AI can optimize risk stratification of thyroid nodules
An artificial intelligence (AI) algorithm improved the specificity of the American...Read more on AuntMinnie.comRelated Reading: Ultrasound CADx software can stratify thyroid nodules AIUM: Both thermal ablation methods work for thyroid Advanced US techniques = better thyroid nodule diagnosis AI bolsters diagnostic accuracy of thyroid ultrasound CAD helps less-experienced rads diagnose thyroid cancer
The University of California, San Francisco (UCSF) is launching a new center...Read more on AuntMinnie.comRelated Reading: Radiofrequency ultrasound, AI predict thyroid cancer AI model could speed up pneumonia diagnosis in ED Societies team up to promote ethics in radiology AI AI algorithm can accurately diagnose appendicitis Nvidia, ACR collaborate on AI for radiology
AbstractHow to differentiate thyroid cancer nodules from a large number of benign nodules is always a challenging subject for clinicians. This paper proposes a novel Sal-deel network model to achieve the classification and diagnosis of thyroid cancer, which can simulate visual attention mechanism. The Sal-deep network introduces saliency map as an additional information on the deep residual network, which selectively enhances the feature extracted from different regions according to the mask map. Sal-deep network can work effectively for the benchmark networks with different data sets and different structures, and it is a ...
A new thyroid cancer test that uses mass spectrometry imaging could help patients...Read more on AuntMinnie.comRelated Reading: Radiofrequency ultrasound, AI predict thyroid cancer Deep learning comparable to rads for thyroid management AI can optimize risk stratification of thyroid nodules Shear-wave elastography helps diagnose Graves' disease AIUM: Both thermal ablation methods work for thyroid
Radiofrequency ultrasound and an artificial intelligence (AI) model can be...Read more on AuntMinnie.comRelated Reading: CT radiomics uses immunohistology to detect thyroid cancer Deep learning comparable to rads for thyroid management 5 trends shaping the future of global ultrasound AI can optimize risk stratification of thyroid nodules Ultrasound CADx software can stratify thyroid nodules
ConclusionsIn the group with clinically low-risk DTC, CT changed surgical management for a substantial number of the patients with clinically significant nodal disease not detected by ultrasound. This highlights the fact that in certain practice settings, adding CT to the preoperative staging may be favorable for the detection of nodal metastasis.
Researchers from China have developed a radiomics model capable of identifying...Read more on AuntMinnie.comRelated Reading: Deep learning comparable to rads for thyroid management AI can improve reproducibility of radiomics in CT AI can optimize risk stratification of thyroid nodules Ultrasound CADx software can stratify thyroid nodules CAD helps less-experienced rads diagnose thyroid cancer
Purpose of review Compared with adults, there is a two-fold to three-fold increased risk of malignancy for a pediatric patient undergoing evaluation of a thyroid nodule. In 2015, the American Thyroid Association published guidelines on the evaluation and management of pediatric patients with thyroid nodules and differentiated thyroid cancer. The goal of this clinical update is to review recent additions to the literature and propose opportunities how to best incorporate these findings into clinical practice. Recent findings Recent additions to the literature include assessment of ultrasound-based scoring systems to im...
CONCLUSION: More than 50% of low-risk PTMC are on AS in Japan. However, the indication and recommendation for AS vary significantly between institutions. To improve the implementation of this management modality, physicians and patients should be further educated, and the socio-medical environment should be improved. PMID: 31441377 [PubMed - as supplied by publisher]
ConclusionsSubclassification of AUS/FLUS into three groups based on cytopathologic findings alone not only improved the triage of patients for subsequent clinical management but also effectively stratified the risk of malignancy.
Abstract CONTEXT: Nearly one-third of all thyroid cancers are ≤ 1 cm. OBJECTIVE: Determine diagnostic pathways for microcarcinomas versus larger cancers. DESIGN/SETTING/PATIENT PARTICIPANTS: Patients from Georgia and Los Angeles Surveillance, Epidemiology, and End Results (SEER) registries with differentiated thyroid cancer diagnosed in 2014-2015 were surveyed (response rate 63%). Survey data were linked to SEER data on tumor and treatment characteristics. Multivariable logistic regression analysis was performed. MAIN OUTCOME MEASURES: method of nodule discovery; reason for thyroid surgery. ...