Related Experiment Video
Updated: Oct 4, 2025
15:48
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
22.7K
Correlation between apparent diffusion coefficient and Ki-67 in different pathological types of lung cancer
Hongna Ren1, Jianbing Ma1, Jia Wang1
1Department of Radiology, the First Hospital of Jiaxing, The Affiliated Hospital of Jiaxing University, Jiaxing, China.
Translational Cancer Research
|February 4, 2022
Summary
Lung cancer
Area of Science:
- Oncology
- Radiology
- Pathology
Background:
- Computed tomography (CT) is widely used for lung cancer evaluation, but magnetic resonance (MR) is less common.
- Ki-67 is a marker of cell proliferation, crucial for understanding tumor aggressiveness.
Purpose of the Study:
- To investigate differences in Ki-67 expression across various lung cancer subtypes.
- To explore the correlation between Ki-67 index and apparent diffusion coefficient (ADC) values derived from MR imaging.
Main Methods:
- Retrospective analysis of 165 lung cancer patients' data, with 54 undergoing MR.
- Ki-67 levels assessed via immunohistochemistry (IHC).
- Statistical analysis included Kruskal-Wallis H test, LSD method, and Spearman correlation.
Main Results:
- Significant differences in Ki-67 index medians were observed among adenocarcinoma (20), squamous cell carcinoma (40), and small cell carcinoma (70).
- A significant negative correlation (r=-0.506, P=0.000) was found between ADC values and Ki-67 index in lung cancer patients with MR data.
- No correlation was found between ADC value and Ki-67 index for distinguishing pathological types.
Conclusions:
- Ki-67 expression levels vary significantly across different lung cancer pathological types.
- Apparent diffusion coefficient (ADC) values correlate with Ki-67 index, suggesting MR can help assess lung cancer proliferative activity.
