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Research Article: Single center experience of the impact of artificial intelligence image analysis software on short-term prognosis of non-small cell lung cancer

Date Published: 2025-11-26

Abstract:
To explore the single center experience of the value of artificial intelligence image analysis software in short-term prognostic assessment of non-small cell lung cancer. Artificial intelligence image analysis software was used to analyze typical cases of NSCLC in our hospital; 450 patients diagnosed with NSCLC were selected as research subjects, Single-factor and multi-factor COX proportional hazards regression were used to analyze the imaging features that affect the short-term survival prognosis (progression/death within 12 months) of NSCLC patients, and the short-term prognostic predictive value of each independent predictor factor was analyzed through the receiver operating characteristic (ROC) curve. The artificial intelligence image analysis software can accurately identify and segment tumor areas, extract key features such as tumor size, shape, and texture, and help doctors diagnose and treat patients more efficiently and accurately. COX regression analysis showed that the maximum diameter of the tumor, spiculation sign, vascular bundle sign, pleural indentation sign, calcification and lymph node metastasis are all imaging features that affect the prognosis of NSCLC patients. The ROC curve shows that the areas under the curve (AUC) of the six factors are 0.676, 0.768, 0.689, 0.696, 0.713, 0.810, respectively, with 95% confidence intervals (95%CI) are =0.576~0.740, 0.663~0.847, 0.610~0.763, 0.590~0.781, 0.614~0.808, 0.716~0.886 respectively. The precision-recall curve of lymph node metastasis and spiculation sign performed best. Even under high recall rate, the precision rate remained above 0.7. The model quality score showed that lymph node metastasis had the highest score (0.74) and spiculation sign was 0.66. The imaging analysis software based on artificial intelligence can significantly improve the accuracy of assessment of NSCLC patients, help improve the short-term prognosis of patients, and has short-term clinical application value.

Introduction:
Non-small cell lung cancer (NSCLC) is the main subtype of lung cancer, accounting for approximately 85% of all lung cancer cases. It is mainly divided into adenocarcinoma, squamous cell carcinoma and large cell carcinoma based on histological characteristics ( 1 , 2 ). The early clinical manifestations of NSCLC include cough, hemoptysis, chest pain, shortness of breath, etc. As the disease progresses, it may cause symptoms such as pleural effusion, dysphagia, and hoarseness ( 3 , 4 ). The harm of NSCLC is not…

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