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CT Volumetry and Basic Texture Analysis as Surrogate Markers in Advanced Non-small-cell Lung Cancer.

Authors :
Owen, Benjamin
Owen, Benjamin
Gandara, David
Kelly, Karen
Moore, Elizabeth
Shelton, David
Knollmann, Friedrich
Owen, Benjamin
Owen, Benjamin
Gandara, David
Kelly, Karen
Moore, Elizabeth
Shelton, David
Knollmann, Friedrich
Source :
Clinical lung cancer; vol 21, iss 3, 225-231; 1525-7304
Publication Year :
2020

Abstract

IntroductionWe evaluated volumetric tumor measurements and computed tomography texture analysis as prognostic indicators in patients with advanced non-small-cell lung cancer when compared with the unidimensional tumor size measurements used in Response Evaluation Criteria in Solid Tumors (RECIST).Patients and methodsIn a retrospective review, computed tomography examinations in 77 patients with advanced non-small-cell lung cancer were evaluated before and after 2 cycles of chemotherapy. Baseline and changes in tumor diameter, volume, and texture were analyzed. Survival was analyzed with Cox regression analysis and Kaplan-Meier survival statistics.ResultsCox regression analysis demonstrated that only change in tumor volume (exp(B) = 1.006; P = .02) and the initial sum of the largest target lesion diameters predicted survival (exp(B) = 1.013; P = .02). Kaplan-Meier statistics demonstrated that patients with an initial sum of the largest target lesion diameters less than 88 mm had median survival time of 587 days (95% confidence interval [CI], 269-905 days), compared with the survival of those with larger tumor burden of 407 days (95% CI, 235-579 days). Patients in whom tumor volume decreased by more than 29% had a median survival time of 622 days (95% CI, 448-796 days), compared with 305 days for those with less decrease (95% CI, 34-240 days).ConclusionThis study demonstrates that change in lung tumor volume is a better marker of patient survival than change of unidimensional diameter measurements in our cohort. If confirmed in larger studies, this suggests that volumetry might improve clinical decision-making for individual patients and allow for faster assessment of new treatments.

Details

Database :
OAIster
Journal :
Clinical lung cancer; vol 21, iss 3, 225-231; 1525-7304
Notes :
application/pdf, Clinical lung cancer vol 21, iss 3, 225-231 1525-7304
Publication Type :
Electronic Resource
Accession number :
edsoai.on1367509969
Document Type :
Electronic Resource