Evidence map›Paper›PMID 37368104›Full record

ArticleEuropean radiology2023

Radiomics nomogram for the prediction of microvascular invasion of HCC and patients' benefit from postoperative adjuvant TACE: a multi-center study.

Kun Zhang, Lei Zhang, Wen-Cui Li, Shuang-Shuang Xie, Ying-Zhu Cui, Li-Ying Lin, Zhi-Wei Shen, Hui-Mao Zhang, Shuang Xia, Zhao-Xiang Ye and 2 more

Open access · hybridAbstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 3% 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

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

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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

12 authors at 5 institutions in 1 country.

Kun ZhangDepartment of Radiology, Medical Imaging Institute of Tianjin, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, 300192, China.
Lei ZhangDepartment of Radiology, The First Hospital of Jilin University, No. 71 Xinmin Street, Changchun, 130012, China.
Wen-Cui LiDepartment of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
Shuang-Shuang XieDepartment of Radiology, Tianjin First Central Hospital, Tianjin Institute of Imaging Medicine, 24 Fukang Road, Nankai District, Tianjin, 300192, China.
Ying-Zhu CuiDepartment of Radiology, The First Hospital of Jilin University, No. 71 Xinmin Street, Changchun, 130012, China.
Li-Ying LinDepartment of Radiology, Tianjin First Central Hospital, Tianjin Institute of Imaging Medicine, 24 Fukang Road, Nankai District, Tianjin, 300192, China.
Zhi-Wei ShenPhilips Healthcare, Beijing, The World Profit Centre, No. 16 Tianze Road, Chaoyang District, Beijing, 100125, China.
Hui-Mao ZhangDepartment of Radiology, The First Hospital of Jilin University, No. 71 Xinmin Street, Changchun, 130012, China.
Shuang XiaDepartment of Radiology, Medical Imaging Institute of Tianjin, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, 300192, China.
Zhao-Xiang YeDepartment of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China. zye@tmu.edu.cn.
Kan HeDepartment of Radiology, The First Hospital of Jilin University, No. 71 Xinmin Street, Changchun, 130012, China. hekan@jlu.edu.cn.
Wen ShenDepartment of Radiology, Tianjin First Central Hospital, Tianjin Institute of Imaging Medicine, 24 Fukang Road, Nankai District, Tianjin, 300192, China. shen_hos@163.com.ORCID http://orcid.org/0000-0003-2695-7890
Jilin University · CNTianjin First Center Hospital · CNNankai University · CNTianjin Medical University Cancer Institute and Hospital · CNPhilips (China) · CN

Funding

China International Medical Exchange Foundation Chinese Medical Imaging International Exchange Special Fund Z-2014-07-2003-03Innovative Research Group Project of the National Natural Science Foundation of China 81901710Jilin Province Science and Technology Department YDZJ202201ZYTS679National Natural Science Fund of China 81873888Natural Scientific Foundation of Tianjin 22JCQNJC00920Northeast university-Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education 3D4206967428Science and Technology fund of Tianjin QN20024Science and Technology fund of Tianjin TJWJ2021QN011
6 · The paper itself

Abstract

objectivesTo evaluate the performance of a radiomics nomogram developed based on gadolinium-ethoxybenzyl-diethylenetriamine penta-acetic acid (Gd-EOB-DTPA) MRI for preoperative prediction of microvascular invasion (MVI) of hepatocellular carcinoma (HCC), and to identify patients who may benefit from the postoperative adjuvant transarterial chemoembolization (PA-TACE).

methodsA total of 260 eligible patients were retrospectively enrolled from three hospitals (140, 65, and 55 in training, standardized external, and non-standardized external validation cohort). Radiomics features and image characteristics were extracted from Gd-EOB-DTPA MRI image before hepatectomy for each lesion. In the training cohort, a radiomics nomogram which incorporated the radiomics signature and radiological predictors was developed. The performance of the radiomics nomogram was assessed with respect to discrimination calibration, and clinical usefulness with external validation. A score (m-score) was constructed to stratify the patients and explored whether it could accurately predict patient who benefit from PA-TACE.

resultsA radiomics nomogram integrated with the radiomics signature, max-D(iameter)  > 5.1 cm, peritumoral low intensity (PTLI), incomplete capsule, and irregular morphology had favorable discrimination in the training cohort (AUC = 0.982), the standardized external validation cohort (AUC = 0.969), and the non-standardized external validation cohort (AUC = 0.981). Decision curve analysis confirmed the clinical usefulness of the novel radiomics nomogram. The log-rank test revealed that PA-TACE significantly decreased the early recurrence in the high-risk group (p = 0.006) with no significant effect in the low-risk group (p = 0.270).

conclusionsThe novel radiomics nomogram combining the radiomics signature and clinical radiological features achieved preoperative non-invasive MVI risk prediction and patient benefit assessment after PA-TACE, which may help clinicians implement more appropriate interventions. CLINICAL RELEVANCE STATEMENT: Our radiomics nomogram could represent a novel biomarker to identify patients who may benefit from the postoperative adjuvant transarterial chemoembolization, which may help clinicians to implement more appropriate interventions and perform individualized precision therapies. KEY POINTS: • The novel radiomics nomogram developed based on Gd-EOB-DTPA MRI achieved preoperative non-invasive MVI risk prediction. • An m-score based on the radiomics nomogram could stratify HCC patients and further identify individuals who may benefit from the PA-TACE. • The radiomics nomogram could help clinicians to implement more appropriate interventions and perform individualized precision therapies.

Indexed as

Carcinoma, HepatocellularChemoembolization, TherapeuticLiver NeoplasmsGadolinium DTPAHumansNomogramsRetrospective StudiesGadolinium DTPAgadolinium ethoxybenzyl DTPAHepatocellular carcinomaMagnetic resonance imagingNeoplasm invasivenessNomogram

Identifiers

PMID37368104
OpenAlexW4382182130

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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.