Referral guidelines for medical imaging in children: an ESR-EuroSafe Imaging survey on availability, awareness and use in clinical practice among European radiologists.

OBJECTIVES: Justification of medical exposures from medical imaging is fundamental to radiation protection. Referral guidelines are intended to help physicians decide when an imaging study is justified. For two decades, referral guidelines have been a legally binding requirement for European Union member states. Recently, the European Society of Radiology (ESR) developed iGuide tool, which provides evidence-based referral guidance for imaging inclusive of children. The aim of this survey was to assess the availability, use and familiarity of referral guidelines for medical imaging in children and knowledge about the availability of ESR iGuide among ESR member radiologists. METHODS: Over a 2-month period (15 September-15 November 2019), 33,257 ESR member radiologists were invited to respond to an anonymised web-based questionnaire, which consisted of 12 multiple-choice questions. RESULTS: In total, 2067/33,257 responses (6.3%) were received from 52 countries. A total of 1068 out of 2067 (51.7%) respondents were aware that imaging referral guidelines are a legal requirement. One thousand five (48.6%) of all respondents did not know whether dedicated guidelines for imaging in children were available, and only 653 (31.2%) were aware of the mainstays of the available guidelines. Similarly, just 746 (36.1%) of all respondents were aware of ESR iGuide availability and features. CONCLUSIONS: The information gathered confirms that effective and widespread adoption of imaging referral guidelines is lacking, especially in children. Further work is required to improve uptake and awareness. KEY POINTS: • Justification of medical exposures is fundamental to radiation protection and evidence-based referral guidelines are crucial for practical implementation of this principle. • About half of survey respondents are aware that the availability of imaging referral guidelines is a legal requirement, despite this being mandated since 1997. • The information gathered from this survey confirms that, especially in children, an effective and widespread adoption of imaging referral guidelines is lacking.

Regional gray matter volume differences and sex-hormone correlations as a function of menstrual cycle phase and hormonal contraceptives use.

During the menstrual cycle, hormone-driven functional and morphological changes occur in the female brain. The influence of hormonal contraceptives on these changes has received only little attention in the medical literature. The purpose of our study is to measure regional gray matter volume changes as a function of the cycle phase and use of hormonal contraceptives, in relation to blood concentrations of sex hormones. We performed a prospective study in 30 healthy young women; 15 women had a natural menstrual cycle and 15 were using monophasic combined hormonal contraceptives. MRI examinations were acquired at 2 specific time-points in the cycle (follicular and luteal phase). MRI studies included a T1-weighted, isotropic, high-resolution 3-D gradient echo acquisition, for the purpose of performing voxel based morphometry. Peripheral venous blood samples were obtained to determine concentrations of luteinizing hormone (LH), follicle stimulating hormone (FSH), estradiol, and progesterone. We found a highly significant negative correlation of regional gray matter volume in the anterior cingulate cortex with estradiol concentrations. To the best of our knowledge, this result has not been described before, and was only present in the natural cycle group, not in women using hormonal contraceptives. The anterior cingulate cortex is involved in emotion processing and there is literature describing behavioral alternations with changing hormone levels. Our findings provide a structural, morphological basis to support these data. Therefore, we advise neuroscientists to take into account the menstrual cycle phase and use of hormonal contraceptives, in order to avoid obtaining heterogeneous data sets, leading to a significant loss of accuracy and precision.