Evidence map›Paper›PMID 33393024›Full record

ArticleAnnals of surgical oncology2021

Software-Based Analysis of the Taller-Than-Wide Feature of High-Risk Thyroid Nodules.

Ming-Hsun Wu, Kuen-Yuan Chen, Argon Chen, Chiung-Nien Chen

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Article in Annals of surgical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Ming-Hsun WuDepartment of Surgery, National Taiwan University Hospital, No. 7, Chun Shan South Road, Taipei, Taiwan.
Kuen-Yuan ChenDepartment of Surgery, National Taiwan University Hospital, No. 7, Chun Shan South Road, Taipei, Taiwan.
Argon ChenGraduate Institute of Industrial Engineering, National Taiwan University, Taipei, Taiwan. achen@ntu.edu.tw.
Chiung-Nien ChenDepartment of Surgery, National Taiwan University Hospital, No. 7, Chun Shan South Road, Taipei, Taiwan. 010028@ntuh.gov.tw.
National Taiwan University Hospital · TWNational Taipei University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShape is one of the most important features in the diagnosis of malignant thyroid nodules. This characteristic has been described qualitatively, but only shapes that appear markedly different can be easily differentiated at first interpretation. This study sought to clarify whether software-based shape indexes are useful for the detection of thyroid cancers.

methodsIn the final analysis, 200 participants with 231 pathologically proven nodules participated in the study. Ultrasound features were assessed by clinicians. The tumor contour was auto-defined, and shape indexes were calculated using commercial software.

resultsOf the 231 nodules, 134 were benign and 97 were malignant. The presence of taller-than-wide (TTW) dimensions differed significantly between the benign and malignant thyroid tumors. Designation of TTW assessed by the software had a higher kappa value and proportional agreement than TTW assessed by clinicians. Disagreement between the clinician and software in designating nodules as TTW occurred for 28 nodules. The presence of other ultrasonic characteristics and small differences in the height and width measurements were causes for the incorrect interpretation of the TTW feature.

conclusionThe proposed software-based quantitative analysis of tumor shape seems to be promising as an important advance compared with conventional TTW features evaluated by operators because it allows for a more reliable and consistent distinction and is less influenced by other ultrasonic features.

Indexed as

Thyroid NeoplasmsThyroid NoduleDiagnosis, DifferentialHumansSensitivity and SpecificitySoftwareUltrasonography

Identifiers

PMID33393024
OpenAlexW3121083600

What OpenQuestion holds

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Registered trials

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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.