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Clinicopathological features and CT findings of papillary gastric adenocarcinoma

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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. Graphical abstract
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Vol.:(0123456789)
1 3
Abdominal Radiology
https://doi.org/10.1007/s00261-022-03635-w
HOLLOW ORGAN GI
Clinicopathological features andCT findings ofpapillary gastric
adenocarcinoma
MengyingXu1· SongLiu1· XiangmeiQiao2· LinLi3· ChangfengJi1· ZhengyangZhou1
Received: 14 May 2022 / Revised: 22 July 2022 / Accepted: 26 July 2022
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022
Abstract
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 analy-
sis 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 param-
eters 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 adenocar-
cinomas preoperatively achieved the area under the curve of 0.920.
Conclusion There existed differences in clinicopathological features and CT findings between papillary gastric adenocarci-
nomas and tubular adenocarcinomas. The combination of demographic data, tumor markers, CT morphological characteris-
tics, and CT value-related parameters could discriminate papillary gastric adenocarcinomas preoperatively with satisfactory
diagnostic efficiency.
Mengying Xu and Song Liu have contributed equally to this
manuscript.
* Zhengyang Zhou
zyzhou@nju.edu.cn
1 Department ofRadiology, Nanjing Drum Tower Hospital,
The Affiliated Hospital ofNanjing University Medical
School, No.321, Zhongshan Road, Nanjing210008,
JiangsuProvince, China
2 Department ofUltrasound, Nanjing Drum Tower
Hospital Clinical College ofNanjing Medical University,
Nanjing210008, China
3 Department ofPathology, Nanjing Drum Tower Hospital,
The Affiliated Hospital ofNanjing University Medical
School, Nanjing210008, China
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