Journals Information
Cancer and Oncology Research(CEASE PUBLICATION) Vol. 8(1), pp. 1 - 8
DOI: 10.13189/cor.2023.080101
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Construction and Analysis of Adverse Reaction Prediction Model for Patients with Hepatocellular Carcinoma Undergoing Radiotherapy and Chemotherapy Based on Image Detection
Ganesh Sonawane 1,*, Santosh Kumar Singh 1, Kajal Pansare 2, Chandrashekhar Patil 2, Deepak Somavanshi 3
1 School of Pharmacy, Suresh Gyan Vihar University, Jaipur-302017, Rajasthan, India
2 Department of Pharmacology, Divine College of Pharmacy, Satana, Dist: Nashik-423301, Maharashtra, India
3 Department of Pharmacognosy, KBHSS Trusts Institute of Pharmacy, Malegaon, Dist: Nashik-423105, Maharashtra, India
ABSTRACT
To explore the feasibility and safety of radio-chemotherapy for hepatocellular carcinoma with the aid of image detection. Through image detection assistant technology, it is applied to the model construction and prediction of adverse reactions in patients with hepatocellular carcinoma treated by radiotherapy and chemotherapy, and its curative effect is discussed and evaluated. Methods: 80 patients with hepatocellular carcinoma undergoing radiotherapy and chemotherapy were selected, through the grouping study of adverse reactions of radiotherapy and chemotherapy in patients with liver cancer, they were divided into an observation group and a control group, and the data were analyzed by bivariate t-test, and the predicted results are compared. Results: The prediction results of adverse reactions in patients with radiotherapy and chemotherapy using image detection technology were better than those without this technology. Conclusion: On the premise of using the same image detection technology, the prediction results of the effect of radiotherapy and chemotherapy on the body of patients with liver cancer using this prediction model are better, it can more effectively improve the accuracy of prediction, more effectively reduce the risk of adverse reactions, greatly improve the treatment effect and enhance the radiochemical effect.
KEYWORDS
Image Detection, Chemotherapy for Liver Cancer, Adverse Reactions of Patients, Prediction Model, Radiochemical Effect
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Ganesh Sonawane , Santosh Kumar Singh , Kajal Pansare , Chandrashekhar Patil , Deepak Somavanshi , "Construction and Analysis of Adverse Reaction Prediction Model for Patients with Hepatocellular Carcinoma Undergoing Radiotherapy and Chemotherapy Based on Image Detection," Cancer and Oncology Research(CEASE PUBLICATION), Vol. 8, No. 1, pp. 1 - 8, 2023. DOI: 10.13189/cor.2023.080101.
(b). APA Format:
Ganesh Sonawane , Santosh Kumar Singh , Kajal Pansare , Chandrashekhar Patil , Deepak Somavanshi (2023). Construction and Analysis of Adverse Reaction Prediction Model for Patients with Hepatocellular Carcinoma Undergoing Radiotherapy and Chemotherapy Based on Image Detection. Cancer and Oncology Research(CEASE PUBLICATION), 8(1), 1 - 8. DOI: 10.13189/cor.2023.080101.