Evidence map›Paper›PMID 40172717›Full record

ArticleNeurosurgical review2025

Improved pre-surgical localization of epileptogenic tubers in pediatric tuberous sclerosis complex using mean apparent propagator MRI.

Hui Sun, Zhiping Yan, Junhang Gao, Yingzhi Zheng, Yueyu Zheng, Yang Song, Jin Fang, Hong Qu, Yingying Song, Yanzhao Diao and 2 more

Abstract read
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In one paragraph

Article in Neurosurgical review, 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

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

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

12 authors.

Hui SunDepartment of Radiology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, Guangdong, CN, China.
Zhiping YanDepartment of Radiology, Fujian Medical University Xiamen Humanity Hospital, Xiamen, Fujian, CN, China.
Junhang GaoDepartment of Radiology, Fujian Medical University Xiamen Humanity Hospital, Xiamen, Fujian, CN, China.
Yingzhi ZhengDepartment of Radiology, Fujian Medical University Xiamen Humanity Hospital, Xiamen, Fujian, CN, China.
Yueyu ZhengDepartment of Radiology, Fujian Medical University Xiamen Humanity Hospital, Xiamen, Fujian, CN, China.
Yang SongMR Scientific Marketing, Siemens Healthineers Ltd, Shanghai, CN, China.
Jin FangDepartment of Radiology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, Guangdong, CN, China.
Hong QuDepartment of Radiology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, Guangdong, CN, China.
Yingying SongDepartment of Radiology, Affiliated Hospital of Jianghan University, Wuhan, Hubei, CN, China.
Yanzhao DiaoDepartment of Radiology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, Guangdong, CN, China.
Sulian Su *Department of Radiology, Fujian Medical University Xiamen Humanity Hospital, Xiamen, Fujian, CN, China. susulian9111@163.com.
Guihua Jiang *Department of Radiology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, Guangdong, CN, China. jianggh@gd2h.org.cn.

Funding

Major Research Plan of the National Natural Science Foundation of China No. 2022YFC2410000National Natural Science Foundation of China No. 82271948the Guangzhou Key Laboratory of Molecular Functional Imaging and Artificial Intelligence for Major Brain Diseases No. 20220102037320
6 · The paper itself

Abstract

Surgery is the most effective treatment for controlling refractory epilepsy in Tuberous Sclerosis Complex (TSC) patients, and accurate pre-surgical localization of epileptogenic tubers is crucial for improving outcomes. However, identifying epileptogenic tubers using conventional MRI remains challenging. This study aimed to evaluate the potential of combining Diffusion Tensor Imaging (DTI) and Mean Apparent Propagator (MAP) MRI for non-invasive tuber identification, enhancing pre-surgical assessment. This prospective study included 42 children with TSC who underwent preoperative MRI, including DTI and MAP sequences. A total of 342 cortical tubers were segmented and split into 70% training and 30% validation sets. LASSO regression was used for feature selection, and a multi-parametric logistic regression model was developed. The combined DTI-MAP model achieved an AUC of 0.83 (95% CI: 0.75-0.91) in the validation cohort, outperforming DTI alone (AUC = 0.769) and MAP alone (AUC = 0.804). Key predictive features included tuber volume (OR = 1.573, p = 0.03), Axial Diffusivity (AD, OR = 31.35, p = 0.011), Fractional Anisotropy (FA, OR = 0.26, p = 0.005), and Mean Squared Displacement (MSD, OR = 0.045, p = 0.023). A nomogram was constructed from these features, providing a visual tool for risk estimation and showing good calibration. Combining DTI and MAP MRI parameters significantly improves non-invasive identification of epileptogenic tubers, providing better guidance for surgical planning and improving long-term seizure control and clinical outcomes in children with TSC.

Indexed as

Diffusion Tensor ImagingDrug Resistant EpilepsyEpilepsyMagnetic Resonance ImagingPreoperative CareTuberous SclerosisAdolescentChildChild, PreschoolFemaleHumansInfantMaleProspective StudiesChild.Diffusion magnetic resonance imagingEpilepsyEpileptogenic tuberTuberous sclerosis complex

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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.