Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 3 de 3
Filtrar
Más filtros










Base de datos
Intervalo de año de publicación
1.
ArXiv ; 2023 May 30.
Artículo en Inglés | MEDLINE | ID: mdl-37396608

RESUMEN

Gliomas are the most common type of primary brain tumors. Although gliomas are relatively rare, they are among the deadliest types of cancer, with a survival rate of less than 2 years after diagnosis. Gliomas are challenging to diagnose, hard to treat and inherently resistant to conventional therapy. Years of extensive research to improve diagnosis and treatment of gliomas have decreased mortality rates across the Global North, while chances of survival among individuals in low- and middle-income countries (LMICs) remain unchanged and are significantly worse in Sub-Saharan Africa (SSA) populations. Long-term survival with glioma is associated with the identification of appropriate pathological features on brain MRI and confirmation by histopathology. Since 2012, the Brain Tumor Segmentation (BraTS) Challenge have evaluated state-of-the-art machine learning methods to detect, characterize, and classify gliomas. However, it is unclear if the state-of-the-art methods can be widely implemented in SSA given the extensive use of lower-quality MRI technology, which produces poor image contrast and resolution and more importantly, the propensity for late presentation of disease at advanced stages as well as the unique characteristics of gliomas in SSA (i.e., suspected higher rates of gliomatosis cerebri). Thus, the BraTS-Africa Challenge provides a unique opportunity to include brain MRI glioma cases from SSA in global efforts through the BraTS Challenge to develop and evaluate computer-aided-diagnostic (CAD) methods for the detection and characterization of glioma in resource-limited settings, where the potential for CAD tools to transform healthcare are more likely.

2.
NMR Biomed ; 36(3): e4846, 2023 03.
Artículo en Inglés | MEDLINE | ID: mdl-36259628

RESUMEN

Magnetic resonance imaging (MRI) technology has profoundly transformed current healthcare systems globally, owing to advances in hardware and software research innovations. Despite these advances, MRI remains largely inaccessible to clinicians, patients, and researchers in low-resource areas, such as Africa. The rapidly growing burden of noncommunicable diseases in Africa underscores the importance of improving access to MRI equipment as well as training and research opportunities on the continent. The Consortium for Advancement of MRI Education and Research in Africa (CAMERA) is a network of African biomedical imaging experts and global partners, implementing novel strategies to advance MRI access and research in Africa. Upon its inception in 2019, CAMERA sets out to identify challenges to MRI usage and provide a framework for addressing MRI needs in the region. To this end, CAMERA conducted a needs assessment survey (NAS) and a series of symposia at international MRI society meetings over a 2-year period. The 68-question NAS was distributed to MRI users in Africa and was completed by 157 clinicians and scientists from across Sub-Saharan Africa (SSA). On average, the number of MRI scanners per million people remained at less than one, of which 39% were obsolete low-field systems but still in use to meet daily clinical needs. The feasibility of coupling stable energy supplies from various sources has contributed to the growing number of higher-field (1.5 T) MRI scanners in the region. However, these systems are underutilized, with only 8% of facilities reporting clinical scans of 15 or more patients per day, per scanner. The most frequently reported MRI scans were neurological and musculoskeletal. The CAMERA NAS combined with the World Health Organization and International Atomic Energy Agency data provides the most up-to-date data on MRI density in Africa and offers a unique insight into Africa's MRI needs. Reported gaps in training, maintenance, and research capacity indicate ongoing challenges in providing sustainable high-value MRI access in SSA. Findings from the NAS and focused discussions at international MRI society meetings provided the basis for the framework presented here for advancing MRI capacity in SSA. While these findings pertain to SSA, the framework provides a model for advancing imaging needs in other low-resource settings.


Asunto(s)
Imagen por Resonancia Magnética , Humanos , África del Sur del Sahara , Encuestas y Cuestionarios
3.
Afr Health Sci ; 19(2): 1866-1874, 2019 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-31656469

RESUMEN

BACKGROUND: Prior studies on Hysterosalpingography (HSG) have shown that pelvic inflammatory disease (PID) related tubal adhesions accounted for 30 - 50% of female infertility, with as high as 80% reported in some studies. With improved access to contraceptives, antibiotics and promotion of safe practices, the abnormal findings in HSG may have reduced or altered. OBJECTIVE: To document the imaging findings in the HSG of participants and to compare current findings with prior studies done nationally and internationally. METHOD: A retrospective evaluation of 974 HSGs done at the tertiary diagnostic center over a 7-year period was conducted and analyzed using diagnostic accuracy tables. RESULTS: Tubal pathologies were the most common abnormality in this study, (35.1% of the cases), comprising tubal blockage and hydrosalpinges; followed by uterine masses seen in 223 (22.9%) of the clients. Tubal occlusion was higher in clients with multiple abnormal findings; while normal sized and large uterine cavities had a higher percentage of bilateral tubal patency. CONCLUSION: Tubal factors remain the most common abnormality seen in the HSGs of infertile women in this study, though with lower prevalence compared with prior older studies. Forty seven (47%) of the cases of female factor infertility had normal HSGs with bilateral tubal patency.


Asunto(s)
Enfermedades de las Trompas Uterinas/diagnóstico por imagen , Trompas Uterinas/diagnóstico por imagen , Histerosalpingografía/métodos , Infertilidad Femenina/diagnóstico por imagen , Útero/diagnóstico por imagen , Adolescente , Adulto , Distribución por Edad , Enfermedades de las Trompas Uterinas/complicaciones , Enfermedades de las Trompas Uterinas/epidemiología , Femenino , Humanos , Infertilidad Femenina/epidemiología , Infertilidad Femenina/etiología , Estudios Retrospectivos , Factores Socioeconómicos , Adulto Joven
SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA
...