TY  - JOUR
TI  - Histogram Analysis of Computed Tomography Images for Quantitative Assessment of Gastric Cancer Invasiveness
AB  - Introduction: To explore the role of computed tomography(CT) texture analysis in predicting T-stage of gastric cancers (GC).Methods: Preoperative enhanced CT images of 110 patients(men: 84, women: 26) with GC were reviewed retrospectively.Regions of interest were manually drawn along the margin ofthe lesion on the section where it appeared largest on the portalvenous CT images, which yielded texture parameters (1, 10,50, 90, and 99% percentiles; minimum, mean, and maximumnorm; variance; skewness, and kurtosis). Correlations betweentexture parameters and pathological stage were analysed withSpearman’s correlation test. The distributions of all variableswere checked with the aid of the Kolmogorov-Smirnov test.The Independent-Samples t-test and the Mann-Whitney Utest were used (as appropriate) to compare quantitative data.The chi-squared test was employed to compare qualitativedata. The diagnostic performance of CT texture parameters indifferentiating different stages was evaluated using receiveroperating characteristic analysis.Results: The T4 variance was significantly greater than that ofthe T1-to-T3 group (p˂0.05). The T4 skewness was significantlylower than that of the T1-to-T3 group (p˂0.05) but the T4kurtosis significantly higher (p˂0.05).Conclusion: The histogram parameters of CT-TA, especiallyskewness and kurtosis derived from portal, venous phase CTimages, may serve as biomarkers stratifying the risk of serosalinvasion (stage-T4) by locally advanced GC. Thus, histogramanalysis can be used preoperatively to evaluate serosalinvasion.
AU  - Yardimci, Veysi Hakan
AU  - Mermut, Özlem
AU  - Yardimci, Aytul  Hande
AU  - Turan BEKTAŞ, Ceyda
AU  - sel, ipek
DO  - 10.4274/imj.galenos.2021.20744
PY  - 2021
JO  - İstanbul Medical Journal
VL  - 22
IS  - 3
SN  - 2619-9793
SP  - 192
EP  - 196
DB  - TRDizin
UR  - http://search/yayin/detay/454750
ER  -