Clinicopathological features and CT findings of papillary gastric adenocarcinoma.

Purpose: This study aimed to analyze the clinicopathological and computed tomography (CT) findings of papillary gastric adenocarcinoma and to evaluate the feasibility of the multivariate model based on clinical information and CT findings for discriminating papillary gastric adenocarcinomas. Methods...

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Publicado en:Abdominal Radiology Vol. 47; no. 11; pp. 3698 - 3712
Autores principales: Xu, Mengying, Liu, Song, Qiao, Xiangmei, Li, Lin, Ji, Changfeng, Zhou, Zhengyang
Formato: Journal Article
Publicado: Springer Nature Nov2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Nov2022
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00261-022-03635-w
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        atl: Clinicopathological features and CT findings of papillary gastric adenocarcinoma.
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          Xu, Mengying
          Liu, Song
          Qiao, Xiangmei
          Li, Lin
          Ji, Changfeng
          Zhou, Zhengyang
        affil: Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No.321, Zhongshan Road, 210008, Nanjing, Jiangsu Province, China
      sug:
      ab: Purpose: This study aimed to analyze the clinicopathological and computed tomography (CT) findings of papillary gastric adenocarcinoma and to evaluate the feasibility of the multivariate model based on clinical information and CT findings for discriminating papillary gastric adenocarcinomas. Methods: This retrospective study included 22 patients with papillary gastric adenocarcinoma and 88 patients with tubular adenocarcinoma. The demographic data, tumor markers, histopathological information, CT morphological characteristics, and CT value-related parameters of all patients were collected and analyzed. The multivariate model based on regression analysis was performed to improve the diagnostic efficacy for discriminating papillary gastric adenocarcinomas preoperatively. The diagnostic performance of the established nomogram was evaluated by receiver operating characteristic curve analysis. Results: The distribution of age, carcinoembryonic antigen, differentiation degree, neural invasion, human epidermal growth factor receptor 2 overexpression, P53 mutation status, 4 CT morphological characteristics, and 10 CT valued-related parameters differed significantly between papillary gastric adenocarcinoma and tubular adenocarcinoma groups (all p < 0.05). The established multivariate model based on clinical information and CT findings for discriminating papillary gastric adenocarcinomas preoperatively achieved the area under the curve of 0.920. Conclusion: There existed differences in clinicopathological features and CT findings between papillary gastric adenocarcinomas and tubular adenocarcinomas. The combination of demographic data, tumor markers, CT morphological characteristics, and CT value-related parameters could discriminate papillary gastric adenocarcinomas preoperatively with satisfactory diagnostic efficiency.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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