Literature DB >> 33765174

Building contrast-enhanced CT-based models for preoperatively predicting malignant potential and Ki67 expression of small intestine gastrointestinal stromal tumors (GISTs).

Miao-Ping Zhu1,2, Qiao-Ling Ding1, Jian-Xia Xu3, Chun-Yan Jiang1,4, Jing Wang5, Chao Wang6, Ri-Sheng Yu7.   

Abstract

PURPOSE: To assess contrast-enhanced computed tomography (CE-CT) features for predicting malignant potential and Ki67 in small intestinal gastrointestinal stromal tumors (GISTs) and the correlation between them.
METHODS: We retrospectively analyzed the pathological and imaging data for 123 patients (55 male/68 female, mean age: 57.2 years) with a histopathological diagnosis of small intestine GISTs who received CE-CT followed by curative surgery from May 2009 to August 2019. According to postoperatively pathological and immunohistochemical results, patients were categorized by malignant potential and the Ki67 index, respectively. CT features were analyzed to be associated with malignant potential or the Ki67 index using univariate analysis, logistic regression and receiver operating curve analysis. Then, we explored the correlation between the Ki67 index and malignant potential by using the Spearman rank correlation.
RESULTS: Based on univariate and multivariate analysis, a predictive model of malignant potential of small intestine GISTs, consisting of tumor size (p < 0.001) and presence of necrosis (p = 0.033), was developed with the area under the receiver operating curve (AUC) of 0.965 (95% CI, 0.915-0.990; p < 0.001), with 91.53% sensitivity, 96.87% specificity, 96.43% PPV, 92.54% NPV, 94.31% diagnostic accuracy. For high Ki67 expression, a model made up of tumor size (p = 0.051), presence of ulceration (p = 0.054) and metastasis (p = 0.001) may be the best predictive combination with an AUC of 0.785 (95% CI, 0.702-0.854; p < 0.001), 63.33% sensitivity, 76.34% specificity, 46.34% PPV, 86.59% NPV, 73.17% diagnostic accuracy. Ki67 index showed a moderate positive correlation with mitotic count (r = 0.578, p < 0.001), a weak positive correlation with tumor size (r = 0.339, p < 0.001) and with risk stratification (r = 0.364, p < 0.001).
CONCLUSION: Features on CE-CT could preoperatively predict malignant potential and high Ki67 expression of small intestine GISTs, and Ki67 index may be a promising prognostic factor in predicting the prognosis of small intestine GISTs, independent of the risk stratification system.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Contrast-enhanced CT; Gastrointestinal stromal tumor; Ki67; Models; Small intestine

Mesh:

Substances:

Year:  2021        PMID: 33765174     DOI: 10.1007/s00261-021-03040-9

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  25 in total

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Journal:  J Cancer Res Clin Oncol       Date:  2017-01-12       Impact factor: 4.553

2.  Clinicopathologic Characteristics and Optimal Surgical Treatment of Duodenal Gastrointestinal Stromal Tumor.

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Journal:  J Gastrointest Surg       Date:  2018-08-21       Impact factor: 3.452

3.  Fractal analysis of contrast-enhanced CT images for preoperative prediction of malignant potential of gastrointestinal stromal tumor.

Authors:  Yoshihiro Kurata; Koichi Hayano; Gaku Ohira; Kazuo Narushima; Tomoyoshi Aoyagi; Hisahiro Matsubara
Journal:  Abdom Radiol (NY)       Date:  2018-10

4.  The roles of CT and EUS in the preoperative evaluation of gastric gastrointestinal stromal tumors larger than 2 cm.

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Journal:  Eur Radiol       Date:  2019-01-07       Impact factor: 5.315

5.  Risk stratification of patients diagnosed with gastrointestinal stromal tumor.

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Review 6.  The standard diagnosis, treatment, and follow-up of gastrointestinal stromal tumors based on guidelines.

Authors:  Toshirou Nishida; Jean-Yves Blay; Seiichi Hirota; Yuko Kitagawa; Yoon-Koo Kang
Journal:  Gastric Cancer       Date:  2015-08-15       Impact factor: 7.370

7.  Tumor heterogeneity in gastrointestinal stromal tumors of the small bowel: volumetric CT texture analysis as a potential biomarker for risk stratification.

Authors:  Cui Feng; Fangfang Lu; Yaqi Shen; Anqin Li; Hao Yu; Hao Tang; Zhen Li; Daoyu Hu
Journal:  Cancer Imaging       Date:  2018-12-05       Impact factor: 3.909

8.  Association between CT imaging features and KIT mutations in small intestinal gastrointestinal stromal tumors.

Authors:  Yi-Qiong Yin; Chun-Juan Liu; Bo Zhang; Yue Wen; Yuan Yin
Journal:  Sci Rep       Date:  2019-05-10       Impact factor: 4.379

9.  Development and validation of a nomogram based on CT images and 3D texture analysis for preoperative prediction of the malignant potential in gastrointestinal stromal tumors.

Authors:  Caiyue Ren; Shengping Wang; Shengjian Zhang
Journal:  Cancer Imaging       Date:  2020-01-13       Impact factor: 3.909

10.  Risk stratification in GIST: shape quantification with CT is a predictive factor.

Authors:  Sheng-Cai Wei; Liang Xu; Wan-Hu Li; Yun Li; Shou-Fang Guo; Xiao-Rong Sun; Wen-Wu Li
Journal:  Eur Radiol       Date:  2020-01-03       Impact factor: 5.315

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