Evidence map›Paper›PMID 38515017›Full record

ArticleBMC gastroenterology2024

Optimizing LI-RADS: ancillary features screened from LR-3/4 categories can improve the diagnosis of HCC on MRI.

Zi-Xin Zhang, Hui Xv, Yan-Ni Du, Zhi-Bin Lv, Zheng-Han Yang

Abstract read
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Article in BMC gastroenterology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zi-Xin ZhangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Hui XvDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Yan-Ni DuDepartment of Radiology, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Zhi-Bin LvDepartment of Radiology, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Zheng-Han YangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China. yangzhenghan2023@126.com.

Funding

National Natural Science Foundation of China No. 62171298
6 · The paper itself

Abstract

objectiveTo determine the high-efficiency ancillary features (AFs) screened from LR-3/4 lesions and the HCC/non-HCC group and the diagnostic performance of LR3/4 observations. MATERIALS AND

methodsWe retrospectively analyzed a total of 460 patients (with 473 nodules) classified into LR-3-LR-5 categories, including 311 cases of hepatocellular carcinoma (HCC), 6 cases of non-HCC malignant tumors, and 156 cases of benign lesions. Two faculty abdominal radiologists with experience in hepatic imaging reviewed and recorded the major features (MFs) and AFs of the Liver Imaging Reporting and Data System (LI-RADS). The frequency of the features and diagnostic performance were calculated with a logistic regression model. After applying the above AFs to LR-3/LR-4 observations, the sensitivity and specificity for HCC were compared.

resultsThe average age of all patients was 54.24 ± 11.32 years, and the biochemical indicators ALT (P = 0.044), TBIL (P = 0.000), PLT (P = 0.004), AFP (P = 0.000) and Child‒Pugh class were significantly higher in the HCC group. MFs, mild-moderate T2 hyperintensity, restricted diffusion and AFs favoring HCC in addition to nodule-in-nodule appearance were common in the HCC group and LR-5 category. AFs screened from the HCC/non-HCC group (AF-HCC) were mild-moderate T2 hyperintensity, restricted diffusion, TP hypointensity, marked T2 hyperintensity and HBP isointensity (P = 0.005, < 0.001, = 0. 032, p < 0.001, = 0.013), and the AFs screened from LR-3/4 lesions (AF-LR) were restricted diffusion, mosaic architecture, fat in mass, marked T2 hyperintensity and HBP isointensity (P < 0.001, = 0.020, = 0.036, < 0.001, = 0.016), which were not exactly the same. After applying AF-HCC and AF-LR to LR-3 and LR-4 observations in HCC group and Non-HCC group, After the above grades changed, the diagnostic sensitivity for HCC were 84.96% using AF-HCC and 85.71% using AF-LR, the specificity were 89.26% using AF-HCC and 90.60% using AF-LR, which made a significant difference (P = 0.000). And the kappa value for the two methods of AF-HCC and AF-LR were 0.695, reaching a substantial agreement.

conclusionWhen adjusting for LR-3/LR-4 lesions, the screened AFs with high diagnostic ability can be used to optimize LI-RADS v2018; among them, AF-LR is recommended for better diagnostic capabilities.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsAdultAgedContrast MediaHumansMagnetic Resonance ImagingMiddle AgedReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityContrast MediaAncillary featureHepatocellular carcinomaLI-RADSMRI

Identifiers

PMID38515017
PMCPMC10956370

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