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Ethiopia hygiene practice during complementary feeding and associated factors; systematic review and meta-analysis.

BMC Pediatr

January 2025

Health Promotion and Health Behavior Department, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Background: Complementary feeding is crucial for infant growth, but poor hygiene during this period increases the risk of malnutrition and illness. In Ethiopia, national data on hygiene practices during complementary feeding, particularly among mothers of children aged 6-24 months, is limited. This study aims to synthesize existing data through a systematic review and meta-analysis to evaluate the status of hygiene practices and identify key influencing factors, informing public health strategies to improve child health outcomes.

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The natural stages of chronic hepatitis B can be divided into four stages according to changes in virology, biochemistry, and pathology. However, there have been significant differences in the recommended stage criteria in the several major guidelines for chronic hepatitis B, especially regarding the immune tolerance phase. Inconsistent standards of indicators for different stages resulted in some problems, such as incorrect stage, uncertain stages and poor comparation of related studies.

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To investigate the potential of an MRI-based radiomic model in distinguishing malignant prostate cancer (PCa) nodules from benign prostatic hyperplasia (BPH)-, as well as determining the incremental value of radiomic features to clinical variables, such as prostate-specific antigen (PSA) level and Prostate Imaging Reporting and Data System (PI-RADS) score. A restrospective analysis was performed on a total of 251 patients (training cohort, n = 119; internal validation cohort, n = 52; and external validation cohort, n = 80) with prostatic nodules who underwent biparametric MRI at two hospitals between January 2018 and December 2020. A total of 1130 radiomic features were extracted from each MRI sequence, including shape-based features, gray-level histogram-based features, texture features, and wavelet features.

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An Automatic Deep-Radiomics Framework for Prostate Cancer Diagnosis and Stratification in Patients with Serum Prostate-Specific Antigen of 4.0-10.0 ng/mL: A Multicenter Retrospective Study.

Acad Radiol

January 2025

Department of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China (B.Z., F.M., X.S., S.L., Q.W.); Department of Urology, Guangdong Provincial People's Hospital, Southern Medical University, Guangzhou, Guangdong 510080, China (Q.W.). Electronic address:

Rationale And Objectives: To develop an automatic deep-radiomics framework that diagnoses and stratifies prostate cancer in patients with prostate-specific antigen (PSA) levels between 4 and 10 ng/mL.

Materials And Methods: A total of 1124 patients with histological results and PSA levels between 4 and 10 ng/mL were enrolled from one public dataset and two local institutions. An nnUNet was trained for prostate masks, and a feature extraction module identified suspicious lesion masks.

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Aim: to assess the relation of focal and diffuse left ventricular (LV) fibrosis to left bundle branch block (LBBB).

Materials And Methods: 60 patients with dilated cardiomyopathy and LBBB (DCM-LBBB), 50 DCM-nonLBBB patients, 15 patients with LBBB and structurally normal heart (idiopathic LBBB) and 10 healthy volunteers (HV) underwent cardiovascular magnetic resonance (CMR) with late gadolinium enhancement (LGE). LGE LV images were post-proceed for core scar (CS) and gray zone (GZ) calculation.

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