Back to Search
Start Over
Use of Radiomics to Predict Response to Immunotherapy of Malignant Tumors of the Digestive System
- Source :
- Medical Science Monitor : International Medical Journal of Experimental and Clinical Research
- Publication Year :
- 2020
- Publisher :
- International Scientific Information, Inc., 2020.
-
Abstract
- BACKGROUND Despite the promising results of immunotherapy in cancer treatment, new response patterns, including pseudoprogression and hyperprogression, have been observed. Radiomics is the automated extraction of high-fidelity, high-dimensional imaging features from standard medical images, allowing comprehensive visualization and characterization of the tissue of interest and corresponding microenvironment. This study assessed whether radiomics can predict response to immunotherapy in patients with malignant tumors of the digestive system. MATERIAL AND METHODS Computed tomography (CT) images of patients with malignant tumors of the digestive system obtained at baseline and after immunotherapy were subjected to radiomics analyses. Radiomics features were extracted from each image. The formula of the screened features and the final predictive model were obtained using the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm. RESULTS Imaging analysis was feasible in 87 patients, including 3 with pseudoprogression and 7 with hyperprogression. One hundred ten radiomics features were obtained before and after treatment, including 109 features of the target lesions and 1 of the aorta. Four models were constructed, with the model constructed from baseline and post-treatment CT features having the best classification performance, with a sensitivity, specificity, and AUC of 83.3%, 88.9%, and 0.806, respectively. CONCLUSIONS Radiomics can predict the response of patients with malignant tumors of the digestive system to immunotherapy and can supplement conventional evaluations of response.
- Subjects :
- Male
Diagnostic Imaging
medicine.medical_specialty
medicine.medical_treatment
030204 cardiovascular system & hematology
Digestive System Neoplasms
03 medical and health sciences
0302 clinical medicine
Radiomics
Clinical Research
medicine
Humans
In patient
Pseudoprogression
Retrospective Studies
business.industry
Carcinoma
General Medicine
Immunotherapy
Cancer treatment
Imaging analysis
030220 oncology & carcinogenesis
Female
Radiology
Tomography, X-Ray Computed
business
Selection operator
After treatment
Subjects
Details
- ISSN :
- 16433750
- Volume :
- 26
- Database :
- OpenAIRE
- Journal :
- Medical Science Monitor
- Accession number :
- edsair.doi.dedup.....ca1a0e74188ae39cdbdb35ab3b2a325b