Citations

Cardiac computed tomography (CT) has rapidly advanced, becoming an invaluable tool for diagnosing and prognosticating various cardiovascular diseases. While echocardiography and cardiac magnetic resonance imaging (CMR) remain the gold standards for myocardial assessment, modern CT technologies offer enhanced spatial resolution, making it an essential tool in clinical practice. Cardiac CT has expanded beyond coronary artery disease evaluation, now playing a key role in assessing cardiomyopathies and structural heart diseases. Innovations like photon-counting CT enable precise estimation of myocardial extracellular volume, facilitating the detection of infiltrative disorders and myocardial fibrosis. Additionally, CT-based myocardial strain analysis allows for the classification of impaired myocardial contractility, while quantifying cardiac volumes and function remains crucial in cardiomyopathy evaluation. This review explores the emerging role of cardiac CT in cardiomyopathy phenotyping, emphasizing recent technological advancements.

Background: Anatomically accurate illustrations are imperative in medical education, serving as crucial tools to facilitate comprehension of complex anatomical structures. While traditional illustration methods involving human artists remain the gold standard, the rapid advancement of Generative Artificial Intelligence (GAI) models presents a new opportunity to automate and accelerate this process. This study evaluated the potential of GAI models to produce craniofacial anatomy illustrations for educational purposes. Methods: Four GAI models, including Midjourney v6.0, DALL-E 3, Gemini Ultra 1.0, and Stable Diffusion 2.0 were used to generate 736 images across multiple views of surface anatomy, bones, muscles, blood vessels, and nerves of the cranium in both oil painting and realistic photograph styles. Four reviewers evaluated the images for anatomical detail, aesthetic quality, usability, and cost-effectiveness. Inter-rater reliability analysis assessed evaluation consistency. Results: Midjourney v6.0 scored highest for aesthetic quality and cost-effectiveness, and DALL-E 3 performed best for anatomical detail and usability. The inter-rater reliability analysis demonstrated a high level of agreement among reviewers (ICC = 0.858, 95% CI). However, all models showed significant flaws in depicting crucial anatomical details such as foramina, suture lines, muscular origins/insertions, and neurovascular structures. These limitations were further characterized by abstract depictions, mixing of layers, shadowing, abnormal muscle arrangements, and labeling errors. Conclusions: These findings highlight GAI’s potential for rapidly creating craniofacial anatomy illustrations but also its current limitations due to inadequate training data and incomplete understanding of complex anatomy. Refining these models through precise training data and expert feedback is vital. Ethical considerations, such as potential biases, copyright challenges, and the risks of propagating inaccurate information, must also be carefully navigated. Further refinement of GAI models and ethical safeguards are essential for safe use.

Background: Preventing infections associated with cardiac implantable electronic devices (CIED) and neurostimulators is essential to optimizing patient outcomes. This study aimed to evaluate the antimicrobial performance of a biologic CIED envelope incorporating a bioabsorbable disc infused with rifampin and minocycline. Methods: The antimicrobial activity was evaluated in a rabbit model and in vitro elution tests. Based on in vivo–in vitro correlation studies, a modified AATCC-100 method was used to quantitatively assess antibacterial activity across seven bacterial strains relevant to CIED infections. Results: Pharmacokinetic analysis showed a biphasic elution profile, with rapid initial release followed by more gradual elution over 14 days. The AATCC results showed no bacterial recovery for any tested species, with complete eradication in all replicates. Conclusions: These results support the use of antibiotic-eluting bioenvelopes as an effective strategy for preventing bacterial infections associated with CIED. The modified AATCC-100 test and in vivo–in vitro correlation studies provide new tools for the evaluation of the antibiotic activity of implantable biomaterials.

Background: The safety and cost of concomitant atrial fibrillation (AF) ablation and left atrial appendage occlusion (LAAO) procedure remain unknown. Objective: The study sought to determine real-world outcomes of AF patients who underwent LAAO with ablation. Methods: The National Inpatient Sample and International Classification of Diseases–Tenth Revision codes were used to identify patients who underwent LAAO with and without AF ablation during the years 2016-2022. The outcomes assessed included procedural complications and resource utilization. Results: LAAO with AF ablation was associated with a higher rate of overall complications (odds ratio [OR] 1.54, 95% confidence interval [CI] 1.37-1.74), major complications (OR 1.38, 95% CI 1.18-1.60), non-home discharge (OR 1.55, 95% CI 1.23-1.96), prolonged length of stay >1 day (OR 3.21, 95% CI 2.92-3.52), and increased hospitalization costs as defined by median cost >$25,926 (OR 19.42, 95% CI 16.21-23.25) when compared to LAAO alone after adjustment for potential confounding variables. Patients who underwent LAAO with ablation were also more likely to receive pacemaker implantation (3.6 % vs 0.2%, P < 0.001) and experience acute kidney injury (3.9% vs 2.1%, P < 0.001) and non-ST elevation myocardial infarction (3.7% vs 1.5%, P < 0.001). Conclusion: In a large, contemporary, real-world study of LAAO procedures in the United States, concomitant AF ablation was associated with a higher rate of overall and major complications and an increased resource utilization.

PURPOSE Although international medical graduates (IMGs) and Puerto Rican Medical Graduates (PRMGs) comprise an integral part of the health care workforce, these individuals, particularly women, frequently face numerous types of discrimination throughout medical training and independent practice. To our knowledge, we conducted the first cross-sectional study to understand the journeys and consequences of migration faced by IMGs and PRMGs in the US oncology workforce. METHODS We developed a cross-sectional, online survey consisting of 51 multiple choice and open-ended questions that captured demographic information, professional status, period of migration to the United States, location within the United States that participants migrated to, reasons for migration, cultural adaptation, experiences of discrimination during training, and overall professional experiences in the United States. RESULTS The majority of participants cited better education, professional gains, and a lack of opportunities in participants' home country as primary reasons for migration to the United States. However, most participants, particularly women, experienced staunch assimilation to fit the mold of professional American standards; women were also particularly likely to report experiences of racial/ethnic, language, and gender discrimination during oncology training in the United States, which only marginally improved during independent practice. Despite such discrimination, most participants reported excellent professional satisfaction during training and independent practice, although only moderate personal satisfaction. Most participants decided to stay in the United States, citing reasons pertaining to enhanced professional opportunities, whereas those that returned home valued reasons relating to family and quality of life. CONCLUSION Our sobering findings underscore the need for institutional enforcement of an inclusive environment encompassing cultural humility, enactment of programs addressing barriers to socialization, immigration laws, and financial support, creation of IMG-specific support networks, and the sponsorship and promoting of minority women physicians.

ImportanceImmune checkpoint inhibitors (ICIs) have been approved for treatment of microsatellite instable (MSI-H) metastatic colorectal cancer (mCRC), but factors associated with receipt and efficacy of ICIs in routine clinical practice remain largely unknown.ObjectiveTo identify factors associated with receipt of ICIs and associated survival outcomes among patients with mCRC in routine clinical practice.Design, Setting, and ParticipantsThis population-based cohort study used deidentified data from a nationwide electronic health record–derived database to include 18 932 patients diagnosed with mCRC between January 2013 and June 2019. Population-based patients were diagnosed with de novo mCRC and had at least 2 documented clinical visits on or after the date of diagnosis. The study analyses were performed between September 2020 and April 2021.ExposurePatients received ICI therapy and/or chemotherapy as part of a systemic treatment for mCRC.Main Outcomes and MeasuresThe outcomes were receipt of ICI therapy, overall survival (OS), and time to treatment discontinuation (TTD).ResultsIn this cohort study of 18 932 patients diagnosed with mCRC (10 537 [55.7%] male; 546 [2.9%] Asian, 2005 [10.6%] Black or African American, 1674 [8.8%] Hispanic, 12 338 [65.2%] White, 4043 [21.4%] unknown race or ethnicity; median [IQR] age at metastatic diagnosis, 64.6 [55.0-73.3] years), patients with MSI-H tumors had a significantly higher probability of receiving ICIs than those with microsatellite stable (MSS) tumors (odds ratio [OR], 22.66 [95% CI, 17.30-29.73]; P &amp;lt; .001), whereas patients initially diagnosed with synchronous mCRC had significantly lower odds of receiving ICIs than patients with metachronous mCRC (OR, 0.57 [95% CI, 0.45-0.73]; P &amp;lt; .001). Patients with MSI-H tumors who received ICIs as first line of therapy had significantly longer OS than those receiving chemotherapy only (HR, 0.37 [95% CI, 0.25-0.56]; P &amp;lt; .001). Among patients with MSS tumors, ICI-based therapy was associated with significantly longer OS for patients with high albumin level (vs low: HR, 0.28 [95% CI, 0.18-0.45]; P &amp;lt; .001) and antibiotic use (vs nonuse: HR, 0.43 [95% CI, 0.27-0.67]; P &amp;lt; .001), but a significantly shorter OS for patients with synchronous mCRC (vs metachronous: HR, 1.90 [95% CI, 1.24-2.89]; P = .003). In addition, 29 out of 235 patients with MSS tumors (12.3%) experienced durable responses on ICI-based therapy. Similar patterns of associations with TTD were observed.Conclusions and RelevanceIn this cohort study of patients with mCRC, clinical characteristics were associated with different survival outcomes in patients treated with ICI-based therapy, with important clinical implications for patients with MSS tumors who are generally unresponsive to immunotherapy.

Background and Aims: Among those with primary sclerosing cholangitis (PSC), perihilar cholangiocarcinoma (pCCA) is often diagnosed at a late stage and is a leading source of mortality. Detection of pCCA in PSC when curative action can be taken is challenging. Our aim was to create a deep learning model that analyzed MRI to detect early-stage pCCA and compare its diagnostic performance with expert radiologists. Approach and Results: We conducted a multicenter, international, retrospective cohort study involving adults with large duct PSC who underwent contrast-enhanced MRI. Senior abdominal radiologists reviewed the images. All patients with pCCA had early-stage cancer and were registered for liver transplantation. We trained a 3D DenseNet-121 model, a form of deep learning, using MRI images and assessed its performance in a separate test cohort. The study included 398 patients (training cohort n=150; test cohort n=248). pCCA was present in 230 individuals (training cohort n=64; test cohort n=166). In the test cohort, the respective performances of the model compared to the radiologists were: sensitivity 87.9% versus 50.0%, p <0.001; specificity 84.1% versus 100.0%, p <0.001; area under receiving operating curve 86.0% versus 75.0%, p <0.001. Even when a mass was absent, the model had a higher sensitivity for pCCA than radiologists (91.6% vs. 50.6%, p <0.001) and maintained good specificity (84.1%). Conclusions: The 3D DenseNet-121 MRI model effectively detects early-stage pCCA in PSC patients. Compared to expert radiologists, the model missed fewer cases of cancer.

Background Intolerance of Uncertainty (IU) has never been explored in functional motor disorder (FMD) or any functional neurological disorder but perceptions of control are theoretically relevant. Objective To evaluate if IU changes in people with FMD completing intensive 1-week motor retraining treatment, and if IU change associates with outcome. Methods A consecutive cohort of 45 FMD patients completed a 1-week intensive outpatient motor retraining treatment. At program beginning and end, patients self-rated IU using the Intolerance of Uncertainty Scale-12 (IUS-12) and four functional impairment measures. Paired t-tests analyzed program changes in IU and functional outcomes. Linear regressions analyzed association strength between IU change and outcome. Results IU improved with FMD treatment (p < 0.001). Pre- to post-treatment IU was improved in 32/45 (71%), stable in 5/45 (11%), and worsened in 8/45 (18%). Age, symptom duration, and FMD phenotype did not predict IU improvement. Self-rated function improved across measures with treatment (p < 0.001). Program change in IU positively predicted outcome on 3 of 4 measures. Conclusions IU improves with FMD rehabilitation, even without explicit psychological focus of treatment, regardless of age or FMD phenotype. Improving IU associates with positive FMD treatment outcomes suggesting an important treatment target in FMD.

Background: Many surgeons recommend weight loss for patients with obesity before total joint arthroplasty (TJA), but few studies have evaluated weight loss interventions. This study compared weight loss using a remote dietitian and a mobile application (app) with weight loss using standard care for patients with severe obesity before TJA. Methods: This multicenter randomized controlled trial included 60 subjects with a body mass index (BMI) of 40 to 47 kg/m 2 who had been scheduled for primary total hip or knee arthroplasty from September 2019 to January 2023. The mean age was 61 years, 67% were women, and the mean BMI was 44 kg/m 2 . The control subjects (n = 29) received standard care; the intervention subjects (n = 31) completed video calls with dietitians and used a mobile app for 12 weeks preoperatively. Weights and surveys were collected at baseline and 12 weeks, with 87% follow-up. Weight loss, patient-reported outcomes, complications, revisions, and reoperations were compared. The mean follow-up was 1.8 years. Results: The intervention subjects lost more weight (−4.1 versus −2.1 kg, p = 0.22) and had larger decreases in BMI (−1.4 versus −0.9 kg/m 2 , p = 0.36 than the controls, but not significantly so. The intervention subjects had higher odds of achieving a BMI of <40 kg/m 2 (odds ratio = 1.9, p = 0.44), but not significantly so. There were no significant differences in the mean change in the Hip disability and Osteoarthritis Outcome Score, the Knee injury and Osteoarthritis Outcome Score, or the Lower Extremity Activity Scale score. At baseline, only 11% had seen a dietitian in the last 3 months. Most subjects (83%) felt that video calls were helpful. There were no differences in complications between the groups; there was a patellar fracture in the control group and a deep venous thromboembolism in the intervention group. Conclusions: A preoperative weight loss intervention using a dietitian and a mobile app was feasible and viewed favorably among patients. Remote dietitians and mobile apps may address gaps in access to obesity treatment before TJA. While the intervention subjects lost more weight and were more likely to achieve a BMI of <40 kg/m 2 , the differences were not significant. More intensive interventions may be needed to achieve enough weight loss for clinically important improvements in TJA. Level of Evidence: Therapeutic Level I . See Instructions for Authors for a complete description of levels of evidence.

Understanding the imaging appearance of autoimmune disorders of the liver and biliary tract is important to guide further workup, suggest a particular diagnosis, monitor for disease progression or response to treatment, and evaluate for complications.