Evidence map›Paper›PMID 32041119›Full record

ArticleCancers2020

Multi-Reader Multi-Case Study for Performance Evaluation of High-Risk Thyroid Ultrasound with Computer-Aided Detection.

Ming-Hsun Wu, Kuen-Yuan Chen, Shyang-Rong Shih, Ming-Chih Ho, Hao-Chih Tai, King-Jen Chang, Argon Chen, Chiung-Nien Chen

Abstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

8 citing papers in PubMed.

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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

8 authors.

Ming-Hsun WuDepartment of Surgery, National Taiwan University Hospital, Taipei 10002, Taiwan.
Kuen-Yuan ChenDepartment of Surgery, National Taiwan University Hospital, Taipei 10002, Taiwan.
Shyang-Rong ShihDepartment of Internal Medicine, National Taiwan University, Taipei 10002, Taiwan.
Ming-Chih HoDepartment of Surgery, National Taiwan University Hospital, Taipei 10002, Taiwan.
Hao-Chih TaiDepartment of Surgery, National Taiwan University Hospital, Taipei 10002, Taiwan.
King-Jen ChangDepartment of Surgery, National Taiwan University Hospital, Taipei 10002, Taiwan.
Argon ChenGraduate Institute of Industrial Engineering, National Taiwan University, Taipei 10617, Taiwan.
Chiung-Nien ChenDepartment of Surgery, National Taiwan University Hospital, Taipei 10002, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physicians use sonographic characteristics as a reference for the possible diagnosis of thyroid cancers. The purpose of this study was to investigate whether physicians were more effective in their tentative diagnosis based on the information provided by a computer-aided detection (CAD) system. A computer compared software-defined and physician-adjusted tumor loci. A multicenter, multireader, and multicase (MRMC) study was designed to compare clinician performance without and with the use of CAD. Interobserver variability was also analyzed. Excellent, satisfactory, and poor segmentations were observed in 25.3%, 58.9%, and 15.8% of nodules, respectively. There were 200 patients with 265 nodules in the study set. Nineteen physicians scored the malignancy potential of the nodules. The average area under the curve (AUC) of all readers was 0.728 without CAD and significantly increased to 0.792 with CAD. The average standard deviation of the malignant potential score significantly decreased from 18.97 to 16.29. The mean malignant potential score significantly decreased from 35.01 to 31.24 for benign cases. With the CAD system, an additional 7.6% of malignant nodules would be suggested for further evaluation, and biopsy would not be recommended for an additional 10.8% of benign nodules. The results demonstrated that applying a CAD system would improve clinicians' interpretations and lessen the variability in diagnosis. However, more studies are needed to explore the use of the CAD system in an actual ultrasound diagnostic situation where much more benign thyroid nodules would be seen.

Indexed as

computer-aided detectionthyroid cancerthyroid noduleultrasonography

Identifiers

PMID32041119
PMCPMC7072687

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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.