AI Article Synopsis
- The study aimed to evaluate how consistently different radiologists interpret the Neck Imaging Reporting and Data System (NI-RADS) when analyzing MRI scans, especially focusing on the efficacy of including diffusion-weighted imaging (DWI) data.
- Results showed that agreement between raters was moderate for the primary site of tumors but more reliable for neck assessments and exceptional when using DWI imaging. Notably, agreement dropped significantly when identifying cancer recurrences.
- The conclusion emphasized that while NI-RADS works reasonably well for neck evaluations, its reliability for assessing the primary site is limited, suggesting that DWI could enhance diagnostic accuracy.
Article Abstract
Objectives: To assess inter- and intrareader agreement of the Neck Imaging Reporting and Data System (NI-RADS) used in contrast-enhanced magnetic resonance imaging (MRI) including analysis of diffusion-weighted imaging (DWI), which is currently not part of the NI-RADS criteria.
Methods: This retrospective study included anonymized surveillance contrast-enhanced MRI datasets of 104 patients treated for different head and neck cancers. Three radiologists experienced in head and neck imaging reported findings for the primary site and the neck using NI-RADS criteria in a first step and evaluated DWI sequences for the primary site in a second step. Thirty randomly selected imaging datasets were again presented to the readers. Kappa statistics and observed agreement (A) were calculated.
Results: Interreader agreement across all MRI datasets was moderate (κ = 0.53) for NI-RADS categories assigned to the primary site, substantial for NI-RADS categories of the neck (κ = 0.67), and almost perfect for DWI of the primary site (κ = 0.83). Interreader agreement for the primary site was particularly low in cases of cancer recurrence (κ = 0.35) and when categories 2a, 2b, and 3 were combined (κ = 0.30). Intrareader agreement was considerably lower for NI-RADS categories of the primary site (range A = 53.3-70.0%) than for NI-RADS categories of the neck (range A = 83.3-90.0%) and DWI of the primary site (range A = 93.3-100.0%).
Conclusion: Interreader agreement of NI-RADS for reporting contrast-enhanced MRI findings is acceptable for the neck but limited for the primary site. Here, DWI has the potential to serve as a reliable additional criterion.
Key Points: • NI-RADS was originally designed for contrast-enhanced computed tomography with or without positron emission tomography but can also be used for contrast-enhanced magnetic resonance imaging alone. • Overall interreader agreement was acceptable for NI-RADS categories assigned to the neck but should be improved for the primary site, where it was inferior to DWI; similar tendencies were found for intrareader agreement. • DWI is currently no criterion of NI-RADS, but has shown potential to improve its reliability, especially for categories 2a, 2b, and 3 of the primary site.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270833 | PMC |
| http://dx.doi.org/10.1007/s00330-021-07693-4 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Impact of Online Interactive Decision Tools on Women's Decision-Making Regarding Breast Cancer Screening: Systematic Review and Meta-Analysis.
J Med Internet Res
January 2025
Cancer Screening, American Cancer Society, Atlanta, GA, United States.
Background: The online nature of decision aids (DAs) and related e-tools supporting women's decision-making regarding breast cancer screening (BCS) through mammography may facilitate broader access, making them a valuable addition to BCS programs.
Objective: This systematic review and meta-analysis aims to evaluate the scientific evidence on the impacts of these e-tools and to provide a comprehensive assessment of the factors associated with their increased utility and efficacy.
Methods: We followed the 2020 PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and conducted a search of MEDLINE, PsycINFO, Embase, CINAHL, and Web of Science databases from August 2010 to April 2023.
Provision of Radiology Reports Simplified With Large Language Models to Patients With Cancer: Impact on Patient Satisfaction.
JCO Clin Cancer Inform
January 2025
Department of Radiology, Dr BRAIRCH, All India Institute of Medical Sciences, New Delhi, India.
Purpose: To explore the perceived utility and effect of simplified radiology reports on oncology patients' knowledge and feasibility of large language models (LLMs) to generate such reports.
Materials And Methods: This study was approved by the Institute Ethics Committee. In phase I, five state-of-the-art LLMs (Generative Pre-Trained Transformer-4o [GPT-4o], Google Gemini, Claude Opus, Llama-3.
Review of national contaminated land management frameworks in front of the new EU Soil Monitoring Law era-the case study of Greece.
Integr Environ Assess Manag
January 2025
National Technical University of Athens, Zografou, Athens, 15773, Greece.
The European Union (EU) currently addresses the issue of contaminated land management through the national frameworks of its member states, as there is no such EU legislation thus far. However, with the introduction of the new EU Soil Strategy and the anticipated Soil Monitoring Law, EU countries are poised to receive a unified legislative tool that is expected to enhance their soil policies significantly. These legislative developments are set to introduce key initiatives such as the establishment of a contaminated site registry and the imposition of restrictions on soil contamination using screening values and soil monitoring practices.
View Article and Find Full Text PDFA head-to-head comparison of the adult EQ-5D-5L and youth EQ-5D-Y-5L in adolescents with idiopathic scoliosis.
J Patient Rep Outcomes
January 2025
EuroQol Research Foundation, Rotterdam, The Netherlands.
Background: Multiple diseases, such as Adolescent Idiopathic Scoliosis (AIS), present at adolescent age and the impact on quality of life (QoL) prolongs into adulthood. For the EQ-5D, a commonly used instrument to measure QoL, the current guideline is ambiguous whether the youth or adult version is to be preferred at adolescent age. To assess which is most suitable, this study tested for equivalence along predefined criteria of the youth (EQ-5D-5L) and adult (EQ-5D-Y-5L) version in an adolescent population receiving bracing therapy for AIS.
View Article and Find Full Text PDFEnhanced O-glycosylation Site Prediction Using Explainable Machine Learning Technique with Spatial Local Environment.
Bioinformatics
January 2025
Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.
Motivation: The accurate prediction of O-GlcNAcylation sites is crucial for understanding disease mechanisms and developing effective treatments. Previous machine learning models primarily relied on primary or secondary protein structural and related properties, which have limitations in capturing the spatial interactions of neighboring amino acids. This study introduces local environmental features as a novel approach that incorporates three-dimensional spatial information, significantly improving model performance by considering the spatial context around the target site.
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!