Radiofrequency ultrasound, AI predict thyroid cancer

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
Source: Headlines - Category: Radiology Source Type: news

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Conclusion: Sound speed inversion on channel data has made significant potential possible in real time with deep learning technologies. Significance: Specialized shear wave ultrasound systems remain inaccessible in many locations. Longitudinal sound speed and deep learning technologies enable an alternative approach to diagnosis based on tissue elasticity. High frame rates are also possible.
Source: IEEE Transactions on Biomedical Engineering - Category: Biomedical Engineering Source Type: research
Conclusion Despite of low CR rate (8.6%), most patients with DTC and iodine avid bone metastases had SD (46.2%) and long lived (88.2%). Adjunctive radiotherapy reduced PD and improved outcome. Males, extra thyroid extension and vascular invasion were bad prognostic factors.
Source: Nuclear Medicine Communications - Category: Nuclear Medicine Tags: Original Articles Source Type: research
We describe key sonographic findings and suggest a standard checklist that might be considered while performing and interpreting thyr oid US in neonates and children.
Source: Pediatric Radiology - Category: Radiology Source Type: research
This study included 34,184 consecutive asymptomatic Chinese women who underwent both breast and thyroid ultrasound evaluation during one health-care examination. Detected lesions were assigned into categories of different malignant risk according to the Breast and Thyroid Imaging Reporting and Data System(BI-/TI-RADS). Binomial logistic regression was used to determine the association between occurrence of BM and TN, and multinomial logistic regression was used to analyze the correlation of BM and TN in different BI-/TI-RADS categories. Associations between BM and TN, as well as anthropometric and biochemical markers, were...
Source: Thyroid : official journal of the American Thyroid Association - Category: Endocrinology Tags: Thyroid Source Type: research
ConclusionSMI-BF grade was more affected by vessels of larger inner diameter, while CEUS-EI was more affected by vessels of smaller inner diameter. SMI alone is sufficient for evaluation of blood flow in thyroid nodules, and the diagnostic value of SMI-BF of the periphery is comparable to CEUS hypoenhancement to differentiate thyroid cancer.
Source: Journal of Medical Ultrasonics - Category: Radiology Source Type: research
Conclusions This study suggests that thyroid cancer incidence trends have been shaped in large part, but not completely, by changes in professional guidelines' recommendations. PMID: 32098591 [PubMed - as supplied by publisher]
Source: Thyroid : official journal of the American Thyroid Association - Category: Endocrinology Tags: Thyroid Source Type: research
This study aims to automatically risk stratify thyroid nodules to determine which nodules need FNA and ultimately reduce the number of unnecessary FNAs. While machine learning has been applied to improve Thyroid Imaging, Reporting, and Data System (TI-RADS) using manually extracted features, to date there has been few applications of machine-learning to automatically classify ultrasound images.
Source: Journal of Vascular and Interventional Radiology : JVIR - Category: Radiology Authors: Tags: Scientific e-Poster Source Type: research
Background: Thyroid ultrasound (US), fine needle aspiration biopsy (FNAB), and molecular testing have been widely used to stratify the risk of malignancy in thyroid nodules. The goal of this study was to investigate a novel diagnostic approach for cytologically indeterminate thyroid nodules (ITN) based upon a combination of US features and genetic alterations.Methods: We performed a pilot cohort study of patients with ITN (Bethesda III/IV), who underwent surgical treatment. Based on standardized sonographic patterns established by the American Thyroid Association (ATA), each ITN received an US score (XUS), ranging between ...
Source: Frontiers in Endocrinology - Category: Endocrinology Source Type: research
This systematic review and meta-analysis aimed to evaluate the accuracy of fine-needle aspiration (FNA) and core-needle biopsy (CNB) in diagnosing thyroid cancer. The PubMed, Embase, and Cochrane Library databases were retrieved up to May 2019, and the overall accuracy of FNA and CNB in diagnosing thyroid cancer was evaluated by meta-analysis. The sensitivity, specificity, positive likelihood ratio (PLR), and negative likelihood ratio (NLR) were calculated. The summary receiver operating characteristic (ROC) curve was estimated, and the area under the ROC curve (AUC) was calculated. Ten eligible studies, involving 10,078 p...
Source: Frontiers in Endocrinology - Category: Endocrinology Source Type: research
Chen Chen Physicians use sonographic characteristics as a reference for the possible diagnosis of thyroid cancers. The purpose of this study was to investigate whether physicians were more effective in their tentative diagnosis based on the information provided by a computer-aided detection (CAD) system. A computer compared software-defined and physician-adjusted tumor loci. A multicenter, multireader, and multicase (MRMC) study was designed to compare clinician performance without and with the use of CAD. Interobserver variability was also analyzed. Excellent, satisfactory, and poor segmentations were observed ...
Source: Cancers - Category: Cancer & Oncology Authors: Tags: Article Source Type: research
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