Purpose: To compare and determine the level of agreement of findings at conventional B-mode ultrasonography (US) and sonoelastography of the Achilles tendon with findings at histologic assessment.
Materials And Methods: This study was conducted with the approval of the institutional review boards, and all cadavers were in legal custody of the study institution. Thirteen Achilles tendons in 10 cadavers (four male, six female; age range, 70-90 years) were examined with B-mode US and sonoelastography. B-mode US grading was as follows: Grade 1 indicated a normal-appearing tendon with homogeneous fibrillar echotexture; grade 2, a focal fusiform or diffuse enlarged tendon; and grade 3, a hypoechoic area with or without tendon enlargement. Sonoelastography grading was as follows: Grade 1 indicated blue (hardest) to green (hard); grade 2, yellow (soft); and grade 3, red (softest). Twenty-five biopsy specimens from representative lesions of the middle and distal thirds of the Achilles tendons were evaluated histologically. The concordance of B-mode US grading compared with sonoelastographic grading was assessed by using κ analysis.
Results: With B-mode US and sonoelastography, all 11 tendon thirds of histologically normal tendons were verified as normal (grade 1). Sonoelastography depicted 14 of 14 (100%) tendon thirds with histologic degeneration (grade 2 or 3), whereas B-mode US could depict only 12 of 14 (86%) lesions (grade 2 or 3). Only moderate agreement between B-mode US and sonoelastography was seen (κ = 0.52, P < .001).
Conclusion: Sonoelastography might help predict signs of histopathologic degeneration of Achilles tendinosis, potentially more sensitively than B-mode US.
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http://dx.doi.org/10.1148/radiol.13121936 | DOI Listing |
Clin Hemorheol Microcirc
December 2024
Institute of Biotechnology, Molecular Cell Biology, Brandenburg University of Technology Cott-bus-Senftenberg, Senftenberg, Germany.
Background And Objective: Modern ultrasound technology enables detailed tissue morphology analysis. A novel approach involves measuring viscoelasticity or viscosity. This pilot study investigates the potential of a novel high-end ultrasound system with dynamic quality indicators and the M-Ref tool.
View Article and Find Full Text PDFUltrasound Q
March 2025
Department of General Surgery, Post Graduate Institute of Medical Sciences and Research, Chandigarh, India.
Mucinous carcinomas are a rare type of invasive breast carcinoma characterized by large quantities of extracellular mucin on histopathological examination. These tumors can be easily missed or misdiagnosed. Due to large quantities of mucin, these tumors are presumed to be "soft" masses.
View Article and Find Full Text PDFCureus
November 2024
Radiodiagnosis, Sri Ramaswamy Memorial Medical College Hospital and Research Centre, Chengalpattu, IND.
Introduction Breast cancer is a significant health concern in India, representing a large portion of all cancers affecting women and ranking as one of the most common cancers overall. Reliable diagnostic tools are essential for accurately predicting malignancy and reducing the need for unnecessary biopsies. A Breast Imaging Reporting and Database System (BI-RADS) 3 designation suggests a low likelihood of cancer, indicating that findings are likely benign.
View Article and Find Full Text PDFComput Med Imaging Graph
January 2025
Department of Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou 510060, PR China. Electronic address:
Accurate preoperative qualitative assessment of axillary lymph node metastasis (ALNM) in early breast cancer patients is crucial for precise clinical staging and selection of axillary treatment strategies. Although previous studies have introduced artificial intelligence (AI) to enhance the assessment performance of ALNM, they all focus on the prediction performances of their AI models and neglect the clinical assistance to the radiologists, which brings some issues to the clinical practice. To this end, we propose a human-AI collaboration strategy for ALNM diagnosis of early breast cancer, in which a novel deep learning framework, termed DAMF-former, is designed to assist radiologists in evaluating ALNM.
View Article and Find Full Text PDFBMC Gastroenterol
November 2024
Department of Radiological Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Asir, Saudi Arabia.
Background: Helicobacter pylori (HP) affect nearly 50% of the world's population and can colonize the submucosal and mucosal layers of the stomach wall, causing inflammation leading to a thickening of these layers. The study aimed to evaluate the application value of transabdominal ultrasonography combined with elastography in the prediction of HP using HP Fecal Antigen Test as gold standard.
Method: This prospective case-control study was conducted in 174 participants classified into three groups: Group A: Symptomatic patients with thickened stomach antral and evident HP infection on fecal antigen test results, Group B: Symptomatic patients with thickened antral and no evident HP infection on fecal antigen test results, and Group C: control group of asymptomatic individuals with negative HP screening to predict the diagnostic accuracy of B-mode ultrasound and elastography in the prediction of HP pylori.
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