Volumetric Analysis: Effect on Diagnosis and Management of Indeterminate Solid Pulmonary Nodules in Routine Clinical Practice.

OBJECTIVE: To evaluate the effect of volumetric analysis on the diagnosis and management of indeterminate solid pulmonary nodules in routine clinical practice. METHODS: This was a retrospective study with 107 computed tomography (CT) cases of solid pulmonary nodules (range, 6-15 mm), 57 pathology-proven malignancies (lung cancer, n = 34; metastasis, n = 23), and 50 benign nodules. Nodules were evaluated on a total of 309 CT scans (average number of CTs/nodule, 2.9 [range, 2-7]). CT scans were from multiple institutions with variable technique. Nine radiologists (attendings, n = 3; fellows, n = 3; residents, n = 3) were asked their level of suspicion for malignancy (low/moderate or high) and management recommendation (no follow-up, CT follow-up, or care escalation) for baseline and follow-up studies first without and then with volumetric analysis data. Effect of volumetry on diagnosis and management was assessed by generalized linear and logistic regression models. RESULTS: Volumetric analysis improved sensitivity (P = 0.009) and allowed earlier recognition (P < 0.05) of malignant nodules. Attending radiologists showed higher sensitivity in recognition of malignant nodules (P = 0.03) and recommendation of care escalation (P < 0.001) compared with trainees. Volumetric analysis altered management of high suspicion nodules only in the fellow group (P = 0.008). κ Statistics for suspicion for malignancy and recommended management were fair to substantial (0.38-0.66) and fair to moderate (0.33-0.50). Volumetric analysis improved interobserver variability for identification of nodule malignancy from 0.52 to 0.66 (P = 0.004) only on the second follow-up study. CONCLUSIONS: Volumetric analysis of indeterminate solid pulmonary nodules in routine clinical practice can result in improved sensitivity and earlier identification of malignant nodules. The effect of volumetric analysis on management recommendations is variable and influenced by reader experience.

Evaluation of responses to cardiac imaging questions by the artificial intelligence large language model ChatGPT.

PURPOSE: To assess ChatGPT's ability as a resource for educating patients on various aspects of cardiac imaging, including diagnosis, imaging modalities, indications, interpretation of radiology reports, and management. METHODS: 30 questions were posed to ChatGPT-3.5 and ChatGPT-4 three times in three separate chat sessions. Responses were scored as correct, incorrect, or clinically misleading categories by three observers-two board certified cardiologists and one board certified radiologist with cardiac imaging subspecialization. Consistency of responses across the three sessions was also evaluated. Final categorization was based on majority vote between at least two of the three observers. RESULTS: ChatGPT-3.5 answered seventeen of twenty eight questions correctly (61 %) by majority vote. Twenty one of twenty eight questions were answered correctly (75 %) by ChatGPT-4 by majority vote. Majority vote for correctness was not achieved for two questions. Twenty six of thirty questions were answered consistently by ChatGPT-3.5 (87 %). Twenty nine of thirty questions were answered consistently by ChatGPT-4 (97 %). ChatGPT-3.5 had both consistent and correct responses to seventeen of twenty eight questions (61 %). ChatGPT-4 had both consistent and correct responses to twenty of twenty eight questions (71 %). CONCLUSION: ChatGPT-4 had overall better performance than ChatGTP-3.5 when answering cardiac imaging questions with regard to correctness and consistency of responses. While both ChatGPT-3.5 and ChatGPT-4 answers over half of cardiac imaging questions correctly, inaccurate, clinically misleading and inconsistent responses suggest the need for further refinement before its application for educating patients about cardiac imaging.

Fertility Rate and Sperm DNA Fragmentation Index following Varicocelectomy in Primary Infertile Men with Clinical Varicocele: A Prospective Longitudinal Study.

BACKGROUND: Varicocele is one of the most common treatable causes of male infertility, and its treatment may be beneficial for fertility. This study aimed to evaluate fertility rate and DNA fragmentation index (DFI) following varicocelectomy in primary infertile men with clinical varicocele. MATERIALS AND METHODS: This prospective longitudinal study was conducted on primary infertility men, in a tertiary center from December 2018 to December 2019 with one-year follow-up. Data of the semen parameters, DFI (%), and fertility rate were gathered before, as well as 4 and 12 months after undergoing varicocelectomy. For data analysis, SPSS software and analytical test were used. RESULTS: Out of 76 patients who were analyzed, 22 (29%) became fertile and 54 (71%) remained infertile. Semen parameters and DFI (%) were improved significantly following varicocelectomy (P<0.001). Smoking history, occupational heated exposure, body mass index (BMI), and infertility duration were determined as predictors associated with fertility status (P<0.05). CONCLUSION: Although varicocele repair improved the DFI, the fertility rate was achieved in less than one-third of patients; it seems that the other parameters, such as the history of smoking, occupational heated exposure, overweight, and duration of infertility should be considered as predictors of fertility status, in primary infertile men who are a candidate for varicocelectomy.

Evaluation of the frequency of metabolic syndrome and assessment of cardiometabolic index among men with erectile dysfunction: a prospective cross-sectional study.

Purpose: Recently, an association has been observed between metabolic syndrome and erectile dysfunction (ED). This study aimed to evaluate the cardiometabolic index (CMI) in patients with ED. Methods: This cross-sectional study was performed on 144 patients with ED who were referred to a urology clinic in Rasht, Iran, from 2019 to 2021. Metabolic syndrome was evaluated according to National Cholesterol Education Program Expert Panel (NCEP) and Adult Treatment Panel III (ATP III) criteria which are considered three positive criteria from five. Also, the ED severity was classified as weak, moderate, and severe based on the five-item International Index of Erectile Function (IIEF5) questionnaire. Results: The mean age of participants was 53.46 ± 10.58 years. 56.9% had abdominal obesity, 48.6% had hypertriglyceridemia, 34.7% had low HDL-C, 55.6% had hypertension and 56.9% had elevated fasting blood sugar (FBS). 43.8% had diabetes and 13.2% had cardiovascular disease. The mean CMI was 2.51 ± 1.57. The prevalence of metabolic syndrome was 50.7%. Body mass index (BMI) was significantly associated with metabolic syndrome and CMI (P = 0.001). The severity of ED had a significant relationship with high FBS in patients. CMI and components of abdominal obesity, hypertriglyceridemia, and low HDL-C had no statistically significant relationship with ED. However, the incidence of moderate and severe ED increased with increasing the number of metabolic syndrome components. Conclusion: ED is not significantly associated with metabolic syndrome and CMI, however, the severity of this disorder increases with increasing the number of components of metabolic syndrome.

Oncologic Outcomes and Predictors in Patients with Stage PT3aNxM0 Renal Cell Carcinoma Following Radical Nephrectomy.

OBJECTIVE: The objective of this study is to evaluate oncologic outcomes in patients with PT3aNxM0 renal cell carcinoma following radical nephrectomy and also to investigate these outcomes in each specific subgroup of PT3a renal cell carcinoma and to determine predictive factors of recurrence, metastasis, and mortality. MATERIALS AND METHODS: In this retrospective cohort study, we included 94 patients with stage PT3a renal cell carcinoma who had undergone radical nephrectomy from 2011 to 2016. All patients who had survived had at least 60 months of follow-up. Demographic and clinical data were collected; univariable and multivariable Cox proportional hazards regression analysis was performed to identify predictors of metastasis, recurrence, and cancer-related mortality. RESULTS: Patients' mean age was 58.07 ± 11.17 years and 62/94 (65.9%) were male. The mean follow-up time was 48.1 ± 25.5 months. Forty-three patients (45.7%) had experienced cancer-related mortality. The mean cancer-specific survival time was 60.94 months and the mean metastasis-free and local recurrence-free survival times were 57.06 and 88.72 months, respectively. Metastasis and local recurrence had occurred in 42 (44.6%) and 4 (4.25%) patients, respectively. After performing multivariate analysis, higher nuclear Fuhrman's grade (P < .001) and simultaneous involvement of the renal vein and perinephric fat (P < .001) were found to be predictive of cancerrelated mortality. Advanced nuclear Fuhrman's grade was the only independent predictor of metastasis (P=.001). CONCLUSION: Based on our results, advanced nuclear Fuhrman's grade and sarcomatoid change can independently predict mortality in patients with stage PT3aNxM0 renal cell carcinoma. Close monitoring during the follow-up period is recommended in patients with the mentioned risk factors.

Natural History of Lung Hernias.

BACKGROUND: Lung herniation has been described in case reports or series. There are scare data in the form of original research studies to systematically evaluate this condition. OBJECTIVE: Our aim was to evaluate lung hernias with a focus on their natural history. METHODS: This is a retrospective study at our institution of patients who were found to have lung herniation on imaging between September 2010 and November 2022. Electronic medical record review was performed to extract clinical information regarding patients. Computed tomographic imaging was used to evaluate hernia size and size progression over time with a median follow-up time of 3.8 years. RESULTS: Thirty-eight patients were eligible for analysis. Majority of patients were overweight or obese (31/38), smokers (31/38), had prior thoracic surgery (30/38), and were asymptomatic (33/38). Twenty of 38 patients had stability in hernia size, 12 of 38 patients had hernia size progression, and 6 of 38 patients showed hernia size regression. Younger age was found to be predictive of hernia size progression with age of 60 years being the cut-off for its prediction. CONCLUSION: Lung hernias typically either remain stable in size or show size progression. Younger age (60 years cut-off) was found to be predictive of size progression. This is the largest systematic investigation at a medical institution to the best of our knowledge of lung hernias which used computed tomographic imaging to follow up lung hernias. Further information could be given to patients with this condition and to clinicians for potential management guidance.

Imaging of lung cancer.

Lung cancer is the leading cause of cancer-related mortality globally. Imaging is essential in the screening, diagnosis, staging, response assessment, and surveillance of patients with lung cancer. Subtypes of lung cancer can have distinguishing imaging appearances. The most frequently used imaging modalities include chest radiography, computed tomography, magnetic resonance imaging, and positron emission tomography. Artificial intelligence algorithms and radiomics are emerging technologies with potential applications in lung cancer imaging.

Ferumoxytol-enhanced MR venography for diagnosis of venous thoracic outlet syndrome.

Venous thoracic outlet syndrome commonly results in arm swelling and pain as the subclavian vein is obstructed within the thoracic inlet. We report the use of ferumoxytol-enhanced contrast MRI in the diagnosis of venous thoracic outlet syndrome in a male adolescent. In this patient who presented with right upper extremity thrombosis, ferumoxytol-enhanced MRI of the chest was able to show both chronic subclavian vein thromboses and dynamic occlusion of the subclavian veins with arm abduction consistent with Paget-Schroetter syndrome.

Nonsurgical Therapy for Early-Stage Lung Cancer.

Treatment options for medically inoperable, early-stage non-small cell lung cancer (NSCLC) include stereotactic ablative radiotherapy (SABR) and percutaneous image guided thermal ablation. SABR is delivered over 1-5 sessions of highly conformal ablative radiation with excellent tumor control. Toxicity is depending on tumor location and anatomy but is typically mild. Studies evaluating SABR in operable NSCLC are ongoing. Thermal ablation can be delivered via radiofrequency, microwave, or cryoablation, with promising results and modest toxicity. We review the data and outcomes for these approaches and discuss ongoing studies.

Osimertinib in NSCLC With Atypical EGFR-Activating Mutations: A Retrospective Multicenter Study.

Introduction: EGFR mutations drive a subset of NSCLC. Patients harboring the common EGFR mutations, deletion of exon 19 and L858R, respond well to osimertinib, a third-generation tyrosine kinase inhibitor. Nevertheless, the effect of osimertinib on NSCLC with atypical EGFR mutations is not well described. This multicenter retrospective study evaluates the efficacy of osimertinib among patients with NSCLC harboring atypical EGFR mutations. Methods: Patients with metastatic NSCLC treated with osimertinib, harboring at least one atypical EGFR mutation, excluding concurrent deletion of exon 19, L858R, or T790M mutations, from six U.S. academic cancer centers were included. Baseline clinical characteristics were collected. The primary end point was the time to treatment discontinuation (TTD) of osimertinib. Objective response rate by the Response Evaluation Criteria in Solid Tumors version 1.1 was also assessed. Results: A total of 50 patients with NSCLC with uncommon EGFR mutations were identified. The most frequent EGFR mutations were L861Q (40%, n = 18), G719X (28%, n = 14), and exon 20 insertion (14%, n = 7). The median TTD of osimertinib was 9.7 months (95% confidence interval [CI]: 6.5-12.9 mo) overall and 10.7 months (95% CI: 3.2-18.1 mo) in the first-line setting (n = 20). The objective response rate was 31.7% (95% CI: 18.1%-48.1%) overall and 41.2% (95% CI: 18.4%-67.1%) in the first-line setting. The median TTD varied among patients with L861Q (17.2 mo), G719X (7.8 mo), and exon 20 insertion (1.5 mo) mutations. Conclusions: Osimertinib has activity in patients with NSCLC harboring atypical EGFR mutations. Osimertinib activity differs by the type of atypical EGFR-activating mutation.

Intravesical Botulinum toxin-A injection in pediatric overactive neurogenic bladder with Detrusor overactivity: Radiologic and clinical outcomes.

OBJECTIVE: The neurogenic bladder is one of the most serious and painful disorders seen in pediatric urology clinics. The upper urinary tract can be impaired by increased bladder pressure. Botulinum toxin-A (BTX-A) is one of the new therapeutic interventions for this disease. Thus, this research was designed to determine the clinical as well as radiological outcomes intravesical BTX-A injections in patients with overactive neurogenic bladder with Detrusor over activity. PATIENTS AND METHODS: From March 2012 to March 2019, this cohort study was conducted at Shahid Labbafinejad hospital in Tehran, Iran. Thirty-five pediatric patients with a neurogenic bladder and Detrusor overactivity who fulfilled the eligibility criteria received BTX-A injections. Demographic data, including spinal cord lesions or congenital malformations, upper and lower urinary tract nuclear scans, evidence of vesicoureteral reflux (VUR) and its severity, and hydronephrosis and 72 h voiding diary before and after intervention were all recorded. RESULTS: The mean ± standard deviation age of participants was 9.47 ± 4.61 years. After injection, nocturia and urination frequency as general symptoms of the overactive neurogenic bladder improved (p < 0.05). Also, the severity of hydronephrosis was decreased in 33% of patients following injection. In our study, 32 out of 35 patients had vesicoureteral reflux. Of those, there was complete resolution and downgrading of VUR in 17 (53.12%) and 13 (40.62%) respectively. CONCLUSION: In the evaluation of voiding cystourethrography (VCUG) before and after the injection, downgrading of VUR was seen in 53% of the cases. In the 99mTc-DMSA nuclear scan before and after the injection, the appearance of a new parenchymal scar and uptake reduction was not observed, which indicates the cessation of scar formation in all patients. Although Enuresis, Urgency, Frequency, Nocturia, and UUI significantly improved after injection.

Inter-observer variability of expert-derived morphologic risk predictors in aortic dissection.

OBJECTIVES: Establishing the reproducibility of expert-derived measurements on CTA exams of aortic dissection is clinically important and paramount for ground-truth determination for machine learning. METHODS: Four independent observers retrospectively evaluated CTA exams of 72 patients with uncomplicated Stanford type B aortic dissection and assessed the reproducibility of a recently proposed combination of four morphologic risk predictors (maximum aortic diameter, false lumen circumferential angle, false lumen outflow, and intercostal arteries). For the first inter-observer variability assessment, 47 CTA scans from one aortic center were evaluated by expert-observer 1 in an unconstrained clinical assessment without a standardized workflow and compared to a composite of three expert-observers (observers 2-4) using a standardized workflow. A second inter-observer variability assessment on 30 out of the 47 CTA scans compared observers 3 and 4 with a constrained, standardized workflow. A third inter-observer variability assessment was done after specialized training and tested between observers 3 and 4 in an external population of 25 CTA scans. Inter-observer agreement was assessed with intraclass correlation coefficients (ICCs) and Bland-Altman plots. RESULTS: Pre-training ICCs of the four morphologic features ranged from 0.04 (-0.05 to 0.13) to 0.68 (0.49-0.81) between observer 1 and observers 2-4 and from 0.50 (0.32-0.69) to 0.89 (0.78-0.95) between observers 3 and 4. ICCs improved after training ranging from 0.69 (0.52-0.87) to 0.97 (0.94-0.99), and Bland-Altman analysis showed decreased bias and limits of agreement. CONCLUSIONS: Manual morphologic feature measurements on CTA images can be optimized resulting in improved inter-observer reliability. This is essential for robust ground-truth determination for machine learning models. KEY POINTS: • Clinical fashion manual measurements of aortic CTA imaging features showed poor inter-observer reproducibility. • A standardized workflow with standardized training resulted in substantial improvements with excellent inter-observer reproducibility. • Robust ground truth labels obtained manually with excellent inter-observer reproducibility are key to develop reliable machine learning models.

Ultrasound-guided percutaneous nephrolithotomy in patients with retrorenal colon: a single-center experience.

BACKGROUND: Retrorenal colon is a risk factor for colonic injury during percutaneous nephrolithotomy (PCNL). Our aim in this study is to report the feasibility and outcomes of ultrasound-guided percutaneous nephrolithotomy in patients with preoperatively known retrorenal colon by cross-sectional imaging. METHODS: In this prospective study, all patients with large renal stones and retrorenal colon in preoperative cross-sectional imaging from September 2020 to January 2022 who were candidates for PCNL were enrolled. Percutaneous access was established by ultrasonography guidance by the freehand method with dilation of the tract by a combination of fluoroscopy and ultrasonography. RESULTS: Of the 1123 patients (Male = 760 and Female = 363) who underwent PCNL, 13 patients (Male = 6 and Female = 7) had retrorenal colon in the preoperative computed tomography. The series included two patients with malrotated kidneys. Complete stone clearance was achieved in 11 patients. Patients were followed up for at least 3 months. No serious postoperative complications were observed during follow-up. CONCLUSION: In selected patients and experienced hands, ultrasound-guided PCNL can be an alternative option for the treatment of patients with large renal stones who have retrorenal colon in cross-sectional imaging.

Radical cystectomy, bilateral lymphadenectomy and native ureteral ligation in a patient with history of kidney transplantation.

We reported radical cystectomy (RC), bilateral lymphadenectomy and orthotopic ileal neobladder reconstruction in a patient with history of kidney transplant. A 71-year-old man was referred to us with bladder tumor, elevated serum creatinine (1.9 mg/dl), hydroureteronephrosis in transplanted kidney and a 5-6-cm sessile mass in the right bladder wall with involvement of transplanted ureter orifice. The patient was candidate for RC. The native ureters were ligated permanently. Extended lymphadenectomy in left side and limited lymphadenectomy in right side were performed. The patient underwent ileal orthotopic neobladder reconstruction, and the graft ureter was reimplanted to ascending loop of the pouch with end-to-end anastomosis. In conclusion, bilateral lymphadenectomy is feasible in patients with a history of kidney transplantation during RC. Permanent ligation of native ureters is better to perform to reduce the time of surgery and prevent late probable morbidities due to uretero-intestinal reimplantation complications.

The Role of Deep Learning in Advancing Breast Cancer Detection Using Different Imaging Modalities: A Systematic Review.

Breast cancer is among the most common and fatal diseases for women, and no permanent treatment has been discovered. Thus, early detection is a crucial step to control and cure breast cancer that can save the lives of millions of women. For example, in 2020, more than 65% of breast cancer patients were diagnosed in an early stage of cancer, from which all survived. Although early detection is the most effective approach for cancer treatment, breast cancer screening conducted by radiologists is very expensive and time-consuming. More importantly, conventional methods of analyzing breast cancer images suffer from high false-detection rates. Different breast cancer imaging modalities are used to extract and analyze the key features affecting the diagnosis and treatment of breast cancer. These imaging modalities can be divided into subgroups such as mammograms, ultrasound, magnetic resonance imaging, histopathological images, or any combination of them. Radiologists or pathologists analyze images produced by these methods manually, which leads to an increase in the risk of wrong decisions for cancer detection. Thus, the utilization of new automatic methods to analyze all kinds of breast screening images to assist radiologists to interpret images is required. Recently, artificial intelligence (AI) has been widely utilized to automatically improve the early detection and treatment of different types of cancer, specifically breast cancer, thereby enhancing the survival chance of patients. Advances in AI algorithms, such as deep learning, and the availability of datasets obtained from various imaging modalities have opened an opportunity to surpass the limitations of current breast cancer analysis methods. In this article, we first review breast cancer imaging modalities, and their strengths and limitations. Then, we explore and summarize the most recent studies that employed AI in breast cancer detection using various breast imaging modalities. In addition, we report available datasets on the breast-cancer imaging modalities which are important in developing AI-based algorithms and training deep learning models. In conclusion, this review paper tries to provide a comprehensive resource to help researchers working in breast cancer imaging analysis.

Improved inter-residue contact prediction via a hybrid generative model and dynamic loss function.

Protein contact maps represent spatial pairwise inter-residue interactions, providing a protein's translationally and rotationally invariant topological representation. Accurate contact map prediction has been a critical driving force for improving protein structure determination. Contact maps can also be used as a stand-alone tool for varied applications such as prediction of protein-protein interactions, structure-aware thermal stability or physicochemical properties. We develop a novel hybrid contact map prediction model, CGAN-Cmap, that uses a generative adversarial neural network embedded with a series of modified squeeze and excitation residual networks. To exploit features of different dimensions, we introduce two parallel modules. This architecture improves the prediction by increasing receptive fields, surpassing redundant features and encouraging more meaningful ones from 1D and 2D inputs. We also introduce a new custom dynamic binary cross-entropy loss function to address the input imbalance problem for highly sparse long-range contacts in proteins with insufficient homologs. We evaluate the model's performance on CASP 11, 12, 13, 14, and CAMEO test sets. CGAN-Cmap outperforms state-of-the-art models, improving precision of medium and long-range contacts by at least 3.5%. As a direct assessment between our model and AlphaFold2, the leading available protein structure prediction model, we compare extracted contact maps from AlphaFold2 and predicted contact maps from CGAN-Cmap. The results show that CGAN-Cmap has a mean precision higher by 1% compared to AlphaFold2 for most ranges of contacts. These results demonstrate an efficient approach for highly accurate contact map prediction toward accurate characterization of protein structure, properties and functions from sequence.

Correlation of single-nucleotide polymorphism at interferon-gamma R1 (at Position - 56) in positive purified protein derivative health workers with COVID-19 infection.

Background: The aim of the present study was to investigate the susceptibility of purified protein derivative (PPD) plus health-care workers to SARS-CoV-2 (COVID-19). For this reason, single-nucleotide polymorphism (SNP) of interferon-gamma (IFN-γ) gene at position +2109 and IFN-γ receptor 1 (R1) at position -56 was assessed in PPD plus group before and after COVID-19 infection (2017-2018; 2020-2021). Methods: The selected study cases (n = 100) that were working in tuberculosis (TB) unite (5-10 years) with PPD positivity >15 mm (16-20 mm) were included in this investigation. Sampling was done twice, once before and after the COVID-19 pandemic. Group A contains 50 samples collected from the GenBank TB laboratory that belong to TB staff before the pandemic (2017-2018). The other sample (Group B; 2021) was collected from the same unite during the COVID-19 pandemic. The SNP in the IFN-γ gene (+2109; 670 bp) and IFN-γ R 1 (-56; 366 bp) was performed using a specific primer and the polymerase chain reaction products were digested using restriction enzyme Fau I and Bts I, respectively. Statistical analyses were used to obtain the frequency of alleles among all studied cases. The confidence intervals (CIs) and t-test were calculated using the SPSS and GraphPad Prism software. Results: In overall, the most frequent genotype in Group A was AA (41/50; 82%) and Group B was 76% (38/50) in position + 2109 (odds ratio [OR] = 0.69, 95% CI, 0.26-1.83, and P = 0.46). Although in position -56, the most frequent genotype in Group A was TT (35/50; 70%) which significantly was than Group B TT (15/50; 30%) (OR = 0.184, 95% CI, 0.78-0.43, and P = 0.00). The frequency of allele A was more in both groups at position + 2109 (OR = 0.815, 95% CI, 0.23-2.86, and P = 0.75), whereas the dominate allele at position -56 was T in Group A (OR = 1.37, 95% CI, 0.62-3.02, and P = 0.42). Conclusion: No significant differences were observed in + 2109 in genotype among Group A and B. The main differences were seen in IFN-γ R1 at position (-56) between Group A and B. Hence, the IFN-γ R1 may play important role in COVID-19 infection. However, more study is needed to clear the IFN-γ correlation to COVID-19 infection.

An 80-Year-Old Man with Ischemic Heart Disease Who Developed Thrombotic Thrombocytopenic Purpura Following Treatment with Ticagrelor.

BACKGROUND Thrombotic thrombocytopenic purpura (TTP) is associated with widespread microvascular thrombosis, low platelet count, and hemolysis. Ticagrelor is a relatively new agent which functions as a reversible inhibitor of the P2Y12 receptor working to prevent platelet aggregation and is used with or without aspirin in patients with acute coronary syndrome to reduce the risk of myocardial infarction and stroke. We describe the case of an 80-year-old man with ischemic heart disease who developed this rare and potentially fatal adverse reaction known as TTP following treatment with ticagrelor. CASE REPORT We report the case of an 80-year-old man who presented with an acute change in mental status 4 months after initiating ticagrelor following percutaneous coronary intervention. Laboratory testing on presentation revealed evidence of microangiopathic hemolytic anemia, thrombocytopenia, and elevated creatinine levels, suggestive of acute renal failure. The combination of his clinical symptoms and laboratory findings were concerning for TTP, likely secondary to ticagrelor use. The patient was treated with therapeutic plasma exchange, systemic steroids, and hemodialysis, which led to resolution of the hemolysis and recovery of renal function. CONCLUSIONS Although the association between ticagrelor and TTP is rare, early recognition of this life-threatening complication is essential to decrease morbidity and mortality associated with TTP. Since ticagrelor is now more commonly used, it is important that clinicians be aware of this complication.

Variation in the diversity of bacterial communities and potential sources of fecal contamination of beaches in the Huron to Erie corridor.

Understanding the diversity of bacteria and E.coli levels at beaches is important for managing health risks. This study compared temporal changes of the bacterial communities of Belle Isle Beach (Detroit, MI) and Sand Point Beach (Windsor, ONT), both located near the Lake St. Clair origin of the Detroit River. Water samples collected 4 days/week for 12 weeks in summer, were subjected to 16S rRNA analysis of amplicon sequencing and E. coli enumeration. Bacterial communities changed over time, as determined by cluster dendrogram analysis, exhibiting different communities in July and August than in June and different communities at the two beaches. After June, alpha diversity decreased and relative abundance of Enterobacter (Gammaproteobacteria) increased at Sand Point; whereas, Belle Isle maintained its alpha diversity and dominance by Betaproteobacteria and Actinobacteria. Contamination at both beaches is dominated by birds (23% to 50% of samples), while only ∼10% had evidence of human-associated bacteria. High E. coli at both beaches was often associated with precipitation. Nearshore sampling counts were higher than waist-deep sampling counts. Despite the dynamic changes in bacterial communities between the two beaches, this analysis based on 16S rRNA amplicon sequencing is able to provide information about bacterial types associated with high E. coli levels and to use bacterial sequences to more precisely determine sources and health relevance of contaminants.