2022 World Conference on Lung Cancer (ePosters)-EP02.01-015. Computer-Aided Volumetry by Multidetector Computed Tomography is Efficient for Prognostic Prediction of Early-Stage Solid Lung Cancers

EP02.01-015. Computer-Aided Volumetry by Multidetector Computed Tomography is Efficient for Prognostic Prediction of Early-Stage Solid Lung Cancers

Back to course

Pdf Summary

A study conducted by researchers at Nagoya University Graduate School of Medicine in Japan suggests that computer-aided volumetry using multidetector computed tomography (MDCT) can efficiently predict the prognosis of early-stage solid lung cancers. The study analyzed 90 patients with pathological stage I lung adenocarcinoma and found that the three-dimensional solid volume (3DSV) on MDCT was significantly different between non-recurrent and recurrent patients. Additionally, the multivariate analysis indicated that 3DSV, pleural invasion, and EGFR mutation were significant predictive factors for disease-free survival. The assessment of 3DSV was found to be a more accurate predictor of postoperative recurrence than traditional two-dimensional and three-dimensional diametrical measurements. Furthermore, 3DSV showed superior diagnostic value compared to serum CEA level and SUVmax on FDG PET/CT scans. Previous research has also shown that tumor size in lung adenocarcinoma is associated with tumor invasiveness and postoperative prognosis. The conventional method for measuring the size of solid components is two-dimensional diametrical measurement, but this may be challenging on CT scans due to difficulty distinguishing the ground glass opacity (GGO) or noninvasive component from the solid component. The study suggests that 3DSV may be an important preoperative detector of invasive components and a useful predictor of disease-free survival for patients with solid lung adenocarcinoma.

Asset Subtitle

Taketo Kato

Meta Tag

Speaker Taketo Kato

Topic Early Stage Non-small Cell Lung Cancer - Biomarkers

Keywords

computer-aided volumetry

multidetector computed tomography

MDCT

prognosis

early-stage solid lung cancers

pathological stage I lung adenocarcinoma

3DSV

pleural invasion

EGFR mutation

disease-free survival