Early evaluation of liver metastasis using spectral CT to predict outcome in patients with colorectal cancer treated with FOLFOXIRI and bevacizumab.

Bibliographic Details
Title: Early evaluation of liver metastasis using spectral CT to predict outcome in patients with colorectal cancer treated with FOLFOXIRI and bevacizumab.
Authors: Li S; Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China.; Second Clinical School, Lanzhou University, Lanzhou, China.; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China.; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China., Yuan L; Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China.; Second Clinical School, Lanzhou University, Lanzhou, China.; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China.; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China., Yue M; Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China., Xu Y; Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China.; Second Clinical School, Lanzhou University, Lanzhou, China.; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China.; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China., Liu S; Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China.; Second Clinical School, Lanzhou University, Lanzhou, China.; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China.; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China., Wang F; Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China., Liu X; Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China., Wang F; Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China., Deng J; Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China.; Second Clinical School, Lanzhou University, Lanzhou, China.; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China.; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China., Sun Q; Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China.; Second Clinical School, Lanzhou University, Lanzhou, China.; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China.; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China., Liu X; Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China.; Second Clinical School, Lanzhou University, Lanzhou, China.; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China.; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China., Xue C; Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China.; Second Clinical School, Lanzhou University, Lanzhou, China.; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China.; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China., Lu T; Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China.; Second Clinical School, Lanzhou University, Lanzhou, China.; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China.; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China., Zhang W; Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China.; Second Clinical School, Lanzhou University, Lanzhou, China.; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China.; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China., Zhou J; Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China. ery_zhoujl@lzu.edu.cn.; Second Clinical School, Lanzhou University, Lanzhou, China. ery_zhoujl@lzu.edu.cn.; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China. ery_zhoujl@lzu.edu.cn.; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China. ery_zhoujl@lzu.edu.cn.
Source: Cancer imaging : the official publication of the International Cancer Imaging Society [Cancer Imaging] 2023 Mar 24; Vol. 23 (1), pp. 30. Date of Electronic Publication: 2023 Mar 24.
Publication Type: Journal Article
Journal Info: Publisher: Springer Nature Country of Publication: England NLM ID: 101172931 Publication Model: Electronic Cited Medium: Internet ISSN: 1470-7330 (Electronic) Linking ISSN: 14707330 NLM ISO Abbreviation: Cancer Imaging Subsets: MEDLINE
Database: MEDLINE Complete
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Description
ISSN:1470-7330
DOI:10.1186/s40644-023-00547-w