Malignant","Humans","Lung Neoplasms","Medical Oncology","Mesothelioma","Pleural Neoplasms","Radiology","Reference Values","Tomography, X-Ray Computed","Practice Guidelines as Topic","Internationality","International Classification of Diseases"],"keywords":["Mesothelioma","Medicine","Guideline","Radiology","Cohen's kappa","Pleural disease","Medical physics","Pathology","Internal medicine","Respiratory disease","Machine learning","Computer science","Lung"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Quality Education"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-06T22:24:11.786535Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}