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Duplication of the gallbladder: An intraoperative finding during laparoscopic cholecystectomy.
Int J Surg Case Rep
January 2025
University Surgical Unit, National Hospital of Sri Lanka, Colombo, Sri Lanka.
Introduction: Duplication of the gallbladder is a rare congenital malformation associated with the development of cholelithiasis. It increases the risk of iatrogenic bile duct injury during cholecystectomy and can lead to symptom recurrence if missed. Although preoperative imaging is helpful, detection rates are around 50 %.
View Article and Find Full Text PDFInter-rater agreement and characterization of pleural line and subpleural fields in canine lung ultrasound: a comparative pilot study between high-frequency linear and curvilinear transducers using B- and M-mode ultrasonographic profiles.
Ultrasound J
January 2025
Department of Veterinary Clinical and Diagnostic Sciences, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada.
Background: Lung ultrasound (LUS) is increasingly utilized in veterinary medicine to assess pulmonary conditions. However, the characterization of pleural line and subpleural fields using different ultrasound transducers, specifically high-frequency linear ultrasound transducers (HFLUT) and curvilinear transducers (CUT), remains underexplored in canine patients. This study aimed to evaluate inter-rater agreement in the characterization of pleural line and subpleural fields using B- and M-mode ultrasonography in dogs with and without respiratory distress.
View Article and Find Full Text PDFAutomated assessment of endometrial receptivity for screening recurrent pregnancy loss risk using deep learning-enhanced ultrasound and clinical data.
Front Physiol
December 2024
Department of Obstetrics and Gynecology, Deyang People's Hospital, Deyang, Sichuan, China.
Background: Recurrent pregnancy loss (RPL) poses significant challenges in clinical management due to an unclear etiology in over half the cases. Traditional screening methods, including ultrasonographic evaluation of endometrial receptivity (ER), have been debated for their efficacy in identifying high-risk individuals. Despite the potential of artificial intelligence, notably deep learning (DL), to enhance medical imaging analysis, its application in ER assessment for RPL risk stratification remains underexplored.
View Article and Find Full Text PDFClinicopathologic and ultrasonographic features of combined hepatocellular-cholangiocarcinoma and its correlation with microvascular invasion: a predictive role of contrast-enhanced ultrasound.
Front Oncol
December 2024
Clinical Medical College, Guizhou Medical University, Guiyang, Guizhou, China.
Article Synopsis
- The study investigates the characteristics of combined hepatocellular-cholangiocarcinoma (cHCC-CCA) and its association with microvascular invasion (MVI) using ultrasonography, particularly contrast-enhanced ultrasound (CEUS).
- A retrospective analysis of 57 patients with cHCC-CCA found that those with MVI exhibited specific ultrasonographic features, such as larger tumor size and distinct CEUS patterns.
- Results indicated that features like low echo halo, irregular rim-like enhancement, and early washout are significant risk factors for MVI, providing a predictive tool for clinicians.
Nomogram for predicting the efficacy of high-intensity focused ultrasound ablation for uterine fibroids based on oxytocin experimentation and ultrasonographic features: a retrospective single-center study.
Int J Hyperthermia
December 2025
State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical Unibersity, Chongqing, China.
Article Synopsis
- Developed a nomogram to predict the effectiveness of high-intensity focused ultrasound (HIFU) for treating uterine fibroids by analyzing oxytocin levels and sonographic features of fibroids.
- Conducted a retrospective study of 60 patients, utilizing logistic regression to identify key predictive factors like myoma type, blood flow, and oxytocin classification, resulting in a model assessed using R language.
- The model demonstrated strong predictive ability with an area under the curve of 0.887 and good calibration, suggesting it can effectively guide clinicians in selecting appropriate patients for HIFU treatment.
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