OBJECTIVE: In order to quantify the risk of malignancy of clinical and ultrasonographic features of thyroid nodules (TNs), we did a systematic review and meta-analysis of published studies. METHODS: We did a literature search in MEDLINE for studies published from 1st January 1989 until 31st December 2012. Studies were considered eligible if they investigated the association between at least one clinical/ultrasonographic feature and the risk of malignancy, did not have exclusion criteria for the detected nodules, had histologically confirmed the diagnoses of malignancy, and had a univariable analysis available. Two reviewers independently extracted data on study characteristics and outcomes. RESULTS: The meta-analysis included 41 studies, for a total of 29678 TN. A higher risk of malignancy expressed in odds ratio (OR) was found for the following: nodule height greater than width (OR: 10.15), absent halo sign (OR: 7.14), microcalcifications (OR: 6.76), irregular margins (OR: 6.12), hypoechogenicity (OR: 5.07), solid nodule structure (OR: 4.69), intranodular vascularization (OR: 3.76), family history of thyroid carcinoma (OR: 2.29), nodule size ≥4 cm (OR: 1.63), single nodule (OR: 1.43), history of head/neck irradiation (OR: 1.29), and male gender (OR: 1.22). Interestingly, meta-regression analysis showed a higher risk of malignancy for hypoechoic nodules in iodine-sufficient than in iodine-deficient geographical areas. CONCLUSIONS: The current meta-analysis verified and weighed out each suspicious clinical and ultrasonographic TN feature. The highest risk was found for nodule height greater than width, absent halo sign, and microcalcifications for ultrasonographic features and family history of thyroid carcinoma for clinical features. A meta-analysis-derived grading system of TN malignancy risk, validated on a large prospective cohort, could be a useful tool in TN diagnostic work-up.
OBJECTIVE: In order to quantify the risk of malignancy of clinical and ultrasonographic features of thyroid nodules (TNs), we did a systematic review and meta-analysis of published studies. METHODS: We did a literature search in MEDLINE for studies published from 1st January 1989 until 31st December 2012. Studies were considered eligible if they investigated the association between at least one clinical/ultrasonographic feature and the risk of malignancy, did not have exclusion criteria for the detected nodules, had histologically confirmed the diagnoses of malignancy, and had a univariable analysis available. Two reviewers independently extracted data on study characteristics and outcomes. RESULTS: The meta-analysis included 41 studies, for a total of 29678 TN. A higher risk of malignancy expressed in odds ratio (OR) was found for the following: nodule height greater than width (OR: 10.15), absent halo sign (OR: 7.14), microcalcifications (OR: 6.76), irregular margins (OR: 6.12), hypoechogenicity (OR: 5.07), solid nodule structure (OR: 4.69), intranodular vascularization (OR: 3.76), family history of thyroid carcinoma (OR: 2.29), nodule size ≥4 cm (OR: 1.63), single nodule (OR: 1.43), history of head/neck irradiation (OR: 1.29), and male gender (OR: 1.22). Interestingly, meta-regression analysis showed a higher risk of malignancy for hypoechoic nodules in iodine-sufficient than in iodine-deficient geographical areas. CONCLUSIONS: The current meta-analysis verified and weighed out each suspicious clinical and ultrasonographic TN feature. The highest risk was found for nodule height greater than width, absent halo sign, and microcalcifications for ultrasonographic features and family history of thyroid carcinoma for clinical features. A meta-analysis-derived grading system of TN malignancy risk, validated on a large prospective cohort, could be a useful tool in TN diagnostic work-up.
Authors: T Rago; V Cantisani; F Ianni; L Chiovato; R Garberoglio; C Durante; A Frasoldati; S Spiezia; R Farina; G Vallone; A Pontecorvi; P Vitti Journal: J Endocrinol Invest Date: 2018-10-16 Impact factor: 4.256
Authors: Pablo Valderrabano; Melissa J McGettigan; Cesar A Lam; Laila Khazai; Zachary J Thompson; Christine H Chung; Barbara A Centeno; Bryan McIver Journal: Thyroid Date: 2018-07-17 Impact factor: 6.568
Authors: Francesca Ianni; Paolo Campanella; Carlo Antonio Rota; Alessandro Prete; Laura Castellino; Alfredo Pontecorvi; Salvatore Maria Corsello Journal: Endocrine Date: 2015-10-30 Impact factor: 3.633
Authors: Ji Ye Lee; Dong Gyu Na; So Jin Yoon; Hye Yun Gwon; Wooyul Paik; Taeeun Kim; Jin Yub Kim Journal: Eur Radiol Date: 2019-11-15 Impact factor: 5.315
Authors: Cesar A Lam; Melissa J McGettigan; Zachary J Thompson; Laila Khazai; Christine H Chung; Barbara A Centeno; Bryan McIver; Pablo Valderrabano Journal: Endocrine Date: 2019-07-12 Impact factor: 3.633