Evidence map›Paper›PMID 40536750›Full record

ArticleObesity surgery2025

Quantitative CT Imaging Radiomics-Based Prediction of Bone Mineral Density Changes After Sleeve Gastrectomy.

Deyao Hu, Jilu Ruan, Chengjian Liu, Zhengrong Liang, Xuetao Mu

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Article in Obesity surgery, 2025. 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
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

1 citing paper 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

5 authors.

Deyao HuDepartment of Medical Imaging, Qujing Second People's Hospital, Qujing City, Yunnan Province, Qujing, China.
Jilu RuanDepartment of Medical Imaging, Qujing Second People's Hospital, Qujing City, Yunnan Province, Qujing, China.
Chengjian LiuDepartment of Medical Imaging, Qujing Second People's Hospital, Qujing City, Yunnan Province, Qujing, China.
Zhengrong LiangDepartment of Medical Imaging, Qujing Second People's Hospital, Qujing City, Yunnan Province, Qujing, China.
Xuetao MuDepartment of Radiology, The Third Medical Center of the Chinese PLA General Hospital, Beijing, China. muxuetao091@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study focuses on extracting preoperative vertebral quantitative CT (QCT) radiomic features and developing models to predict changes in bone mineral density (BMD) after sleeve gastrectomy (SG).

methodsA retrospective analysis was conducted on 203 patients who underwent SG at Qujing Second People's Hospital between June 2022 and February 2024. Patients were divided into two groups based on changes in lumbar vertebra 1 QCT values: BMD decreased and BMD stable/increased. Data were randomly split into training and test sets (7:3 ratio) using stratified sampling. Radiomic features were extracted and normalized, and feature selection was performed using ICC, variance thresholding, mutual information, and LASSO. XGBoost models were built for clinical, radiomic, and combined data, with performance evaluated using ROC curves, AUC, and decision curve analysis (DCA).

resultsSignificant differences were observed in BMI, erector spinae average CT value, AST, and ALT between groups. Based on clinical and radiomic features, the AUC values of the XGBoost models in the training and test sets were as follows: clinical model 0.94, 0.88; radiomic model 0.98, 0.96; combined model 0.97, 0.96. DCA showed that the combined model provided the highest net benefit across all threshold values.

conclusionVertebral QCT combined with clinical features can effectively predict postoperative BMD changes after SG.

Indexed as

Bone DensityGastrectomyLumbar VertebraeObesity, MorbidTomography, X-Ray ComputedAdultFemaleHumansMaleMiddle AgedPredictive Value of TestsRadiomicsRetrospective StudiesBone mineral densityQuantitative computed tomographyRadiomicsSleeve gastrectomy

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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.