Clinical audit of paediatric magnetic resonance imaging under sedation at a Nigerian tertiary institution

Background: Magnetic resonance imaging (MRI) in paediatric patients requires them to be calm during the procedure to avoid motion artefacts in the acquired images. Sedation and/or anaesthesia is a way to achieve this. We evaluated all paediatric MRI sedations since installation of an MRI device in our hospital. Material/Methods: We retrospectively reviewed 69 paediatric MRI sedations performed over a 5-year period using records of patients' biodata, MRI date, indication, findings and scan time, sources of referral, body region scanned, type, dose, related adverse events and route of administration of sedatives as well as image quality. Results: The median age and weight of the patients were 24 months {range of 0.3 months (10 days) to 132 months (11 years)} and 11.5 kg (range of 2.6 kg to 42 kg), respectively. Males constituted 50.7% of the patients. Most participants (94.2%) were in-patients of the hospital, mainly (60.0%) referred from the paediatric unit, with slightly over one third (36.2%) of the studies performed in 2015. The commonest indication and scanned body region were macrocephaly (18.8%) and the brain (76.8%), respectively. Hydrocephalus (17.4%) was the commonest MRI finding. Sedation was planned in 66 (95.7%) patients and was successful in 68 (98.6%). Midazolam and the IV route were the commonest sedative agent and route of administration, respectively. Image quality determined by age was fair to good in 68 (98.6%) patients with only 1 patient requiring re-scanning due to motion blur. No adverse events with sedation were recorded. Conclusions: Midazolam via the IV route with or without oral route is the drug of choice for MRI sedation in children in our institution with a success rate of about 99%

Author Correction: Federated learning enables big data for rare cancer boundary detection.

10.1038/s41467-023-36188-7NATURE COMMUNICATIONS14

Federated learning enables big data for rare cancer boundary detection.

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing

Biobanking in a Challenging African Environment: Unique Experience from the SIREN Project

Africa was previously insufficiently represented in the emerging discipline of biobanking despite commendable early efforts. However, with the Human, Heredity, and Health in Africa (H3Africa) initiative, biorepository science has been bolstered, regional biobanks are springing up, and awareness about biobanks is growing on the continent. The Stroke Investigative Research and Educational Network (SIREN) project is a transnational, multicenter, hospital and community-based study involving over 3000 cases and 3000 controls recruited from 16 sites in Ghana and Nigeria. SIREN aims to explore and unravel the genetic and environmental factors that interact to produce the peculiar phenotypic and clinical characteristics of stroke as seen in people of African ancestry and facilitate the development of new diagnostics, therapeutics, and preventative strategies. The aim of this article is to describe our experience with the development of the procedure for collection, processing, storage, and shipment of biological samples (blood, serum, plasma, buffy coat, red cell concentrates, and DNA) and brain imaging across coordinating and participating sites within the SIREN Project. The SIREN network was initiated in 2014 with support and funding from the H3Africa Initiative. The SIREN Biobank currently has 3015 brain images, 92,950 blood fractions (serum, plasma, red cell concentrates, and buffy coat) accrued from 8450 recruited subjects, and quantified and aliquoted good-quality DNA extracts from 6150 study subjects. This represents an invaluable resource for future research with expanding genomic and trans-omic technologies. This will facilitate the involvement of indigenous African samples in cutting-edge stroke genomics and trans-omics research. It is, however, critical to effectively engage African stroke patients and community members who have contributed precious biological materials to the SIREN Biobank to generate appropriate evidence base for dealing with ethical, legal, and social issues of privacy, autonomy, identifiability, biorights, governance issues, and public understanding of stroke biobanking in the context of unique African culture, language, and belief systems

Naringin prevents cyclophosphamide-induced hepatotoxicity in rats by attenuating oxidative stress, fibrosis, and inflammation.

Cyclophosphamide (CYCP), a synthetic alkylating antineoplastic, disrupts both cancerous and non-cancerous cells to cause cancer regression and multi organotoxicity respectively. CYCP-induced hepatotoxicity is rare but possible. Evidence has shown that naringin has several beneficial potentials against oxidative stress, inflammation, and fibrosis. This study examined the chemoprotective potentials of naringin on exited radical scavenging, hepatic integrity, oxidative stress, fibrosis, and inflammation in CYCP-mediated hepatotoxicity. Rats were pre-treated orally by gavage for fourteen consecutive days with three doses (50, 100, and 200 mg/kg) of naringin before single CYCP (200 mg/kg, i.p.) administration. Subsequently, the rats were euthanized; blood and liver were removed, and assessed for serum and hepatic enzymes, oxidative stress, inflammation, and gene expression dynamics. Naringin concentrations required for 50% scavenging hydroxyl radical and 2,2'-azinobis-(3-ethylbenzothiazoline-6-sulphonic acid) radical cation were 0.32 mg/mL and 0.39 mg/mL, respectively. Pretreatment with naringin significantly (p < 0.05) abolish CYCP-induced changes in the activities of serum and hepatic ALT, AST, GGT, ALP, and LDH. Pretreatment with naringin remarkably (p < 0.05) reversed CYCP-mediated increases in hepatic levels of malondialdehyde, hydroperoxide, and nitric oxide; reverse CYCP-induced decreases in the hepatic glutathione levels, activities of catalase, glutathione peroxidase, and glutathione reductase; and also attenuated CYCP-induced upregulation of expression of hepatic chemokine (C-C motif) ligand 2 (CCL2), interferon alpha1 (IFN-α1), interleukine-1β, interleukine-1 receptor, and transforming growth factor beta 1 (TGF-β1). Taken together, different doses of naringin can prevent CYCP-induced oxidants generation, hepatocytes dysfunctions, oxidative stress as well as inflammatory perturbations in rats when pre-administered for as few as 14 days

Pseudoaneurysm of the breast following blind palpation-guided core needle biopsy: a case report and literature review

Core needle biopsy is currently the most widely used basic diagnostic method for the diagnosis of breast masses; it is a minimally invasive procedure with excellent specificity and sensitivity and negligible complication rates, particularly when image-guided. However, complications tend to be higher when performed blindly. Hematoma remains the most common complication resulting from this procedure. Iatrogenic pseudoaneurysm is a rare complication with no previous report in Nigeria. In this report, we present a case of breast pseudoaneurysm occurring after 2 blind, palpation-guided core needle biopsies in a 51-year-old known hypertensive woman at a Nigerian tertiary hospital. Spontaneous thrombosis of the pseudoaneurysm occurred over three months after the second blind biopsy

Improving access to breast cancer screening and treatment in Nigeria: The triple mobile assessment and patient navigation model (NCT05321823): A study protocol.

BackgroundIn Nigeria, breast cancer incidence is rising, late presentation is common, and outcomes are poor. Patient-related factors such as lack of awareness and misperceptions in addition to health system deficiencies such as lack of a clearly defined framework for breast cancer screening and referral are some of the major drivers of this poor outlook. Guidelines for breast cancer screening in high-income countries have limited applicability in low-middle-income countries, hence the need for innovative, resource-compatible strategies to combat the negative trend. This manuscript presents our study protocol which aims to evaluate the impact of a novel breast cancer early detection program developed to address delayed presentation and lack of access to diagnostic and treatment facilities in South-West Nigeria. This entails the use of mobile technology (innovative handheld iBreast Exam [iBE] device, mobile breast ultrasound, and mobile mammography) and patient navigation as interventions at the community level.MethodsThe study (ClinicalTrials.gov identifier: NCT05321823) will adopt a randomized two group clinical trial design with one local government area (LGA) serving as an intervention arm and another serving as the control. Both LGAs will receive breast cancer awareness education but only one will receive the interventions. In the intervention arm, asymptomatic (40-70 years) and symptomatic (30-70 years) women will be invited for breast evaluation which will be performed by trained Community Health Nurses using Clinical Breast Exam (CBE), and iBE. Those with positive findings will proceed to imaging using mobile mammography and ultrasound brought to the LGA every month. Symptomatic women with negative findings on CBE and iBE will be scheduled for repeat clinical evaluation on a short-term basis (one month). The Radiologist will obtain core needle biopsies as indicated and transfer them for prompt pathological assessment. Women presenting to the Primary Healthcare Centers in the control LGA will be referred directly to Obafemi Awolowo University Teaching Hospitals Complex as per the current standard of care. Records of all breast cancer cases seen in the two LGAs during the study period will be obtained. The program metrics will include screening participation rate, cancer detection rate, stage at diagnosis, and timeline from detection to initiation of treatment. The stage at diagnosis and timeline from detection to treatment compared between the two LGAs will be used to assess the impact of the intervention. The study is proposed for 2 years; however, a descriptive analysis will be carried out at 1.5 years to evaluate the retention of the study participants.Study significanceIt is anticipated that this study will provide vital data to support wider breast cancer screening efforts in Nigeria