Combined hepatocellular-cholangiocarcinoma (cHCC-CC) is a rare type of primary liver cancer. It is a complex "biphenotypic" tumor type consisting of bipotential hepatic progenitor cells that can differentiate into cholangiocytes subtype and hepatocytes subtype. The prognosis of patients with cHCC-CC is quite poor with its specific and more aggressive nature. Furthermore, there are no definite demographic or clinical features of cHCC-CC, thus a clear preoperative identification and accurate non-invasive imaging diagnostic analysis of cHCC-CC are of great value. In this review, we first summarized the epidemiological features, pathological findings, molecular biological information and serological indicators of cHCC-CC disease. Then we reviewed the important applications of non-invasive imaging modalities-particularly ultrasound (US)-in cHCC-CC, covering both diagnostic and prognostic assessment of patients with cHCC-CC. Finally, we presented the shortcomings and potential outlooks for imaging studies in cHCC-CC.
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http://dx.doi.org/10.1007/s00261-023-03879-0 | DOI Listing |
BMC Gastroenterol
January 2025
Independent Researcher, İzmir, Turkey.
Background: Small-bowel angioectasia is commonly diagnosed and managed using double-balloon enteroscopy; however, rebleeding rates can vary significantly. This study aimed to identify and evaluate the clinical predictors of rebleeding in patients with small-bowel angioectasia.
Methods: This retrospective study focused on adult patients who underwent endoscopic management for small bowel vascular lesions (SBVLs).
BMC Cancer
January 2025
The Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.
Background And Objectives: Accurate classification of lymphadenopathy is essential for determining the pathological nature of lymph nodes (LNs), which plays a crucial role in treatment selection. The biopsy method is invasive and carries the risk of sampling failure, while the utilization of non-invasive approaches such as ultrasound can minimize the probability of iatrogenic injury and infection. With the advancement of artificial intelligence (AI) and machine learning, the diagnostic efficiency of LNs is further enhanced.
View Article and Find Full Text PDFBMC Cancer
January 2025
Department of Data Science, Faculty of Interdisciplinary Science and Technology, Tarbiat Modares University, Tehran, Iran.
Background: Melanoma is a highly aggressive skin cancer, where early and accurate diagnosis is crucial to improve patient outcomes. Dermoscopy, a non-invasive imaging technique, aids in melanoma detection but can be limited by subjective interpretation. Recently, machine learning and deep learning techniques have shown promise in enhancing diagnostic precision by automating the analysis of dermoscopy images.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
January 2025
Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Korea.
Purpose: Estrogen receptor (ER) expression and heterogeneity affect endocrine therapy efficacy. F-fluoroestradiol (F-FES) PET/CT is an effective non-invasive method to analyze systemic ER expression. This study aimed to examine the predictive/prognostic value of F-FES PET/CT for patients treated with endocrine therapy plus cyclin-dependent kinase 4/6 (CDK4/6) inhibitors.
View Article and Find Full Text PDFSci Rep
January 2025
Assistant Professor of Neurology, Department of Neurology, Tanta University, Tanta, Egypt.
The most common diagnostic error of IIH is inaccurate funduscopic examination. Moreover, IIH could be diagnosed without papilledema. Trans orbital sonography could be used as a non-invasive and cheap tool for discovering increased ICP (intracranial Pressure).
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