Purpose: The purpose of this study was to investigate the added value of artificial intelligence (AI) solutions for the detection of arterial stenosis (AS) on head and neck CT angiography (CTA).

Materials And Methods: Patients who underwent head and neck CTA examinations at two hospitals were retrospectively included. CTA examinations were randomized into group 1 (without AI-washout-with AI) and group 2 (with AI-washout-without AI), and six readers (two radiology residents, two non-neuroradiologists, and two neuroradiologists) independently interpreted each CTA examination without and with AI solutions. Additionally, reading time was recorded for each patient. Digital subtraction angiography was used as the standard of reference. The diagnostic performance for AS at lesion and patient levels with four AS thresholds (30 %, 50 %, 70 %, and 100 %) was assessed by calculating sensitivity, false-positive lesions index (FPLI), specificity, and accuracy.

Results: A total of 268 patients (169 men, 63.1 %) with a median age of 65 years (first quartile, 57; third quartile, 72; age range: 28-88 years) were included. At the lesion level, AI improved the sensitivity of all readers by 5.2 % for detecting AS ≥ 30 % (P < 0.001). Concurrently, AI reduced the FPLI of all readers and specifically neuroradiologists for detecting non-occlusive AS (all P < 0.05). At the patient level, AI improved the accuracy of all readers by 4.1 % (73.9 % [1189/1608] without AI vs. 78.0 % [1254/1608] with AI) (P < 0.001). Sensitivity for AS ≥ 30 % and the specificity for AS ≥ 70 % increased for all readers with AI assistance (P = 0.01). The median reading time for all readers was reduced from 268 s without AI to 241 s with AI (P< 0.001).

Conclusion: AI-assisted diagnosis improves the performance of radiologists in detecting head and neck AS, and shortens reading time.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.diii.2024.07.008DOI Listing

Publication Analysis

Top Keywords

head neck
16
reading time
12
artificial intelligence
8
intelligence solutions
8
arterial stenosis
8
neck angiography
8
cta examinations
8
level improved
8
readers
6
solutions arterial
4

Similar Publications

A rare haplotype of the GJD3 gene segregating in familial Meniere's disease interferes with connexin assembly.

Genome Med

January 2025

Otology & Neurotology Group CTS495, Instituto de Investigación Biosanitario, Ibs.GRANADA, Universidad de Granada, 18071, Granada, Spain.

Background: Familial Meniere's disease (FMD) is a rare polygenic disorder of the inner ear. Mutations in the connexin gene family, which encodes gap junction proteins, can also cause hearing loss, but their role in FMD is largely unknown.

Methods: We retrieved exome sequencing data from 94 individuals in 70 Meniere's disease (MD) families.

View Article and Find Full Text PDF

Background: Perivascular epithelioid cell tumors (PEComas) rarely appear in the head and neck region. This case report describes two transcription factor E3 (TFE3)-rearranged PEComa cases, consisting of one in the orbit and one in the nasal cavity.

Case Presentation: Both cases demonstrated sheet-like or focal nested architecture and comprised epithelioid cells with abundant clear to eosinophilic cytoplasm and vascular stroma.

View Article and Find Full Text PDF

TOM40 as a prognostic oncogene for oral squamous cell carcinoma prognosis.

BMC Cancer

January 2025

Department of Otorhinolaryngology, Shenzhen Key Laboratory of Otorhinolaryngology, Longgang Otorhinolaryngology Hospital, Shenzhen Institute of Otorhinolaryngology, No. 3004 Longgang Avenue, Shenzhen, Guangdong, China.

Background: To investigate the role of the translocase of the outer mitochondrial membrane 40 (TOM40) in oral squamous cell carcinoma (OSCC) with the aim of identifying new biomarkers or potential therapeutic targets.

Methods: TOM40 expression level in OSCC was evaluated using datasets downloaded from The Cancer Genome Atlas (TCGA), as well as clinical data. The correlation between TOM40 expression level and the clinicopathological parameters and survival were analyzed in TCGA.

View Article and Find Full Text PDF

Background: Postoperative patients with oral cancer are deeply distressed about their body image. However, their true inner feelings and the factors influencing body image remain unclear.

Aims: This study aims to investigate the experience of body image disturbance in patients 3 months after oral cancer surgery and analyze the influencing factors.

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!