AI-VDT can Help in Detecting Primary Lung Cancer
Suzuki, K.; Otsuka, Y.; Imashimizu, K.; Hata, K.; Suzuki, K.
Show abstract
The current study shows that measuring volume doubling time could accelerate the detection of primary lung cancer in chest CT imaging. Thirty tumors were selected from surgical cases of primary lung cancer at a university hospital in Japan, and the CT scan data and radiology reports were extracted retrospectively. The CT scan data were processed by a commercial pulmonary nodule AI and volume doubling time was calculated for each historical study time point. 43% of the 30 tumors had an VDT below 400 days in earlier study than the tumor was reported as a nodule on the radiology report. The average days of earlier detection was 299 days. Interpolation of the detailed mortality reduction data from the NELSON study predicted a 5.6% reduction in 10-year mortality from lung cancer.
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