Evidence map›Paper›PMID 41923032›Full record

ArticleBMC medical imaging2026

Shear wave elastography can improve the preoperative diagnosis of parathyroid carcinoma or atypical parathyroid tumor: initial experience.

Ruigang Lu, Teng Zhao, Dichen Guo, Bojun Wei, Wei Zhao

Abstract read
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Article in BMC medical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. The Diagnostic Accuracy of [Diagnostics (Basel, Switzerland) · 2026
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ruigang LuDepartment of Ultrasound, Beijing Chaoyang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China.
Teng ZhaoDepartment of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China.
Dichen GuoDepartment of Ultrasound, Beijing Chaoyang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China.
Bojun WeiDepartment of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China. weibojun1015@126.com.ORCID 0000-0003-2566-0139
Wei ZhaoDepartment of Ultrasound, Beijing Chaoyang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China. zwvivid@126.com.ORCID 0000-0002-7571-4855

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParathyroid carcinoma (PC) and atypical parathyroid tumor (APT) are rare malignant lesions characterized by high recurrence and metastasis rates, and accurate preoperative diagnosis remains a clinical challenge. The purpose of this study was to explore the diagnostic value of preoperative grayscale ultrasound combined with shear wave elastography (SWE) for such lesions.

methodsIn this retrospective case-control study, patients with primary hyperparathyroidism and suspicious parathyroid abnormality on ultrasonography were recruited. All the lesions were assessed by SWE before surgery. Sonographic features and SWE performance along with demographic and related clinical parameters between PC/APT and PA groups were analyzed.

resultsThis study included 21 patients with PC or APT matched to 84 patients with PA who underwent parathyroid surgery. The best subset selection method and multiple logistic regression analysis identified the sonographic features of intra-nodal fibrous bands and the ratio of mean shear wave velocity in tumor (SWVmean)/shear wave velocity in thyroid parenchyma (SWVth) as independent factors for PC/APT prediction (odds ratio [OR] = 38.536, 95% confidence interval [CI] = 1.188–1250.066, P = 0.04; OR = 248.783, 95%CI = 1.314–47100.432, P = 0.04, respectively). On receiver operating characteristic curve analysis, the optimal cutoff value of the SWVmean/SWVth ratio for predicting PC/APT was 1.25, with a sensitivity of 83.33% and specificity of 95.56% (AUC = 0.894; 95% CI, 0.783–0.960; P < 0.0001). Combined use of the SWVmean/SWVth ratio and intra-nodal fibrous bands showed significantly improved performance for the identification of PC/APT (C statistic = 0.976, P = 0.02; sensitivity = 1; specificity = 0.889; positive predictive value = 0.706, negative predictive value = 1).

conclusionsSonographic features of combined intra-nodal fibrous bands and the SWVmean/SWVth ratio are suitable markers for accurate preoperative prediction of PC or APT. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Elasticity Imaging TechniquesParathyroid NeoplasmsAdultAgedCase-Control StudiesFemaleHumansMaleMiddle AgedPreoperative CareRetrospective StudiesSensitivity and SpecificityAtypical parathyroid tumorParathyroid adenomaParathyroid carcinomaPrimary hyperparathyroidismShear wave elastographyShear wave velocity

Identifiers

PMID41923032
PMCPMC13045121

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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.