Evidence map›Paper›PMID 32661879›Full record

ArticleJapanese journal of radiology2020

Can contrast-enhancement computed tomography texture and histogram analyses help to differentiate malignant from benign thyroid nodules?

Wei Guo, Wei Bai, Jianfang Liu, Dehong Luo, Huishu Yuan

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Article in Japanese journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

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4citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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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.

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3 · Its place in the literature

Who cites it

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

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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.

Wei GuoDepartment of Radiology, Peking University Third Hospital, 49 North Garden Rd, Haidian District, Beijing, 100191, People's Republic of China.
Wei BaiDepartment of Radiology, Jian Gong Hospital, Beijing, 100053, People's Republic of China.
Jianfang LiuDepartment of Radiology, Peking University Third Hospital, 49 North Garden Rd, Haidian District, Beijing, 100191, People's Republic of China.
Dehong LuoDepartment of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, People's Republic of China. cjr_luodehong@163.com.
Huishu YuanDepartment of Radiology, Peking University Third Hospital, 49 North Garden Rd, Haidian District, Beijing, 100191, People's Republic of China.

Funding

National Key Research and Development Program (2017YFC0113403) 2017YFC0113403
6 · The paper itself

Abstract

purposeWe aimed to determine the ability of contrast-enhanced computed tomography (CECT) texture and histogram analyses to differentiate between benign and malignant thyroid nodules. MATERIALS AND

methodsThe clinical data from 49 patients with 60 thyroid nodules were retrospectively analyzed. Nodules were classified as malignant or benign based on their histological results. Five texture and histogram parameters of thyroid nodules from CECT images, including entropy, mean, standard deviation, skewness, and kurtosis, were compared and analyzed between the two groups. Regions of interest in axial CECT images were delineated manually by two radiologists. Interobserver agreement in texture and histogram parameters between the two radiologists was assessed using the intraclass correlation coefficient (ICC). The Mann-Whitney U test and receiver operating characteristic curve analysis were conducted to estimate the diagnostic capability of texture parameters.

resultsInterobserver reproducibility (ICC = 0.919-0.969) was excellent. Among the 60 nodules, 36 were malignant and 24 were benign. Entropy of malignant thyroid nodules was significantly higher compared with benign thyroid nodules (P = 0.005). A trend toward a higher kurtosis value was observed in malignant thyroid nodules (P = 0.062). When an entropy value of 6.55 was used as a cutoff for differentiating benign from malignant thyroid nodules, the optimal area under the curve, sensitivity, and specificity were 0.716 (0.585-0.847, 95% confidence interval, P = 0.005), 75.0%, and 62.5%, respectively.

conclusionsCECT texture and histogram analyses can be used to differentiate benign from malignant thyroid nodules.

Indexed as

AdolescentAdultAgedDiagnosis, DifferentialFemaleHumansMaleMiddle AgedObserver VariationReproducibility of ResultsRetrospective StudiesROC CurveThyroid NeoplasmsThyroid NoduleTomography, X-Ray ComputedYoung AdultComputed tomographyTexture and histogram analysisThyroid nodules

Identifiers

PMID32661879

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