Multislice computed tomography (MSCT) and spiral (or helical) computed tomography (CT) are designed to provide faster images with better resolution than conventional CT scanning. MSCT and spiral CT have been used to quantify calcification in the coronary arteries, in an effort to link this to coronary artery disease. Long-term studies on clinical outcomes of people screened with MSCT or spiral CT are lacking, as are comparisons with established screening modalities like risk factor algorithms. Low specificity gives rise to concern over false positive results. False positives may cause harm (and expense) due to inappropriate and invasive follow-up. One study was identified in which spiral CT was compared with electron beam CT (EBCT) to evaluate coronary calcifications in 33 asymptomatic individuals, giving a sensitivity of 74% and a specificity of 70%. There is insufficient evidence at this time to suggest that asymptomatic people derive clinical benefit from undergoing coronary calcification screening using MSCT or spiral CT scanning.

Download full-text PDF

Source

Publication Analysis

Top Keywords

msct spiral
16
computed tomography
12
coronary artery
8
artery disease
8
coronary
5
spiral
5
multislice/spiral computed
4
tomography screening
4
screening coronary
4
disease multislice
4

Similar Publications

This study aimed to assess the diagnostic value of the airway post-processing technique of multi-slice spiral CT(MSCT) in Accessory cardiac bronchus(ACB)and to improve the understanding of this disease. The original MSCT axial images and various post-processing reconstructed images of 9 ACB cases were retrospectively analyzed.Airway post-processing techniques, including multi-planar reformation(MPR), minimum intensity projection (MinIP), volume rendering technique(VRT), CT virtual endoscopy(CTVE) and tissue transition projection (TTP), were employed.

View Article and Find Full Text PDF

Automated detection and classification of mandibular fractures on multislice spiral computed tomography using modified convolutional neural networks.

Oral Surg Oral Med Oral Pathol Oral Radiol

December 2024

Department of Oral and Maxillofacial Surgery, General Hospital of Ningxia Medical University, Yinchuan, P.R. China; Institution of Medical Sciences, General Hospital of Ningxia Medical University, Yinchuan, P.R. China. Electronic address:

Article Synopsis
  • The study aimed to assess how well convolutional neural networks (CNNs) can automatically detect and classify mandibular fractures using multislice spiral computed tomography (MSCT) data from 361 patients.
  • Different detection models, including YOLOv3 and YOLOv5-TRS, were evaluated, with YOLOv5-TRS achieving the highest accuracy of 96.68% for detecting fractures.
  • For classification, the modified DenseNet-121 model performed best, showing a high reliability in diagnosing fractures, particularly in the body region, indicated by AUC values above 0.75.
View Article and Find Full Text PDF

Objective: To compare the clinical value of multi-slice spiral computed tomography (MSCT) low-dose three-dimensional reconstruction and traditional X-ray in the auxiliary diagnosis of distal radius epiphyseal injury in children.

Methods: A retrospective analysis was performed on 105 children with distal radius bone scale injury (classified by Salter-Harris classification) admitted from March 2020 to June 2022. All children underwent MSCT three-dimensional reconstruction examination and traditional X-ray examination.

View Article and Find Full Text PDF

This study explores the efficacy of texture analysis by using preoperative multi-slice spiral computed tomography (MSCT) to non-invasively determine the grade of cellular differentiation in head and neck squamous cell carcinoma (HNSCC). In a retrospective study, MSCT scans of patients with HNSCC were analyzed and classified based on its histological grade as moderately differentiated, well-differentiated, or poorly differentiated. The location of the tumor was categorized as either in the bone or in soft tissues.

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!