In order to test the diagnostic performance of various ECG computer programs a reference library of ECGs is being established and evaluation methods are being developed in an international co-operative project. A pilot study was undertaken in which 250 validated electrocardiograms (ECG) and vectorcardiograms (VCG) comprising seven diagnostic groups i.e., normal, left, right and bi-ventricular hypertrophy, anterior, inferior and combined infarction have been analysed independently by 11 different computer programs as well as by six cardiologists. A coding scheme was applied to assign individual diagnostic statements to a common set and to obtain combined program and cardiologist interpretation results. Preliminary results indicate that the accuracy of classification by different programs varies widely. Total accuracy varied between 57.2% and 75.8% (median 69.4%). The cardiologists had a higher accuracy (median 74.3%) than the majority of programs, at least when using the standard ECG. As it is considered premature to stress individual program results, in view of the current sample size, the enhancement in diagnostic accuracy obtained by combining interpretation results is highlighted. Indeed combined cardiologist and program results demonstrated the highest accuracy i.e., respectively 78.7% and 76.1%, higher than the result of any individual reader or program. The combined result of the five most accurate programs was 78.4%, that of the six least accurate was 71.5%, which is again higher than the respective individual components. These findings demonstrate that the combination of expert knowledge of computer programs can, similar to panel review and group analysis in clinical practice, enhance diagnostic accuracy.
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http://dx.doi.org/10.1093/oxfordjournals.eurheartj.a062453 | DOI Listing |
Lymphology
January 2024
Medical Biophysics Department, Medical Research Institute, Alexandria University, Alexandria, Egypt.
Lymphadenopathy is associated with lymph node abnormal size or consistency due to many causes. We employed the deep convolutional neural network ResNet-34 to detect and classify CT images from patients with abdominal lymphadenopathy and healthy controls. We created a single database containing 1400 source CT images for patients with abdominal lymphadenopathy (n = 700) and healthy controls (n = 700).
View Article and Find Full Text PDFAsian Pac J Cancer Prev
January 2025
Nitte (Deemed to be University), Nitte University Centre for Science Education and Research (NUCSER), Division of Molecular Genetics and Cancer, Mangaluru, Karnataka, India.
Background: Oral cancer screening programs can aid in the early identification of potentially malignant oral lesions. The objective of the present study was to evaluate the effectiveness of the Oral Rub and Rinse (ORR) technique as an oral cancer screening tool and to test its potential in detecting genetic alterations in exfoliated cells obtained through ORR.
Methods: The screening programs were conducted in rural Dakshina Kannada and Udupi districts in Karnataka.
Neurogastroenterol Motil
January 2025
Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA.
Background: The carbon-13 spirulina gastric emptying breath test (GEBT) is approved to identify delayed, but not accelerated, gastric emptying (GE). We compared the utility of the GEBT to scintigraphy for diagnosing abnormal GE in patients with diabetes mellitus.
Methods: Twenty-eight patients with diabetes ate a 230-kcal test meal labeled with technetium 99 m and C-spirulina, after which 10 scintigraphic images and breath samples (baseline, 15, 30, 45, 60, 90, 120, 150, 180, 210, and 240 min) were collected on 2 occasions 1 week apart.
Geroscience
January 2025
State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China.
Biological brain age is a brain-predicted age using machine learning to indicate brain health and its associated conditions. The presence of an older predicted brain age relative to the actual chronological age is indicative of accelerated aging processes. Consequently, the disparity between the brain's chronological age and its predicted age (brain-age gap) and the factors influencing this disparity provide critical insights into cerebral health dynamics during aging.
View Article and Find Full Text PDFRadiol Med
January 2025
Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong.
Purpose: Bodyweight loss is commonly found in Nasopharyngeal Carcinoma patients during Concurrent Chemo-radiotherapy (CCRT) and has implications for treatment decisions. However, the prognostic value of this weight loss remains uncertain. We addressed it by proposing a novel index Weight Censorial Score (WCS) that characterizes the patient-specific CCRT response on actual to estimated weight loss.
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