Background: Thyroid nodules are common among adults though only a small percentage is malignant, which can histologically mimic benign nodules. Accurate diagnosis of these thyroid nodules is critical for the proper clinical management.

Methods: We investigated immunoexpression in 98 surgically removed benign thyroid nodules including 52 hyperplastic nodules (HN) and 46 follicular/Hurthle cell adenomas (FA), and 54 malignant tumors including 22 follicular carcinoma (FC), 20 classic papillary carcinoma (PTC), and 12 follicular variant papillary carcinoma (FVPC).

Results: The staining results showed that malignant tumors express galectin-3, HBME-1, CK19 and Ret oncoprotein significantly more than benign nodules. The sensitivity of these markers for the distinction between benign and malignant lesions ranged from 83.3% to 87%. The sensitivity of two-marker panels was not significantly different. Immunoexpression was usually diffuse and strong in malignant tumors, and focal and weak in the benign lesions.

Conclusion: Our findings indicate that these immunomarkers are significantly more expressed in malignant tumors compared to benign lesions and may be of additional diagnostic value when combined with routine histology.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2831001PMC
http://dx.doi.org/10.1186/1746-1596-5-9DOI Listing

Publication Analysis

Top Keywords

thyroid nodules
16
malignant tumors
16
benign malignant
8
benign nodules
8
papillary carcinoma
8
benign
7
malignant
7
nodules
7
utility immunohistochemical
4
immunohistochemical markers
4

Similar Publications

Purpose: Thyroid nodules are common, and ultrasound-based risk stratification using ACR's TIRADS classification is a key step in predicting nodule pathology. Determining thyroid nodule contours is necessary for the calculation of TIRADS scores and can also be used in the development of machine learning nodule diagnosis systems. This paper presents the development, validation, and multi-institutional independent testing of a machine learning system for the automatic segmentation of thyroid nodules on ultrasound.

View Article and Find Full Text PDF

Thyroid Nodule Ablation: Ever Expanding Indications.

Radiol Imaging Cancer

January 2025

From the Division of Interventional Radiology, Beth Israel Deaconess Medical Center-Harvard Medical School, 1 Deaconess Rd, Rosenberg 3, Boston, MA 02215.

View Article and Find Full Text PDF

Introduction: Shared decision-making (SDM) enables individually tailored treatment plans. This survey explored patients' and surgeons' perceptions of SDM in consultations on thyroid nodules. Furthermore, we aimed to explore possible discrepancies between the groups, identify factors influencing patients' perceived levels of SDM and evaluate decisional regret.

View Article and Find Full Text PDF

Approach to the Patient with Thyroid Cancer: Selection and Management of Candidates for Lobectomy.

J Clin Endocrinol Metab

January 2025

Department of Otolaryngology-Head and Neck Surgery, Beilinson Hospital, Rabin Medical Center.

Thyroid lobectomy has gained increasing popularity over the past decade as a treatment for differentiated thyroid cancer (DTC), largely due to a rise in the diagnosis of low-risk cancers and evidence showing no benefit from radioiodine in low-risk disease. Multiple studies have confirmed lobectomy as an effective and safe option. Its advantages over total thyroidectomy include lower complication rates and a reduced need for lifelong levothyroxine (LT4) therapy.

View Article and Find Full Text PDF

Objective: This systematic review seeks to evaluate the prevalence of local symptoms in patients with benign thyroid disease as described in the literature.

Data Sources: A literature search was conducted across PubMed, Embase, Medline, and Cochrane databases.

Review Methods: Crude symptom prevalence was obtained by addition of data across studies that reported local symptoms, and adjusted symptom frequency was calculated using a random effects model.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!