Evidence map›Paper›PMID 32245458›Full record

ArticleBMC endocrine disorders2020

Elastography for the diagnosis of high-suspicion thyroid nodules based on the 2015 American Thyroid Association guidelines: a multicenter study.

Li Hairu, Peng Yulan, Wang Yan, Ai Hong, Zhou Xiaodong, Yang Lichun, Yan Kun, Xiao Ying, Liu Lisha, Luo Baoming and 16 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC endocrine disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 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

26 authors at 17 institutions in 1 country.

Li HairuDepartment of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150086, Heilongjiang Province, China.
Peng YulanDepartment of Diagnostic Ultrasound and The National Key Discipline of Medical Imaging and Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
Wang YanDepartment of Ultrasound, Sixth People's Hospital Affiliated to Shanghai Communication University, Shanghai, China.
Ai HongDepartment of Ultrasound, First Affiliated Hospital of Xi'an Communication University, Xi'an, Shanxi Province, China.
Zhou XiaodongDepartment of Ultrasound, Xijing Hospital Affiliated to The Fourth Military Medical University, Xi'an, Shanxi Province, China.
Yang LichunDepartment of Ultrasound, Third Affiliated hospital of Kunming Medical University, Kunming, Yunnan Province, China.
Yan KunDepartment of Ultrasound, Tumor Hospital of Beijing University, Beijing, China.
Xiao YingDepartment of Ultrasound, Xiang-ya Hospital of Centre-south University, Changsha, Hunan Province, China.
Liu LishaDepartment of Ultrasound, Tumor Hospital Affiliated to Xinjiang Medical University, Urumqi, Xinjiang Province, China.
Luo BaomingDepartment of Ultrasound, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, Guangdong Province, China.
Yong QiangDepartment of Ultrasound, Beijing Anzhen Hospital Affiliated to Capital Medical University, Beijing, China.
Cong ShuzhenDepartment of Ultrasound, People's Hospital of Guangdong Province, 106 Zhongshan Second Road, Guangzhou, Guangdong, China.
Jiang ShuangquanDepartment of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150086, Heilongjiang Province, China.
Fu XinDepartment of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150086, Heilongjiang Province, China.
Ma BuyunDepartment of Diagnostic Ultrasound and The National Key Discipline of Medical Imaging and Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
Li YiDepartment of Ultrasound, Sixth People's Hospital Affiliated to Shanghai Communication University, Shanghai, China.
Zhang XixiDepartment of Ultrasound, First Affiliated Hospital of Xi'an Communication University, Xi'an, Shanxi Province, China.
Gong XueDepartment of Ultrasound, Xijing Hospital Affiliated to The Fourth Military Medical University, Xi'an, Shanxi Province, China.
Chen HaitaoDepartment of Ultrasound, Third Affiliated hospital of Kunming Medical University, Kunming, Yunnan Province, China.
Liu WenyingDepartment of Ultrasound, Tumor Hospital of Beijing University, Beijing, China.
Tang LingDepartment of Ultrasound, Xiang-ya Hospital of Centre-south University, Changsha, Hunan Province, China.
Lv XiaoyuDepartment of Ultrasound, Tumor Hospital Affiliated to Xinjiang Medical University, Urumqi, Xinjiang Province, China.
Zhao XinbaoDepartment of Ultrasound, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, Guangdong Province, China.
Li LiangDepartment of Ultrasound, Beijing Anzhen Hospital Affiliated to Capital Medical University, Beijing, China.
Gan KehongDepartment of Ultrasound, People's Hospital of Guangdong Province, 106 Zhongshan Second Road, Guangzhou, Guangdong, China.
Tian JiaweiDepartment of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150086, Heilongjiang Province, China. jwtian20041@163.com.
Air Force Medical University · CNCentral South University · CNFirst Hospital of Xi'an · CNGuangdong Provincial People's Hospital · CNHarbin Medical University · CNKunming Medical University · CNPeking University Cancer Hospital · CNSecond Affiliated Hospital of Harbin Medical University · CNSichuan University · CNBeijing Anzhen Hospital · CNCapital Medical University · CNPeking University · CNShanghai Sixth People's Hospital · CNSun Yat-sen Memorial Hospital · CNSun Yat-sen University · CNTumor Hospital of Xinjiang Medical University · CNXinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn accurate diagnosis for high-suspicion nodules based on the 2015 American Thyroid Association (ATA) guidelines would reduce unnecessary invasive examinations. Elastography is a useful tool for discriminating benign and malignant thyroid nodules. The aim of this study is to investigate the diagnostic efficiency of elastography for high-suspicion thyroid nodules based on the 2015 ATA guidelines in the Chinese population.

methodsThyroid nodules with high-suspicion characteristics based on the 2015 ATA guidelines were subjected to conventional ultrasound (US) and ultrasound strain elastography (USE) examinations at 12 hospitals from 4 geographic regions across China. Cytology/histology of thyroid nodules was used as a reference method. Receiver operating characteristic (ROC) curves were plotted to evaluate the diagnostic performance of the elasticity score (ES) and strain ratio (SR). Logistic regression analysis was used to determine the predictors of malignancy.

resultsOverall, a total of 1445 thyroid nodules (834 malignant, 611 benign) from 12 centers were included in the final analysis. The areas under the curve of the ES and SR were 0.828 and 0.732, respectively. The sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of the ES were 92.4, 60.7, 79.0, 76.3 and 85.5%, respectively, and those of the SR were 81.1, 50.1, 68.9, 65.9 and 67.9%, respectively. The combination of the Thyroid Imaging Reporting and Data System (TI-RADS) and ES led to a significant increase in the sensitivity and NPV (97.1 and 91.9%, respectively) compared with the TI-RADS alone. Logistic regression analysis showed that microcalcifications (OR = 5.290), taller than wide (OR = 12.710), irregular margins (OR = 10.117), extrathyroidal extension (ETE; OR = 6.412), the ES (OR = 3.741) and the SR (OR = 1.083) were independent predictors of malignant thyroid nodules. The sensitivity, specificity, accuracy, PPV and NPV of the ES were all superior in nodules ≥1 cm than in those < 1 cm (95.0% vs 90.4, 68.8% vs 56.8, 85.9% vs 74.4, 85.2% vs 69.9, and 87.8% vs 84.2%, respectively).

conclusionsElastography combined with the ES is a valuable tool for the assessment of high-suspicion thyroid nodules based on the 2015 ATA guidelines, especially in nodules ≥1 cm.

Indexed as

AdultElasticity Imaging TechniquesFemaleFollow-Up StudiesHumansMaleMiddle AgedPractice Guidelines as TopicPrognosisThyroid NeoplasmsThyroid NoduleCancerElastographyThyroidUltrasound

Identifiers

PMID32245458
PMCPMC7118939
OpenAlexW3014954898

What OpenQuestion holds

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LicenceCC BY
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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.