Background: The purpose of the study was to determine whether preoperative treatment plans for patients with lower extremity ischemia can be made with electrocardiography (EKG)-triggered two-dimensional (2D) time-of-flight (TOF) magnetic resonance angiography (MRA) as accurately as digital subtraction angiography (DSA).

Methods: Forty patients were prospectively evaluated with the combination of EKG-triggered 2D TOF MRA, DSA, and pulse volume recordings. Blinded reviewers graded arterial segments for disease severity. Accuracy of separate MRA- and DSA-based treatment plans was compared with the procedures performed based on all available information.

Results: There was an 86% exact match between MRA- and DSA-based plans (92% MRA and 94% DSA accuracy). The MRA-based plan accurately predicted 90% of suprainguinal and 95% of infrainguinal procedures, whereas the DSA-based plan accurately predicted 100% of suprainguinal and 85% of infrainguinal procedures. Two-year primary patency was 83% for all procedures. Radiologists' review of disease severity resulted in a mean exact correlation between studies of 81% (kappa = 0.64). The agreement between radiologists interpreting the MRA was 84% (kappa = 0.7) compared with 82% (kappa = 0.66) for the DSA.

Conclusions: MRA- and DSA-based preoperative management plans were of comparable efficacy. Significant interobserver variability was seen with the interpretations of both preoperative studies. EKG-triggered 2D TOF MRA can be used to plan arterial reconstructions; however, all patients require arterial pressure measurements prior to suprainguinal repair and confirmatory intraoperative angiography during infrainguinal revascularization.

Download full-text PDF

Source
http://dx.doi.org/10.1016/s0002-9610(99)00158-0DOI Listing

Publication Analysis

Top Keywords

treatment plans
12
mra- dsa-based
12
lower extremity
8
two-dimensional time-of-flight
8
magnetic resonance
8
resonance angiography
8
digital subtraction
8
subtraction angiography
8
ekg-triggered tof
8
tof mra
8

Similar Publications

Glycosylation gene expression profiles enable prognosis prediction for colorectal cancer.

Sci Rep

January 2025

Department of Anus and Intestine Surgery, The Affiliated Hospital of Guizhou Medical University, No. 28 Guiyi Street, Yunyan District, Guiyang City, 550004, Guizhou Province, China.

This study developed a prognostic model for patients with colon adenocarcinoma (COAD) based on glycosylation-associated genes. By analyzing TCGA-COAD data, 110 key genes were identified, and a prognostic model incorporating five glycosylation-related genes was constructed. The model exhibits good predictive performance and is significantly associated with clinical features such as age, N stage, M stage, and lymph node count.

View Article and Find Full Text PDF

D-ribose-5-phosphate inactivates YAP and functions as a metabolic checkpoint.

J Hematol Oncol

January 2025

Department of Radiation Oncology, Henan Provincial Key Laboratory of Radiation Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, People's Republic of China.

Background: Targeting glucose uptake by glucose transporter (GLUT) inhibitors is a therapeutic opportunity, but efforts on GLUT inhibitors have not been successful in the clinic and the underlying mechanism remains unclear. We aim to identify the key metabolic changes responsible for cancer cell survival from glucose limitation and elucidate its mechanism.

Methods: The level of phosphorylated YAP was analyzed with Western blotting and Phos-tag immunoblotting.

View Article and Find Full Text PDF

Drug repositioning for Parkinson's disease: an emphasis on artificial intelligence approaches.

Ageing Res Rev

January 2025

Center for Global Health Research, Saveetha Medical College & Hospitals, Saveetha Institute of Medical & Technical Sciences, Saveetha University, Chennai, India; Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran; Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. Electronic address:

Parkinson's disease (PD) is one of the most incapacitating neurodegenerative diseases (NDDs). PD is the second most common NDD worldwide which affects approximately 1 to 2 percent of people over 65 years. It is an attractive pursuit for artificial intelligence (AI) to contribute to and evolve PD treatments through drug repositioning by repurposing existing drugs, shelved drugs, or even candidates that do not meet the criteria for clinical trials.

View Article and Find Full Text PDF

Background: Colorectal cancer (CRC) presents significant challenges in chemotherapy response prediction due to its molecular heterogeneity. Current methods often fail to account for the complexity and variability inherent in individual tumors.

Methods: We developed a novel approach using matched CRC tumor and organoid gene expression data.

View Article and Find Full Text PDF

Open abdomen treatment (OAT) is associated with significant morbidity and mortality. In cases where primary or delayed fascial closure cannot be achieved, vacuum-assisted wound closure and mesh-mediated fascial traction are indicated, which often result in a planned ventral hernia. If secondary skin closure is not feasible, common treatment of granulated abdominal defects involves split-thickness skin-grafting or healing by secondary intention leading to significant scarring and sometimes mutilating defects.

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!