S-Detect Software vs. EU-TIRADS Classification: A Dual-Center Validation of Diagnostic Performance in Differentiation of Thyroid Nodules.

Computer-aided diagnosis (CAD) and other risk stratification systems may improve ultrasound image interpretation. This prospective study aimed to compare the diagnostic performance of CAD and the European Thyroid Imaging Reporting and Data System (EU-TIRADS) classification applied by physicians with S-Detect 2 software CAD based on Korean Thyroid Imaging Reporting and Data System (K-TIRADS) and combinations of both methods (MODELs 1 to 5). In all, 133 nodules from 88 patients referred to thyroidectomy with available histopathology or with unambiguous results of cytology were included.

The use of high-frequency ultrasonography in the assessment of selected female reproductive structures: the vulva, vagina and cervix.

Introduction: High-frequency ultrasonography enables visualization the layered structure of the skin and shows the epidermis, dermis, subcutaneous tissue and skin appendages: hair follicles, sebaceous glands, sweat glands and blood vessels. The aim of this study was to apply high-frequency ultrasonography to evaluate the structure of the vulva, vagina and cervix, and to describe their anatomy in ultrasound.

Material And Method: The examinations were conducted with the use of high-frequency probes: DermaView 48 MHz and Episcan 50 MHz, by three operators experienced in performing classical ultrasound scans (with 30-, 10- and 9-year experience).

Prospective analysis of inter-observer and intra-observer variability in multi ultrasound descriptor assessment of thyroid nodules.

The aim of this study was to evaluate the inter- and intra-observer variability and accuracy of ultrasound assessment of thyroid nodules using a descriptive lexicon. A prospective study was performed on complete ultrasound examinations, including sonoelastography and color Doppler ultrasound of 18 patients with 20 thyroid nodules. A total of 20 records of thyroid nodules from these techniques were duplicated, numbered, and randomly arranged.

Integration of Sonoelastography Into the TIRADS Lexicon Could Influence the Classification.

Numerous TIRADS (Thyroid Image Reporting and Data System) classifications have been developed, and various ultrasound (US) parameters are employed in different countries. The aim of our study was to introduce risk classification and management in a native population based on the Guidelines of Polish National Societies Diagnostics and Treatment of Thyroid Carcinoma but with the addition of sonoelastography. We examined prospectively 208 patients with 305 thyroid lesions employing B-mode ultrasound and sonoelastography (SE).

Evaluation of Four Variants of the Thyroid Imaging Reporting and Data System (TIRADS) Classification in Patients with Multinodular Goitre - initial study.

Purpose The goal this study was to evaluate the utility of four variants of the Thyroid Imaging Reporting and Data System (TIRADS) in the differentiation of focal lesions in individuals with multinodular goiter. Materials and Methods The study was approved by the Local Bioethical Committee. Each patient gave informed consent before enrolment.