Journal of Clinical Chemistry and Laboratory Medicine
Open Access

Department of Pathology, Zhongshan Hospital of Traditional Chinese Medicine, Hunan, China

Publications

• Research Article   
  Predictive Value of Quantitative Artificial Intelligence Parameters Combined with Circulating Tumor Cell Detection in Lung Adenocarcinoma Infiltration
  Author(s): Wubing Mao, Shuilian Li, Mei Zhou, Yingjun Zhang* and Zonggui Chen
  
  Investigation of the value of Artificial Intelligence (AI) quantitative parameters combined with Circulating Tumor Cell testing (CTC) in lung adenocarcinoma infiltration. Methods: Images of 127 surgically confirmed samples of lung adenocarcinomas were analyzed retrospectively between January 2020 and December 2022, and based on postoperative pathology, the lung adenocarcinomas were divided into the non-infiltrating group (65 cases) and the infiltrating group (62 cases), with the latter, including ICA. Five sets of quantitative indices, namely, the longest diameter, volume, mass, mean CT value, and maximum CT value, of each nodule, was analyzed using AI analysis software. The patients were subjected to the CTC detection test prior to the surgery. The differences in the above five quantitative indices between the two groups were determined, following which the.. View More»
  DOI: 10.35248/2736-6588.25.8.301

  Abstract HTML PDF