Role of artificial-intelligence-assisted automated cardiac biometrics in prenatal screening for coarctation of aorta.

OBJECTIVE: Although remarkable strides have been made in fetal medicine and the prenatal diagnosis of congenital heart disease, around 60% of newborns with isolated coarctation of the aorta (CoA) are not identified prior to birth. The prenatal detection of CoA has been shown to have a notable impact on survival rates of affected infants. To this end, implementation of artificial intelligence (AI) in fetal ultrasound may represent a groundbreaking advance. We aimed to investigate whether the use of automated cardiac biometric measurements with AI during the 18-22-week anomaly scan would enhance the identification of fetuses that are at risk of developing CoA. METHODS: We developed an AI model capable of identifying standard cardiac planes and conducting automated cardiac biometric measurements. Our data consisted of pregnancy ultrasound image and outcome data spanning from 2008 to 2018 and collected from four distinct regions in Denmark. Cases with a postnatal diagnosis of CoA were paired with healthy controls in a ratio of 1:100 and matched for gestational age within 2 days. Cardiac biometrics obtained from the four-chamber and three-vessel views were included in a logistic regression-based prediction model. To assess its predictive capabilities, we assessed sensitivity and specificity on receiver-operating-characteristics (ROC) curves. RESULTS: At the 18-22-week scan, the right ventricle (RV) area and length, left ventricle (LV) diameter and the ratios of RV/LV areas and main pulmonary artery/ascending aorta diameters showed significant differences, with Z-scores above 0.7, when comparing subjects with a postnatal diagnosis of CoA (n = 73) and healthy controls (n = 7300). Using logistic regression and backward feature selection, our prediction model had an area under the ROC curve of 0.96 and a specificity of 88.9% at a sensitivity of 90.4%. CONCLUSIONS: The integration of AI technology with automated cardiac biometric measurements obtained during the 18-22-week anomaly scan has the potential to enhance substantially the performance of screening for fetal CoA and subsequently the detection rate of CoA. Future research should clarify how AI technology can be used to aid in the screening and detection of congenital heart anomalies to improve neonatal outcomes. © 2024 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

"Important but risky": attitudes of global thought leaders towards cost and value research in health professions education.

Studies of cost and value can inform educational decision making, yet our understanding of the barriers to such research is incomplete. To address this gap, our aim was to explore the attitudes of global thought leaders in HPE towards cost and value research. This was a qualitative virtual interview study underpinned by social constructionism. In telephone or videoconference interviews in 2018-2019, we asked global healthcare professional thought leaders their views regarding HPE cost and value research, outstanding research questions in this area and why addressing these questions was important. Analysis was inductive and thematic, and incorporated review and comments from the original interviewees (member checking). We interviewed 11 thought leaders, nine of whom gave later feedback on our data interpretation (member checking). We identified four themes: Cost research is really important but potentially risky (quantifying and reporting costs provides evidence for decision-making but could lead to increased accountability and loss of autonomy); I don't have the knowledge and skills (lack of economic literacy); it's not what I went into education research to do (professional identity); and it's difficult to generate generalizable findings (the importance of context). This study contributes to a wider conversation in the literature about cost and value research by bringing in the views of global HPE thought leaders. Our findings provide insight to inform how best to engage and empower educators and researchers in the processes of asking and answering meaningful, acceptable and relevant cost and value questions in HPE.

2021 international consensus statement on optical coherence tomography for basal cell carcinoma: image characteristics, terminology and educational needs.

BACKGROUND: Despite the widespread use of optical coherence tomography (OCT) for imaging of keratinocyte carcinoma, we lack an expert consensus on the characteristic OCT features of basal cell carcinoma (BCC), an internationally vetted set of OCT terms to describe various BCC subtypes, and an educational needs assessment. OBJECTIVES: To identify relevant BCC features in OCT images, propose terminology based on inputs from an expert panel and identify content for a BCC-specific curriculum for OCT trainees. METHODS: Over three rounds, we conducted a Delphi consensus study on BCC features and terminology between March and September 2020. In the first round, experts were asked to propose BCC subtypes discriminable by OCT, provide OCT image features for each proposed BCC subtypes and suggest content for a BCC-specific OCT training curriculum. If agreement on a BCC-OCT feature exceeded 67%, the feature was accepted and included in a final review. In the second round, experts had to re-evaluate features with less than 67% agreement and rank the ten most relevant BCC OCT image features for superficial BCC, nodular BCC and infiltrative and morpheaphorm BCC subtypes. In the final round, experts received the OCT-BCC consensus list for a final review, comments and confirmation. RESULTS: The Delphi included six key opinion leaders and 22 experts. Consensus was found on terminology for three OCT BCC image features: (i) hyporeflective areas, (ii) hyperreflective areas and (iii) ovoid structures. Further, the participants ranked the ten most relevant image features for nodular, superficial, infiltrative and morpheaform BCC. The target group and the key components for a curriculum for OCT imaging of BCC have been defined. CONCLUSION: We have established a set of OCT image features for BCC and preferred terminology. A comprehensive curriculum based on the expert suggestions will help implement OCT imaging of BCC in clinical and research settings.

Detection of growth-restricted fetuses during pregnancy is associated with fewer intrauterine deaths but increased adverse childhood outcomes: an observational study.

OBJECTIVE: Exploring associations between antenatal detection of fetal growth restriction (FGR) and adverse outcome. DESIGN: Retrospective, observational, register-based study. SETTING: Zealand, Denmark. POPULATION OR SAMPLE: Children born from 1 September 2012 to 31 August 2015. METHODS: Diagnoses from birth until 1 January 2018 were retrieved from The National Patient Registry. Detection was defined as estimated fetal weight less than the 2.3rd centile. Cox regression was used to associate detection status with the hazard rate of adverse outcome, adjusted for fetal weight deviation, maternal age, ethnicity, body mass index and smoking. MAIN OUTCOME MEASURES: Adverse neonatal outcome, adverse neuropsychiatric outcome, respiratory disorders, endocrine disorders, gastrointestinal/urogenital disorders. RESULTS: A total of 2425 FGR children were included. An association was found for gastrointestinal/urogenital disorders (hazard ratio [HR] 1.68, 95% CI 1.26-2.23, P < 0.001) and respiratory disorders (HR 1.22, 95% CI 1.02-1.46, P = 0.03) in detected versus undetected infants. For adverse neuropsychiatric outcome, HR was 1.32 (95% CI 1.00-1.75, P = 0.05). There was no evidence of an association between detection and adverse neonatal outcome (HR 1.00, 95% CI 0.62-1.61, P = 0.99) and endocrine disorders (HR 1.39, 95% CI 0.88-2.19, P = 0.16). Detected infants were smaller (median -28% versus -25%, P < 0.0001), more often born preterm (odds ratio [OR] 4.15, 3.12-5.52, P < 0.0001) and more often born after induction or caesarean section (OR 5.19, 95% CI 4.13-6.51, P < 0.0001). Stillbirth risk was increased in undetected FGR fetuses (OR 2.63, 95% CI 1.37-5.04, P = 0.004). CONCLUSIONS: We found an association between detection of FGR and risk of adverse childhood conditions, possibly caused by prematurity. Iatrogenic prematurity may be inevitable in stillbirth prevention, but is accompanied by a risk of long-term childhood conditions. TWEETABLE ABSTRACT: Antenatal detection of growth-restricted fetuses is associated with adverse childhood outcomes but fewer intrauterine deaths.

Multicenter randomized trial exploring effects of simulation-based ultrasound training on obstetricians' diagnostic accuracy: value for experienced operators.

OBJECTIVE: To explore the effects of simulation-based ultrasound training on the accuracy of fetal weight estimation in the third trimester among obstetricians with different levels of clinical experience. METHODS: This was a multicenter, randomized pre-post-test practical trial conducted between March 2016 and January 2018. Obstetricians with different levels of clinical experience were randomized to either simulation-based ultrasound training focusing on fetal weight scans or no intervention. Participants completed two scans in pregnant women at term to establish baseline accuracy of fetal weight estimation. Another two scans were performed at follow-up. Accuracy was defined by the percentage difference between estimated fetal weight and actual birth weight. Ultrasound image quality was rated by two expert raters. RESULTS: Seventy participants with different levels of clinical experience completed the study. Adjusting for clinical experience, the intervention group demonstrated an improvement in measurement accuracy of 31.9% (95% CI, 6.9-50.1%) (P = 0.02), whereas the control group did not improve (relative difference, 13.1% (95% CI, -17.9 to 55.9%); P = 0.45). The change in accuracy was significantly different between the groups (P = 0.02) and independent of clinical experience (P = 0.54). Image-quality scores improved by a mean of 1.2 (95% CI, 0.4-2.1) (P < 0.01) in the intervention group, with no change in the control group (mean difference, 0.1 (95% CI, -0.8 to 1.0); P = 0.78). There was a strong negative correlation between time spent using the simulator and clinical experience (r = -0.70, P = 0.0001). CONCLUSION: Simulation-based ultrasound training improved accuracy and image quality when performing fetal weight estimation in women at term, independent of obstetricians' clinical experience. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.

AMEE Guide No. 123 - How to read studies of educational costs.

Healthcare and health professions education share many of the same problems in decision making. In both cases, there is a finite amount of resources, and so choices need to be made between alternatives. To navigate the options available requires effective decision making. Choosing one option requires consideration of its opportunity cost - the benefit forgone of the other competing options. The purpose of this abridged AMEE guide is to introduce educational decision-makers to the economic concept of cost, and how to read studies about educational costs to inform effective cost-conscious decision-making. This guide leads with a brief review of study designs commonly utilized in this field of research, followed by an overview of how study findings are commonly presented. The tutorial will then offer a four-step model for appraising and considering the results of an economic evaluation. It asks the questions: (1) Can I trust the results? (2) What are the results telling me? (3) Could the results be transferred to my context? (4) Should I change my practice?

Simulation-based point-of-care ultrasound training: a matter of competency rather than volume.

BACKGROUND: Point-of-care ultrasonography plays an increasingly important role in the initial resuscitation of critically ill patients but acquisition of the skill is associated with long learning curves. The skills required to perform ultrasound examinations can be practiced in a simulated setting before being performed on actual patients. The aim of this study was to investigate the learning curves for novices training the FAST protocol on a virtual-reality simulator. METHODS: Ultrasound novices (N = 25) were instructed to complete a FAST training program on a virtual-reality ultrasound simulator. Participants were instructed to continue training until they reached a previously established mastery learning level, which corresponds to the performance level of a group of ultrasound experts. Performance scores and time used during each FAST examination were used to determine participants' learning curves. RESULTS: The participants attained the mastery learning level within a median of three (range two to four) attempts corresponding to a median of 1 h 46 min (range 1 h 2 min to 3 h 37 min) of simulation training. The ultrasound novices' examination speed improved significantly with training, and continued to improve even after they attained the mastery learning level (P = 0.011). Twenty-three participants attained the mastery learning level. CONCLUSION: Novices can attain mastery learning levels using simulation-based ultrasound training with less than, on average, 2 h of practice. However, we found large variations in the amount of training needed, which raises questions about the adequacy of current volume-based models for determining ultrasound competency.

Sustained effect of simulation-based ultrasound training on clinical performance: a randomized trial.

OBJECTIVE: To study the effect of initial simulation-based transvaginal sonography (TVS) training compared with clinical training only, on the clinical performance of residents in obstetrics and gynecology (Ob-Gyn), assessed 2 months into their residency. METHODS: In a randomized study, new Ob-Gyn residents (n = 33) with no prior ultrasound experience were recruited from three teaching hospitals. Participants were allocated to either simulation-based training followed by clinical training (intervention group; n = 18) or clinical training only (control group; n = 15). The simulation-based training was performed using a virtual-reality TVS simulator until an expert performance level was attained, and was followed by training on a pelvic mannequin. After 2 months of clinical training, one TVS examination was recorded for assessment of each resident's clinical performance (n = 26). Two ultrasound experts blinded to group allocation rated the scans using the Objective Structured Assessment of Ultrasound Skills (OSAUS) scale. RESULTS: During the 2 months of clinical training, participants in the intervention and control groups completed an average ± SD of 58 ± 41 and 63 ± 47 scans, respectively (P = 0.67). In the subsequent clinical performance test, the intervention group achieved higher OSAUS scores than did the control group (mean score, 59.1% vs 37.6%, respectively; P < 0.001). A greater proportion of the intervention group passed a pre-established pass/fail level than did controls (85.7% vs 8.3%, respectively; P < 0.001). CONCLUSION: Simulation-based ultrasound training leads to substantial improvement in clinical performance that is sustained after 2 months of clinical training. © 2015 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of the International Society of Ultrasound in Obstetrics and Gynecology.

Assessment of performance measures and learning curves for use of a virtual-reality ultrasound simulator in transvaginal ultrasound examination.

OBJECTIVE: To assess the validity and reliability of performance measures, develop credible performance standards and explore learning curves for a virtual-reality simulator designed for transvaginal gynecological ultrasound examination. METHODS: A group of 16 ultrasound novices, along with a group of 12 obstetrics/gynecology (Ob/Gyn) consultants, were included in this experimental study. The first two performances of the two groups on seven selected modules on a high-fidelity ultrasound simulator were used to identify valid and reliable metrics. Performance standards were determined and novices were instructed to continue practicing until they attained the performance level of an expert subgroup (n = 4). RESULTS: All 28 participants completed the selected modules twice and all novices reached the expert performance level. Of 153 metrics, 48 were able to be used to discriminate between the two groups' performance. The ultrasound novices scored a median of 43.8% (range, 17.9-68.9%) and the Ob/Gyn consultants scored a median of 82.8% (range, 60.4-91.7%) of the maximum sum score (P < 0.001). The ultrasound novices reached the expert level (88.4%) within a median of five iterations (range, 5-6), corresponding to an average of 219 min (range, 150-251 min) of training. The test/retest reliability was high, with an intraclass correlation coefficient of 0.93. CONCLUSIONS: Competence in the performance of gynecological ultrasound examination can be assessed in a valid and reliable way using virtual-reality simulation. The novices' performance improved with practice and their learning curves plateaued at the level of expert performance, following between 3 and 4 h of simulator training.

Which factors are associated with trainees' confidence in performing obstetric and gynecological ultrasound examinations?

OBJECTIVE: To explore the association between clinical training characteristics and trainees' level of confidence in performing ultrasound scans independently. METHODS: A cross-sectional e-survey was distributed to members of the national societies of junior obstetricians/gynecologists in Denmark, Sweden and Norway (n = 973). Multiple linear regression models were used to explore the effect that amount of time spent in specialized ultrasound units and clinical experience had on trainees' confidence in performing ultrasonography independently. Exploratory factor analysis was used to identify factors that contributed to trainees' confidence in performing ultrasonography. Trainees' ultrasound confidence was finally compared with their expected levels of performance. RESULTS: Of the 682 respondents (response rate 70.1%), 621 met the inclusion criteria. Clinical experience and time spent in specialized ultrasound units were predictors of trainees' confidence in performing ultrasonography independently (P < 0.001). Trainees required more than 24 months of clinical experience and 12-24 days of training in specialized ultrasound units in order to feel confident about performing transvaginal and transabdominal ultrasound scans independently. Three factors were related to ultrasound confidence: technical aspects, image perception and integration of scan into patient care. There were significant differences between trainees' level of confidence and their expected levels of performance (P < 0.001). CONCLUSIONS: Clinical experience and time spent in specialized ultrasound units were predictors of trainees' confidence in performing ultrasonography independently. Discrepancies between trainees' confidence and their expected levels of performance raised concerns about the adequacy of current ultrasound training programs.

Reliable and valid assessment of ultrasound operator competence in obstetrics and gynecology.

OBJECTIVES: To explore the reliability and validity of a recently developed instrument for assessment of ultrasound operator competence, the Objective Structured Assessment of Ultrasound Skills (OSAUS). METHODS: Three groups of 10 doctors with different levels of ultrasound experience in obstetrics and gynecology were included. The novices had less than 1 month of experience, the intermediate group had 12-60 months of experience and the senior participants were all consultants. Fifteen participants performed transabdominal fetal biometry and the other 15 participants performed systematic transvaginal gynecological ultrasound scans. All scans were video-recorded and assessed by two blinded consultants using the OSAUS scale. The OSAUS scores were compared between the groups using the Kruskal-Wallis test, and pass/fail scores were determined using the contrasting-groups method of standard setting. RESULTS: For the transabdominal fetal biometry examinations, the mean ± SD OSAUS scores of the novices, intermediates and senior participants were 1.5 ± 0.4, 3.3 ± 0.6 and 4.4 ± 0.4, respectively (P = 0.003). For the systematic transvaginal scans, the mean ± SD OSAUS scores of the novices, intermediates and senior participants were 1.8 ± 0.2, 3.1 ± 0.1 and 3.9 ± 0.5, respectively (P = 0.003). Post-hoc comparisons showed significant differences between each of the groups for both types of scans. The pass/fail score was 2.5 for the transvaginal scan and 3.0 for the transabdominal biometry examinations. The inter-rater reliability was 0.89. CONCLUSIONS: Ultrasound competence can be assessed in a reliable and valid way using the OSAUS scale. The pass/fail scores may be used to help determine when trainees are qualified for independent practice.

Feasibility of self-directed learning in clerkships.

BACKGROUND: Self-directed learning has been well described in preclinical settings. However, studies report conflicting results when self-directed initiatives are implemented in clinical clerkships. AIM: To explore the feasibility of self-directed learning stimulated by clinical encounter-cards (CECs) in clinical clerkships. METHODS: Two focus groups of year-four and year-five students were interviewed about the usefulness of CECs to their learning in clerkships. The CECs were then introduced in two cohorts of 248 year-four and 250 year-five medical students and evaluated on a nine-point scale with regard to usefulness and feasibility. RESULTS: The pilot groups reported that the CECs had positive effects in terms of engaging in diagnostic reasoning, reflection on management plans, and professional identity formation. However, the two large cohorts of students rated the usefulness of the CECs on learning in clerkship low (year-four: mean 2.92, SD 1.54; year-five: mean 2.28, SD 1.06) along with preceptor support (year-four: mean 2.68, SD 1.62; year-five: mean 2.59, SD 1.78, p = 0.34). CONCLUSION: Self-directed CECs can have a positive effect on participation and clinical reasoning but are highly dependent on the context of use. Self-directed learning initiatives that aim to increase participation in communities of practice may not be feasible without major faculty development initiatives.