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Role of cytological and ultrasonographic features in predicting the risk of malignancy in thyroid nodules with indeterminate cytology.
Minerva Endocrinol. 2014 Mar; 39(1):43-52.ME

Abstract

AIM

The aim of this paper was to examine the diagnostic value of several cytological and ultrasonographic features in predicting malignancy in thyroid follicular neoplasms.

METHODS

The sample of the study consisted of 145 patients, who have had the diagnosis of follicular neoplasm on US guided fine-needle aspiration (FNA), and had undergone thyroidectomy. The cytological slides and the ultrasonographic images were reviewed, and several ultrasonographic and cytological features were evaluated and correlated with final histology.

RESULTS

Histological diagnosis of malignancy was obtained in 14.5% of the patients, papillary carcinoma being the most frequent (66% of malignancies). The cytological and ultrasonographic features that have been associated with malignancy were: micro-fragments (P<0.00001), overlapping (P<0.005), hypercellularity (P<0.009), micronucleoli (P<0.013), atypical features (P<0.027), nodule size larger than 2 cm (P<0.029) and micro-calcifications (P<0.0002). Using the features that were statistically independent ones, which included two cytological features: micro-fragments and micronuclei, and one ultrasonographic feature: micro-calcifications, a statistical model for predicting malignancy was constructed. According to this model, it was found that the risk for malignancy is 2.65% in the absence of the three parameters, and amounts to 93.93% in the presence of all three of them.

CONCLUSION

In a thyroid follicular neoplasm, the cytological and ultrasonographic features that were associated with malignancy were: micro-fragments, overlapping, hypercellularity, micronucleoli, atypical features, nodule size larger than 2 cm and micro-calcifications. In an attempt to predict malignancy, we proposed a simple statistical model using only three features derived from cytological and ultrasonographic tests.

Authors+Show Affiliations

Endocrinology Department Bnai‑Zion Medical Center, Haifa, Israel - leonard.saiegh@gmail.com.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Evaluation Study
Journal Article

Language

eng

PubMed ID

24513603

Citation

Saiegh, L, et al. "Role of Cytological and Ultrasonographic Features in Predicting the Risk of Malignancy in Thyroid Nodules With Indeterminate Cytology." Minerva Endocrinologica, vol. 39, no. 1, 2014, pp. 43-52.
Saiegh L, Shechner C, Dickstein G, et al. Role of cytological and ultrasonographic features in predicting the risk of malignancy in thyroid nodules with indeterminate cytology. Minerva Endocrinol. 2014;39(1):43-52.
Saiegh, L., Shechner, C., Dickstein, G., Sheikh-Ahmad, M., Reut, M., Odeh, M., Toubi, A., & Bejar, J. (2014). Role of cytological and ultrasonographic features in predicting the risk of malignancy in thyroid nodules with indeterminate cytology. Minerva Endocrinologica, 39(1), 43-52.
Saiegh L, et al. Role of Cytological and Ultrasonographic Features in Predicting the Risk of Malignancy in Thyroid Nodules With Indeterminate Cytology. Minerva Endocrinol. 2014;39(1):43-52. PubMed PMID: 24513603.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Role of cytological and ultrasonographic features in predicting the risk of malignancy in thyroid nodules with indeterminate cytology. AU - Saiegh,L, AU - Shechner,C, AU - Dickstein,G, AU - Sheikh-Ahmad,M, AU - Reut,M, AU - Odeh,M, AU - Toubi,A, AU - Bejar,J, PY - 2014/2/12/entrez PY - 2014/2/12/pubmed PY - 2014/5/14/medline SP - 43 EP - 52 JF - Minerva endocrinologica JO - Minerva Endocrinol VL - 39 IS - 1 N2 - AIM: The aim of this paper was to examine the diagnostic value of several cytological and ultrasonographic features in predicting malignancy in thyroid follicular neoplasms. METHODS: The sample of the study consisted of 145 patients, who have had the diagnosis of follicular neoplasm on US guided fine-needle aspiration (FNA), and had undergone thyroidectomy. The cytological slides and the ultrasonographic images were reviewed, and several ultrasonographic and cytological features were evaluated and correlated with final histology. RESULTS: Histological diagnosis of malignancy was obtained in 14.5% of the patients, papillary carcinoma being the most frequent (66% of malignancies). The cytological and ultrasonographic features that have been associated with malignancy were: micro-fragments (P<0.00001), overlapping (P<0.005), hypercellularity (P<0.009), micronucleoli (P<0.013), atypical features (P<0.027), nodule size larger than 2 cm (P<0.029) and micro-calcifications (P<0.0002). Using the features that were statistically independent ones, which included two cytological features: micro-fragments and micronuclei, and one ultrasonographic feature: micro-calcifications, a statistical model for predicting malignancy was constructed. According to this model, it was found that the risk for malignancy is 2.65% in the absence of the three parameters, and amounts to 93.93% in the presence of all three of them. CONCLUSION: In a thyroid follicular neoplasm, the cytological and ultrasonographic features that were associated with malignancy were: micro-fragments, overlapping, hypercellularity, micronucleoli, atypical features, nodule size larger than 2 cm and micro-calcifications. In an attempt to predict malignancy, we proposed a simple statistical model using only three features derived from cytological and ultrasonographic tests. SN - 0391-1977 UR - https://www.unboundmedicine.com/medline/citation/24513603/Role_of_cytological_and_ultrasonographic_features_in_predicting_the_risk_of_malignancy_in_thyroid_nodules_with_indeterminate_cytology_ L2 - http://www.minervamedica.it/index2.t?show=R07Y2014N01A0043 DB - PRIME DP - Unbound Medicine ER -