2023 World Conference on Lung Cancer (Posters)-P1.27. Artificial Intelligence Analysis Predicts Highly Malignant Potential in Small-Sized Lung Adenocarcinoma

P1.27. Artificial Intelligence Analysis Predicts Highly Malignant Potential in Small-Sized Lung Adenocarcinoma - PDF(Abstract)

Back to course

Pdf Summary

In a study presented at WCLC 2023, researchers from Tokyo Medical University in Japan used artificial intelligence (AI) technology for the objective evaluation of small-sized lung adenocarcinomas. The researchers analyzed radiological findings of 207 patients with clinical N0 non-small cell lung cancer who underwent complete lung resection. The AI software automatically calculated confidence scores for pure ground-glass nodules (GGN), part solid, and pure solid nodules. The researchers classified the tumors into six categories based on the confidence scores.<br /><br />The study found that tumors judged as pure solid nodules by the AI software had a higher incidence of lymph node metastasis compared to non-AI solid tumors. The AI-solid tumors had lymph node metastasis in 19% of patients, while non-AI solid tumors had it in only 2% of patients. Additionally, AI-solid tumors were pathologically upstaged (stage IA3-III) in 49% of patients, compared to 4% of non-AI solid tumors.<br /><br />The researchers concluded that the 3D imaging analysis with AI technology enabled the evaluation of objective radiological findings of small-sized lung adenocarcinoma. They suggested that surgeons should carefully consider the indications for sublobar resection in tumors diagnosed as "AI-solid" due to their higher incidence of lymph node metastasis.<br /><br />This study highlights the potential of AI technology in predicting the highly malignant potential of small-sized lung adenocarcinomas. By providing objective and standardized evaluation of radiological findings, AI can assist in identifying patients who may benefit from more aggressive treatment strategies.

Asset Subtitle

Yujin Kudo

Meta Tag

Speaker Yujin Kudo

Topic Early-Stage NSCLC: Innovation & New Technology

Keywords

study

WCLC 2023

artificial intelligence

lung adenocarcinomas

radiological findings

small-sized tumors

lymph node metastasis

AI software

objective evaluation

treatment strategies