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1.
J Ultrasound ; 23(2): 169-174, 2020 Jun.
Article in English | MEDLINE | ID: mdl-32246401

ABSTRACT

PURPOSE: Computer-aided diagnosis (CAD) may improve interobserver agreement in the risk stratification of thyroid nodules. This study aims to evaluate the performance of the Korean Thyroid Imaging Reporting and Data System (K-TIRADS) classification as estimated by an expert radiologist, a senior resident, a medical student, and a CAD system, as well as the interobserver agreement among them. METHODS: Between July 2016 and 2018, 107 nodules (size 5-40 mm, 27 malignant) were classified according to the K-TIRADS by an expert radiologist and CAD software. A third-year resident and a medical student with basic imaging training, both blinded to previous findings, retrospectively estimated the K-TIRADS classification. The diagnostic performance was calculated, including sensitivity, specificity, positive and negative predictive values, and the area under the receiver operating characteristic curve. RESULTS: The CAD system and the expert achieved a sensitivity of 70.37% (95% CI 49.82-86.25%) and 81.48% (61.92-93.7%) and a specificity of 87.50% (78.21-93.84%) and 88.75% (79.72-94.72%), respectively. The specificity of the student was significantly lower (76.25% [65.42-85.05%], p = 0.02). CONCLUSION: In our opinion, the CAD evaluation of thyroid nodules stratification risk has a potential role in a didactic field and does not play a real and effective role in the clinical field, where not only images but also specialistic medical practice is fundamental to achieve a diagnosis based on family history, genetics, lab tests, and so on. The CAD system may be useful for less experienced operators as its specificity was significantly higher.


Subject(s)
Clinical Competence/statistics & numerical data , Thyroid Nodule/diagnostic imaging , Ultrasonography/methods , Diagnosis, Computer-Assisted , Diagnosis, Differential , Female , Humans , Male , Middle Aged , Observer Variation , Prospective Studies , Reproducibility of Results , Retrospective Studies , Sensitivity and Specificity , Thyroid Gland/diagnostic imaging
2.
Med Ultrason ; 19(1): 32-38, 2017 Jan 31.
Article in English | MEDLINE | ID: mdl-28180194

ABSTRACT

AIMS: To assess the diagnostic value of elasticity contrast index (ECI) elastography, in comparison with conventional ultrasound for the differentiation of benign and malignant parotid lesions. MATERIAL AND METHODS: Sixty-three consecutive patients with parotid gland tumors, treated surgically at a single tertiary center were enrolled. Ultrasound evaluation consisted of B-mode, color-Doppler and quasistatic ultrasound elastography (USE), conducted with the ECI technique. For each lesion the echogenicity, margins, vascularization, and capsulation were considered to determine benign or malignant lesions. Histology was considered the gold standard. RESULTS: Using conventional parameters, the observer suggested malignant lesions in 20 cases and benign lesions in 43 cases (accuracy: 61.8%). ECI>3.5 alone was the most accurate parameter (accuracy: 90.5%), with sensitivity of 93.7% and specificity of 89.4%. However, when combined with the other US criteria, no statistically significant diagnostic accuracy improvement was achieved. CONCLUSIONS: Our results show that USE with ECI index measurement can help to discriminate preoperatively benign from malignant lesions, with the exception of pleomorphic adenoma which is stiff. We suggest that USE can be used as an additional tool to conventional US evaluation of salivary gland lesions.


Subject(s)
Elasticity Imaging Techniques/methods , Image Processing, Computer-Assisted/methods , Parotid Neoplasms/diagnostic imaging , Adolescent , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Parotid Gland/diagnostic imaging , Prospective Studies , Reproducibility of Results , Sensitivity and Specificity , Ultrasonography/methods , Young Adult
3.
Int J Endocrinol ; 2015: 908575, 2015.
Article in English | MEDLINE | ID: mdl-25954310

ABSTRACT

Thyroid nodules, with their high prevalence in the general population, represent a diagnostic challenge for clinicians. Ultrasound (US), although absolutely reliable in detecting thyroid nodules, is still not accurate enough to differentiate them into benign and malignant. A promising novel modality, US elastography, has been introduced in order to further increase US accuracy. The purpose of this review article is to assess the thyroid application of US strain elastography, also known as real-time elastography or quasistatic elastography. We provide a presentation of the technique, and of up-to-date literature, analyzing the most prominent results reported for thyroid nodules differentiation. The practical advantages and limitations of strain elastography are extensively discussed herein.

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