Predictive Factors for Malignancy in Atypiai of Undetermined Significance (AUS) Thyroid Nodules: A Comprehensive Retrospective Analysis

This retrospective study aimed to identify predictive factors for malignancy in thyroid nodules classified as atypia or follicular lesion of undetermined significance (AUS/FLUS). The analysis included 165 patients who underwent thyroid nodule surgery at Ankara Numune Training and Research Hospital. Data on demographics, surgical procedures, ultrasonographic features, and pathology results were extracted and analyzed. The cohort consisted predominantly of women (79.39%) with a mean age of 46.68 years. Surgeries performed included total thyroidectomy (88%), total thyroidectomy with central lymph node dissection (6%), and modified radical neck dissection (3%). Malignancies, largely papillary thyroid carcinoma (PTC), were identified in 81 cases. Univariate analysis revealed significant associations between malignancy and ultrasonographic features like calcification, spiculated margins, and nuclear inclusions. Multivariate analysis pinpointed calcification as the only independent risk factor. Histopathological findings indicated heterogeneity within malignancies, noting lymphovascular and capsular invasion in PTC cases. These findings emphasize calcification as a key predictor of malignancy in AUS thyroid nodules and underscore the role of surgical intervention in this challenging diagnostic category, contributing to enhanced risk stratification and clinical decision-making for managing AUS/FLUS thyroid nodules.

Authors

Institutions

Publication Details

Journal
Current Oncology
Published
2025-03-24
DOI
https://doi.org/10.3390/curroncol32040188
Citations
1
Primary Topic
Thyroid Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.29
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictive Factors for Malignancy in Atypiai of Undetermined Significance (AUS) Thyroid Nodules: A Comprehensive Retrospective Analysis

Hikmet Pehlevan Özel, Yunus Nadi Yüksek, Samet Şahin
1 citations
Current Oncology
Thyroid Cancer Diagnosis and Treatment
1.29
article

Predictive Factors for Malignancy in Atypiai of Undetermined Significance (AUS) Thyroid Nodules: A Comprehensive Retrospective Analysis

Hikmet Pehlevan Özel, Yunus Nadi Yüksek, Samet Şahin
article en
1 citations

Abstract

This retrospective study aimed to identify predictive factors for malignancy in thyroid nodules classified as atypia or follicular lesion of undetermined significance (AUS/FLUS). The analysis included 165 patients who underwent thyroid nodule surgery at Ankara Numune Training and Research Hospital. Data on demographics, surgical procedures, ultrasonographic features, and pathology results were extracted and analyzed. The cohort consisted predominantly of women (79.39%) with a mean age of 46.68 years. Surgeries performed included total thyroidectomy (88%), total thyroidectomy with central lymph node dissection (6%), and modified radical neck dissection (3%). Malignancies, largely papillary thyroid carcinoma (PTC), were identified in 81 cases. Univariate analysis revealed significant associations between malignancy and ultrasonographic features like calcification, spiculated margins, and nuclear inclusions. Multivariate analysis pinpointed calcification as the only independent risk factor. Histopathological findings indicated heterogeneity within malignancies, noting lymphovascular and capsular invasion in PTC cases. These findings emphasize calcification as a key predictor of malignancy in AUS thyroid nodules and underscore the role of surgical intervention in this challenging diagnostic category, contributing to enhanced risk stratification and clinical decision-making for managing AUS/FLUS thyroid nodules.

Current OncologyVol. 32(4)
Muğla University (TR)
Peace, Justice and strong institutions
Openalex Percentile: Top 21%
Thyroid Cancer Diagnosis and Treatment
1.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.