Abstract
At present, lung cancer ranks the first cause of tumor death in the world, and malignant tumors in the SPN detected by imaging account for 5–40%, most of which are peripheral lung cancer. The recovery of the solitary nodules in the lung after treatment has also been paid attention to. In order to explore the correlation of solitary pulmonary nodule (SPN) with microvessel density (MVD), vascular parameters, and vascular ratio under virtual reality images of smart medical treatment and evaluate the differentiation of SPN by ddPCR under virtual reality image observation diagnosis value, this article collects relevant information by investigating patients, investigating relevant literature, interviewing professionals, and constructing a case template, using a comprehensive quantitative and qualitative analysis method to create a damage assessment matrix. Experimental results prove that there are significant differences in the microvascular architecture within the SPN in the benign, inflammatory, and malignant groups. The correlation between ddPCR and vascular parameters (especially the ratio of luminal vessels) under the virtual reality image observation of smart medical treatment is better than other detection methods, and its accuracy is about 10% higher. Based on the observation of smart medical virtual reality images, ddPCR can be used as an index for noninvasive evaluation of tumor angiogenesis, which is helpful for the differential diagnosis of SPN.
Highlights
solitary pulmonary nodule (SPN) refers to a single circular oedema with a diameter of thirty kilometres in the pulmonary spine, with clean edges, without loss of control, satellite damage, and enlargement of the median ganglia
Lung cancer ranks as the first cause of death from a tumor in the world, and the malignant tumors in the SPN were detected by imaging for 5–40%, most of which are peripheral lung cancer. e five-year survival rate after the surgical dissection of early lung cancer may be as high as 54–73%, while the rate of advanced lung cancer is only 2%
SPN is the difficulty and focus of chest imaging diagnosis. droplet digital PCR (ddPCR) is one of the effective measures to improve the ability of predicting SPN and correctly explain the characteristics of solitary pulmonary nodules as soon as possible. e ddPCR result under the virtual reality image is not “1 + 1 2,” but “1 + 1 > 2.”
Summary
SPN refers to a single circular oedema with a diameter of thirty kilometres in the pulmonary spine, with clean edges, without loss of control, satellite damage, and enlargement of the median ganglia. In recent years, patient specific CT/ MRI data have been used as clinical XR (extended reality) by medical image analysis, including virtual reality (VR), augmented reality (AR), and hybrid reality (MR), for planning and simulating treatment procedures, navigation, and training. Virtual scene position mapping is a virtual implementation technology based on upper limb rehabilitation training, which is operated by the movement of patients’ upper limbs In this experiment, the first- and second-year students of physical rehabilitation major in a local university were tested theoretically and evaluated practically. Ey provide us with the opportunity to study the imaging characteristics of different SPNs. In different clinical studies, researchers have provided us with a variety of risk factors related to lung cancer.
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