Classification system of ultrasound patterns of non-nodular thyroid diseases

Thyroid disorders are largely present in the general population. In addition to the medical history and laboratory tests, ultrasound (US) is a sensitive method for assessing thyroid diseases. Since thyroid nodules (TNs) are significantly more prevalent than non-nodular diseases – i.e., autoimmune, inflammatory, etc. – and entirely normal thyroid pattern, the largest part of the specific literature has been focused on TN. Indeed, international societies have developed systems to stratify the cancer risk of TN (i.e., TIRADS) while no classification exists to assess non-nodular disorders. A three-score US-based classification of thyroid parenchyma is proposed: (1) pattern “N” – normal parenchyma, (2) pattern “A” – autoimmune - to assess autoimmune disease; (3) pattern “I” – inflammation - to assess thyroid inflammation/infection diseases. Such a system could (1) cover the current lack of standardized classification of parenchyma, (2) improve the accuracy of US operators, and (3) facilitate the exchange among thyroidologists (endocrinologists as first) and stakeholders.

Authors

Institutions

Publication Details

Journal
Endocrine
Published
2025-10-15
DOI
https://doi.org/10.1007/s12020-025-04460-z
Primary Topic
Thyroid Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Classification system of ultrasound patterns of non-nodular thyroid diseases

Pierpaolo Trimboli, Jörg Bojunga
Endocrine
Thyroid Cancer Diagnosis and Treatment
article

Classification system of ultrasound patterns of non-nodular thyroid diseases

Pierpaolo Trimboli, Jörg Bojunga
article en

Abstract

Thyroid disorders are largely present in the general population. In addition to the medical history and laboratory tests, ultrasound (US) is a sensitive method for assessing thyroid diseases. Since thyroid nodules (TNs) are significantly more prevalent than non-nodular diseases – i.e., autoimmune, inflammatory, etc. – and entirely normal thyroid pattern, the largest part of the specific literature has been focused on TN. Indeed, international societies have developed systems to stratify the cancer risk of TN (i.e., TIRADS) while no classification exists to assess non-nodular disorders. A three-score US-based classification of thyroid parenchyma is proposed: (1) pattern “N” – normal parenchyma, (2) pattern “A” – autoimmune - to assess autoimmune disease; (3) pattern “I” – inflammation - to assess thyroid inflammation/infection diseases. Such a system could (1) cover the current lack of standardized classification of parenchyma, (2) improve the accuracy of US operators, and (3) facilitate the exchange among thyroidologists (endocrinologists as first) and stakeholders.

EndocrineVol. 90(3)
Goethe University Frankfurt (DE), Ente Ospedaliero Cantonale (CH), University Hospital Frankfurt (DE), Università della Svizzera italiana (CH)
Openalex Percentile: Top 61%
Thyroid Cancer Diagnosis and Treatment
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.