Research Progress of CT Texture Analysis Technology in the Differential Diagnosis of
Benign and Malignant in Isolated Pulmonary Nodules
WEN Xiaonan1,2, SUN Jiannan2，YAN Dongqi2
1. School of Graduate, Mudanjiang Medical University, Daqing Heilongjiang 163000, China;
2. CT Room, Daqing Oilfield General Hospital, Daqing Heilongjiang 163000, China
Abstract：Lung cancer is a common and fatal malignancy, and the detection of solitary pulmonary nodule (SPN) on CT scans in
the early stages of the disease is one of its main features. Early detection and diagnosis of pulmonary nodules is critical for optimal
clinical treatment, however distinguishing benign and malignant nodules using conventional CT imaging is often challenging.
Although CT is still the most commonly used diagnostic tool in clinical practice, its ability to identify SPN morphological features
is limited, and some nodules are still difficult to diagnose qualitatively. CT texture analysis (CTTA) is an emerging image postprocessing
technique that provides a new method for distinguishing benign and malignant SPN by quantitatively extracting texture
feature parameters in lesions. This paper summarized the research progress on the diagnostic potential of CTTA in identifying benign
and malignant SPN, aims to provide some reference value for the diagnosis of benign and malignant SPN.
温笑楠1,2，孙建男2，阎冬琪2. CT纹理分析技术在孤立性肺结节良恶性
鉴别诊断中的研究进展[J]. 中国医疗设备, 2024, 39(1): 166-171.
WEN Xiaonan1,2, SUN Jiannan2，YAN Dongqi2. Research Progress of CT Texture Analysis Technology in the Differential Diagnosis of
Benign and Malignant in Isolated Pulmonary Nodules. China Medical Devices, 2024, 39(1): 166-171.
