Method for evaluating disease progress and prognosis of new crown patient based on CT image and clinical data

Abstract

The invention discloses a method for evaluating the disease progress and prognosis of a new crown patient based on a CT image and clinical data, and the method comprises the steps: building a new crown patient disease progress and prognosis prediction model based on CT image feature data and non-image feature data, and the non-image data information comprises the age of the patient, the body mass index BMI, and whether the patient suffers from a basic disease or not. Blood routine examination is carried out on leukocyte and lymphocyte values, ten symptoms of new coronal pneumonia and information of lung lesion positions. The method not only considers visual CT image information of the patient, but also fully considers difference conditions of the patient due to age, immune level and clinical symptoms, has the advantages of being capable of making more accurate prediction on the new crown patient, high in speed and more accurate in prediction result, and provides a new means for judging the prognosis condition of the new crown patient.

Description

technical field [0001] The invention relates to the technical field of diagnosis and treatment of new coronary pneumonia, in particular to a method for evaluating the progress and prognosis of a new coronary pneumonia patient based on CT images and clinical data. Background technique [0002] The new coronavirus is a newly discovered pathogen, which has the characteristics of fast transmission, long incubation time, and susceptibility to the population. Severely ill patients often develop dyspnea or hypoxemia one week after the onset of symptoms. During the clinical examination, the total number of white blood cells in the patient's blood routine was normal or decreased, the lymphocyte count was decreased, the erythrocyte sedimentation rate was increased, and the procalcitonin was normal. The chest imaging of the patient showed multiple small patchy shadows and interstitial changes in the early stage, and then developed into multiple ground-glass shadows and infiltration sh...

AI Technical Summary

Problems solved by technology

[0005] (1) The progress of the disease is diversified and complicated, and the diagnosis and treatment are difficult: a. Due to the great differences in age and physical function of different individuals, such as whether they have underlying diseases and whether they are obese, these factors lead to differences in the body's response to infection Large, leading to differences in initial symptoms; bSimilar initial symptoms and examination results, due to different body responses after treatment, resulting in great differences in prognosis

[0006] (2) The patient’s disease progresses rapidly, and the traditional method takes a relatively long time: it takes a certain amount of time to obtain the results of laboratory tests and imaging examinations after admission. For patients with rapid disease progression, close attention and monitoring are required at any time to judge the changes in the condition , routine testing has certain limitations for potentially critically ill patients

[0007] (3) Medical personnel are relatively scarce, and the accuracy of prognosis judgment is limited: for laboratory tests and imaging results, it is necessary to have a comprehensive evaluation by very experienced doctors in order to reasonably judge the progress of the patient's condition

This leads to the limitations of the evaluation results, which cannot fully meet the actual clinical requirements.

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