Affiliation:
1. Department of Radiology Gansu Provincial Hospital Lanzhou Gansu China
2. The Department of CT Tianshui Combine traditional Chinese and Western Medicine Hospital Tianshui Gansu China
3. GE Healthcare China Beijing China
4. Clinical Medical School Gansu University of Chinese Medicine Lanzhou Gansu China
5. Ward II of Respiratory Medicine The First Hospital of Tianshui Tianshui Gansu China
6. Department of Radiology The First Hospital of Tianshui Tianshui Gansu China
7. School of Medical Sciences The University of Sydney Sydney New South Wales Australia
Abstract
AbstractIntroductionThis study aims to explore the predictive value of CT radiomics and clinical characteristics for treatment response in COVID‐19 patients.MethodsData were collected from clinical/auxiliary examinations and follow‐ups of COVID‐19 patients. Whole lung radiomics feature extraction was performed at baseline chest CT. Radiomics, clinical, and combined features (nomogram) were evaluated for predicting treatment response.ResultsAmong 36 COVID‐19 patients, mild, common, severe, and critical disease symptoms were found in 1, 21, 13, and 1 of them, respectively. Twenty‐five (1 mild, 18 common, and 6 severe) patients showed a good response to treatment and 11 poor/fair responses. The clinical classification (p = 0.025) and serum creatinine (p = 0.010) on admission and small area emphasis (p = 0.036) from radiomics analysis significantly differed between the two groups. Predictive models were constructed based on the radiomics, clinical features, and nomogram showing an area under the curve of 0.651, 0.836, and 0.869, respectively. The nomogram achieved good calibration.ConclusionThis new, non‐invasive, and low‐cost prediction model that combines the radiomics and clinical features is useful for identifying COVID‐19 patients who may not respond well to treatment.
Subject
Genetics (clinical),Pulmonary and Respiratory Medicine,Immunology and Allergy
Reference27 articles.
1. Balamuthia mandrillaris encephalitis in a child: case report and literature review
2. Health emergency office of China Health and Health Commission.Distribution of new coronavirus pneumonia Beijing;2020. Available from:http://2019ncov.chinacdc.cn/2019-nCoV/
3. Pathophysiology, Transmission, Diagnosis, and Treatment of Coronavirus Disease 2019 (COVID-19)
4. Clinical course and risk factors for mortality of adult inpatients with COVID‐19 in Wuhan, China: a retrospective cohort study;Zhou F;Lancet (London, England),2020
5. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China