Evidence map›Paper›PMID 35294586›Full record

ArticleEuropean radiology2022

A functional liver imaging score for preoperative prediction of liver failure after hepatocellular carcinoma resection.

Ningbin Luo, Xiangyang Huang, Yinan Ji, Guanqiao Jin, Yunying Qin, Bangde Xiang, Danke Su, Weizhong Tang

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In one paragraph

Article in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Improving surgical treatments for hepatocellular carcinoma.Nature reviews. Gastroenterology & hepatology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Ningbin Luo *Department of Radiology, Guangxi Medical University Cancer Hospital, Nanning, China.
Xiangyang Huang *Department of Radiology, Guangxi Medical University Cancer Hospital, Nanning, China.
Yinan JiDepartment of Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Guanqiao JinDepartment of Radiology, Guangxi Medical University Cancer Hospital, Nanning, China.
Yunying QinDepartment of Radiology, Guangxi Medical University Cancer Hospital, Nanning, China.
Bangde XiangDepartment of Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Danke SuDepartment of Radiology, Guangxi Medical University Cancer Hospital, Nanning, China. sudanke33@sina.com.
Weizhong TangDepartment of Surgery, Guangxi Medical University Cancer Hospital, Nanning, China. tangweizhong@gxmu.edu.cn.
Guangxi Medical University · CN

Funding

Guangxi Clinical Research Center for Medical Imaging Construction No. Guike AD20238096Guangxi Science and Technological Development Project No. Guike AB1812603Scientific Research and Technology Development Program of Guangxi No. Z2016484
6 · The paper itself

Abstract

objectivesPosthepatectomy liver failure (PHLF) is a challenging complication after resection to treat hepatocellular carcinoma (HCC), and it is associated with high mortality. Preoperative prediction of PHLF may improve patient subsequent and reduce such mortality. This study examined whether a functional liver imaging score (FLIS) based on preoperative gadoxetic acid-enhanced magnetic resonance imaging (MRI) could predict PHLF. MATERIALS AND

methodsThe study included 502 patients who underwent preoperative gadoxetic acid-enhanced MRI, followed by HCC resection. Significant preoperative predictors of PHLF were identified using logistic regression analysis. The ability of FLIS to predict PHLF was evaluated using receiver operating characteristic curves, and its predictive power was compared to that of the model for end-stage liver disease (MELD) score, albumin-bilirubin (ALBI) score, and indocyanine green 15-min retention rate (ICG-R15).

resultsIn multivariate analysis, PHLF was independently associated with FLIS (OR 0.452, 95% CI 0.361 to 0.568, p < 0.001) and major resection (OR 1.898, 95% CI 1.057 to 3.408, p = 0.032). FLIS was associated with a higher area under the receiver operating characteristic curve (0.752) than the MELD score (0.557), ALBI score (0.609), or ICG-R15 (0.605) (all p < 0.05). Patients with FLIS ≤ 4 who underwent major resection were at 9.4-fold higher risk of PHLF than patients with lower FLIS who underwent minor resection.

conclusionFLIS is an independent predictor of PHLF, and it may perform better than the MELD score, ALBI score, and ICG-R15 clearance. We propose treating elevated FLIS and major resection as risk factors for PHLF. KEY POINTS: • A functional liver imaging score can independently predict posthepatectomy liver failure in patients with HCC. • The score may predict such failure better than MELD and ALBI scores and ICG-R15. • Patients with scores ≤ 4 who undergo major hepatic resection may be at nearly tenfold higher risk of posthepatectomy liver failure.

Indexed as

Carcinoma, HepatocellularEnd Stage Liver DiseaseLiver NeoplasmsBilirubinHepatectomyHumansIndocyanine GreenPostoperative ComplicationsRetrospective StudiesSeverity of Illness IndexBilirubinIndocyanine GreenGd-EOB-DTPAHepatectomyHepatocellular carcinomaLiver failureMagnetic resonance imaging

Identifiers

PMID35294586
OpenAlexW4220895817

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Registered trials

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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.