Medical images contain higher spatial correlation between data points compared to natural images. In this work we exploit this feature to develop a localisation network for application in 3D medical imaging data. Long-Short-term memory layers, are used to learn the distinct pattern in the organ anatomy which we propose will robustly localize organs and also deformations in organs caused by tumors that disrupt typical patterns/appearance. Our network achieves an average precision of 89% for fetal heart localisation on echocardiogram data, 83% for tumor localisation on the BraTS 2021 dataset and 80% for prostrate localisation on the Promise12 dataset. With a trainable parameter size (3.2M parameters) comparable to MobileNet-V2 for slice localisation and less than 10M for 3D we present a computationally efficient network for 3D localisation on medical data. Code has been made available at: https://github.com/MElizPhilip/LSTM-based-Medical-data-Localisation.

OBJECTIVES:Many critical obstetric pathologies are associated with deficiencies in placental perfusion. However, there are limited diagnostic tools available to evaluate this and there is marked variability. We previously used the validated tool, Three-Dimensional Fractional Moving Blood Volume (3D-FMBV), combined with infra-red camera tracking technology to quantify perfusion in the entire third-trimester placenta. This pilot study aimed to describe and evaluate the heterogeneity of placental perfusion, visualise this as a 'perfusion map,' and assess changes over gestation. METHODS:This single-centre, prospective, cross-sectional study included 27 uncomplicated, third-trimester singleton pregnancies with anterior placentas. Multiple 3D Power Doppler Ultrasound (3D-PD-US) volumes were acquired with infra-red camera tracking coordinates, stitched and manually segmented to calculate the entire placental 3D-FMBV and volume. Heterogeneity was described using the coefficient of variation (CoV) of 3D-FMBV between defined cubic regions. RESULTS:In third-trimester placentas, mean CoV was 34.1 % (±5.0), declining as global perfusion increased (p = 0.02). With advancing gestation, perfusion non-significantly increased (p = 0.11) and became more homogenous (p = 0.27), while overall placental volume significantly increased (p = 0.02). Two-way mixed measure ICCs were 0.78, 0.63 and 0.95 for global 3D-FMBV, CoV and placental volume respectively. CONCLUSION:This study successfully reconstructed entire third-trimester placentas using infra-red camera tracking technology, quantified perfusion using 3D-FMBV and demonstrated its heterogeneity. As gestation advances, perfusion appears to increase and become more uniform, potentially reflecting greater involvement of the placental bed to maximise fetoplacental exchange. Future work will explore automating our method, evaluating a larger cohort, and assessing differences in complicated pregnancies at-risk of stillbirth.

Congenital heart disease (CHD) is the most common fetal malformation, and it can result first in cardiac remodeling and dysfunction and later in cardiac failure and hydrops. A limited number of studies have evaluated cardiac function in fetuses affected by CHD. Functional parameters could potentially identify fetuses at risk of cardiac failure before its development. However, these techniques have not translated from research to clinical settings, due to a lack of standardization and poor repeatability. We seek to evaluate whether application of automated techniques to a cohort with fetal pathology could overcome these factors. A multicenter cohort study will be carried out in eight teaching hospitals across Europe, Australia, and Middle East. Based on a previous observed standard deviation, a total sample of 381 pregnancies is required to achieve 80

ABSTRACTObjectivePlacental insufficiency contributes to many obstetric pathologies however there is no bedside clinical tool to evaluate placental perfusion. We have developed a method to acquire multiple three‐dimensional power Doppler ultrasound (3D PD‐US) volumes of placental vasculature with infrared camera tracking providing global coordinates. These are automatically reconstructed (‘stitched’) into a model of the entire placenta. The purpose of the study was to evaluate the accuracy of automated reconstruction in an US phantom and apply this technique to human placentas.MethodsA custom‐designed acrylic phantom was constructed with dimensions mimicking a third‐trimester placenta, containing 12 quadrilateral towers of varying heights submersed in tissue‐mimicking solution. Triplicated three‐dimensional ultrasound volumes of this phantom were acquired at three different acquisition angles using infrared camera tracking. Data was transformed into a three‐dimensional cartesian volume and automatically stitched.A single‐centre, cross‐sectional feasibility study was conducted on uncomplicated second‐to‐third trimester singleton pregnancies using standardised obstetric settings. Multiple 3D PD‐US and grayscale volumes of the placenta were acquired with infrared camera tracked coordinates. Volumes were stitched to create a model of placental vasculature.Results6 phantom datasets were reconstructed at each of 3 volume angles with a median of 9 volumes required. Perfect volume alignment occurred in 66.7% of 648 datapoints. Mean distance error for volume misalignment was 2.92mm. Measurements of 210 distances in each stitched volume (2160 total distances) differed an average of 1.51mm from true measurements. These compare favourably with recent literature, though for a substantially larger phantom. 17 participants were scanned with 92% reconstruction success per placental volume set and 100% participant achievability. Median reconstruction time was 10 minutes. Placental vasculature was qualitatively assessed to be present, continuous, and detailed throughout. Volume measurement of entire segmented placentas was highly repeatable (ICC 0.96).ConclusionWe present an automated method to model the entire structure and vasculature of second‐to‐third trimester placentas, with verified accuracy and clinical feasibility for grayscale and power Doppler. This study builds the foundation to develop a practical screening tool for detecting placental insufficiency, and expansion to adult organ perfusion evaluation.This article is protected by copyright. All rights reserved.

Objectives: Multiple techniques have been proposed for functional fetal cardiology, including pulsed-wave (PW) and tissue Doppler imaging (TDI), Myocardial Performance Index (MPI), annular plane systolic excursion (TAPSE/MAPSE) and spatiotemporal image correlation (STIC). We aimed to compare these techniques' achievability and reproducibility to determine their clinical utility for each cardiac side. Methods: Uncomplicated pregnancies from 22 to 39 weeks were recruited and images and volumes stored for offline analysis. PWD-MPI values were calculated using previously demonstrated automation algorithms, and the remaining volumes were evaluated by two experienced operators. Results: 79 women were scanned generating 222 volumes, with high achievability (>86 %) for all three modalities on both cardiac sides; highest for TAPSE/MAPSE (94 %). Repeatability (ICC) on the right side of the heart was highest for TAPSE (inter-observer 0.86; intraobserver 0.73), compared to PWD-MPI (0.69) and TDI-MPI (0.83). For the left side, repeatability was high for both PWD-MPI (0.80) and TDI-MPI (0.86) though low for MAPSE (inter-observer 0.7, intra-observer 0.69). There was poor correlation between PWD-MPI and TDI-MPI values. Conclusions: TAPSE appears most reliable for evaluation of right heart function, compared to PWD-MPI for the left. As TDI-MPI correlates poorly with PWD-MPI, the latter appears to be the functional tool of choice.

Diabetes and cardiovascular disease are interlinked chronic conditions that necessitate continuous and precise monitoring of physiological and environmental parameters to prevent complications. Non-invasive monitoring technologies have garnered significant interest due to their potential to alleviate the current burden of diabetes and cardiovascular disease management. However, these technologies face limitations in accuracy and reliability due to interferences from physiological and environmental factors. This review investigates electronic textiles (e-textiles) that integrate biomedical sensors into wearable fabrics that can enable a multimodal platform for non-invasive continuous glucose monitoring (CGM). Current advancements in e-textiles show the potential of four key methods for glucose monitoring: optical, biochemical, biomechanical, and thermal sensing techniques. Biochemical sensing through sweat-based glucose detection has demonstrated potential for accurate and non-invasive monitoring but still faces numerous challenges. While optical, biomechanical and thermal sensing are less explored in e-textiles, they offer additional physiological and environmental insights that can improve the precision of glucose readings by providing cross-validation of data. This review proposes that integrating multiple sensing modalities into a single multimodal e-textile wearable can address the accuracy and reliability challenges by providing cross-validation of data. The development of such multimodal e-textiles has the potential to revolutionise diabetes and cardiovascular disease management by providing continuous, accurate, and holistic monitoring in real-time, which could significantly improve patient outcomes and quality of life. Further research and development are crucial to fully realise the potential of these integrated systems in clinical and everyday settings.

BACKGROUND:Obstetrical fistula is an abnormal opening between the reproductive tract and lower urinary and/or gastrointestinal tract resulting from obstetrical complications, affecting nearly two million women worldwide. It imposes physical, economic, social, and mental consequences on the affected women. Treatment outcomes vary and, mostly, surgical treatment results in improved quality of life and successful subsequent pregnancy for survivors. OBJECTIVES:The review aimed to chart and examine the treatment outcomes of obstetrical fistula surgical repair in low- and middle-income countries. SEARCH STRATEGY:This is a scoping review study to identify treatment outcomes of obstetrical fistula surgical repair in low- and middle-income countries. The search was conducted from databases (PUBMED, Embase, CINAHL, Scopus, and Web of Science), and gray literature (Google Scholar, Google, and conference proceedings). SELECTION CRITERIA:The eligibility criteria were constructed using a participant, concept, and context framework and included study types of primary research, reviews, and reports. Studies without full text and in languages other than English were excluded. DATA COLLECTION AND ANALYSIS:The relevant characteristics of the included studies were extracted on an Excel spreadsheet and analyzed to chart treatment outcomes. MAIN FINDINGS:The review examined the full text of 57 studies on the treatment outcomes of obstetrical fistula. The findings were grouped into two themes: early and late outcomes. The early outcomes included incontinence, surgical-site infection, urine retention, hemorrhage, and retained catheter. The late outcomes included fistula recurrence, residual incontinence, quality of life, reproductive issues, mental health, family and social support, and financial status. CONCLUSION:The treatment outcomes of obstetrical fistula can be grouped into short-term and long-term outcomes. Although this review found adequate studies for the analysis, most study designs were poor. Stronger studies are recommended in the future to guide policy and decision-making. We would like to suggest that researchers conduct systematic reviews and meta-analyses independently for short-term and long-term outcomes.

INTRODUCTION:Three-dimensional fractional moving blood volume (3D-FMBV) may provide superior noninvasive measurement of feto-placental perfusion compared to current methods. This study investigated the feasibility and repeatability of producing 3D-FMBV measurements of the placenta, fetal liver, kidney, and brain in a single ultrasound consultation. METHODS:The placenta, fetal liver, kidney, and brain were scanned in triplicate using 3D power Doppler ultrasound (3D-PDU) in 48 women ≥22 weeks of gestation with healthy fetuses. 3D-FMBV was calculated by two analyzers. Feasibility was assessed as the percentage of cases where 3D-FMBV could be evaluated; repeatability (intraobserver and interobserver) using two-way mixed measure intraclass correlation coefficients (ICCs). RESULTS:3D-FMBV was calculated for 100% of scanned organs. Intraobserver ICCs (95% CI) were good to excellent; 0.93 (0.88-0.96) and 0.87 (0.78-0.92) for placenta, 0.95 (0.92-0.97) and 0.98 (0.96-0.99) for fetal liver, 0.96 (0.94-0.98) and 0.91 (0.85-0.95) for fetal kidney, and 0.98 (0.97-0.99) and 0.97 (0.95-0.98) for fetal brain. Interobserver ICCs (95% CI) were 0.50 (0.08-0.73), 0.92 (0.85-0.96), 0.89 (0.78-0.94), and 0.71 (0.46-0.85) for placenta, fetal liver, kidney, and brain. CONCLUSION:Feto-placental perfusion assessment with 3D-FMBV is highly reliable in healthy pregnancies ≥22 weeks of gestation and can be feasibly calculated in four feto-placental vascular beds in a single ultrasound consultation.

Purpose: Ultrasound is the most commonly used medical imaging modality for diagnosis and screening in clinical practice. Due to its safety profile, noninvasive nature and portability, ultrasound is the primary imaging modality for fetal assessment in pregnancy. Current ultrasound processing methods are either manual or semi-automatic and are therefore laborious, time-consuming and prone to errors, and automation would go a long way in addressing these challenges. Automated identification of placental changes at earlier gestation could facilitate potential therapies for conditions such as fetal growth restriction and pre-eclampsia that are currently detected only at late gestational age, potentially preventing perinatal morbidity and mortality. Methods: We propose an automatic three-dimensional multi-modal (B-mode and power Doppler) ultrasound segmentation of the human placenta using deep learning combined with different fusion strategies.We collected data containing Bmode and power Doppler ultrasound scans for 400 studies. Results: We evaluated different fusion strategies and state-of-the-art image segmentation networks for placenta segmentation based on standard overlap- and boundary-based metrics. We found that multimodal information in the form of B-mode and power Doppler scans outperform any single modality. Furthermore, we found that B-mode and power Doppler input scans fused at the data level provide the best results with a mean Dice Similarity Coefficient (DSC) of 0.849. Conclusion: We conclude that the multi-modal approach of combining B-mode and power Doppler scans is effective in segmenting the placenta from 3D ultrasound scans in a fully automated manner and is robust to quality variation of the datasets.

Background: Novel ultrasound technology and software processing allow offline evaluation of tricuspid annular plane systolic excursion and mitral annular plane systolic excursion measurements. We wished to compare both novel 4D matrix (eM6C) and conventional (RAB6-D) transducers with variable settings (electronic spatiotemporal image correlation, spatiotemporal image correlation and four-dimensional real time) to determine if there was a significant difference in absolute value, quality and repeatability of the resultant reconstructed image and M-mode trace. Methods: A blinded prospective cross-sectional study of normal fetuses from 23 to 38 weeks’ gestation were recruited. After routine sonography, four-dimensional volumes were stored and analysed using GE 4DView™ software. Statistical analysis explored variability, correlations and repeatability of the measurements with chi-square analysis, intraclass correlations and the Bland–Altman comparison plots. A scoring system was devised for image quality. Results: Eighteen participants generated 282 data volumes. Absolute values demonstrated some inconsistencies for both tricuspid annular plane systolic excursion and mitral annular plane systolic excursion measurements with variations between transducers: the highest for the RAB6-D/spatiotemporal image correlation setting and the lowest for the four-dimensional real-time settings. The RAB6-D/spatiotemporal image correlation setting was the most repeatable combination (intraclass correlation coefficient = 0.85). Poorest image quality (M-mode trace, four-chamber view, annuli) came from the RAB6-D/four-dimensional real-time combination with the eM6C/electronic spatiotemporal image correlation and RAB6-D/spatiotemporal image correlation settings being nearly identical. Conclusion: We show that transducer and setting combinations influence absolute tricuspid annular plane systolic excursion/mitral annular plane systolic excursion measurements, so need to be articulated in future research. The transducer setting (electronic spatiotemporal image correlation/spatiotemporal image correlation/four-dimensional real time) was a more significant factor than the type of transducer (conventional vs matrix). Subjective image evaluation does not correlate well with repeatability of image acquisition. Further studies are needed to compare measurements using four-dimensional post-processing tools against conventional real-time measurements.

Objective: We aimed to evaluate the physiological variation in common pulsed-wave Doppler (PWD) indices of impedance to determine the number of waveforms to be averaged to minimise variability to 5%. Methods: A single-centre, prospective, cross-sectional cohort study of uncomplicated singleton pregnancies at 20 -37 week's gestation. From each patient 100 PWD waveforms were acquired including the umbilical artery (UA), middle cerebral artery (MCA) and uterine arteries (UtAs), with 30 waveforms acquired from the ductus venosus. Each waveform was individually measured using the machine's in-built software in automated mode. The variability was assessed using coefficient of variation. The number of waveforms to be averaged was calculated using the moving average and standard error of mean. Results: From a cohort of 200 pregnancies, a total of 189 were analysed. The pulsatility index (PI) demonstrated greater variability compared with the resistance index (RI) in all vessels studied. A minimum of 14 UA and MCA, and 13 UtA PWD waveforms were required to reduce PI variability to 5%, while only 2 RI waveforms were required for UA, 1 for MCA and 8 for UtAs. Conclusion: The variability shown across all PWD indices and between vessels means that PWD indices results should be interpreted cautiously and averaged over multiple waveforms. Consideration should be given to adoption of RI, as it showed greater stability than PI for maternal-fetal Doppler.

Ultrasound is the most commonly used medical imaging modality for diagnosis and screening in clinical practice. Due to its safety profile, noninvasive nature and portability, ultrasound is the primary imaging modality for fetal assessment in pregnancy. Current ultrasound processing methods are either manual or semi-automatic and are therefore laborious, time-consuming and prone to errors, and automation would go a long way in addressing these challenges. In this work, we propose automatic three-dimensional multi-modal ultrasound segmentation of the human placenta using deep learning combined with different fusion strategies. We collected data containing B-mode and power Doppler ultrasound scans for 400 studies. We evaluated different fusion strategies and state-of-the-art image segmentation networks for placenta segmentation based on standard overlap- and boundary-based metrics. We found that multimodal information in the form of B-mode and power Doppler scans outperform any single modality. Furthermore, we found that B-mode and power Doppler input scans fused at the data level provide the best results with a mean Dice Similarity Coefficient (DSC) of 0.849. We conclude that the proposed methodology is effective in segmenting the placenta from 3D US scans in a fully automated manner and is robust to quality variation of the datasets.

ABSTRACT Objective Fetoscopic laser photocoagulation (FLP) is a well‐established treatment for twin–twin transfusion syndrome (TTTS) between 16 and 26 weeks' gestation. High‐quality evidence and guidelines regarding the optimal clinical management of very early (prior to 16 weeks), early (between 16 and 18 weeks) and late (after 26 weeks) TTTS are lacking. The aim of this study was to construct a structured expert‐based clinical consensus for the management of early and late TTTS. Methods A Delphi procedure was conducted among an international panel of experts. Participants were chosen based on their clinical expertise, affiliation and relevant publications. A four‐round Delphi survey was conducted using an online platform and responses were collected anonymously. In the first round, a core group of experts was asked to answer open‐ended questions regarding the indications, timing and modes of treatment for early and late TTTS. In the second and third rounds, participants were asked to grade each statement on a Likert scale (1, completely disagree; 5, completely agree) and to add any suggestions or modifications. At the end of each round, the median score for each statement was calculated. Statements with a median grade of 5 without suggestions for change were accepted as the consensus. Statements with a median grade of 3 or less were excluded from the Delphi process. Statements with a median grade of 4 were modified according to suggestions and reconsidered in the next round. In the last round, participants were asked to agree or disagree with the statements, and those with more than 70% agreement without suggestions for change were considered the consensus. Results A total of 122 experts met the inclusion criteria and were invited to participate, of whom 53 (43.4%) agreed to take part in the study. Of those, 75.5% completed all four rounds. A consensus on the optimal management of early and late TTTS was obtained. FLP can be offered as early as 15 weeks' gestation for selected cases, and can be considered up to 28 weeks. Between 16 and 18 weeks, management should be tailored according to Doppler findings. Conclusions A consensus‐based treatment protocol for early and late TTTS was agreed upon by a panel of experts. This protocol should be modified at the discretion of the operator, according to their experience and the specific demands of each case. This should advance the quality of future studies, guide clinical practice and improve patient care. © 2023 International Society of Ultrasound in Obstetrics and Gynecology.

Background Obstetric fistula is a serious and debilitating problem resulting from tissue necrosis on the reproductive and urinary and/or lower gastrointestinal tract organs due to prolonged labor. Primary studies of the treatment of obstetric fistulae report significantly variable treatment outcomes following surgical repair. However, no systematic review and meta-analysis has yet estimated the pooled proportion and identified the determinants of successful obstetric fistula surgical repair. Objective To estimate the proportion and identify the determinants of successful surgical repair of obstetric fistulae in low- and middle-income countries. Methods The protocol was developed and registered at the International Prospective Register of Systematic Reviews (ID CRD42022323630). Searches of PubMed, Embase, CINAHL, Scopus databases, and gray literature sources were performed. All the accessed studies were selected with Covidence, and the quality of the studies was examined. Finally, the data were extracted using Excel and analyzed with R software. Results This review included 79 studies out of 9337 following the screening process. The analysis reveals that 77.85% (95%CI: 75.14%; 80.56%) of surgical repairs in low and middle-income countries are successful. Women who attain primary education and above, are married, and have alive neonatal outcomes are more likely to have successful repair outcomes. In contrast, women with female genital mutilation, primiparity, a large fistula size, a fistula classification of II and above, urethral damage, vaginal scarring, a circumferential defect, multiple fistulae, prior repair and postoperative complications are less likely to have successful repair outcomes. Conclusion The proportion of successful surgical repairs of obstetric fistula in low and middle-income countries remains suboptimal. Hence, stakeholders and policymakers must design and implement policies promoting women’s education. In addition, fistula care providers need to reach and manage obstetric fistula cases early before complications, like vaginal fibrosis, occur.

Objectives: This study aimed to evaluate the feasibility and reliability of tricuspid and mitral annular plane systolic excursion measurements (TAPSE and MAPSE) applying M-mode Spatiotemporal Image Correlation (STIC) technology in low-risk pregnancies. Methods: An initial retrospective pilot study was carried out to assess repeatability, followed by a larger mixed cross-sectional and prospective longitudinal study, both evaluating low-risk singleton pregnancies between 22(+6) and 39(+1) weeks. As only annuli capture was necessary, STIC acquisition parameters were set to the minimum volume angle of 15 degrees and acquisition time of 7.5 s. Results: A total of 330 volumes were analysed offline applying STIC M-mode. Acquisition rates were 96.9 % for TAPSE and 93.7 % MAPSE in the pilot study (n=32) and 98.0 % for both in the longitudinal study (n=102). Both study designs revealed good repeatability for both sides of the heart, with higher intraclass correlation coefficients (ICCs) for TAPSE (0.84-0.94) compared to MAPSE (0.80-0.88). Good repeatability was demonstrated for both sides of the heart, more so for TAPSE than MAPSE, with ICCs for TAPSE 0.84-0.91 and MAPSE 0.75-0.76, comparable to prior ICCs for STIC repeatability. Conclusions: Modified STIC acquisition settings specifically tailored for capturing the longitudinal annular displacement may improve STIC TAPSE and MAPSE acquisition rates, optimising image quality for precise measurement and potentially bringing these modalities closer to clinical application.

Introduction: Both tissue Doppler imaging (TDI) and pulsed wave Doppler (PWD) Myocardial Performance Indices (MPIs) have been proposed as tools for functional fetal cardiology. We wished to determine if there was any correlation between TDI-MPI and PWD-MPI. Methods: A cohort of uncomplicated women with morphologically normal singleton fetuses between 22 and 39 weeks of gestation was recruited. A single sonologist acquired Doppler waveforms for evaluation of both left and right TDI-MPI and PWD-MPI. The PWD-MPI values were calculated using a previously published algorithm and the TDI-MPI time intervals were measured manually by a single operator. Results: Achievability and repeatability were high for both modalities. TDI produced significantly lower right MPI values yet significantly higher left MPI values, potentially reflecting their evaluation of physiologically different events, blood flow versus myocardial contraction. Conclusion: This study demonstrates that MPIs measured from PWD and TDI have a weak correlation and cannot be used interchangeably, even with the exclusion of suboptimal TDI-MPI scans from the analysis. Given the lack of correlation between the two methods, the high variation in TDI waveform, and the lack of unified approach to TDI analysis, we feel further research is needed before adoption of this technique.

Background Gestational Diabetes Mellitus (GDM) incidence and adverse outcomes have increased globally. The validity of the oral glucose tolerance test (OGTT) for GDM diagnosis has long been questioned, with no suitable substitute reported yet. Continuous Glucose Monitoring (CGM) is potentially a more acceptable and comprehensive test. The aim of this study was to assess the Freestyle Libre Pro 2 acceptability as a diagnostic test for GDM, then triangulating its results with OGTT results as well as risk factors and sonographic features of GDM. Methods Women wore the CGM device for 7 days at 24–28 weeks, undergoing the OGTT before CGM removal. CGM/OGTT acceptability as well as GDM risk factors evaluation occurred via three online surveys. CGM distribution/variability/time in range parameters, combined in a CGM Score of Variability (CGMSV), were triangulated with OGTT results and a risk-factor-based Total Risk Score (TRS). In a subgroup, GDM ultrasound features (as modified Ultrasound Gestational Diabetes Score – m-UGDS) were also incorporated. Results Of 107 women recruited, 87 (81%) were included: 74 (85%) with negative OGTT (NGT) and 13 (15%) positive (GDM). No significant difference was found between NGT and GDM in terms of demographics (apart from family history of diabetes mellitus), CGM parameters and perinatal outcomes. Women considered CGM significantly more acceptable than OGTT (81% versus 27% rating 5/5, p < 0.001). Of the 55 NGT with triangulation data, 28 were considered ‘true negative’ (TRS concordant with OGTT and CGMSV): of these 4/5 evaluated at ultrasound had m-UGDS below the cut-off. Five women were considered ‘false negative’ (negative OGTT with both TRS and CGMSV above the respective cut-offs). Triangulation identified also six ‘false positive’ women (positive OGTT but TRS and CGM both below the cut-offs). Only one woman for each of the last two categories had m-UGDS evaluated, with discordant results. Conclusions CGM represents a more acceptable alternative for GDM diagnosis to the OGTT. CGM triangulation analysis suggests OGTT screening may result in both false positives and negatives. Further research including larger cohorts of patients, and additional triangulation elements (such as GDM biomarkers/outcomes and expanded m-UGDS) is needed to explore CGM potential for GDM diagnosis.

Diabetes Mellitus incidence and its negative outcomes have dramatically increased worldwide and are expected to further increase in the future due to a combination of environmental and social factors. Several methods of measuring glucose concentration in various body compartments have been described in the literature over the years. Continuous advances in technology open the road to novel measuring methods and innovative measurement sites. The aim of this comprehensive review is to report all the methods and products for non-invasive glucose measurement described in the literature over the past five years that have been tested on both human subjects/samples and tissue models. A literature review was performed in the MDPI database, with 243 articles reviewed and 124 included in a narrative summary. Different comparisons of techniques focused on the mechanism of action, measurement site, and machine learning application, outlining the main advantages and disadvantages described/expected so far. This review represents a comprehensive guide for clinicians and industrial designers to sum the most recent results in non-invasive glucose sensing techniques’ research and production to aid the progress in this promising field.

Aims The oral glucose tolerance test (OGTT), used for gestational diabetes mellitus (GDM) diagnosis for over 65 years, has poor acceptability and tolerability. Continuous glucose monitoring is being considered as potential alternative. The aim of our study was to formally assess women’s and health care professionals’ perception of both tests as diagnostic tools for GDM. Methods Participants in a pilot study on continuous glucose monitoring for GDM diagnosis were invited to fill two questionnaires, each of 6 Likert-scale and one optional open-ended question. A range of healthcare practitioners were also invited to fill a questionnaire of 13 Likert-scale and 7 optional open-ended questions. Results Sixty women completed the OGTT and 70 the continuous glucose monitoring questionnaire. OGTT was reported as poorly acceptable. Continuous glucose monitoring was described as significantly more tolerable (81% vs 27% 5/5 general acceptability rate, p < 0.001); ninety-three percent of the participants would recommend it for GDM diagnosis. Thirty health care professionals completed the survey. Most of them (73%) had confidence in OGTT as a diagnostic test for GDM with 66% raising some concerns. Doubts on continuous glucose monitoring were raised in terms of costs, accessibility and accuracy for GDM diagnosis due to “lack of evidence”. Conclusions Continuous glucose monitoring was substantially better tolerated for women than OGTT. Current lack of evidence for diagnostic accuracy for GDM underlines the need for studies on correlation between continuous glucose monitoring parameters and pregnancy outcomes to strengthen evidence for its use as diagnostic test for GDM.

BackgroundHigher-order multiple (HOM) pregnancies are associated with significant maternal and neonatal morbidity, especially consequent to preterm birth. Multi-fetal pregnancy reduction (MFPR) may be provided, though its benefits in prolonging gestation and improving neonatal outcomes must be weighed against its risks. AimsThe aim was to compare outcomes of HOM pregnancies where expectant management was chosen (EM) with those where MFPR was provided. MethodsThe method involved a retrospective study of HOM pregnancies referred to a single quaternary hospital between 2007 and 2016. The primary outcome was gestational age. Secondary outcomes included miscarriage, nursery admission, hospital stay, Apgar scores, early fetal loss, stillbirth, neonatal death and composite fetal loss. ResultsFifty-seven pregnancies were eligible for inclusion. Median gestation at birth (weeks) was significantly higher for MFPR (35.3 vs 33.1, P < 0.01). Pregnancies after MFPR were less likely to lead to preterm birth (63.2 vs 100.0%, P < 0.001), half as likely to birth before 34 weeks (31.6 vs 60.0%, P = 0.09) but similarly likely to extremely preterm birth (<28 weeks, 8.6 vs 10.5%, P = 0.58). Miscarriage was more likely after MFPR (13.6 vs 0%, P = 0.05). EM neonates were more likely to be admitted to the nursery (P < 0.01) and have longer hospital stay (29.6 vs 20.2 days, P = 0.05); however, they had similar Apgar scores. ConclusionOur study demonstrates that MFPR is associated with an increase in gestational age, with a reduction by almost half of births before 34 weeks, but no difference in extremely preterm births; the latter represents the highest risk group. This should be used to guide management counselling for HOM pregnancies.