Evidence map›Paper›PMID 39287160›Full record

ArticleRadiology and oncology2024

The superior value of radiomics to sonographic assessment for ultrasound-based evaluation of extrathyroidal extension in papillary thyroid carcinoma: a retrospective study.

Hui Zhu, Hongxia Luo, Yanyan Li, Yuhua Zhang, Zhijing Wu, Yan Yang

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Article in Radiology and oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

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0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
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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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. EnhancingQuantitative imaging in medicine and surgery · 2026
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4 · The record

Corrections and comments

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

6 authors.

Hui ZhuDepartment of Ultrasound, the Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Hongxia LuoDepartment of Ultrasound, the Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Yanyan LiDepartment of Ultrasound, the Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Yuhua ZhangDepartment of Ultrasound, the Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Zhijing WuDepartment of Statistical Science, University College London, London, United Kingdom.
Yan YangDepartment of Ultrasound, the Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExtrathyroidal extension was related with worse survival for patients with papillary thyroid carcinoma. For its preoperative evaluation, we measured and compared the predicting value of sonographic method and ultrasonic radiomics method in nodules of papillary thyroid carcinoma. PATIENTS AND

methodsData from 337 nodules were included and divided into training group and validation group. For ultrasonic radiomics method, a best model was constructed based on clinical characteristics and ultrasonic radiomic features. The predicting value was calculated then. For sonographic method, the results were calculated using all samples.

resultsFor ultrasonic radiomics method, we constructed 9 models and selected the extreme gradient boosting model for its highest accuracy (0.77) and area under curve (0.813) in validation group. The accuracy and area under curve of sonographic method was 0.70 and 0.569. Meanwhile. We found that the top-6 important features of xgboost model included no clinical characteristics, all of whom were high-dimensional radiomic features.

conclusionsThe study showed the superior value of ultrasonic radiomics method to sonographic method for preoperative detection of extrathyroidal extension in papillary thyroid carcinoma. Furthermore, high-dimensional radiomic features were more important than clinical characteristics.

Indexed as

Thyroid Cancer, PapillaryThyroid NeoplasmsUltrasonographyAdultAgedFemaleHumansMaleMiddle AgedNeoplasm InvasivenessPredictive Value of TestsRadiomicsRetrospective Studiesextrathyroidal extensionpapillary thyroid carcinomasonographyultrasonic radiomics

Identifiers

PMID39287160
PMCPMC11432181

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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.