ACR TI-RADS Score combined with cytopathology classification improves the risk stratification of indeterminate thyroid nodules.


Journal

Minerva endocrinology
ISSN: 2724-6116
Titre abrégé: Minerva Endocrinol (Torino)
Pays: Italy
ID NLM: 101777342

Informations de publication

Date de publication:
06 Apr 2023
Historique:
entrez: 6 4 2023
pubmed: 7 4 2023
medline: 7 4 2023
Statut: aheadofprint

Résumé

The aim of this retrospective study was the elaboration of a new diagnostic model that integrate cytological reports (2017 Bethesda System for Reporting Thyroid Cytopathology) with ultrasonographic features (based on ACR TI-RADS score) to achieve a more accurate definition of indeterminate thyroid nodule malignancy risk. Ninety patients submitted to thyroidectomy were divided in three classes: low malignancy risk (AUS/FLUS with TI-RADS 2/TI-RADS 3 and FN/SFN with TI-RADS 2), intermediate malignancy risk (AUS/FLUS with TI-RADS 4/TI-RADS 5 and FN/SFN with TI-RADS 3/TI-RADS 4), and high malignancy risk (FN/SFN with TI-RADS 5). The surgical approach should be recommended in high-risk patients (81.82% of malignancies), carefully evaluated in intermediate risk (25.42%), whereas a conservative approach can be adopted in low-risk patients (0.00%). The integration of these two multiparametric systems in a Cyto-US score has proven to be a feasible and reliable aid to achieve a more accurate definition of malignancy risk.

Sections du résumé

BACKGROUND BACKGROUND
The aim of this retrospective study was the elaboration of a new diagnostic model that integrate cytological reports (2017 Bethesda System for Reporting Thyroid Cytopathology) with ultrasonographic features (based on ACR TI-RADS score) to achieve a more accurate definition of indeterminate thyroid nodule malignancy risk.
METHODS METHODS
Ninety patients submitted to thyroidectomy were divided in three classes: low malignancy risk (AUS/FLUS with TI-RADS 2/TI-RADS 3 and FN/SFN with TI-RADS 2), intermediate malignancy risk (AUS/FLUS with TI-RADS 4/TI-RADS 5 and FN/SFN with TI-RADS 3/TI-RADS 4), and high malignancy risk (FN/SFN with TI-RADS 5).
RESULTS RESULTS
The surgical approach should be recommended in high-risk patients (81.82% of malignancies), carefully evaluated in intermediate risk (25.42%), whereas a conservative approach can be adopted in low-risk patients (0.00%).
CONCLUSIONS CONCLUSIONS
The integration of these two multiparametric systems in a Cyto-US score has proven to be a feasible and reliable aid to achieve a more accurate definition of malignancy risk.

Identifiants

pubmed: 37021922
pii: S2724-6507.22.03929-X
doi: 10.23736/S2724-6507.22.03929-X
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Francesco Feroci (F)

Unit of General Surgery, Department of Surgery, Santo Stefano Hospital, Azienda ASL Toscana Centro, Prato, Italy.

Davina Perini (D)

Unit of General Surgery, Department of Surgery, Santo Stefano Hospital, Azienda ASL Toscana Centro, Prato, Italy.

Alessio Giordano (A)

Unit of General Surgery, Department of Surgery, Santo Stefano Hospital, Azienda ASL Toscana Centro, Prato, Italy - alessio.giordano8@gmail.com.

Luca Romoli (L)

Unit of General Surgery, Department of Surgery, Santo Stefano Hospital, Azienda ASL Toscana Centro, Prato, Italy.

Tommaso Guagni (T)

Unit of General Surgery, Department of Surgery, Santo Stefano Hospital, Azienda ASL Toscana Centro, Prato, Italy.

Angela Coppola (A)

Unit of Nuclear Medicine, Santo Stefano Hospital, Azienda ASL Toscana Centro, Prato, Italy.

Iacopo Giani (I)

Unit of General Surgery, Department of Surgery, Santo Stefano Hospital, Azienda ASL Toscana Centro, Prato, Italy.

Serenella Checchi (S)

Endocrine Unit, Santo Stefano Hospital, Azienda ASL Toscana Centro, Prato, Italy.

Alvaro Petrucci (A)

Unit of General Surgery, Department of Surgery, Santo Stefano Hospital, Azienda ASL Toscana Centro, Prato, Italy.

Antonio Sarno (A)

Unit of General Surgery, Department of Surgery, Santo Stefano Hospital, Azienda ASL Toscana Centro, Prato, Italy.

Stefano Cantafio (S)

Unit of General Surgery, Department of Surgery, Santo Stefano Hospital, Azienda ASL Toscana Centro, Prato, Italy.

Classifications MeSH