Use of CT-based renal volumetry for the measurement of split renal function: a split glomerular filtration rate prediction model based on unilateral renal volume parameters.

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Title: Use of CT-based renal volumetry for the measurement of split renal function: a split glomerular filtration rate prediction model based on unilateral renal volume parameters.
Authors: Zheng MM; Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, China., Zhu YC; Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, China., Shang LM; Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, China., Du CK; Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, China., Zhang L; Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, China., Sun W; Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, China., Wang ZP; Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, China., Zhao YQ; Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, China., Li XS; Department of Urology, Peking University First Hospital, Institute of Urology, Peking University, National Urological Cancer Centre, Beijing, China. Electronic address: pineneedle@sina.com., Tian Y; Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, China. Electronic address: tianye166@126.com.
Source: Clinical radiology [Clin Radiol] 2022 Oct; Vol. 77 (10), pp. 759-766. Date of Electronic Publication: 2022 Jun 25.
Publication Type: Journal Article
Journal Info: Publisher: Blackwell Scientific Publications Ltd Country of Publication: England NLM ID: 1306016 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-229X (Electronic) Linking ISSN: 00099260 NLM ISO Abbreviation: Clin Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1365-229X
DOI:10.1016/j.crad.2022.05.023