{"created":"2023-05-15T15:01:07.942427+00:00","id":82932,"links":{},"metadata":{"_buckets":{"deposit":"6bfaffdc-06da-4ee1-900f-3519bcc62463"},"_deposit":{"created_by":1,"id":"82932","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"82932"},"status":"published"},"_oai":{"id":"oai:repo.qst.go.jp:00082932","sets":["10:28"]},"author_link":["994319","994313","994314","994312","994315","994308","994309","994317","994318","994311","994310","994316"],"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.\nHowever, 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.\nMethods: 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.\nResults: The mean SUVmax of the tumor was 3.53±1.0. Univariate Cox proportional hazard regression analyses showed that SUVmax (p