Purpose: To evaluate the clinical features of hepatocellular carcinoma (HCC) supplied by the left internal mammary artery (LIMA).
Materials And Methods: This cohort included 12 HCCs of 12 patients supplied by the LIMA. The clinical features of these tumors were analyzed.
Results: The tumor diameters were 4.2 ± 4.4 cm (mean ± SD) located at the surface of segments 4 (n = 6), 3 (n = 3), 2 (n = 2), and 4-8 (n = 1), respectively. The tumor was supplied by the phrenic branch (n = 8) or musclophrenic artery (n = 4) entirely (n = 7) or partially (n = 5). Two patients with large tumors 10 and 16 cm in diameter, respectively, received no previous treatment. Ten patients had previously undergone 5.8 ± 3.7 TACE sessions including through extrahepatic collaterals. Selective TACE could not be completed in one. No TACE-related complications developed. Of 11 embolized tumors, six did not recur at 8.8 ± 4.6 months and five recurred 4.4 ± 2.6 months later.
Conclusion: The clinical features of HCC supplied by the LIMA can be divided into two categories, untreated large tumors and small tumors receiving multiple TACE sessions at the subcapsular area of the left hepatic lobe.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s11604-012-0123-2 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Internet-Based Dementia Prevention Intervention (DementiaRisk): Protocol for a Randomized Controlled Trial and Knowledge Translation.
JMIR Res Protoc
January 2025
McMaster University, Hamilton, ON, Canada.
Background: Research has shown that engaging in a range of healthy lifestyles or behavioral factors can help reduce the risk of developing dementia. Improved knowledge of modifiable risk factors for dementia may help engage people to reduce their risk, with beneficial impacts on individual and public health. Moreover, many guidelines emphasize the importance of providing education and web-based resources for dementia prevention.
View Article and Find Full Text PDFMultimodal Pain Recognition in Postoperative Patients: Machine Learning Approach.
JMIR Form Res
January 2025
Department of Computer Science, University of California, Irvine, Irvine, CA, United States.
Background: Acute pain management is critical in postoperative care, especially in vulnerable patient populations that may be unable to self-report pain levels effectively. Current methods of pain assessment often rely on subjective patient reports or behavioral pain observation tools, which can lead to inconsistencies in pain management. Multimodal pain assessment, integrating physiological and behavioral data, presents an opportunity to create more objective and accurate pain measurement systems.
View Article and Find Full Text PDFDeep venous thrombosis (DVT) has insidious clinical symptoms, and only a few patients suffer from lower limb swelling, tenderness and dorsal flexion pain. We aimed to explore the ultrasonographic features and risk factors of postoperative lower limb DVT in patients with lower limb fractures. Ninety patients with lower limb fractures admitted from January 1st, 2021 to June 30th, 2023 were selected.
View Article and Find Full Text PDFStructure Protects Function: A Multilevel Engineered Surface Modification Renders the Surface of Titanium Dental Implants Resistant to Bacterial Colonization.
ACS Appl Mater Interfaces
January 2025
DWI─Leibniz Institute for Interactive Materials e.V., Forckenbeckstraße 50, Aachen 52074, Germany.
The global dental implant market is projected to reach $9.5 billion by 2032, growing at a 6.5% compound annual growth rate due to the rising prevalence of dental diseases.
View Article and Find Full Text PDFAlzheimer's disease image classification based on enhanced residual attention network.
PLoS One
January 2025
School of Emergency Management, Institute of Disaster Prevention, Sanhe, Hebei, China.
With the increasing number of patients with Alzheimer's Disease (AD), the demand for early diagnosis and intervention is becoming increasingly urgent. The traditional detection methods for Alzheimer's disease mainly rely on clinical symptoms, biomarkers, and imaging examinations. However, these methods have limitations in the early detection of Alzheimer's disease, such as strong subjectivity in diagnostic criteria, high detection costs, and high misdiagnosis rates.
View Article and Find Full Text PDFWant 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!