An overview of meta-analyses on radiomics: more evidence is needed to support clinical translation

J Zhong, J Lu, G Zhang, S Mao, H Chen, Q Yin, Y Hu… - Insights into …, 2023 - Springer
Objective To conduct an overview of meta-analyses of radiomics studies assessing their
study quality and evidence level. Methods A systematical search was updated via peer …

Accuracy of Ultrasound Diagnosis of Thyroid Nodules Based on Artificial Intelligence‐Assisted Diagnostic Technology: A Systematic Review and Meta‐Analysis

Y Xue, Y Zhou, T Wang, H Chen, L Wu… - International Journal …, 2022 - Wiley Online Library
Background. Ultrasonography (US) is the most common method of identifying thyroid
nodules, but US images require an experienced surgeon for identification. Many artificial …

Quo vadis Radiomics? Bibliometric analysis of 10-year Radiomics journey

S Volpe, F Mastroleo, M Krengli… - European Radiology, 2023 - Springer
Objectives Radiomics is the high-throughput extraction of mineable and—possibly—
reproducible quantitative imaging features from medical imaging. The aim of this work is to …

Intra-operative nerve monitoring and recurrent laryngeal nerve injury during thyroid surgery: a network meta-analysis of prospective studies

EF Cleere, MG Davey, O Young, AJ Lowery… - … Archives of Surgery, 2022 - Springer
Purpose Recurrent laryngeal nerve (RLN) injury is a feared complication of thyroid surgery
occurring in 1–5% of cases. The present approaches to RLN preservation include RLN …

A machine learning-based sonomics for prediction of thyroid nodule malignancies

M Arabi, M Nazari, A Salahshour, E Jenabi, G Hajianfar… - Endocrine, 2023 - Springer
Objectives This study aims to use ultrasound derived features as biomarkers to assess the
malignancy of thyroid nodules in patients who were candidates for FNA according to the …

Deep learning for thyroid nodule examination: a technical review

D Das, MS Iyengar, MS Majdi, JJ Rodriguez… - Artificial Intelligence …, 2024 - Springer
In recent years, the incidence of thyroid cancer has increased dramatically, resulting in an
increased demand for early thyroid nodule examination. Ultrasound (US) imaging is the …

Thyroid cancer in regions most contaminated after the Chernobyl disaster

MK Janiak, G Kamiński - Journal of Biomedical Physics and …, 2024 - jbpe.sums.ac.ir
Exposure to ionizing radiation, especially during childhood, is a well-established risk factor
for thyroid cancer. Following the 1986 Chernobyl nuclear power plant accident the total …

[HTML][HTML] Deep-learning radiomics based on ultrasound can objectively evaluate thyroid nodules and assist in improving the diagnostic level of ultrasound physicians

H Du, F Chen, H Li, K Wang, J Zhang… - … Imaging in Medicine …, 2024 - ncbi.nlm.nih.gov
Background The incidence rate of thyroid nodules has reached 65%, but only 5–15% of
these modules are malignant. Therefore, accurately determining the benign and malignant …

Ultrasound characteristics of follicular and parafollicular thyroid neoplasms: diagnostic performance of artificial neural network

M Cordes, TI Götz, S Coerper, T Kuwert… - Thyroid Research, 2023 - Springer
Background Ultrasound is the first-line imaging modality for detection and classification of
thyroid nodules. Certain features observable by ultrasound have recently been equated with …

Ultrasound‐based radiomics for the differential diagnosis of breast masses: A systematic review and meta‐analysis

X Li, L Zhang, M Ding - Journal of Clinical Ultrasound, 2024 - Wiley Online Library
Objectives Ultrasound‐based radiomics has demonstrated excellent diagnostic performance
in differentiating benign and malignant breast masses. Given a few clinical studies on their …