Background: Work related musculoskeletal disorders (MSDs) are one of the common occupational hazards among health care providers. Aim: The objective of this study was to evaluate MSDs in terms of perception of pain experienced by physicians, surgeons and dental surgeons during professional work. Subjects and Methods: The study was conducted with 100 physicians practicing either modern or alternative medicine, 100 surgeons of various specialties and 100 dental surgeons. Selfâreporting work related questionnaire on MSDs were distributed, including information on the location of MSD symptoms in the past 12 months and the pain experienced. Results: Musculoskeletal pain was most prevalent among dentists 61% (61/100), followed by surgeons 37% (37/100) and physicians 20% (20/100). Nearly 15% of physicians (3/20), 40% (15/37) of Surgeons and 60% (35/61) of Dentists had MSD problems in more than one site. Conclusion: Within the limitations of the study, there is a higher prevalence of MSDs experienced by dental surgeons than physicians and surgeons. More research is needed on musculoskeletal problems with dental surgeons and other specialty doctors with an emphasis on a larger sample sizes and correlating other factors such as age and sex of the doctor, duration of practice, working hours per week, physical activity and working environment

/pdf/prevalence-of-work-related-musculoskeletal-disorders-among-2t9pglws3p.pdf

Prevalence of work related musculoskeletal disorders among physicians, surgeons and dentists: a comparative study.

Fetal ventriculomegaly (VM) refers to the enlargement of the cerebral ventricles in utero. It is associated with the postnatal diagnosis of hydrocephalus. VM is clinically diagnosed on ultrasound and is defined as an atrial diameter greater than 10 mm. Because of the anatomic detailed seen with advanced imaging, VM is often further characterized by fetal magnetic resonance imaging (MRI). Fetal VM is a heterogeneous condition with various etiologies and a wide range of neurodevelopmental outcomes. These outcomes are heavily dependent on the presence or absence of associated anomalies and the direct cause of the ventriculomegaly rather than on the absolute degree of VM. In this review article, we discuss diagnosis, work-up, counseling, and management strategies as they relate to fetal VM. We then describe imaging-based research efforts aimed at using prenatal data to predict postnatal outcome. Finally, we review the early experience with fetal therapy such as in utero shunting, as well as the advances in prenatal diagnosis and fetal surgery that may begin to address the limitations of previous therapeutic efforts.

Fetal ventriculomegaly: Diagnosis, treatment, and future directions

Importance Which children with fetal ventriculomegaly, or enlargement of the cerebral ventricles in utero, will develop hydrocephalus requiring treatment after birth is unclear. Objective To determine whether extraction of multiple imaging features from fetal magnetic resonance imaging (MRI) and integration using machine learning techniques can predict which patients require postnatal cerebrospinal fluid (CSF) diversion after birth. Design, Setting, and Patients This retrospective case-control study used an institutional database of 253 patients with fetal ventriculomegaly from January 1, 2008, through December 31, 2014, to generate a predictive model. Data were analyzed from January 1, 2008, through December 31, 2015. All 25 patients who required postnatal CSF diversion were selected and matched by gestational age with 25 patients with fetal ventriculomegaly who did not require CSF diversion (discovery cohort). The model was applied to a sample of 24 consecutive patients with fetal ventriculomegaly who underwent evaluation at a separate institution (replication cohort) from January 1, 1998, through December 31, 2007. Data were analyzed from January 1, 1998, through December 31, 2009. Exposures To generate the model, linear measurements, area, volume, and morphologic features were extracted from the fetal MRI, and a machine learning algorithm analyzed multiple features simultaneously to find the combination that was most predictive of the need for postnatal CSF diversion. Main Outcomes and Measures Accuracy, sensitivity, and specificity of the model in correctly classifying patients requiring postnatal CSF diversion. Results A total of 74 patients (41 girls [55%] and 33 boys [45%]; mean [SD] gestational age, 27.0 [5.6] months) were included from both cohorts. In the discovery cohort, median time to CSF diversion was 6 days (interquartile range [IQR], 2-51 days), and patients with fetal ventriculomegaly who did not develop symptoms were followed up for a median of 29 months (IQR, 9-46 months). The model correctly classified patients who required CSF diversion with 82% accuracy, 80% sensitivity, and 84% specificity. In the replication cohort, the model achieved 91% accuracy, 75% sensitivity, and 95% specificity. Conclusion and Relevance Image analysis and machine learning can be applied to fetal MRI findings to predict the need for postnatal CSF diversion. The model provides prognostic information that may guide clinical management and select candidates for potential fetal surgical intervention.

/pdf/use-of-fetal-magnetic-resonance-image-analysis-and-machine-175xdz5g5m.pdf

Use of Fetal Magnetic Resonance Image Analysis and Machine Learning to Predict the Need for Postnatal Cerebrospinal Fluid Diversion in Fetal Ventriculomegaly.

Aqueductal stenosis (AS) is a form of noncommunicating hydrocephalus, which causes increased intracranial pressure secondary to obstruction of the aqueduct of Sylvius. Relief of intracranial pressure in the fetus by ventriculoamniotic shunting may diminish or even prevent permanent neurologic injury. Shunting was attempted in the 1980s but was abandoned due to technical difficulties. Given the advances in prenatal diagnosis and fetal intervention over the last 3 decades, we believe that an evidence-based reevaluation of the option is timely and appropriate. The aim of this review article is to discuss the clinical significance of the diagnosis of AS, current management strategies, current diagnostic capabilities, new shunt technology, and barriers to progress. Finally, we will advance a research agenda that will provide evidence-based management recommendations.

/pdf/fetal-therapy-for-isolated-aqueductal-stenosis-5b05jgrsw5.pdf

Fetal Therapy for Isolated Aqueductal Stenosis

Alterations in maternal-fetal cellular trafficking after fetal surgery

Congenital CNS abnormalities have been targets for prenatal intervention since the founding of fetal surgery 30 years ago, but with historically variable results. Open fetal neurosurgery for myelomenigocele has demonstrated the most promising results of any CNS malformation. Improvements in the understanding of congenital diseases and in fetal surgical techniques have reopened the door to applying fetal surgery to other congenital CNS abnormalities. Advances in gene therapy, bioengineering and neonatal neuroprotection will aid in the future expansion of fetal neurosurgery to other CNS disorders.

Fetal neurosurgery: current state of the art

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Fetal neurosurgery: current state of the art