Artikel ; Online: Prognostic value of computed tomography associated body composition measurement changes in metastatic colorectal cancer patients.
Acta radiologica (Stockholm, Sweden : 1987)
2023 Band 64, Heft 11, Seite(n) 2849–2857
Abstract: Background: Sarcopenia is associated with poor prognosis in metastatic colorectal cancer (mCRC) patients.: Purpose: To investigate the prognostic value of body composition measurement changes measured by computed tomography (CT) in mCRC patients.: ... ...
Abstract | Background: Sarcopenia is associated with poor prognosis in metastatic colorectal cancer (mCRC) patients. Purpose: To investigate the prognostic value of body composition measurement changes measured by computed tomography (CT) in mCRC patients. Material and methods: The abdominal skeletal muscle density (SMD) and skeletal muscle (SMI) indices, as well as the visceral (VATI) and subcutaneous fat tissue (SATI) indices, were calculated by automatic segmentation method on the abdominal CT images obtained before (n = 71) and after chemotherapy (n = 52). Skeletal muscle gauge (SMG = SMD × SMI) was calculated. We calculated the percentage change of body composition measurements with respect to the first measurements. The cutoff value for the change in SMG was calculated by receiver operating characteristic analysis. Kaplan-Meier and Cox regression analyses were performed to calculate the prognostic value of age, gender, tumor location, metastasis site and carcinoembriogenic antigen (CEA) elevation, hypoalbuminemia, body mass index classification, presence of sarcopenia and SMG changes in terms of overall survival. Results: There was a significant association between SMG change and mortality ( Conclusion: In mCRC patients, hypoalbuminemia and highly decreased SMG are significant prognostic factors for overall survival. Therefore, we suggest that the change in SMG calculated in follow-up images should also be evaluated in the prognosis estimation of this patient group. |
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Mesh-Begriff(e) | Humans ; Prognosis ; Sarcopenia/diagnostic imaging ; Sarcopenia/pathology ; Hypoalbuminemia/pathology ; Tomography, X-Ray Computed/methods ; Muscle, Skeletal/diagnostic imaging ; Muscle, Skeletal/pathology ; Body Composition ; Rectal Neoplasms/pathology ; Retrospective Studies |
Sprache | Englisch |
Erscheinungsdatum | 2023-09-03 |
Erscheinungsland | England |
Dokumenttyp | Journal Article |
ZDB-ID | 105-3 |
ISSN | 1600-0455 ; 0284-1851 ; 0349-652X |
ISSN (online) | 1600-0455 |
ISSN | 0284-1851 ; 0349-652X |
DOI | 10.1177/02841851231198345 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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