Citations

Objective: Investigate the performance of multiparametric MRI radiomic features, alone or combined with current standard-of-care methods, for pulmonary nodule classification. Assess the impact of segmentation variability on feature reproducibility and reliability. Methods: Radiomic features were extracted from 74 pulmonary nodules of 68 patients who underwent nodule resection or biopsy after MRI exam. The MRI features were compared with histopathology and conventional quantitative imaging values (maximum standardized uptake value [SUVmax] and mean Hounsfield unit [HU]) to determine whether MRI radiomic features can differentiate types of nodules and associate with SUVmax and HU using Wilcoxon rank sum test and linear regression. Diagnostic performance of features and four machine learning (ML) models were evaluated with area under the receiver operating characteristic curve (AUC) and 95% confidence intervals (CIs). Concordance correlation coefficient (CCC) assessed the segmentation variation impact on feature reproducibility and reliability. Results: Elevn diffusion-weighted features distinguished malignant from benign nodules (adjusted p < 0.05, AUC: 0.73–0.81). No features differentiated cancer types. Sixty-seven multiparametric features associated with mean CT HU and 14 correlated with SUVmax. All significant MRI features outperformed traditional imaging parameters (SUVmax, mean HU, apparent diffusion coefficient [ADC], T1, T2, dynamic contrast-enhanced imaging values) in distinguishing malignant from benign nodules with some achieving statistical significance (p < 0.05). Adding ADC and smoking history improved feature performance. Machine learning models demonstrated strong performance in nodule classification, with extreme gradient boosting (XGBoost) having the highest discrimination (AUC = 0.83, CI=[0.727, 0.932]). We found good to excellent inter- and intrareader feature reproducibility and reliability (CCC≥0.80). Conclusion: Eleven MRI radiomic features differentiated malignant from benign lung nodules, outperforming traditional quantitative methods. MRI radiomic ML models demonstrated good nodule classification performances with XGBoost superior to three others. There was good to excellent inter- and intrareader feature reproducibility and reliability. Advances in knowledge: Our study identified MRI radiomic features that successfully differentiated malignant from benign lung nodules and demonstrated high performance of our MR radiomic feature-based ML models for nodule classification. These new findings could help further establish thoracic MRI as a non-invasive and radiation-free alternative to standard practice for pulmonary nodule assessment.

PURPOSE To describe a newly established international registry recruiting diverse patients with advanced prostate cancer across academic and community practices to address unmet needs in this population. PATIENTS AND METHODS Initiated in 2017, IRONMAN (International Registry for Men with Advanced Prostate Cancer) is a prospective cohort of patients with advanced prostate cancer. The study will enroll 5,000 patients with metastatic hormone-sensitive prostate cancer (mHSPC) or castration-resistant prostate cancer (CRPC), recruited from Australia, the Bahamas, Barbados, Brazil, Canada, Ireland, Jamaica, Kenya, Nigeria, Norway, South Africa, Spain, Sweden, Switzerland, the United Kingdom, and the United States. The study is collecting datatypes to study variation in care and treatment of advanced prostate cancer across countries and across academic, community-based, and government practices with a focus on clinical outcomes, patient-reported outcomes, epidemiologic data, biologic subtypes, and clinician questionnaires. RESULTS Through July 2022, 2,682 eligible patients were enrolled in 11 of 12 active countries. Sixty-six percent of patients have mHSPC, and 34% have CRPC. On the basis of self-report, 11% of patients are Black and 9% are Hispanic. Five Veterans Affairs Medical Centers are enrolling patients. Globally, 23% of patients report being veterans of military service. CONCLUSION To our knowledge, this is the first international cohort of people newly diagnosed with advanced prostate cancer designed to describe variations in patient management, experiences, and outcomes. IRONMAN aims to identify optimal treatment sequences to improve survival, understand patient-reported outcomes, and explore novel biomarkers to understand treatment resistance mechanisms. Insights from IRONMAN will inform and guide future clinical management of people with mHSPC and CRPC. This cohort study will provide real-world evidence to facilitate a better understanding of the survivorship of people with advanced prostate cancer.

Abstract Extracellular vesicles have emerged as a less-invasive nano-tool for discovering biomarkers of Alzheimer’s disease and related dementia. Here, we analysed different neuron-enriched extracellular vesicles from plasma to predict response and molecular mechanisms of ketogenic diet’s efficacy in mild cognitive impairment participants. The study was a randomized crossover design in which cognitively normal and mild cognitive impairment participants consumed a modified Mediterranean-ketogenic diet or American Heart Association diet for 6 weeks, followed by other diet after washout. L1 cell adhesion molecule, synaptophysin and neural cell adhesion molecule surface markers were used to enrich for neuron-secreted small extracellular vesicles (sEVL1CAM, sEVSYP and sEVNCAM). For the first time, we have presented multiple evidences, including immunogold labelling/transmission electron microscopy, clusters of differentiation 63-ELISA-based assay, confocal microscopy fluorescent images and flow cytometry data confirming the presence of L1 cell adhesion molecule on the surface of sEVL1CAM, validating purity and relative abundance of sEVL1CAM in the plasma. Cargo analysis of sEVL1CAM showed that modified Mediterranean-ketogenic diet intervention reduces amyloid beta 1–42 (50.3%, P = 0.011), p181-tau (34.9%, P = 0.033) and neurofilament light (54.2%, P = 0.020) in mild cognitive impairment participants. Moreover, sEVL1CAMshowed better sensitivity compared with CSF in analysing increased glutamate (6-folds, P &lt; 0.0001) from mild cognitive impairment participants following modified Mediterranean-ketogenic diet intervention. sEVL1CAM characterization also suggested that modified Mediterranean-ketogenic diet differentially targets the expression of various glutamate receptors—glutamate receptor ionotropic NMDA1, glutamate receptor ionotropic NMDA2A, glutamate receptor ionotropic NMDA2B and glutamate receptor ionotropic AMPA type subunit 1. Importantly, these sEVL1CAM measures strongly correlated with corresponding clinical CSF biomarkers (neurogranin, amyloid beta 1–42, neurofilament light and tau). Furthermore, sEVL1CAM were loaded with less advanced glycation endproducts and exhibited anti-inflammatory activity following modified Mediterranean-ketogenic diet intervention. Most importantly, the expression of monocarboxylate transporter 2 on the surface of sEVL1CAM predicted the amyloid beta 1–42 response to modified Mediterranean-ketogenic diet intervention (area under the curve = 0.87, P = 0.0044) and offered a novel screening tool to identify participants responsive to this dietary intervention. Finally, sEVL1CAM, sEVSYP and sEVNCAM showed significantly high concordance in analysing amyloid beta 1–42 (Pearson correlation coefficient ≥ 0.63, P &lt; 0.01) and neurofilament light (Pearson correlation coefficient ≥ 0.49, P &lt; 0.05). Together, small extracellular vesicles in plasma offers promise in assessing the efficacy of dietary/therapeutic intervention against mild cognitive impairment/Alzheimer’s disease.

Abstract Introduction Pericardial effusion (PE) in patients with infective endocarditis (IE) has been shown to be an independent risk factor for severe complications, however no significant association with mortality has been established. Our study aims to study the significance of pericardial effusion in patients with IE. Methods We performed a retrospective analysis using the United States National Inpatient Sample (NIS) database to identify all the hospital admissions with IE using ICD 10 codes and divided them into two groups based on the presence of PE. The outcomes of interest were in-hospital mortality, in-hospital complications, need for cardiac surgery, and length of stay (LOS). Results A total of 381,300 patients were hospitalized from 2016 to 2019 with IE, of whom 10,370 developed PE. Mean age of patients in the PE group was 51 years and in non-PE group was 61 years with males and Caucasian race being predominant in both groups. PE group had higher rates of in-hospital death (12.7% vs 9%, P≤0.001) and longer in-hospital stay (12 days vs 7 days, P≤0.001) compared to non-PE group. The rates of cardiac surgery were higher in PE group (26.1% vs 8.4%, P≤0.001). The rates of heart failure, heart block, renal failure, cardiogenic shock, and embolic stroke were higher in PE group [Table 1]. Conclusion Our study shows that presence of PE in patients with IE is a predictor for in-hospital mortality, length of stay, and need for cardiac surgery. Also, these patients are at higher risk for heart failure, heart block, cardiogenic shock and embolic stroke. Funding Acknowledgement Type of funding sources: None.

Background Rotational and orbital coronary atherectomy (CA) are commonly utilized to treat complex calcified coronary lesions. We conducted a meta-analysis to evaluate sex differences in procedural complications and clinical outcomes after CA. Methods PubMed, Google Scholar, and Cochrane databases were searched for all studies comparing sex differences in procedural and clinical outcomes following CA. The outcomes of interest were procedural complications (coronary dissection, stroke, major bleeding, coronary perforation, cardiac tamponade, and slow or no flow in target vessel) and the clinical outcomes (including early mortality, mid-term all-cause mortality, stroke, myocardial infarction, and target vessel revascularization). Pooled risk ratios (RRs) with their corresponding 95% confidence intervals (CIs) were calculated using the Mantel–Haenszel random-effects model. Results Six observational studies with 3517 patients (2420 men and 1035 women) were included in this meta-analysis. While there was no significant difference in the early mortality (RR, 1.14; 95% CI, 0.37–3.53; P = 0.83) between men and women, at a mean follow-up of 2.9 years, all-cause mortality was significantly higher in women (RR, 1.29; 95% CI, 1.11–1.49; P = 0.0009). Women had an increased risk of procedure-related stroke (RR, 3.98; 95% CI, 1.06–14.90; P = 0.04), coronary dissection (RR, 2.10; 95% CI, 1.23–3.58; P = 0.006), and bleeding (RR, 2.26; 95% CI, 1.30–3.93; P = 0.004), whereas the rates of coronary perforation, cardiac tamponade, and the risk of slow or no flow in the revascularized artery were similar in both. Conclusion In our analysis, women undergoing CA are at increased risk of mid-term mortality and procedure-related complications including stroke, coronary dissection, and major bleeding.

Hepatocellular carcinoma (HCC) is one of the leading indications for liver transplantation and has been the treatment of choice due to the oncologic benefit for patients with advanced chronic liver disease (AdvCLD) and small tumors for the last 25 years. For HCC patients undergoing liver transplantation, alpha fetoprotein (AFP) has increasingly been applied as an independent predictor for overall survival, disease free recurrence, and waitlist drop out. In addition to static AFP, newer studies evaluating the AFP dynamic response to downstaging therapy show enhanced prognostication compared to static AFP alone. While AFP has been utilized to select HCC patients for transplant, despite years of allocation policy changes, the US allocation system continues to take a uniform approach to HCC patients, without discriminating between those with favorable or unfavorable tumor biology. We aim to review the history of liver allocation for HCC in the US, the utility of AFP in liver transplantation, the implications of weaving AFP as a biomarker into policy. Based on this review, we encourage the US transplant community to revisit its HCC organ allocation model, to incorporate more precise oncologic principles for patient selection, and to adopt AFP dynamics to better stratify waitlist dropout risk.

ABSTRACT EUS-guided liver biopsy (EUS-LB) has gained momentum in recent years, especially with availability of newer needle designs. Given the emerging comparative data on EUS-LB with second-generation needles and percutaneous LB (PC-LB), we conducted a systematic review and meta-analysis to compare the safety and efficacy of the two techniques. We searched multiple databases from inception through November 2021 to identify studies comparing outcomes of EUS-LB and PC-LB. Pooled estimates were calculated using a random-effects model, and the results were expressed in terms of pooled proportions and odds ratio (OR) along with relevant 95% confidence intervals (CIs). Five studies with 748 patients were included in the final analysis. EUS-LB was performed in 276 patients and PC-LB in 472 patients. Across all studies, PC-LB had an overall higher diagnostic accuracy than EUS-LB, 98.6% confidence interval (CI: 94.7–99.7) versus 88.3% (49.6–98.3), OR: 1.65, P = 0.04. On assessing data from randomized controlled trials, there was no difference between the two. While pooled diagnostic adequacy and overall adverse events were not significantly different between PC-LB and EUS-LB, the former was superior in terms of the mean number of complete portal tracts (CPT) and total specimen length. PC-LB and EUS-LB produce similar results. PC-LB allows obtaining longer samples and more CPT. Further studies are needed to see if these trends hold up as more providers begin to perform EUS-LB.