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Updated: Feb 25, 2026
Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
Characteristic analysis of pulmonary ground-glass lesions with the help of 64-slice CT technology
1Medical Imaging Department, Affiliated Hospital of Hebei University of Engineering, Handan, Hebei Province, China. ma_jinghong1@163.com.
Objective:
With the help of new technologies like 64-slice spiral CT, including latest AW4.4, 2D nodule comparing and analyzing technology, MPR and 3D technology, MIP technology and the technology of analyzing pulmonary vascular density by the method of perfusion scanning, we performed characteristic analysis of ground-glass opacities (GGO) for the early diagnosis of lung cancer.
Patients And Methods:
We selected 62 patients suspected of lung cancer, whose conventional CT showed that they were patients with GGO. With the help of the new technologies of 64-slice spiral CT provided by GE Company, prospective scans were made and 2 to 4 times of review were arranged. After that, the patients were treated with surgery or needle biopsy to get lesion's pathological results. After several scans, the results including lesion's form, density, blood supply, peripheral sign, doubling time and tissue perfusion were drawn to make a comparison. Based on the results, comparative analysis on GGO's characteristics was made from morphological and functional perspectives.
Results:
41 patients (66.1%) were pathologically diagnosed with cancer, 10 were diagnosed with inflammation, 7 with fibrosis, and 4 with edema, hemorrhage and other lesions. The comparisons were made between the tumor groups' clinical manifestations (sex, age, symptoms including smoking, coughing, and expectoration), and the difference had no statistical significance (p>0.05). Conventional CT scan showed that the shape of GGO was irregular and it showed spiculated sign and pleural indentation. The proportion of the patients with vessel convergence in the tumor group was significantly higher than that of the non-tumor group (p<0.05). However, the comparisons between lesions' number, location (superior lobe of the right lung), diameter, edge (blur) and lobulation were made to get a difference ratio (p>0.05) which had no statistical significance. Tumor group's doubling time was significantly short, and its perfusion parameters including BF, BV, MTT, and PS were increased significantly (p<0.05).
Conclusions:
The new 64-slice CT technology has great value in the diagnosis of the tumorous GGO.
