Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
July 14, 2025

Role of American College of Radiology Thyroid Imaging Reporting and Data System 2017 in Predicting Thyroid Nodule Malignancy: Cytological and Histological Insights in the Local Population of Pondicherry

View Full Paper
Ask AI
Bookmark
Share

Authors

SPS. PalitVKVijayalakshmi KrishnamurthyKRK. Ramakrishnan

Discussion

Loading...

Member takes

Overview

Prospective study analyzes ACR-TIRADS classification's predictions on malignancy in thyroid nodules, highlighting significant ultrasound features.

Key Points

  • ACR-TIRADS 2017 shows potential for accurate risk stratification of thyroid nodules.
  • The study included 73 patients, revealing TR4 as a critical category with 77.8% malignancy correlation.
  • Ultrasound features like irregular margins had 100% specificity, aiding malignancy prediction.
  • Papillary Carcinoma was the leading malignancy, while Colloid Nodular Goitre was the most common benign condition.

Cite This Study

Palit et al. (2025) studied this question.

synapsesocial.com/papers/689a02b6e6551bb0af8cc21fhttps://doi.org/10.21203/rs.3.rs-6962488/v1
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched one closely related paper. Consider it for comparative context:

  1. 12015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer2015 · 16,720 citations