Introduction: Gastrointestinal endoscopy is an important modality for diagnosis and treatment of gastrointestinal disease, but there are limited data regarding the diagnostic yield of endoscopy in Cameroon and changes in the prevalence of endoscopic findings over time. Our aims were to describe the diagnostic utility of esophagogastroduodenoscopy (EGD) and colonoscopy, the impact of periodic on-site mentorship on cecal intubation rate and changes in the prevalence of common upper gastrointestinal findings when compared to a similar report from our region published in 1990.
Methods: Retrospective review of all EGD and colonoscopy procedures performed during 2015 at a regional referral hospital in North West Region, Cameroon, with comparison to EGD findings reported by Dent and colleagues in 1990. During the year 3 endoscopists provided periodic colonoscopy mentorship.
Results: Among 1,371 EGDs, abnormalities were found in 59.7% and therapeutic interventions (most commonly esophageal stricture dilation or band ligation of varices) were performed in 137 (10%). When compared to 25 years previously, peptic ulcer disease was less common and esophagitis was more common (p < 0.0001; p < 0.0001). The prevalence of malignancy (2.2%) was similar. Among 380 colonoscopies diagnostic findings were seen in 60.5%, including colorectal malignancies in 5.8%. Cecal intubation rate improved from 32% to 89% during the one-year study period.
Conclusion: EGD and colonoscopy have a diagnostic yield of about 60% in symptomatic patients in North West Region, Cameroon. When compared to 1990 peptic ulcer disease was less common and esophagitis was more common. Periodic on-site mentorship was associated with improved physician performance of colonoscopy.
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http://dx.doi.org/10.11604/pamj.2018.29.178.10785 | DOI Listing |
Stroke
January 2025
Department of Neurology, GHU Paris Psychiatrie et Neurosciences, Inserm U1266, Université Paris Cité, France (J.-C.B.).
Background: A minority of patients with stroke qualify for intravenous thrombolysis (IVT) within 4.5-hour window. The safety and efficacy of IVT beyond this period have not been well studied.
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December 2024
West China School of Stomatology, Sichuan University, Chengdu, China.
Aim: This study aimed to evaluate the factor structure of the Oral Behaviors Checklist (OBC) in Chinese temporomandibular disorder (TMDs) patients and compare the outcomes with those of Western patients. Additionally, it examined the correlations between different OBC subscale scoring methods.
Methods: A total of 869 patients completed a survey that included demographic information, the Symptom Questionnaire, and OBC.
Nucl Med Mol Imaging
February 2025
Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Purpose: C-Methionine PET/CT is a promising method for detecting parathyroid lesions in patients with primary hyperparathyroidism (PHPT). We aimed to determine the diagnostic ability and correlation of digital C-Methionine PET/CT for parathyroid lesions in patients with PHPT, particularly in cases where standard imaging methods yielded inconclusive results.
Methods: This retrospective analysis was conducted on patients diagnosed with PHPT who underwent digital C-Methionine PET/CT imaging because of ambiguous results on standard imaging work-up (Tc-MIBI parathyroid scan and/or neck ultrasonography).
J Biomed Opt
February 2025
University of Wisconsin-Madison, Department of Medical Physics, Madison, Wisconsin, United States.
Significance: Protoporphyrin IX (PpIX) delayed fluorescence (DF) is inversely related to the oxygen present in tissues and has potential as a novel biomarker for surgical guidance and real-time tissue metabolism assessment. Despite the unique promise of this technique, its successful clinical translation is limited by the low intensity emitted.
Aim: We developed a systematic study of ways to increase the PpIX DF signal through acquisition sampling changes, allowing optimized imaging at video rates.
Comput Struct Biotechnol J
December 2024
Institute of Molecular and Genomic Medicine, National Health Research Institutes, Miaoli 350, Taiwan.
An AI-assisted algorithm has been developed to improve the detection of significant coronary artery disease (CAD) in high-risk individuals who have normal electrocardiograms (ECGs). This retrospective study analyzed ECGs from patients aged ≥ 18 years who were undergoing coronary angiography to obtain a clinical diagnosis at Chang Gung Memorial Hospital in Taiwan. Utilizing 12-lead ECG datasets, the algorithm integrated features like time intervals, amplitudes, and slope between peaks, a total of 561 features, with the XGBoost model yielding the best performance.
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