Quantitative myocardial infarction on delayed enhancement MRI. Part II: Clinical application of an automated feature analysis and combined thresholding infarct sizing algorithm.

J Magn Reson Imaging

Laboratory of Cardiac Energetics, National Heart Lung and Blood Institute, National Institutes of Health/DHHS, 10 Center Drive, Bethesda, MD 20892, USA.

Published: March 2006

AI Article Synopsis

  • The study aimed to compare how accurately myocardial infarction (MI) is measured using manual contouring by humans and a validated computer algorithm on MR images.
  • It involved 20 patients and assessed infarct size and extent through manual, automated, and expert consensus methods across different myocardial sectors.
  • Results showed that while there was a strong correlation between human and algorithm measurements, human manual contouring tended to overestimate infarct size and grades significantly.

Article Abstract

Purpose: To compare global and regional myocardial infarction (MI) measurements on clinical gadolinium-enhanced magnetic resonance (MR) images using human manual contouring and a computer algorithm previously validated by histopathology, and to study the degree to which visual assessment and human contouring of infarct extent agreed with the computer algorithm.

Materials And Methods: Infarct size in 20 patients was measured by human manual contouring and with an automated feature analysis and combined thresholding (FACT) computer algorithm. Short-axis slices were divided into myocardial sectors for regional analysis. Extent of infarction was also graded visually by consensus of expert readers and compared to human and computer contouring.

Results: Despite good correlations (R = 0.93-0.95) between human contouring and the FACT algorithm, human contouring overestimated infarct size by 3.8% of the left ventricle (23.8% of the MI) area (P < 0.001). Human contouring also overestimated the circumferential extent, transmural extent, and extent of infarction within a sector by 7.1%, 18.2%, and 27.9%, respectively (all P < 0.001). Both consensus reading and human contouring overestimated infarct grades compared with the FACT algorithm (P = 0.002 and P < 0.001).

Conclusion: Clinically relevant overestimation of MI can occur in visual interpretation and in human manual contouring, particularly with respect to extent of infarction on a regional basis.

Download full-text PDF

Source
http://dx.doi.org/10.1002/jmri.20495DOI Listing

Publication Analysis

Top Keywords

human contouring
20
human manual
12
manual contouring
12
extent infarction
12
contouring overestimated
12
human
9
myocardial infarction
8
automated feature
8
feature analysis
8
analysis combined
8

Similar Publications

This study examines the efficacy of jaw exercising products for facial contouring. The two individuals used a commercially available jaw exerciser for approximately three months, following the provided instructions. Neither case reported noticeable changes in jaw appearance based on subjective measurements.

View Article and Find Full Text PDF

Abnormal uterine bleeding (AUB) is a common gynecological condition that disrupts women's health due to irregularities in menstrual frequency, duration, and volume, often resulting in a significant impact on daily life and productivity. Accurate diagnosis of AUB is critical but complicated by its varied etiologies and presentations. Recent advancements in imaging techniques, particularly the Morphological Uterus Sonographic Assessment (MUSA), have enhanced the diagnostic precision of uterine pathologies such as fibroids and adenomyosis.

View Article and Find Full Text PDF

Enhancing early detection of Alzheimer's disease through hybrid models based on feature fusion of multi-CNN and handcrafted features.

Sci Rep

December 2024

Department of Information and Computer Science, College of Computer Science and Engineering, University of Ha'il, Ha'il, 81481, Saudi Arabia.

Alzheimer's disease (AD) is a brain disorder that causes memory loss and behavioral and thinking problems. The symptoms of Alzheimer's are similar throughout its development stages, which makes it difficult to diagnose manually. Therefore, artificial intelligence (AI) techniques address the limitations of manual diagnosis.

View Article and Find Full Text PDF

Fractional 1064 nm Nd: YAG picosecond lasers for the treatment of traumatic scars: a retrospective study.

Lasers Med Sci

December 2024

Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Jiangwangmiao Street 12, Xuanwu District, Nanjing, Jiangsu Province, 210042, China.

Traumatic scars negatively impact the patient's quality of life. Fractional 1064 nm Nd: YAG picosecond laser improves scars. However, the effect varies among individuals.

View Article and Find Full Text PDF

Importance: Radiotherapy (RT) plan quality is an established predictive factor associated with cancer recurrence and survival outcomes. The addition of radiologists to the peer review (PR) process may increase RT plan quality.

Objective: To determine the rate of changes to the RT plan with and without radiology involvement in PR of radiation targets.

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!