Robert J Korst1, Sumudinie Fernando2, Ann Christine Catlin2, John R Rutledge3, Nicolas Girard4, James Huang5, Frank Detterbeck6. 1. Department of Thoracic Surgery, Mount Sinai Health System, Icahn School of Medicine at Mount Sinai, New York, New York; Valley/Mount Sinai Comprehensive Cancer Care, Paramus, New Jersey. Electronic address: korsro@valleyhealth.com. 2. Rosen Center for Advanced Computing, Purdue University, West Lafayette, Indiana. 3. Valley/Mount Sinai Comprehensive Cancer Care, Paramus, New Jersey. 4. Department of Respiratory Medicine, Thoracic Oncology, Institute of Oncology, Louis Pradel Hospital, Hospices Civils de Lyon Cancer Institute, Lyon, France. 5. Department of Thoracic Surgery, Memorial Sloan-Kettering Cancer Center, New York, New York. 6. Department of Thoracic Surgery, Yale University, New Haven, Connecticut.
Abstract
BACKGROUND: Positron emission tomography may have a role in the pretreatment workup of patients with thymic malignancies. This study was undertaken to determine the utility of the maximum standardized uptake value (SUVmax) in predicting histologic type and tumor stage in a large cohort of thymic epithelial tumors. METHODS: The large, multiinstitutional, prospective database of The International Thymic Malignancy Interest Group (ITMIG) was queried for the use of positron emission tomography in the pretreatment workup of patients with thymic tumors. Data analyzed included demographics, SUVmax, histologic tumor type, and tumor stage. The distribution of SUVmax according to histologic type and Masaoka-Koga pathologic stage was determined, and the ability of SUVmax to predict these two variables was calculated using analysis of receiver operating characteristic curves. RESULTS: Since 2012, data from 926 patients with thymic malignancies were entered into the ITMIG prospective database, of which 154 had a reported value for SUVmax. The area under the receiver operating characteristic curve for SUVmax in predicting histologic type and pathologic stage was 0.79 (95% confidence interval, 0.70 to 0.88; p < 0.001) and 0.81 (95% confidence interval, 0.73 to 0.88; p < 0.001), respectively. In addition, there was a significant relationship between SUVmax and histologic type (p < 0.001) as well as Masaoka-Koga pathologic stage (p < 0.001). CONCLUSIONS: Positron emission tomography has utility in predicting clinicopathologic features of thymic malignancies. These results may have clinical application in the pretreatment workup of patients with these rare tumors.
BACKGROUND: Positron emission tomography may have a role in the pretreatment workup of patients with thymic malignancies. This study was undertaken to determine the utility of the maximum standardized uptake value (SUVmax) in predicting histologic type and tumor stage in a large cohort of thymic epithelial tumors. METHODS: The large, multiinstitutional, prospective database of The International Thymic Malignancy Interest Group (ITMIG) was queried for the use of positron emission tomography in the pretreatment workup of patients with thymic tumors. Data analyzed included demographics, SUVmax, histologic tumor type, and tumor stage. The distribution of SUVmax according to histologic type and Masaoka-Koga pathologic stage was determined, and the ability of SUVmax to predict these two variables was calculated using analysis of receiver operating characteristic curves. RESULTS: Since 2012, data from 926 patients with thymic malignancies were entered into the ITMIG prospective database, of which 154 had a reported value for SUVmax. The area under the receiver operating characteristic curve for SUVmax in predicting histologic type and pathologic stage was 0.79 (95% confidence interval, 0.70 to 0.88; p < 0.001) and 0.81 (95% confidence interval, 0.73 to 0.88; p < 0.001), respectively. In addition, there was a significant relationship between SUVmax and histologic type (p < 0.001) as well as Masaoka-Koga pathologic stage (p < 0.001). CONCLUSIONS: Positron emission tomography has utility in predicting clinicopathologic features of thymic malignancies. These results may have clinical application in the pretreatment workup of patients with these rare tumors.
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