This review addresses the optimal use of imaging in the diagnosis, staging, and treatment planning of patients with hepatobiliary neoplasms. We focus on primary liver cancers, including hepatocellular carcinoma and intrahepatic cholangiocarcinoma as well as extrahepatic biliary tract malignancies, including hilar cholangiocarcinoma and gallbladder cancer. In each section, we provide an overview of the staging requirements for each disease followed by a discussion of various imaging modalities that can be used to optimally stage the disease and plan therapy.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.soc.2007.04.001 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The Added Effect of Artificial Intelligence in CT Assessment of Abdominal Lymphadenopathy.
Lymphology
January 2024
Medical Biophysics Department, Medical Research Institute, Alexandria University, Alexandria, Egypt.
Lymphadenopathy is associated with lymph node abnormal size or consistency due to many causes. We employed the deep convolutional neural network ResNet-34 to detect and classify CT images from patients with abdominal lymphadenopathy and healthy controls. We created a single database containing 1400 source CT images for patients with abdominal lymphadenopathy (n = 700) and healthy controls (n = 700).
View Article and Find Full Text PDFBrain Function Outcomes of Recent and Lifetime Cannabis Use.
JAMA Netw Open
January 2025
Laboratory of NeuroImaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland.
Importance: Cannabis use has increased globally, but its effects on brain function are not fully known, highlighting the need to better determine recent and long-term brain activation outcomes of cannabis use.
Objective: To examine the association of lifetime history of heavy cannabis use and recent cannabis use with brain activation across a range of brain functions in a large sample of young adults in the US.
Design, Setting, And Participants: This cross-sectional study used data (2017 release) from the Human Connectome Project (collected between August 2012 and 2015).
A case of severe TBI: Recovery?
Appl Neuropsychol Child
January 2025
Department of Psychology and Neuroscience Center, Brigham Young University, Provo, USA.
Chronic stage neuropsychological assessments of children with severe TBI typically center around a referral question and focus on assessing cognitive, behavioral, and emotional functioning, making differential diagnoses, and planning treatment. When severe TBI-related neurological deficits are subtle and fall outside commonly assessed behavioral indicators, as can happen with theory of mind and social information processing, they can go unobserved and subsequently fail to be assessed. Additionally, should chronic stage cognitive, behavioral, and emotional assessment findings fall within the average to above average range, a child experiencing ongoing significant unassessed severe TBI-related subtle deficits could be mistakenly judged to have "recovered" from their injury; and to be experiencing no significant ongoing residual neurological deficits.
View Article and Find Full Text PDFUtility of a C-Spirulina Stable Isotope Gastric Emptying Breath Test in Diabetes Mellitus.
Neurogastroenterol Motil
January 2025
Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA.
Background: The carbon-13 spirulina gastric emptying breath test (GEBT) is approved to identify delayed, but not accelerated, gastric emptying (GE). We compared the utility of the GEBT to scintigraphy for diagnosing abnormal GE in patients with diabetes mellitus.
Methods: Twenty-eight patients with diabetes ate a 230-kcal test meal labeled with technetium 99 m and C-spirulina, after which 10 scintigraphic images and breath samples (baseline, 15, 30, 45, 60, 90, 120, 150, 180, 210, and 240 min) were collected on 2 occasions 1 week apart.
Highly specific amyloid and tau PET ligands for ATN classification in suspected Alzheimer's disease patients.
Ann Nucl Med
January 2025
Department of Radiological Sciences, School of Health Science, Fukushima Medical University, 10-6 Sakae, Fukushima City, Fukushima, 960-8516, Japan.
Objective: This study aims to accurately classify ATN profiles using highly specific amyloid and tau PET ligands and MRI in patients with cognitive impairment and suspected Alzheimer's disease (AD). It also aims to explore the relationship between quantified amyloid and tau deposition and cognitive function.
Methods: Twenty-seven patients (15 women and 12 men; age range: 64-81 years) were included in this study.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!