Evidence map›Paper›PMID 37848807›Full record

ArticleBMC cancer2023

Development and validation a radiomics nomogram for predicting thymidylate synthase status in hepatocellular carcinoma based on Gd-DTPA contrast enhanced MRI.

Zongren Ding, Yijun Wu, Guoxu Fang, Zhaowang Lin, Kongying Lin, Jun Fu, Qizhen Huang, Yanyan Tang, Wuyi You, Jingfeng Liu and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 71% 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

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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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Zongren Ding *Department of Hepatopancreatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Xihong Road 312, Fuzhou, 350025, China.
Yijun Wu *Department of Hepatopancreatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Xihong Road 312, Fuzhou, 350025, China.
Guoxu Fang *Department of Hepatopancreatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Xihong Road 312, Fuzhou, 350025, China.
Zhaowang Lin *Department of Radiology, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China.
Kongying LinDepartment of Hepatopancreatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Xihong Road 312, Fuzhou, 350025, China.
Jun FuDepartment of Hepatopancreatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Xihong Road 312, Fuzhou, 350025, China.
Qizhen HuangDepartment of Radiotherapy, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China.
Yanyan TangDepartment of Radiology, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China.
Wuyi YouDepartment of Radiology, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China.
Jingfeng LiuFujian Provincial Cancer Hospital, Fuzhou, 350025, China.
Yongyi ZengDepartment of Hepatopancreatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Xihong Road 312, Fuzhou, 350025, China. lamp197311@126.com.
Fujian Medical University · CNMengchao Hepatobiliary Hospital · CNFujian Provincial Cancer Hospital · CN

Funding

Science and Technology Planning Project of Fuzhou 2020-WS-106
6 · The paper itself

Abstract

objectivesThe purpose of this study was to develop and validate a radiomics nomogram for predicting thymidylate synthase (TYMS) status in hepatocellular carcinoma (HCC) by using Gd-DTPA contrast enhanced MRI.

methodsWe retrospectively enrolled 147 consecutive patients with surgically confirmed HCC and randomly allocated to training and validation set (7:3). The TYMS status was immunohistochemical determined and classified into low TYMS (positive cells ≤ 25%) and high TYMS (positive cells > 25%) groups. Radiomics features were extracted from the arterial phases and portal venous phase of Gd-DTPA contrast enhanced MRI. Least absolute shrinkage and selection operator (LASSO) were applied for generating the Rad score. Clinical data and MRI findings were assessed to build a clinical model. Rad score combined with clinical features was used to construct radiomics nomogram.

resultsA total of 2260 features were extracted and reduced to 7 features as the most important discriminators to build the Rad score. InAFP was identified as the only independent clinical factors for TYMS status. The radiomics nomogram showed good discrimination in training (AUC, 0.759; 95% CI 0.665-0.838) and validation set (AUC, 0.739; 95% CI 0.585-0.860), and showed better discrimination capability (P < 0.05) compared with clinical model in training (AUC, 0.656; 95% CI 0.555-0.746) and validation set (AUC, 0.622; 95% CI 0.463-0.764).

conclusionsThe radiomics nomogram shows favorable predictive efficacy for TYMS status in HCC, which might be helpful for the personalized treatment of HCC.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsGadolinium DTPAHumansMagnetic Resonance ImagingNomogramsRetrospective StudiesThymidylate SynthaseGadolinium DTPAThymidylate SynthaseHepatocellular carcinomaNomogramRadiomicsThymidylate synthase

Identifiers

PMID37848807
PMCPMC10580573
OpenAlexW4387703378

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LicenceCC BY
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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.