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Utility of preoperative computed tomography features in predicting the Ki-67 labeling index of gastric gastrointestinal stromal tumors. | LitMetric

Utility of preoperative computed tomography features in predicting the Ki-67 labeling index of gastric gastrointestinal stromal tumors.

Eur J Radiol

Department of Radiology, Zhongshan Hospital, Fudan University, China; Shanghai Institute of Medical Imaging, China; Department of Cancer Center, Zhongshan Hospital, Fudan University, China. Electronic address:

Published: September 2021

AI Article Synopsis

  • - The study aimed to determine how preoperative CT features of gastric gastrointestinal stromal tumors (GISTs) can predict the Ki-67 labeling index, an important indicator of tumor aggressiveness.
  • - Researchers analyzed data from 167 patients, focusing on various tumor characteristics like growth pattern, shape, tumor size, and necrosis, using multivariable logistic regression to distinguish between high and low Ki-67LI groups.
  • - Findings revealed that irregular tumor shape and a high necrosis volume ratio were significant independent predictors of a high Ki-67LI, suggesting these features could help identify aggressive tumors preoperatively.

Article Abstract

Purpose: To evaluate the value of preoperative computed tomography (CT) features including morphologic and quantitative features for predicting the Ki-67 labeling index (Ki-67LI) of gastric gastrointestinal stromal tumors (GISTs).

Methods: We retrospectively included 167 patients with gastric GISTs who underwent preoperative contrast-enhanced CT. We assessed the morphologic features of preoperative CT images and the quantitative features including the maximum diameter of tumor, total tumor volume, mean total tumor CT value, necrosis volume, necrosis volume ratio, enhanced tissue volume, and mean CT value of enhanced tissue. Potential predictive parameters to distinguish the high-level Ki-67LI group (>4%, n = 125) from the low-level Ki-67LI group (≤4%, n = 42) were compared and subsequently determined in multivariable logistic regression analysis.

Results: Growth pattern (p = 0.036), shape (p = 0.000), maximum diameter (p = 0.018), total tumor volume (p = 0.021), mean total tumor CT value (p = 0.009), necrosis volume (p = 0.006), necrosis volume ratio (p = 0.000), enhanced tissue volume (p = 0.027), and mean CT value of enhanced tissue (p = 0.004) were significantly different between the two groups. Multivariate logistic regression analysis indicated that lobulated/irregular shape (odds ratio [OR] = 3.817; p = 0.000) and high necrosis volume ratio (OR = 1.935; p = 0.024) were independent factors of high-level Ki-67LI.

Conclusions: Higher necrosis volume ratio in combination with lobulated/irregular shape could potentially predict high expression of Ki-67LI for gastric GISTs.

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Source
http://dx.doi.org/10.1016/j.ejrad.2021.109840DOI Listing

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