Potential impact of texture analysis in contrast enhanced CT in non-small cell lung cancer as a marker of survival: A retrospective feasibility study
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Potential impact of texture analysis in contrast enhanced CT in non-small cell lung cancer as a marker of survival : A retrospective feasibility study. / Andersen, Michael Brun; Harders, Stefan Walbom; Thygesen, Jesper; Ganeshan, Balaji; Torp Madsen, Hans Henrik; Rasmussen, Finn.
I: Medicine, Bind 101, Nr. 48, E31855, 2022.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Potential impact of texture analysis in contrast enhanced CT in non-small cell lung cancer as a marker of survival
T2 - A retrospective feasibility study
AU - Andersen, Michael Brun
AU - Harders, Stefan Walbom
AU - Thygesen, Jesper
AU - Ganeshan, Balaji
AU - Torp Madsen, Hans Henrik
AU - Rasmussen, Finn
N1 - Publisher Copyright: Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc.
PY - 2022
Y1 - 2022
N2 - The objective of this feasibility study was to assess computed tomography (CT) texture analysis (CTTA) of pulmonary lesions as a predictor of overall survival in patients with suspected lung cancer on contrast-enhanced computed tomography (CECT). In a retrospective pilot study, 94 patients (52 men and 42 women; mean age, 67.2 ± 10.8 yrs) from 1 center with non-small cell lung cancer (NSCLC) underwent CTTA on the primary lesion by 2 individual readers. Both simple and multivariate Cox regression analyses correlating textural parameters with overall survival were performed. Statistically significant parameters were selected, and optimal cutoff values were determined. Kaplan-Meier plots based on these results were produced. Simple Cox regression analysis showed that normalized uniformity had a hazard ratio (HR) of 16.059 (3.861-66.788, P < .001), and skewness had an HR of 1.914 (1.330-2.754, P < .001). The optimal cutoff values for both parameters were 0.8602 and 0.1554, respectively. Normalized uniformity, clinical stage, and skewness were found to be prognostic factors for overall survival in multivariate analysis. Tumor heterogeneity, assessed by normalized uniformity and skewness on CECT may be a prognostic factor for overall survival.
AB - The objective of this feasibility study was to assess computed tomography (CT) texture analysis (CTTA) of pulmonary lesions as a predictor of overall survival in patients with suspected lung cancer on contrast-enhanced computed tomography (CECT). In a retrospective pilot study, 94 patients (52 men and 42 women; mean age, 67.2 ± 10.8 yrs) from 1 center with non-small cell lung cancer (NSCLC) underwent CTTA on the primary lesion by 2 individual readers. Both simple and multivariate Cox regression analyses correlating textural parameters with overall survival were performed. Statistically significant parameters were selected, and optimal cutoff values were determined. Kaplan-Meier plots based on these results were produced. Simple Cox regression analysis showed that normalized uniformity had a hazard ratio (HR) of 16.059 (3.861-66.788, P < .001), and skewness had an HR of 1.914 (1.330-2.754, P < .001). The optimal cutoff values for both parameters were 0.8602 and 0.1554, respectively. Normalized uniformity, clinical stage, and skewness were found to be prognostic factors for overall survival in multivariate analysis. Tumor heterogeneity, assessed by normalized uniformity and skewness on CECT may be a prognostic factor for overall survival.
KW - computed tomography
KW - non-small cell lung cancer
KW - texture analysis
U2 - 10.1097/MD.0000000000031855
DO - 10.1097/MD.0000000000031855
M3 - Journal article
C2 - 36482650
AN - SCOPUS:85143570800
VL - 101
JO - Medicine (Baltimore)
JF - Medicine (Baltimore)
SN - 0025-7974
IS - 48
M1 - E31855
ER -
ID: 329570135