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

Eur Radiol

Department of Radiology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, No 440 Jiyan Road, Jinan, 250117, Shandong Province, People's Republic of China.

Published: April 2020

Background: Tumor shape is strongly associated with some tumor's genomic subtypes and patient outcomes. Our purpose is to find the relationship between risk stratification and the shape of GISTs.

Methods: A total of 101 patients with primary GISTs were confirmed by pathology and immunohistochemistry and underwent enhanced CT examination. All lesions' pathologic sizes were 1 to 10 cm. Points A and B were the extremities of the longest diameter (LD) of the tumor and points C and D the extremities of the small axis, which was the longest diameter perpendicular to AB. The four angles of the quadrangle ABCD were measured and each angle named by its summit (A, B, C, D). For regular lesions, we took angles A and B as big angle (BiA) and small angle (SmA). For irregular lesions, we compared A/B ratio and D/C ratio and selected the larger ratio for analysis. The chi-square test, t test, ROC analysis, and hierarchical or binary logistic regression analysis were used to analyze the data.

Results: The BiA/SmA ratio was an independent predictor for risk level of GISTs (p = 0.019). With threshold of BiA at 90.5°, BiA/SmA ratio at 1.35 and LD at 6.15 cm, the sensitivities for high-risk GISTs were 82.4%, 85.3%, and 83.8%, respectively; the specificities were 87.1%, 71%, and 77.4%, respectively; and the AUCs were 0.852, 0.818, and 0.844, respectively. LD could not effectively distinguish between intermediate-risk and high-risk GISTs, but BiA could (p < 0.05). Shape and Ki-67 were independent predictors of the mitotic value (p = 0.036 and p < 0.001, respectively), and the accuracy was 87.8%.

Conclusions: Quantifying tumor shape has better predictive efficacy than LD in predicting the risk level and mitotic value of GISTs, especially for high-risk grading and mitotic value > 5/50HPF.

Key Points: • The BiA/SmA ratio was an independent predictor affecting the risk level of GISTs. LD could not effectively distinguish between intermediate-risk and high-risk GISTs, but BiA could. • Shape and Ki-67 were independent predictors of the mitotic value. • The method for quantifying the tumor shape has better predictive efficacy than LD in predicting the risk level and mitotic value of GISTs.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062662PMC
http://dx.doi.org/10.1007/s00330-019-06561-6DOI Listing

Publication Analysis

Top Keywords

risk level
16
tumor shape
12
bia/sma ratio
12
high-risk gists
12
risk stratification
8
gists
8
points extremities
8
longest diameter
8
ratio independent
8
independent predictor
8

Similar Publications

As the elderly population expands, enhancing emergency department (ED) care by assessing frailty becomes increasingly vital. To address this, we developed a novel electronic Frailty Index (eFI) from ED health records, specifically designed to assess frailty and predict hospitalization, in-hospital mortality, ICU admissions, and 30-day ED readmissions. This retrospective, single-center study included patients 65 years old or older who presented to the ED of IRCCS Humanitas Research Hospital in Milan, Italy, between January 2015 and December 2019.

View Article and Find Full Text PDF

A nationwide registry-based cohort study of the association between childhood dental caries and gingivitis with type 2 diabetes in adulthood.

Acta Diabetol

January 2025

Section for Clinical Oral Microbiology, Department of Odontology, Faculty of Health and Medical Sciences, University of Copenhagen, Nørre Allé 20, 2200, Copenhagen, Denmark.

Background: Evidence suggests a bidirectional relationship between oral health status and type 2 diabetes (T2D) in adults. Studies on associations between childhood oral health and T2D in adulthood are lacking.

Methods: This is a nationwide Danish registry-based cohort study of individuals born between 1963 and 1972, having at least one registration in the National Child Odontology Registry between 1972 and 1987 (n = 627,758).

View Article and Find Full Text PDF

Several studies have reported associations between specific heavy metals and essential trace elements and acute myocardial infarction (AMI). However, there is limited understanding of the relationships between trace elements and AMI in real-life co-exposure scenarios, where multiple elements may interact simultaneously. This cross-sectional study measured serum levels of 56 trace elements using inductively coupled plasma mass spectrometry.

View Article and Find Full Text PDF

Enhancing safety in CT-guided lung biopsies: correlation of MinIP imaging with pneumothorax risk prediction.

Insights Imaging

January 2025

Department of Diagnostic, Interventional and Paediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.

Objectives: This study aimed to evaluate whether minimum-intensity projection (MinIP) images could predict complications in CT-guided lung biopsies.

Methods: We retrospectively analyzed 72 procedures from January 2019 to December 2023, categorizing patients by pneumothorax and the severity of hemorrhage (grade 2 or higher). Radiodensity measurements were performed using lung window (LW) and MinIP (10-mm slab) images.

View Article and Find Full Text PDF

Coronary artery calcification (CAC) is a key marker of coronary artery disease (CAD) but is often underreported in cancer patients undergoing non-gated CT or PET/CT scans. Traditional CAC assessment requires gated CT scans, leading to increased radiation exposure and the need for specialized personnel. This study aims to develop an artificial intelligence (AI) method to automatically detect CAC from non-gated, freely-breathing, low-dose CT images obtained from positron emission tomography/computed tomography scans.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!