Evidence map›Paper›PMID 40767869›Full record

ArticleEuropean radiology2026

Noninvasive MRI imaging feature-based prediction of intratumoral tertiary lymphoid structure maturity in hepatocellular carcinoma: a multicenter retrospective study.

Yiman Li, Ying Chen, Zongqian Wu, Yuting Shi, Mengsi Li, Ping Cai, Huarong Zhang, Chen Liu, Wei Chen, Qingrui Li and 1 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

5 citing papers in PubMed.

  1. Review
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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

11 authors.

Yiman Li *7T Magnetic Resonance Translational Medicine Research Center, Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Ying Chen *Department of Ultrasound, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Zongqian Wu *7T Magnetic Resonance Translational Medicine Research Center, Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Yuting ShiDepartment of Radiology, Xiangya Hospital, Central South University, Hunan, China.
Mengsi LiDepartment of Radiology, Xiangya Hospital, Central South University, Hunan, China.
Ping Cai7T Magnetic Resonance Translational Medicine Research Center, Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Huarong ZhangInstitute of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Chen Liu7T Magnetic Resonance Translational Medicine Research Center, Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Wei Chen7T Magnetic Resonance Translational Medicine Research Center, Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China. landcw@tmmu.edu.cn.
Qingrui LiInstitute of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China. liqr621@163.com.
Xiaoming Li7T Magnetic Resonance Translational Medicine Research Center, Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China. 359261069@qq.com.ORCID http://orcid.org/0000-0002-7229-5915

Funding

Philippine Council for Industry, Energy, and Emerging Technology Research and Development CSTB2024NSCQ-KJFZZDX0036the National Natural Science Foundation of Chongqing CSTB2022NSCQMSX1371
6 · The paper itself

Abstract

objectiveTo develop a noninvasive MRI-based model for assessing intratumoral tertiary lymphoid structures (iTLSs) maturity in hepatocellular carcinoma (HCC) to guide therapeutic strategies. MATERIALS AND

methodsRetrospective analysis of 388 HCC patients from two centers included 338 in the training cohort and 50 in the external validation cohort. Patients were pathologically stratified into iTLSs-0 (n = 113), iTLSs-1 (n = 173), and iTLSs-2/3 (n = 32). External validation cohort included 20, 15, and 15 cases in each corresponding group. MRI features were analyzed using logistic regression to identify predictors of iTLSs maturity. The outcome cohort (n = 64) was used to assess the model's ability to identify candidates for tyrosine kinase inhibitors combined with immune checkpoint inhibitors (TKI-ICI) treatment. Nomogram performance was evaluated via area under the curve (AUC) with 95% confidence intervals (CIs).

resultsiTLSs-1 exhibited lower intratumoral hemorrhage (p < 0.0001) and higher tumor in vein (p = 0.001) versus iTLSs-0 (AUC = 0.713, 95% CI: 0.661-0.764). iTLSs-2/3 showed higher complete capsule (p < 0.001), lower satellite nodules (p = 0.049), and lower intratumoral artery (p < 0.001) compared to iTLSs-1 (AUC = 0.750, 95% CI: 0.701-0.799). External validation confirmed generalizability (AUC = 0.750 and 0.764). The integrated nomogram demonstrated good calibration and potential clinical utility. A nomogram-based threshold (probability > 0.5) was used to stratify iTLSs, and the stratification effectively predicted iTLSs-2/3 patients who benefited from postoperative TKI-ICI treatment compared to iTLSs-0 and iTLSs-1 (p = 0.013 and 0.010).

conclusionMRI features effectively stratify iTLSs maturity in HCC, offering a noninvasive tool to personalize treatment. KEY POINTS: Question Can preoperative MRI-based models assess intratumoral tertiary lymphoid structures maturity in hepatocellular carcinoma to guide tyrosine kinase inhibitors combined with immune checkpoint inhibitors treatment planning? Findings MRI-based intratumoral tertiary lymphoid structures stratification enables identification of hepatocellular carcinoma patients who may benefit from tyrosine kinase inhibitors combined with immune checkpoint inhibitors therapy. Clinical relevance This MRI-based model provides a preoperative tool to evaluate intratumoral tertiary lymphoid structures maturity in hepatocellular carcinoma, potentially guiding patient selection for tyrosine kinase inhibitor combined with immune checkpoint inhibitor treatment and supporting individualized therapeutic decision-making to improve outcomes.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsMagnetic Resonance ImagingTertiary Lymphoid StructuresAdultAgedFemaleHumansMaleMiddle AgedNomogramsRetrospective StudiesHepatocellular carcinomaImmune checkpoint inhibitorsMagnetic resonance imagingNomogramTertiary lymphoid structures

Identifiers

What Socratic holds

Textmetadata
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Registered trials

None linked

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 Socratic graph.