Quantitative insights in tissue growth and morphogenesis with optogenetics.

Cells communicate with each other to jointly regulate cellular processes during cellular differentiation and tissue morphogenesis. This multiscale coordination arises through the spatiotemporal activity of morphogens to pattern cell signaling and transcriptional factor activity. This coded information controls cell mechanics, proliferation, and differentiation to shape the growth and morphogenesis of organs. While many of the molecular components and physical interactions have been identified in key model developmental systems, there are still many unresolved questions related to the dynamics involved due to challenges in precisely perturbing and quantitatively measuring signaling dynamics. Recently, a broad range of synthetic optogenetic tools have been developed and employed to quantitatively define relationships between signal transduction and downstream cellular responses. These optogenetic tools can control intracellular activities at the single cell or whole tissue scale to direct subsequent biological processes. In this brief review, we highlight a selected set of studies that develop and implement optogenetic tools to unravel quantitative biophysical mechanisms for tissue growth and morphogenesis across a broad range of biological systems through the manipulation of morphogens, signal transduction cascades, and cell mechanics. More generally, we discuss how optogenetic tools have emerged as a powerful platform for probing and controlling multicellular development.

Neonatal outcomes of foetal micrognathia: An 11-year review.

AIM: To identify antenatal features associated with foetal micrognathia that can predict a challenging postnatal management, including difficult airway at delivery, feeding problems and impaired neurological outcomes. METHODS: Single-centre retrospective observational study. Data for antenatally diagnosed cases of micrognathia over 11 years were obtained and analysed. RESULTS: A total of 38 cases were identified, 20 were live births. Of the 16 inborn infants, all had associated congenital anomalies: 14 were diagnosed antenatally, two postnatally. Six of the 16 infants had difficult intubation at birth and three required a tracheostomy. Three died in the neonatal period. The risk of requiring respiratory support at discharge or death was increased if any anomaly was diagnosed antenatally (p = 0.05). There were no differences in respiratory or gastrointestinal morbidities for infants where polyhydramnios was detected antenatally. Of the 13 survivors, two were orally fed, five required a gastrostomy and six were fed by nasogastric/nasojejunal tube. Ten infants were followed up after discharge and seven had normal neurological outcomes. CONCLUSION: There remains no predictive tool available antenatally to anticipate neonatal outcomes. Our associated mortality rate was 64%. Foetal micrognathia rarely occurs in isolation and each case should be referred to a specialist centre for optimal counselling and careful planning.

Understanding and shaping the future of work with self-determination theory.

Self-determination theory has shaped our understanding of what optimizes worker motivation by providing insights into how work context influences basic psychological needs for competence, autonomy and relatedness. As technological innovations change the nature of work, self-determination theory can provide insight into how the resulting uncertainty and interdependence might influence worker motivation, performance and well-being. In this Review, we summarize what self-determination theory has brought to the domain of work and how it is helping researchers and practitioners to shape the future of work. We consider how the experiences of job candidates are influenced by the new technologies used to assess and select them, and how self-determination theory can help to improve candidate attitudes and performance during selection assessments. We also discuss how technology transforms the design of work and its impact on worker motivation. We then describe three cases where technology is affecting work design and examine how this might influence needs satisfaction and motivation: remote work, virtual teamwork and algorithmic management. An understanding of how future work is likely to influence the satisfaction of the psychological needs of workers and how future work can be designed to satisfy such needs is of the utmost importance to worker performance and well-being.

MRI-Derived Fetal Weight Estimation in the Midpregnancy Fetus: A Method Comparison Study.

OBJECTIVES: The aim of this study was to compare the standard ultrasound (US) estimated fetal weight (EFW) and MRI volume-derived methods for the midtrimester fetus. METHODS: Twenty-five paired US and MRI scans had the EFW calculated (gestational age [GA] range = 20-26 weeks). The intra- and interobserver variability of each method was assessed (2 operators/modality). A small sub-analysis was performed on 5 fetuses who were delivered preterm (mean GA 29 +3 weeks) and compared to the actual birthweight. RESULTS: Two MRI volumetry EFW formulae under-measured compared to US by -10.9% and -14.5% in the midpregnancy fetus (p < 0.001) but had excellent intra- and interobserver agreement (intraclass correlation coefficient = 0.998 and 0.993). In the preterm fetus, the mean relative difference (MRD) between the MRI volume-derived EFW (MRI-EFW) and actual expected birthweight (at the scan GA) was -13.7% (-159.0 g, 95% CI: -341.7 to 23.7 g) and -17.1% (-204.6 g, 95% CI: -380.4 to -28.8 g), for the 2 MRI formulae. The MRD was smaller for US at 5.3% (69.8 g, 95% CI: -34.3 to 173.9). CONCLUSIONS: MRI-EFW results should be interpreted with caution in midpregnancy. Despite excellent observer agreement with MRI volumetry, refinement of the EFW formula is needed in the second trimester, for the small and for the GA and preterm fetus to compensate for lower fetal densities.

Maternal and fetal incidental findings on antenatal magnetic resonance imaging.

BACKGROUND: Magnetic resonance imaging (MRI) examinations are increasingly used in antenatal clinical practice. Incidental findings are a recognized association with imaging and although in some circumstances their identification can alter management, they are often associated with increased anxiety, for both patient and clinician, as well as increased health care costs. OBJECTIVE: This study aimed to evaluate the incidence of unexpected findings in both the mother and fetus during antenatal MRI examinations. MATERIALS AND METHODS: A retrospective study was undertaken over a five-year period at St.. Thomas' Hospital in London. Maternal incidental findings were recorded from all clinical reports of all fetal MRIs performed (for clinical reasons and in healthy volunteers) during this period. Fetal incidental findings were recorded only in cases where women with uncomplicated pregnancies were participating as healthy volunteers. RESULTS: A total of 2,569 MRIs were included; 17% of women had maternal incidental findings. Of these, 1,099 were women with uncomplicated pregnancies who undertook research MRIs as healthy volunteers; fetal incidental findings were identified in 12.3%. CONCLUSION: Incidental findings are a common occurrence in antenatal MRI. Consideration should be given to counseling women appropriately before imaging and ensuring that robust local protocols are in place for follow-up and further management of such cases.

Antenatal thymus volumes in fetuses that delivered <32 weeks' gestation: An MRI pilot study.

INTRODUCTION: Infection and inflammation have been implicated in the etiology and subsequent morbidity associated with preterm birth. At present, there are no tests to assess for fetal compartment infection. The thymus, a gland integral in the fetal immune system, has been shown to involute in animal models of antenatal infection, but its response in human fetuses has not been studied. This study aims: (a) to generate magnetic resonance imaging (MRI) -derived fetal thymus volumes standardized for fetal weight; (b) to compare standardized thymus volumes from fetuses that delivered before 32 weeks of gestation with fetuses that subsequently deliver at term; (c) to assess thymus size as a predictor of preterm birth; and (d) to correlate the presence of chorioamnionitis and funisitis at delivery with thymic volumes in utero in fetuses that subsequently deliver preterm. MATERIAL AND METHODS: Women at high-risk of preterm birth at 20-32 weeks of gestation were recruited. A control group was obtained from existing data sets acquired as part of three research studies. A fetal MRI was performed on a 1.5T or 3T MRI scanner: T2 weighted images were obtained of the entire uterine content and specifically the fetal thorax. A slice-to-volume registration method was used for reconstruction of three-dimensional images of the thorax. Thymus segmentations were performed manually. Body volumes were calculated by manual segmentation and thymus:body volume ratios were generated. Comparison of groups was performed using multiple regression analysis. Normal ranges were created for thymus volume and thymus:body volume ratios using the control data. Receiver operating curves (ROC) curves were generated for thymus:body volume ratio and gestation-adjusted thymus volume centiles as predictors of preterm birth. Placental histology was analyzed where available from pregnancies that delivered very preterm and the presence of chorioamnionitis/funisitis was noted. RESULTS: Normative ranges were created for thymus volume, and thymus volume was standardized for fetal size from fetuses that subsequently delivered at term, but were imaged at 20-32 weeks of gestation. Image data sets from 16 women that delivered <32 weeks of gestation (ten with ruptured membranes and six with intact membranes) and 80 control women that delivered >37 weeks were included. Mean gestation at MRI of the study group was 28+4  weeks (SD 3.2) and for the control group was 25+5  weeks (SD 2.4). Both absolute fetal thymus volumes and thymus:body volume ratios were smaller in fetuses that delivered preterm (P < .001). Of the 16 fetuses that delivered preterm, 13 had placental histology, 11 had chorioamnionitis, and 9 had funisitis. The strongest predictors of prematurity were the thymus volume Z-score and thymus:body volume ratio Z-score (ROC areas 0.915 and 0.870, respectively). CONCLUSIONS: We have produced MRI-derived normal ranges for fetal thymus and thymus:body volume ratios between 20 and 32 weeks of gestation. Fetuses that deliver very preterm had reduced thymus volumes when standardized for fetal size. A reduced thymus volume was also a predictor of spontaneous preterm delivery. Thymus volume may be a suitable marker of the fetal inflammatory response, although further work is needed to assess this, increasing the sample size to correlate the extent of chorioamnionitis with thymus size.

Detection of additional abnormalities or co-morbidities in women with suspected intrahepatic cholestasis of pregnancy.

BACKGROUND: Current guidelines recommend viral, autoimmune, coagulation and liver ultrasound testing in intrahepatic cholestasis of pregnancy to exclude alternative diagnoses. METHODS: Electronic health records were searched for investigations and diagnoses in women with raised bile acid concentrations (>10 µmol/L) between January 2016 and December 2017 at two UK maternity units. RESULTS: Five hundred and thirty-one women had a raised bile acid concentration (median (IQR): 18 (13-32 µmol/L)) at a median gestation of 35.1 (IQR 31.8-37.0) weeks. Out of 531 women, 250 (47.1%) had full virology, autoimmune and ultrasound tests, and 348 (65.5%) had coagulation performed. Positive hepatitis B and C results were previously known. No new Epstein-Barr virus, cytomegalovirus or hepatitis A diagnoses were made. There were 11 positive autoimmune results, but no new diagnoses. No woman had an unexplained prolonged prothrombin time. No ultrasound liver (n = 38) or gallbladder (n = 85) abnormalities were of acute clinical significance. CONCLUSION: Intrahepatic cholestasis of pregnancy investigations provided no new diagnoses that influenced clinical management during pregnancy.

Optimizing measurement for neurobehavioural rehabilitation services: A multisite comparison study and response to UKROC.

To evaluate the efficacy of neurobehavioural rehabilitation (NbR) programmes, services should employ valid, reliable assessment tools; the ability to detect change on repeated assessment is a particular requirement. The United Kingdom Rehabilitation Outcomes Collaborative (UKROC) requires neurorehabilitation services to collect data using a standardized basket of measures, but the responsiveness and usefulness of using these in the context of NbR remains unknown. Anonymous data collected at two assessments for 123 people were examined using multiple methods to determine responsiveness of four outcome measures routinely used in NbR (HoNOS-ABI, FIM + FAM UK, MPAI-4, SASNOS). Predictive validity of two measures of rehabilitation complexity (RCS-E, SRS) regarding the extent of difference scores on these outcome measures at reassessment was also determined. All four outcome measures demonstrated responsiveness, with higher levels for SASNOS and MPAI-4 when only participants categorized as "most likely to change" at first assessment were analyzed. Predictive validity of the RCS-E and SRS in estimating the extent of change was variable. SRS was only predictive of improvement on the MPAI-4 whilst RCS-E was not predictive at all. Recommendations are made regarding ideal characteristics of NbR outcome measures, along with the need to develop measures of rehabilitation complexity specifically conceptualized for these programmes.

The Mediterranean Diet in the Stroke Belt: A Cross-Sectional Study on Adherence and Perceived Knowledge, Barriers, and Benefits.

The Mediterranean diet (MedDiet) is recommended by the current Dietary Guidelines for Americans, yet little is known about the perceived barriers and benefits to the diet in the U.S., particularly in the Stroke Belt (SB). Thus, the purpose of this study was to examine MedDiet adherence and perceived knowledge, benefits, and barriers to the MedDiet in the U.S. A cross-sectional study was conducted on 1447 participants in the U.S., and responses were sorted into geographic groups: the SB, California (CA), and all other US states (OtherUS). Linear models and multivariable linear regression analysis was used for data analysis. Convenience, sensory factors, and health were greater barriers to the MedDiet in the SB group, but not the OtherUS group (p < 0.05). Weight loss was considered a benefit of the MedDiet in the SB (p < 0.05), while price and familiarity were found to be less of a benefit (p < 0.05). Respondents with a bachelor's degree or greater education had greater total MEDAS scores (p < 0.05) and obese participants had a lower MedDiet adherence score (p < 0.05). Our results identify key barriers and benefits of the MedDiet in the SB which can inform targeted MedDiet intervention studies.

Huntington's disease: a forensic risk factor in women.

BACKGROUND: Huntington's disease (HD) is an autosomal dominant, neurodegenerative disorder. Associated cognitive deficits including impulsivity and disinhibition are the same factors that also predispose to forensic risk. Men tend to be perpetrators of more severe violent behaviours than women and women are less likely than men to be arrested for violence. This finding is not applicable in the case of women with Huntington's disease and explored in the three clinical cases of women with HD and their forensic histories that are subsequently described. CASE PRESENTATION: 'A' was admitted from court following a charge of arson and reckless behavior, with increasing severity and frequency of self-harm and attempted suicide. This case demonstrates someone who had previously presented to psychiatric services on multiple occasions for various reasons, culminating in a serious criminal charge of arson due to psychiatric symptoms associated with HD.'B' was arrested and imprisoned after having been charged with actual bodily harm (ABH) for assaulting her partner and young daughter then breaking her bail conditions. Although she was gene positive for HD she had no neurological symptoms of the disease. B was given leave but needed to be recalled to hospital by police. Six weeks later the medical recommendation for a court imposed hospital order was overturned as B presented and articulated her case so convincingly in court. This case demonstrates that even in the absence of psychiatric history or movement disorder there may be substantial forensic risk indicated by subtle underlying cognitive deficits due to changes in executive function affecting the frontal lobes.'C' was admitted to acute psychiatric services after being found wandering in traffic wanting to die. She had been diagnosed with HD in the previous year and had a long criminal record on a background of alcohol dependency. Following transfer to a specialist psychiatric unit, she engaged well with a neurobehavioural levels system which rewards desirable and appropriate behaviours and she responded well to a highly structured environment resulting in discharge to a community placement. CONCLUSIONS: These three case studies aim to highlight the need to raise awareness of the increased forensic risk in women with HD. Although criminal behaviour is less frequently observed in women than men and usually violence is less severe in women, HD may cause or contribute to criminal behaviour that can be violent in nature in women who are gene carriers for HD even in the absence of movement disorder, psychiatric symptoms or overt cognitive deficits. Assessment and earlier treatment in appropriate hospital settings may successfully contain and modify behaviours leading to reduced levels of risk and recidivism in this vulnerable patient group.

A comparison of ultrasound with magnetic resonance imaging in the assessment of fetal biometry and weight in the second trimester of pregnancy: An observer agreement and variability study.

OBJECTIVE: To compare the intra and interobserver variability of ultrasound and magnetic resonance imaging in the assessment of common fetal biometry and estimated fetal weight in the second trimester. METHODS: Retrospective measurements on preselected image planes were performed independently by two pairs of observers for contemporaneous ultrasound and magnetic resonance imaging studies of the same fetus. Four common fetal measurements (biparietal diameter, head circumference, abdominal circumference and femur length) and an estimated fetal weight were analysed for 44 'low risk' cases. Comparisons included, intra-class correlation coefficients, systematic error in the mean differences and the random error. RESULTS: The ultrasound inter- and intraobserver agreements for ultrasound were good, except intraobserver abdominal circumference (intra-class correlation coefficient = 0.880, poor), significant increases in error was seen with larger abdominal circumference sizes. Magnetic resonance imaging produced good/excellent intraobserver agreement with higher intra-class correlation coefficients than ultrasound. Good interobserver agreement was found for both modalities except for the biparietal diameter (magnetic resonance imaging intra-class correlation coefficient = 0.942, moderate). Systematic errors between modalities were seen for the biparietal diameter, femur length and estimated fetal weight (mean percentage error = +2.5%, -5.4% and -8.7%, respectively, p < 0.05). Random error was above 5% for ultrasound intraobserver abdominal circumference, femur length and estimated fetal weight and magnetic resonance imaging interobserver biparietal diameter, abdominal circumference, femur length and estimated fetal weight (magnetic resonance imaging estimated fetal weight error >10%). CONCLUSION: Ultrasound remains the modality of choice when estimating fetal weight, however with increasing application of fetal magnetic resonance imaging a method of assessing fetal weight is desirable. Both methods are subject to random error and operator dependence. Assessment of calliper placement variations may be an objective method detecting larger than expected errors in fetal measurements.

Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks.

Measurement of head biometrics from fetal ultrasonography images is of key importance in monitoring the healthy development of fetuses. However, the accurate measurement of relevant anatomical structures is subject to large inter-observer variability in the clinic. To address this issue, an automated method utilizing Fully Convolutional Networks (FCN) is proposed to determine measurements of fetal head circumference (HC) and biparietal diameter (BPD). An FCN was trained on approximately 2000 2D ultrasound images of the head with annotations provided by 45 different sonographers during routine screening examinations to perform semantic segmentation of the head. An ellipse is fitted to the resulting segmentation contours to mimic the annotation typically produced by a sonographer. The model's performance was compared with inter-observer variability, where two experts manually annotated 100 test images. Mean absolute model-expert error was slightly better than inter-observer error for HC (1.99mm vs 2.16mm), and comparable for BPD (0.61mm vs 0.59mm), as well as Dice coefficient (0.980 vs 0.980). Our results demonstrate that the model performs at a level similar to a human expert, and learns to produce accurate predictions from a large dataset annotated by many sonographers. Additionally, measurements are generated in near real-time at 15fps on a GPU, which could speed up clinical workflow for both skilled and trainee sonographers.

Fetal Skull Reconstruction via Deep Convolutional Autoencoders.

Ultrasound (US) imaging is arguably the most commonly used modality for fetal screening. Recently, 3DUS has been progressively adopted in modern obstetric practice, showing promising diagnosis capabilities, and alleviating many of the inherent limitations of traditional 2DUS, such as subjectivity and operator dependence. However, the involuntary movements of the fetus, and the difficulty for the operator to inspect the entire volume in real-time can hinder the acquisition of the entire region of interest. In this paper, we present two deep convolutional architectures for the reconstruction of the fetal skull in partially occluded 3DUS volumes: a TL deep convolutional network (TL-Net), and a conditional variational autoencoder (CVAE). The performance of the two networks was evaluated for occlusion rates up to 50%, both showing accurate results even when only 60% of the skull is included in the US volume (Dice coeff. $0.84\pm 0.04$ for CVAE and $0.83\pm 0.03$ for TL-Net). The reconstruction networks proposed here have the potential to optimize image acquisition protocols in obstetric sonography, reducing the acquisition time and providing comprehensive anatomical information even from partially occluded images.

Fast Multiple Landmark Localisation Using a Patch-based Iterative Network.

We propose a new Patch-based Iterative Network (PIN) for fast and accurate landmark localisation in 3D medical volumes. PIN utilises a Convolutional Neural Network (CNN) to learn the spatial relationship between an image patch and anatomical landmark positions. During inference, patches are repeatedly passed to the CNN until the estimated landmark position converges to the true landmark location. PIN is computationally efficient since the inference stage only selectively samples a small number of patches in an iterative fashion rather than a dense sampling at every location in the volume. Our approach adopts a multitask learning framework that combines regression and classification to improve localisation accuracy. We extend PIN to localise multiple landmarks by using principal component analysis, which models the global anatomical relationships between landmarks. We have evaluated PIN using 72 3D ultrasound images from fetal screening examinations. PIN achieves quantitatively an average landmark localisation error of 5.59mm and a runtime of 0.44s to predict 10 landmarks per volume. Qualitatively, anatomical 2D standard scan planes derived from the predicted landmark locations are visually similar to the clinical ground truth.

Building work engagement: A systematic review and meta-analysis investigating the effectiveness of work engagement interventions.

Low work engagement may contribute towards decreased well-being and work performance. Evaluating, boosting and sustaining work engagement are therefore of interest to many organisations. However, the evidence on which to base interventions has not yet been synthesised. A systematic review with meta-analysis was conducted to assess the evidence for the effectiveness of work engagement interventions. A systematic literature search identified controlled workplace interventions employing a validated measure of work engagement. Most used the Utrecht Work Engagement Scale (UWES). Studies containing the relevant quantitative data underwent random-effects meta-analyses. Results were assessed for homogeneity, systematic sampling error, publication bias and quality. Twenty studies met the inclusion criteria and were categorised into four types of interventions: (i) personal resource building; (ii) job resource building; (iii) leadership training; and (iv) health promotion. The overall effect on work engagement was small, but positive, k = 14, Hedges g = 0.29, 95%-CI = 0.12-0.46. Moderator analyses revealed a significant result for intervention style, with a medium to large effect for group interventions. Heterogeneity between the studies was high, and the success of implementation varied. More studies are needed, and researchers are encouraged to collaborate closely with organisations to design interventions appropriate to individual contexts and settings, and include evaluations of intervention implementation. © 2016 The Authors. Journal of Organizational Behavior published by John Wiley & Sons, Ltd.

Measuring Change in Symptoms of Neurobehavioural Disability: Responsiveness of the St Andrew's-Swansea Neurobehavioural Outcome Scale.

OBJECTIVE: Neurobehavioural disability (NBD) after acquired brain injury (ABI) is often associated with poor outcome. The "St Andrew's-Swansea Neurobehavioural Outcome Scale" (SASNOS) was developed to measure NBD in a range of applications. Two of the "holy trinity" of psychometric properties, reliability and validity, have been comprehensively mapped, but the extent to which SASNOS meets the third, responsiveness, has not been investigated. Demonstrating responsiveness is essential in instruments employed in repeated measurement scenarios to confirm their ability to discriminate real change from error. However, there is no single agreed method for determining responsiveness. For some instruments, this property remains unexplored. A difference in scores attaining statistical significance for aggregate data is frequently cited as support for this construct, but this approach remains heavily criticized. This study explores responsiveness of SASNOS. METHOD: Consecutive SASNOS assessments completed over varying times for 145 individuals participating in neurobehavioural rehabilitation, drawn from multiple services, were compiled into a retrospective sample of convenience. Multiple methods were employed to confirm internal responsiveness, including those identifying statistically significant change, minimally detectable change and minimally important change. RESULTS: All methods confirmed responsiveness as a psychometric property of SASNOS; the extent depended on method used and NBD domain investigated. A number of indicators are presented, which equip clinicians and researchers with options to interpret results from repeated assessments, including the individual level in the context of rehabilitation. CONCLUSIONS: SASNOS reliably measures change over time in NBD symptoms, further confirming its suitability as an instrument for investigating multidimensional outcomes of ABI.

Management of systemic lupus erythematosus during pregnancy: challenges and solutions.

Systemic lupus erythematosus (SLE) is a chronic, multisystem autoimmune disease predominantly affecting women, particularly those of childbearing age. SLE provides challenges in the prepregnancy, antenatal, intrapartum, and postpartum periods for these women, and for the medical, obstetric, and midwifery teams who provide their care. As with many medical conditions in pregnancy, the best maternal and fetal-neonatal outcomes are obtained with a planned pregnancy and a cohesive multidisciplinary approach. Effective prepregnancy risk assessment and counseling includes exploration of factors for poor pregnancy outcome, discussion of risks, and appropriate planning for pregnancy, with consideration of discussion of relative contraindications to pregnancy. In pregnancy, early referral for hospital-coordinated care, involvement of obstetricians and rheumatologists (and other specialists as required), an individual management plan, regular reviews, and early recognition of flares and complications are all important. Women are at risk of lupus flares, worsening renal impairment, onset of or worsening hypertension, preeclampsia, and/or venous thromboembolism, and miscarriage, intrauterine growth restriction, preterm delivery, and/or neonatal lupus syndrome (congenital heart block or neonatal lupus erythematosus). A cesarean section may be required in certain obstetric contexts (such as urgent preterm delivery for maternal and/or fetal well-being), but vaginal birth should be the aim for the majority of women. Postnatally, an ongoing individual management plan remains important, with neonatal management where necessary and rheumatology followup. This article explores the challenges at each stage of pregnancy, discusses the effect of SLE on pregnancy and vice versa, and reviews antirheumatic medications with the latest guidance about their use and safety in pregnancy. Such information is required to effectively and safely manage each stage of pregnancy in women with SLE.

Predictive validity of the HCR-20 for violent and non-violent sexual behaviour in a secure mental health service.

BACKGROUND: Violent and non-violent sexual behaviour is a fairly common problem among secure mental health service patients, but specialist sexual violence risk assessment is time-consuming and so performed infrequently. AIMS: We aimed to establish whether a commonly used violence risk assessment tool, the Health Clinical Risk management 20(HCR-20), has predictive validity specifically for inappropriate sexual behaviour. METHODS: A pseudo-prospective cohort design was used for a study in the adult wards of a large provider of specialist secure mental health services. Routine clinical team HCR-20 assessments were extracted from records, and incidents involving inappropriate sexual behaviour were recorded for the 3 months following assessment. RESULTS: Of 613 patients, 104 (17%) had engaged in at least one inappropriate sexual behaviour; in 65 (10.6%), the sexual act was violent. HCR-20 total score, clinical and risk management subscales, predicted violent and non-violent sexual behaviour. The negative predictive value of the HCR-20 for inappropriate sexual behaviour was over 90%. CONCLUSIONS: Prediction of violent sexual behaviour may be regarded as well within the scope of the HCR-20 as a structured professional judgement tool to aid violence risk prediction, but we found that it also predicts behaviours that may be of concern but fall below the violence threshold. High negative predictive values suggest that HCR-20 scores may have some utility for screening out patients who do not require more specialist assessment for inappropriate sexual behaviour. Copyright © 2015 John Wiley & Sons, Ltd.

Feature-based fuzzy connectedness segmentation of ultrasound images with an object completion step.

Medical ultrasound (US) image segmentation and quantification can be challenging due to signal dropouts, missing boundaries, and presence of speckle, which gives images of similar objects quite different appearance. Typically, purely intensity-based methods do not lead to a good segmentation of the structures of interest. Prior work has shown that local phase and feature asymmetry, derived from the monogenic signal, extract structural information from US images. This paper proposes a new US segmentation approach based on the fuzzy connectedness framework. The approach uses local phase and feature asymmetry to define a novel affinity function, which drives the segmentation algorithm, incorporates a shape-based object completion step, and regularises the result by mean curvature flow. To appreciate the accuracy and robustness of the methodology across clinical data of varying appearance and quality, a novel entropy-based quantitative image quality assessment of the different regions of interest is introduced. The new method is applied to 81 US images of the fetal arm acquired at multiple gestational ages, as a means to define a new automated image-based biomarker of fetal nutrition. Quantitative and qualitative evaluation shows that the segmentation method is comparable to manual delineations and robust across image qualities that are typical of clinical practice.