Novel Methods of Diagnostics of Thyroid and Parathyroid Lesions
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Endocrinology & Metabolism".
Deadline for manuscript submissions: closed (28 February 2021) | Viewed by 36024
Special Issue Editors
Interests: thyroid imaging; thyroid developmental anomalies; thyroid nodules; thyroid cancer; thyroiditis; acromegaly
Special Issue Information
Dear Colleagues,
The diagnostics of thyroid nodular disease constitute an everyday challenge for endocrinologists. Due to the high incidence of this pathology, estimated at 10%–70% of adults, it is a source of major socioeconomic burden. However, only 18% of thyroid nodules are diagnosed as malignant. Thyroid nodular disease is the most frequently diagnosed endocrine pathology, while thyroid cancer constitues the most common endocrine malignancy and is reponsible for about 67% of deaths due to neoplasms derived from endocrine organs. The incidence of thyroid cancer has risen by about 240% in the last three decades. Due to the increased availability of imaging techniques, recently, a rise in the detectability of thyroid cancer at the stage of microcarcinoma has been observed. Diagnostic and therapeutic decisions in patients with thyroid nodules require an interdisciplinary consensus between endocrinologists and physicians of other specialities (radiologists, pathologists, surgeons, oncologists).
The well-established gold standard of diagnostics in thyroid nodular disease is fine-needle aspiration biopsy (FNAB). However, due to its invasiveness and significant percentage of inconclusive results, novel imaging techniques or molecular markers are being researched and developed, with the aim of increasing diagnostic performance and making the preoperative estimation of malignancy risk more effective.
In recent years, sonoelastography has been demonstrated to be a promising tool to achieve this goal, improving the diagnostic capability of conventional ultrasonography in estimating malignancy risk and selecting thyroid lesions for biopsy. Moreover, different modes of sonoeastography are available (i.e., strain, shear wave). There is still a need to evaluate and compare the usefulness and roles of different modes of sonoelastography in the current management of thyroid nodules. Furthermore, ultrasonographs are currently being equiped with other modalities and new software, which aim to facilitate the diagnostics of thyroid focal lesions (different modes of vascularisation assesment, i.e., visualizing slow flow microvascularized structures or contrast-enhanced ultrasonography, 3D ultrasound). Recently, algorithms based on the application of artificial intelligence and deep learning have been introduced. Advanced and automated analysis of ultrasound pictures allows for quick and objective computer-based assesment of the malignancy risk of thyroid lesions. However, literature data regarding the reliable estimation of the roles and clinical usefulness of these techniques in the assessment of thyroid lesions are scarce. Furthermore, the target group of physicians who would benefit the most from application of these algorithms needs to be defined (e.g., experienced endocrinologists/radiologists, in-training physicians, general practitioners performing screening examinations).
Due to lowered cost and increased accesibility, more sophisticated imaging techniques in thyroid nodules diagnostics, like MRI or 18F-FDG-PET/CT, which were previously not considered to be cost-effective, are being employed. In addition, due to the rapid development of molecular diagnostics, many ongoing research programs are being performed to detect novel molecular markers and establish the true clinical utility and cost-effectiveness of those markers in pre-surgical differentiation of benign and malignant thyroid lesions, especially when conventional techniques (ultrasonograhy, FNAB) do not bring conclusive results. Further reseach is needed to identify the limitations of these proecedures and improve these techniques.
The goal of this Special Issue of JCM is to provide a platform to present current trends in novel techniques of thyroid nodule diagnostics before they are implemented in the current guidelines on the management of thyroid nodular disease.
Prof. Dr. Marek Ruchala
Prof. Dr. Ewelina Szczepanek-Parulska
Guest Editors
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Keywords
- thyroid ultrasound examination
- sonoelastography
- artificial intelligence
- computer-aided diagnosis
- molecular malignancy markers
- next generation sequencing
- MRI
- PET/CT
- thyroid nodules
- thyroid cancer
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