ReviewAbdominal radiology (New York)2021
CT and MR imaging evaluation of living liver donors.
Review in Abdominal radiology (New York), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06875232 (The Correlation Between CT and MRCP Pre-LDLT for Liver Blood Vessel Assessment), which is not on this map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The Correlation Between CT and MRCP Pre-LDLT for Liver Blood Vessel Assessment: an Ambidirectional Cohort Study
Who cites it
9 citing papers in PubMed, 21 citations in OpenAlex.
- An Attention-Residual Hybrid CNN for CT-Based Multiclass Classification of Alcohol-Related Liver Disease: Differential Diagnosis Against HBV-Related Cirrhosis.Diagnostics (Basel, Switzerland) · 2026Article
- Evaluation of Living Liver Donors Using Dual-Contrast-Agent Magnetic Resonance Imaging (MRI) and Cholangiopancreatography (MRCP)-Technical Development.Journal of magnetic resonance imaging : JMRI · 2026Review
- The Value of Chest and Abdominal CT Scans in Deceased Organ Donor Screening: A Prospective Nationwide Cohort Study.Transplantation direct · 2025Article
- Biliary complications after liver transplantation: A computed tomography and magnetic resonance imaging pictorial review.World journal of gastroenterology · 2023Review
- Liver Transplant in Patients with Hepatocarcinoma: Imaging Guidelines and Future Perspectives Using Artificial Intelligence.Diagnostics (Basel, Switzerland) · 2023Review
- Preoperative estimation of hemi-liver volume using standard liver volume and portal vein diameter ratio in living donor liver transplantation.Annals of hepato-biliary-pancreatic surgery · 2022Article
- Diagnostic Modalities of Non-Alcoholic Fatty Liver Disease: From Biochemical Biomarkers to Multi-Omics Non-Invasive Approaches.Diagnostics (Basel, Switzerland) · 2022Review
- Radiological Screening Methods in Deceased Organ Donation: An Overview of Guidelines Worldwide.Transplant international : official journal of the European Society for Organ Transplantation · 2022Review
- Evaluation of seven gene signature for predicting HCV recurrence post-liver transplantation.Journal, genetic engineering & biotechnology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Preoperative cross-sectional imaging evaluation of potential living liver donors allows to exclude donors with an increased risk for morbidity and mortality, and to assure that a suitable graft for the recipient can be obtained, minimizing the risk of complications in both the donor and the recipient. CT is routinely performed to delineate the anatomy of the liver, relevant vasculature, and liver volumes in whole right or left lateral segment donation. MR imaging is the gold standard for the assessment of biliary anatomy and allows a better quantification of hepatic steatosis compared to CT. Knowledge of normal and variant vascular and biliary anatomy and their surgical relevance for liver transplantation is of paramount importance for the radiologist. The purpose of this review is to outline the current role of CT and MR imaging in the assessment of hepatic parenchyma, hepatic vascular anatomy, biliary anatomy, and hepatic volumetry in the potential living liver donor with short notes on acquisition protocols and the relevant reportable findings.
Indexed as
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.