Development and validation of a predictive model for assessing the risk of follicular carcinoma in thyroid nodules identified as suspicious by intraoperative frozen section

The model can accurately rule out FTC in low-risk nodules, thereby providing surgeons with a practical tool to determine the necessary extent of surgical intervention for nodules flagged as suspicious by IOFS.

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Publication Details

Journal
Frontiers in Endocrinology
Published
2024-09-26
DOI
https://doi.org/10.3389/fendo.2024.1431247
Citations
3
Primary Topic
Thyroid Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.07

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article

Development and validation of a predictive model for assessing the risk of follicular carcinoma in thyroid nodules identified as suspicious by intraoperative frozen section

Qi Li, Yong Luo, Cheng Li, Yan Jiang et al.
3 citations
Frontiers in Endocrinology
Thyroid Cancer Diagnosis and Treatment
1.07
article

Development and validation of a predictive model for assessing the risk of follicular carcinoma in thyroid nodules identified as suspicious by intraoperative frozen section

Qi Li, Yong Luo, Cheng Li, Yan Jiang, Yongli Gan, Jin Huang
article en
3 citations

Abstract

The model can accurately rule out FTC in low-risk nodules, thereby providing surgeons with a practical tool to determine the necessary extent of surgical intervention for nodules flagged as suspicious by IOFS.

Frontiers in EndocrinologyVol. 15
Ningbo University (CN), University of Nottingham Ningbo China (CN), Ningbo Medical Center Lihuili Hospital (CN), Ninghai County First Hospital (CN)
Medical and Health Research Project of Zhejiang Province
Peace, Justice and strong institutions
Openalex Percentile: Top 20%
Thyroid Cancer Diagnosis and Treatment
1.07
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Development and validation of a predictive model for assessing the risk of follicular carcinoma in thyroid nodules identified as suspicious by intraoperative frozen section — Qi Li, Yong Luo, et al. · Frontiers in Endocrinology (2024) | TGRS Research Map | TGRS