Evidence map›Paper›PMID 40065220›Full record

ArticleBMC medical imaging2025

CT-based radiomics models using intralesional and different perilesional signatures in predicting the microvascular density of hepatic alveolar echinococcosis.

Juan Hou, Simiao Zhang, Shouxian Li, Zicheng Zhao, Longfei Zhao, Tieliang Zhang, Wenya Liu

Abstract read
In one paragraph

Article in BMC medical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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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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

2 citing papers in PubMed.

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4 · The record

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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

7 authors.

Juan HouImaging Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830011, Xinjiang, China.
Simiao ZhangImaging Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830011, Xinjiang, China.
Shouxian LiImaging Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830011, Xinjiang, China.
Zicheng ZhaoCanon Medical Systems (China), Beijing, 100015, China.
Longfei ZhaoCanon Medical Systems (China), Beijing, 100015, China.
Tieliang ZhangImaging Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830011, Xinjiang, China.
Wenya LiuImaging Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830011, Xinjiang, China. 13999202977@163.com.

Funding

National Natural Science Foundation of China 81974263
6 · The paper itself

Abstract

objectivesTo evaluate the performance of CT-based intralesional combined with different perilesional radiomics models in predicting the microvascular density (MVD) of hepatic alveolar echinococcosis (HAE).

methodsThis study retrospectively analyzed preoperative CT data from 303 patients with HAE confirmed by surgical pathology (MVD positive, n = 182; MVD negative, n = 121). The patients were randomly divided into the training cohort (n = 242) and test cohort (n = 61) at a ratio of 8:2. The radiomics features were extracted from CT images on the portal vein phase. Four radiomics models were constructed based on gross lesion volume (GLV), gross combined 10 mm perilesional volume (GPLV

resultsAmong the four radiomics models, the GPLV

conclusionCT-based GPLV

Indexed as

Echinococcosis, HepaticMicrovascular DensityTomography, X-Ray ComputedAdolescentAdultAgedEchinococcosisFemaleHumansLiverMaleMiddle AgedNomogramsRadiomicsRetrospective StudiesROC CurveComputed tomographyHepatic alveolar echinococcosisMachine learningMicrovascular densityRadiomics

Identifiers

PMID40065220
PMCPMC11895365

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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.