Evidence map›Paper›PMID 35792982›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2022

The application value of CDFI and SMI combined with serological markers in distinguishing benign and malignant thyroid nodules.

Fang Li, Wei Sun, Lihua Liu, Zhen Meng, Jianli Su

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Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Predictive value of real-time shear wave elastography combined with serum thyroglobulin in thyroid cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Nomogram for preoperative estimation risk of lateral cervical lymph node metastasis in papillary thyroid carcinoma: a multicenter study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023
    Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Fang LiDepartment of Clinical Laboratory, Yantaishan Hospital, Yantai, 264000, Shandong, China.
Wei SunOutpatient Department, Qingdao Eighth People's Hospital, Qingdao, 266100, Shandong, China.
Lihua LiuDepartment of ICU, The Affiliated Qingdao Central Hospital of Qingdao University, The Second Affiliated Hospital of Medical College of Qingdao University, Qingdao, 266042, Shandong, China.
Zhen MengDepartment of Ultrasound, Zhangqiu District People's Hospital, Jinan, 250200, Shandong, China.
Jianli SuDepartment of Clinical Laboratory, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, 266035, Shandong, China. Sujianli_ql@163.com.ORCID http://orcid.org/0000-0002-7704-3768

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study is to explore the application value of CDFI and SMI combined with serological markers in distinguishing benign and malignant thyroid nodules.

methodA total of 192 patients with thyroid nodules admitted to our hospital from July 2019 to December 2020 were selected as subjects. Color Doppler blood flow imaging (CDFI) and supermicro blood flow imaging (SMI) methods are used to detect the blood flow of patients and the levels of serum thyroglobulin antibody (TgAb), thyroid peroxidase antibody (TPOAb), and thyroid stimulating hormone (TSH). The receiver operating characteristic curve (ROC curve) was used to observe the sensitivity and specificity of serological markers for distinguishing benign and malignant thyroid nodules, and combined with CDFI and SMI to observe the sensitivity and specificity for distinguishing benign and malignant thyroid nodules.

resultsThe levels of TgAb, TPOAb and TSH in benign thyroid nodules were lower than those of the malignant group, and the difference was statistically significant (P < 0.01). There was no statistically significant difference between benign and malignant thyroid nodules in the presence or absence of the capsule and the presence or absence of vocal halo (P > 0.05), while the differences in the nodule morphology, boundary, internal echo and internal calcification were statistically significant (P < 0.01).

conclusionCDFI and SMI combined with serological index detection have higher value in the differential diagnosis of thyroid cancer, which can significantly improve the sensitivity and specificity of differential diagnosis.

Indexed as

Thyroid NeoplasmsThyroid NoduleBiomarkersHumansIodide PeroxidaseSensitivity and SpecificityThyroglobulinThyrotropinUltrasonography, Doppler, ColorBiomarkersIodide PeroxidaseThyroglobulinThyrotropinAdler blood flow gradingBenign and malignantColor Doppler blood flow imaging technologyTgAbThyroid nodulesTPOAbTSHUltra-micro blood flow imaging technology

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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.