{"created":"2023-05-15T15:01:22.132985+00:00","id":83253,"links":{},"metadata":{"_buckets":{"deposit":"77cb8f1a-1ec8-4b15-93ee-027447136926"},"_deposit":{"created_by":1,"id":"83253","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"83253"},"status":"published"},"_oai":{"id":"oai:repo.qst.go.jp:00083253","sets":["10:28"]},"author_link":["998217","998218","998216","998214","998213","998211","998212","998215"],"item_10005_date_7":{"attribute_name":"発表年月日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2021-06-11","subitem_date_issued_type":"Issued"}]},"item_10005_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Objectives: Lung cancer is one of the most prevalent cancers worldwide, and non-small cell lung cancer (NSCLC) accounts for about 85-90% of all lung tumor types. Carbon ion radiation therapy (CIRT) has achieved outcomes comparable to surgery due to its excellent dose-concentration and high biological effectiveness. However, two-year progression-free survival of patients treated with CIRT for locally advanced lung cancer is reported as 40%. C11-methionine (MET) is an amino acid radiotracer known to show tumor-specific accumulation and MET-PET/CT imaging is useful in evaluating lung tumors. However, the correlation between MET-PET/CT imaging biomarkers and prognosis in NSCLC patients is still unknown. The aim of this study was to investigate the predictive values of MET-PET/CT in patients treated with CIRT for NSCLC.Methods: Sixty consecutive patients (36 males and 24 females; mean age 73.3y; range 51-89y) with locally advanced NSCLC who underwent MET-PET/CT prior to CIRT between 2007 and 2012 were enrolled. Patients were treated with 40-50 Gy of CIRT. The mean follow-up period was 77.3 months. For quantitative analysis of PET image data, metabolic tumor volume was obtained with a threshold of standardized sptake value (SUV) greater than 1.5. Tumor contouring on MET-PET/CT image was determined by a consensus of two board-certified diagnostic radiologists. Univariate and Multivariate Cox proportional hazard regression analyses and Kaplan-Meir analyses were performed to assess the predictive value for disease-free survival (DFS) among a diameter of solid tumor component (Solid-Diameter), SUVmax, Metabolic Tumor Volume (MTV), Total Lesion Metabolism of the amino acid (TLM), and clinical factors. Statistical analyses were calculated with SPSS statistical software, version 26 with P values of less than 0.05 considered statistically significant.Results: The mean SUVmax of the tumor was 3.53±1.0. Univariate Cox proportional hazard regression analyses showed that SUVmax (p<0.05, HR 3.22 95% CI 1.21-8.56), MTV (p<0.005, HR 4.45, 95% CI 1.78-11.2), and TLM (p<0.005, HR 0.249, 95% CI 0.10-0.62) were significant prognostic factors for DFS. While, the Solid-Diameter, age, sex, and the treatment radiation dose were not significant prognostic factors for DFS. After checking multicollinearity, multivariate Cox hazard analysis was performed with five elements: Solid-Diameter, SUVmax, MTV, age, and sex. MTV was revealed to be the only independent prognostic factor (p<0.05, HR 0.257, 95% CI 0.072-0.923). Kaplan-Meier analysis of MTV demonstrated that patients with MTV lower than 6ml had longer DFS (p<0.001).Conclusions: Metabolic Tumor Volume (thresholds of SUV 1.5) in MET-PET/CT would be a useful predictor of disease-free survival of NSCLC treated with CIRT.","subitem_description_type":"Abstract"}]},"item_10005_description_6":{"attribute_name":"会議概要（会議名, 開催地, 会期, 主催者等）","attribute_value_mlt":[{"subitem_description":"SNMMI 2021","subitem_description_type":"Other"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"metadata only access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_14cb"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kentaro, Tamura"}],"nameIdentifiers":[{"nameIdentifier":"998211","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Ryuichi, Nishii"}],"nameIdentifiers":[{"nameIdentifier":"998212","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Tatsuya, Higashi"}],"nameIdentifiers":[{"nameIdentifier":"998213","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Kana, Yamazaki"}],"nameIdentifiers":[{"nameIdentifier":"998214","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Kentaro, Tamura","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"998215","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Ryuichi, Nishii","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"998216","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Tatsuya, Higashi","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"998217","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Kana, Yamazaki","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"998218","nameIdentifierScheme":"WEKO"}]}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"conference object","resourceuri":"http://purl.org/coar/resource_type/c_c94f"}]},"item_title":"SNMMI 2021","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"SNMMI 2021"}]},"item_type_id":"10005","owner":"1","path":["28"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-08-31"},"publish_date":"2021-08-31","publish_status":"0","recid":"83253","relation_version_is_last":true,"title":["SNMMI 2021"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-05-15T19:49:54.976245+00:00"}