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Updated: Jul 31, 2026

A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
Published on: May 19, 2023
Computer-aided diagnosis: a shape classification of pulmonary nodules imaged by high-resolution CT
Shingo Iwano1, Tatsuya Nakamura, Yuko Kamioka
1Department of Radiology, School of Medicine, Nagoya University, Nagoya, 65 Tsurumai-cho, Shouwa-ku, Nagoya 466-8550, Japan.
Abstract:
We investigated the possibility of using computer analysis of high-resolution CT images to radiologically classify the shape of pulmonary nodules. Using a combination of circularity and second moment as quantitative measures we were able to classify pulmonary nodules in each shape group as effectively as could a radiologist. We found that pulmonary nodules with circularity < or =0.75 and second moment < or =0.18 were very likely to reveal lung cancer.
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