Evidence map›Paper›PMID 42249415›Full record

ArticleBMC endocrine disorders2026

The relationship between the diagnostic performance of dual-energy CT quantitative parameters in thyroid cancer, cervical lymph node metastasis and prognosis.

Guangxi Liang, Shimin Yang, Banggao Ni, Yuetian Zhang

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Article in BMC endocrine disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 authors.

Guangxi LiangDepartment of Center for Diagnosis and Treatment of Thyroid Diseases, Deyang City People's Hospital, No.173, Section 1, Taishan North Road, Jingyang District, Deyang, Sichuan Province, 618000, China. 15282824495@163.com.
Shimin YangDepartment of Health Management Center, Deyang City People's Hospital, Sichuan Province, Deyang, 618000, China.
Banggao NiDepartment of Center for Diagnosis and Treatment of Thyroid Diseases, Deyang City People's Hospital, No.173, Section 1, Taishan North Road, Jingyang District, Deyang, Sichuan Province, 618000, China.
Yuetian ZhangDepartment of Center for Diagnosis and Treatment of Thyroid Diseases, Deyang City People's Hospital, No.173, Section 1, Taishan North Road, Jingyang District, Deyang, Sichuan Province, 618000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to investigate the relationship between quantitative parameters of dual-energy computed tomography (DECT) and its diagnostic performance in thyroid cancer, cervical lymph node metastasis, and prognosis. The objective is to provide more precise information for the early diagnosis and treatment of clinical thyroid cancer.

methodsWe collected clinical data from 80 patients with thyroid cancer, including 40 in the stage IV thyroid cancer group and 40 in the stage III thyroid cancer group, used dual-energy CT technology to scan their neck areas, and obtained relevant quantitative parameters, including enhanced CT values, iodine load, lipid load, etc. We then compared these parameters with clinicopathological data and analyzed their application value in thyroid cancer diagnosis, cervical lymph node metastasis, and prognostic assessment.

resultsThe average CT enhancement value and iodine load in the stage IV thyroid cancer group were significantly higher than those in the stage III thyroid cancer group (185.4 ± 20.1 HU vs. 155.7 ± 10.5 HU, p < 0.001;) 6.8 ± 1.2 mg/cm³vs. 3.2 ± 0.8 mg/cm³, p < 0.001. The Kaplan-Meier survival curve showed that individuals with CT enhancement values exceeding a specific threshold (145Hu) exhibited longer disease-free survival (DFS) and overall survival (OS). The Cox proportional hazards model indicated that CT enhancement values and iodine load were negatively correlated with DFS and OS. The results of multivariate logistic regression analysis showed that CT enhancement value, gender, lymph node stage and iodine load were the main risk factors affecting DFS and OS (p < 0.05), and CT had an independent impact on thyroid prognosis. GPower analysis showed that the sample size of this study is reasonable. The linearly weighted Kappa value was 0.963, and the consistency of diagnoses among different doctors was good (p < 0.05).

conclusionDual-energy CT quantitative parameters hold significant clinical value in the early diagnosis of thyroid cancer, the detection of cervical lymph node metastasis, and prognosis assessment. This study offers clinicians a comprehensive evaluation method that is anticipated to enhance treatment strategies and improve prognostic predictions for patients with thyroid cancer. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Lymph NodesThyroid NeoplasmsTomography, X-Ray ComputedAdultFemaleFollow-Up StudiesHumansLymphatic MetastasisMaleMiddle AgedNeckPrognosisRetrospective StudiesCervical lymph nodesDiagnostic performanceDual-energy CTPrognosisQuantitative parametersThyroid cancer

Identifiers

PMID42249415
PMCPMC13474952

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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.