Predicting Ki-67 Expression in Gastric Tumors Using CT Images
Author Information
Author(s): Liu Xianwang, Han Tao, Wang Yuzhu, Liu Hong, Deng Juan, Xue Caiqiang, Li Shenglin, Zhou Junlin
Primary Institution: Lanzhou University Second Hospital
Hypothesis
The histogram analysis of monochromatic and iodine images derived from spectral CT can assess Ki-67 expression in gastric gastrointestinal stromal tumors (gGIST).
Conclusion
Both histogram analysis of monochromatic and iodine images derived from spectral CT can predict Ki-67 expression in gGIST, and the diagnostic efficacy of monochromatic images is superior to iodine images.
Supporting Evidence
- The HEG was more likely to present with an irregular shape and a larger size than the LEG (all p<0.05).
- Histogram parameters from monochromatic images showed higher values in the HEG compared to the LEG.
- ROC analysis indicated that significant histogram parameters allowed for effective differentiation between LEG and HEG.
Takeaway
Doctors can use special pictures from a CT scan to tell how fast a stomach tumor is growing, which helps in deciding the best treatment.
Methodology
Sixty-five patients with gGIST underwent spectral CT, and histogram parameters were extracted from monochromatic and iodine images to assess Ki-67 expression.
Limitations
The study is a single-center retrospective study, lacks follow-up data, and requires external validation.
Participant Demographics
The study included 65 patients with gGIST, with no significant differences in age or sex between the low-level and high-level Ki-67 expression groups.
Statistical Information
P-Value
p<0.003125
Confidence Interval
95% CI: 0.624–0.847
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website