Evidence map›Paper›PMID 39349660›Full record

ArticlePediatric radiology2024

Prediction of feeding difficulties in neonates with hypoxic-ischemic encephalopathy using magnetic resonance imaging-derived radiomics features.

Yaqin Xia, Mingshu Yang, Tianyang Qian, Jiayu Zhou, Mei Bai, Siqi Luo, Chaogang Lu, Yinghao Zhu, Laishuan Wang, Zhongwei Qiao

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Article in Pediatric radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yaqin XiaDepartment of Radiology, Children's Hospital of Fudan University, No. 399 Wanyuan Road, Minhang District, Shanghai, China.
Mingshu YangDepartment of Radiology, Children's Hospital of Fudan University, No. 399 Wanyuan Road, Minhang District, Shanghai, China.
Tianyang QianNational Health Commission Key Laboratory of Neonatal Diseases, Department of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Jiayu ZhouNational Health Commission Key Laboratory of Neonatal Diseases, Department of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Mei BaiDepartment of Radiology, Children's Hospital of Fudan University, No. 399 Wanyuan Road, Minhang District, Shanghai, China.
Siqi LuoDepartment of Radiology, Children's Hospital of Fudan University, No. 399 Wanyuan Road, Minhang District, Shanghai, China.
Chaogang LuDepartment of Radiology, Children's Hospital of Fudan University, No. 399 Wanyuan Road, Minhang District, Shanghai, China.
Yinghao ZhuInstitute of Artificial Intelligence, Beihang University, Beijing, China.
Laishuan WangNational Health Commission Key Laboratory of Neonatal Diseases, Department of Neonatology, Children's Hospital of Fudan University, Shanghai, China.
Zhongwei QiaoDepartment of Radiology, Children's Hospital of Fudan University, No. 399 Wanyuan Road, Minhang District, Shanghai, China. zqiao@fudan.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe mechanisms behind brain and spinal cord injuries in hypoxic-ischemic encephalopathy (HIE) and associated feeding difficulties are unclear, with previous magnetic resonance imaging (MRI) attempts yielding inconclusive results.

objectiveWe aim to evaluate an MRI radiomics model for predicting feeding difficulties in HIE infants. Additionally, we investigate changes in predictive capability after incorporating the duration of mechanical ventilation and the timing of MRI examination. MATERIALS AND

methodsRetrospective study with 151 HIE infants (January 2013 to December 2021), randomly divided into training and validation sets. Radiomics features extracted from basal ganglia-thalamus and brainstem in T1-weighted and T2-weighted MRI. Established single-modality, single-site, and multimodality/multisite models. Receiver operating characteristic analysis and area under the curve evaluated models. Decision curve analysis assessed changes in predictive capability.

resultsThe combined radiomics model of the basal ganglia-thalamus and brainstem regions on the T2-weighted imaging demonstrated superior performance (area under the curve: 0.958 and 0.875 for training and validation, respectively). Combining scores with duration of mechanical ventilation and MRI examination time in a calibration plot model improved and stabilized performance, showing high fitting and clinical utility. Decision curve analysis favored the combined calibration plot model.

conclusionThe MRI-based radiomics model predicts feeding difficulties in HIE infants, with basal ganglia-thalamus and brainstem as relevant factors. The combined calibration plot model exhibits the highest clinical predictive efficacy.

Indexed as

Hypoxia-Ischemia, BrainMagnetic Resonance ImagingFemaleHumansInfant, NewbornMalePredictive Value of TestsRadiomicsRespiration, ArtificialRetrospective StudiesFeeding difficultiesHypoxic-ischemic encephalopathyMagnetic resonance imagingRadiomics

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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.