TY  - JOUR
TI  - Texture analysis from CT in discrimination of pancreaticductal adenocarcinoma and hypovascular pancreaticneuroendocrine neoplasm in the portal-venous phase
AB  - Aim: To evaluate the discrimination ability of computed tomography (CT) texture analysis between pancreatic ductal adenocarcinoma(PDAC) and hypovascular pancreatic neuroendocrine neoplasm (PNEN). Materials and Methods: Preoperative CT examinations of 49 patients with pathologically proven PDAC (35) and hypovascular PNEN(14) were evaluated retrospectively. Images in the portal vein phase of each tumor were assessed by two radiologists. Differences intexture features between PDACs and PNENs were analyzed with Mann Whitney-U test and logistic regression analysis. Results: Patients with PNEN (50.4 ± 11.7 y) were significantly younger than the patients with PDAC (62.0 ± 11.1y) (p = 0.002). Nine CTtexture features were found statistically significant between groups. NGLDM and GLZLM texture features showed the best diagnosticperformance on multivariate analysis. Between these parameters, NGLDM_ Busyness showed the best diagnostic performance withthe AUC value of 0.865. Combination of NGLDM_ Busyness and GLZLM_LZLGE improved the diagnostic performance at a significantlevel (AUC = 0.906, 95% CI = 0.747-0.988, p < 0.05). Conclusion: CT texture features of single portal venous phase images may help to discriminate hypovascular PNEN from PDAC.
AU  - Dikmen, Kursat
AU  - ZEYDANLI, TOLGA
AU  - Cerit, Mahi Nur
AU  - Cindil, Emetullah
AU  - Asfuroğlu, Umut
AU  - Yalcin, Ali Can
AU  - Gobut, Huseyin
AU  - Kilic, Koray
AU  - ŞENDUR, HALİT NAHİT
AU  - aydin, yavuz
DO  - 10.5455/annalsmedres.2020.11.1135
PY  - 2021
JO  - Annals of Medical Research
VL  - 28
IS  - 4
SN  - 2636-7688
SP  - 738
EP  - 742
DB  - TRDizin
UR  - http://search/yayin/detay/464169
ER  -