Health, illness and cancer in Mayotte: Multicultural experiences in a medically underserved French Territory.

The island of Mayotte is part of the French territory and one of the European Union's Outermost Regions but there is a significant lack of data and research on health and cancers in Mayotte. This article reviews the literature on health, disease and cancer in Mayotte, from the perspectives of social science and epidemiology. It starts by shedding light on the specificities of Mahoran demography and society, and shows the healthcare infrastructure is insufficient to meet the population's needs. It then reviews social science studies on health and illness in Mayotte and shows that the political issue of migration permeates the management and the experiences of health on the island. It ends with a focus on the epidemiology of cervical cancer and a review of the available data on screening, treatment and prevention. The article concludes with a quick review of ongoing research and urgently calls for more data and research on this critical public health issue.

The Use of a Software-Assisted Method to Estimate Fetal Weight at and Near Term Using Magnetic Resonance Imaging.

OBJECTIVE: The aim of this study was to apply a semi-automated calculation method of fetal body volume and, thus, of magnetic resonance-estimated fetal weight (MR-EFW) prior to planned delivery and to evaluate whether the technique of measurement could be simplified while remaining accurate. METHODS: MR-EFW was calculated using a semi-automated method at 38.6 weeks of gestation in 36 patients and compared to the picture archiving and communication system (PACS). Per patient, 8 sequences were acquired with a slice thickness of 4-8 mm and an intersection gap of 0, 4, 8, 12, 16, or 20 mm. The median absolute relative errors for MR-EFW and the time of planimetric measurements were calculated for all 8 sequences and for each method (assisted vs. PACS), and the difference between the methods was calculated. RESULTS: The median delivery weight was 3,280 g. The overall median relative error for all 288 MR-EFW calculations was 2.4% using the semi-automated method and 2.2% for the PACS method. Measurements did not differ between the 8 sequences using the assisted method (p = 0.313) or the PACS (p = 0.118), while the time of planimetric measurement decreased significantly with a larger gap (p < 0.001) and in the assisted method compared to the PACS method (p < 0.01). CONCLUSION: Our simplified MR-EFW measurement showed a dramatic decrease in time of planimetric measurement without a decrease in the accuracy of weight estimates.