Application of CT functional imaging in the assessment of chemotherapy efficacy in lung cancer

• Published in: Biotechnology & genetic engineering reviews Vol. 40; no. 2; pp. 1246 - 1261
• Main Authors: Hu, Lili, Pan, Yuanwei, Wang, Bo, Han, Zhenzhen, Gao, Jianbo
• Format: Journal Article
• Language: English
• Published: England Taylor & Francis 02-07-2024
• Subjects: Lung cancer; perfusion; spectral imaging; Tomography; Tomography; spectral imaging; perfusion; Lung cancer
• ISSN: 0264-8725; 2046-5556; 2046-5556
• DOI: 10.1080/02648725.2023.2193063

In this research, we aim to investigate the feasibility of a one-stop CT energy spectrum perfusion imaging technique for chemotherapy efficacy assessment of lung cancer patients by obtaining both functional imaging parameters of energy spectrum and perfusion in one scan. From November 2018 to February 2020, a group of 23 patients with pathologically confirmed lung cancer were chosen to undergo CT energy spectrum scans both before and after treatment. The post-treatment CT perfusion data was acquired one week after the second conventional chemotherapy session. Out of the 23 patients, 15 were in the chemotherapy effective group and the remaining 8 were in the ineffective group. The reason for this group was according to recist criteria. Arterial phase iodine concentration (icap) and intravenous phase iodine concentration (icpp) of the lesions were measured, and standardized iodine base values (nic) were calculated. The maximum diameter of the tumor before and after treatment was compared to the perfusion parameters and energy spectrum parameters before and after chemotherapy in the effective group and the invalid group was compared by two tests that p<0.05. The differences between the maximum diameter of the tumor before and after chemotherapy. 2 of the 15 patients in the effective group had liquefied necrotic areas in their lesions. One-stop ct energy-spectrum perfusion imaging can show the disease progression from a functional perspective and assess the efficacy early according to the changes in perfusion parameters and energy-spectrum parameters after lung cancer treatment.