Clinicopathologic examination of 33 nodules from 23 cases of minimum-sized hepatocellular carcinoma (HCC), less than 15 mm in diameter, was carried out by imaging and clinical follow up. On ultrasound (US), 16 hypoechoic nodules (48%) and 15 hyperechoic nodules (45%) on angiography 7 tumour stains (21%) and on computerized tomography (CT) 3 low density nodules (9%) were detected. Of 27 nodules on lipiodol CT (LpCT), 7 lipiodol-deposited nodules (26%) were detected. Of 16 nodules on CO2US angiography (US-angiography), 7 hypervascular (44%), 5 hypovascular (31%) and 4 isovascular nodules (25%) were detected. Of 13 nodules on CT during arterial portography (CTAP), 7 perfusion defect nodules (54%) were detected. The nodules were graded according to the Edmondson & Steiner Classification. Three nodules were resected; grossly, two were not distinct and one was poorly demarcated. Histologically, they were highly differentiated with irregularly-thin trabecular-patterned HCC where portal triads were detected. Cancer cells invaded the non-cancerous liver cells by replacement, and the border between the cancerous and non-cancerous regions was unclear; the latter region manifested chronic hepatitis or liver cirrhosis without hyperplasia. Minimum-sized HCC is characteristically hypovascular in arterial and portal supply of blood, of multicentric origin and of a well-differentiated pattern. Because the three resected nodules did not damage the liver acinus structure, they were considered to be an early stage of HCC.

Download full-text PDF

Source
http://dx.doi.org/10.1111/j.1440-1746.1995.tb01338.xDOI Listing

Publication Analysis

Top Keywords

detected nodules
16
nodules
13
hepatocellular carcinoma
12
minimum-sized hepatocellular
8
detected
5
clinicopathological study
4
study minimum-sized
4
carcinoma approach
4
approach definition
4
definition early
4

Similar Publications

Feasibility of AI as first reader in the 4-IN-THE-LUNG-RUN lung cancer screening trial: impact on negative-misclassifications and clinical referral rate.

Eur J Cancer

December 2024

Institute for Diagnostic Accuracy, Groningen, the Netherlands; Faculty of Medical Sciences, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands. Electronic address:

Background: Lung cancer screening (LCS) with low-dose CT (LDCT) reduces lung-cancer-related mortality in high-risk individuals. AI can potentially reduce radiologist workload as first-read-filter by ruling-out negative cases. The feasibility of AI as first reader was evaluated in the European 4-IN-THE-LUNG-RUN (4ITLR) trial, comparing its negative-misclassifications (NMs) to those of radiologists and the impact on referral rates.

View Article and Find Full Text PDF

Premise: Prairies are among the most threatened biomes due to changing patterns of climate and land use, yet information on genetic variation in key species that would inform conservation is often limited. We assessed evidence for the geographic scale of population-level variation in growth of two species of prairie clover and of their symbiotic associations with nitrogen-fixing bacteria.

Methods: Seed representing two species, Dalea candida and D.

View Article and Find Full Text PDF

Background: Adenoid cystic carcinoma of the breast is a rare subtype, constituting less than 3.5% of primary breast carcinomas. Despite being categorized as a type of triple-negative breast cancer, it generally has a favorable prognosis.

View Article and Find Full Text PDF

Bitter acids (BA) are main component of Humulus lupulus L. (hops). They are known for beer brewing and have various biological and pharmacological properties, especially the bone-protective effect confirmed by our previous in vivo study.

View Article and Find Full Text PDF
Article Synopsis
  • The study evaluates a deep learning model (LCP-CNN) for classifying the risk of incidentally detected pulmonary nodules, comparing its performance to traditional statistical methods like the Brock model and Lung-RADS®.
  • LCP-CNN showed superior diagnostic accuracy and sensitivity across various patient cohorts, making it more effective for identifying malignant nodules compared to the other methods.
  • The findings suggest that integrating deep learning systems can enhance clinical workflows for managing pulmonary nodules, regardless of a patient’s specific risk factors or conditions.
View Article and Find Full Text PDF

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!