Artificial neural networks analysis predicts long-term fistula function in hemodialysis patients following percutaneous transluminal angioplasty.

Kidney failure is particularly common in the United States, where it affects over 700,000 individuals. It is typically treated through repeated sessions of hemodialysis to filter and clean the blood. Hemodialysis requires vascular access, in about 70% of cases through an arteriovenous fistula (AVF) surgically created by connecting an artery and vein. AVF take 6 weeks or more to mature. Mature fistulae often require intervention, most often percutaneous transluminal angioplasty (PTA), also known as fistulaplasty, to maintain the patency of the fistula. PTA is also the first-line intervention to restore blood flow and prolong the use of an AVF, and many patients undergo the procedure multiple times. Although PTA is important for AVF maturation and maintenance, research into predictive models of AVF function following PTA has been limited. Therefore, in this paper we hypothesize that based on patient-specific information collected during PTA, a predictive model can be created to help improve treatment planning. We test a set of rich, multimodal data from 28 patients that includes medical history, AVF blood flow, and interventional angiographic imaging (specifically excluding any post-PTA measurements) and build deep hybrid neural networks. A hybrid model combining a 3D convolutional neural network with a multi-layer perceptron to classify AVF was established. We found using this model that we were able to identify the association between different factors and evaluate whether the PTA procedure can maintain primary patency for more than 3 months. The testing accuracy achieved was 0.75 with a weighted F1-score of 0.75, and AUROC of 0.75. These results indicate that evaluating multimodal clinical data using artificial neural networks can predict the outcome of PTA. These initial findings suggest that the hybrid model combining clinical data, imaging and hemodynamic analysis can be useful to treatment planning for hemodialysis. Further study based on a large cohort is needed to refine the accuracy and model efficiency

Acute Large Bowel Obstruction due to Pelvic Endometriosis: A Case Report

Endometriosis is one of the most common benign gynecological conditions with a prevalence of 6.6% to 16.2% among women of reproductive age in the United States. It is defined as the occurrence of hormone-responsive endometrial tissue outside of the uterine cavity. However, the pathophysiology of endometriosis is poorly understood. Intestinal endometriosis causing large bowel obstruction is rare despite being the second most common extragenital site of endometriotic implantation. In the adult population, intestinal endometriosis is a clinical challenge because it can be mistaken for other acute obstructive diseases, such as colorectal carcinoma. Computed tomography lacks specificity in the detection of bowel wall abnormalities that cause a large bowel obstruction, and endoscopy does not show an intraluminal mass. The gold standard diagnostic procedures are laparoscopy and biopsy, with laparoscopy used for surgical resection of the abnormal tissue if necessary

Inguinal Hernia Containing the Fallopian Tube and the Ovary in a Premature Infant: A Case Report

In pediatric patients, the pelvic and the abdominal contents of hernias of the canal of Nuck have increased risk of strangulation. Early diagnosis of these hernias with ultrasonography is important. We report a case of a hernia of the canal of Nuck presented as a left inguinal mass containing the ipsilateral ovary in a 26-day-old premature infant girl.&nbsp

Acute Large Bowel Obstruction due to Pelvic Endometriosis: A Case Report

Endometriosis is one of the most common benign gynecological conditions with a prevalence of 6.6% to 16.2% among women of reproductive age in the United States. It is defined as the occurrence of hormone-responsive endometrial tissue outside of the uterine cavity. However, the pathophysiology of endometriosis is poorly understood. Intestinal endometriosis causing large bowel obstruction is rare despite being the second most common extragenital site of endometriotic implantation. In the adult population, intestinal endometriosis is a clinical challenge because it can be mistaken for other acute obstructive diseases, such as colorectal carcinoma. Computed tomography lacks specificity in the detection of bowel wall abnormalities that cause a large bowel obstruction, and endoscopy does not show an intraluminal mass. The gold standard diagnostic procedures are laparoscopy and biopsy, with laparoscopy used for surgical resection of the abnormal tissue if necessary

Hemorrhagic Infarct of Torsed Ovary: A Case Report

Ovarian torsion, the twisting of the ovary on its supporting tissues, occurs primarily in premenopausal women, causing acute abdominal or pelvic pain. Without prompt diagnosis and surgical intervention, adnexal torsion may lead to ovarian infarction and a resulting reduction in fertility. Radiologic methodologies including ultrasound, color Doppler ultrasound, and magnetic resonance imaging (MRI) can play key roles in the diagnosis of this entity by allowing for the visualization of blood flow to the ovary

Contrast-enhanced ultrasound for hepatocellular carcinoma detection and diagnosis in the context of nonalcoholic fatty liver disease

The prevalence of nonalcoholic fatty liver disease (NAFLD) is increasing worldwide and is projected to become a major etiology of cirrhosis and hepatocellular carcinoma (HCC). HCC occurs more commonly in NAFLD patients who develop cirrhosis, though HCC is known to occur in the setting of noncirrhotic NAFLD as well. This is of particular importance given that the American College of Radiology (ACR) CT/MRI Liver Reporting and Data System (LI-RADS) algorithm may only be applied to a certain population of patients, and this population does not include those with noncirrhotic NAFLD. Conventional ultrasound (US) has long been in use for HCC surveillance, but contrast-enhanced US (CEUS) is a relatively newer modality, growing in use for assessment of liver lesions, and its use in HCC diagnosis has been formalized with CEUS LI-RADS. The use of US and CEUS in the assessment of liver lesions in NAFLD patients involves the consideration of certain particular nuances, and familiarity with these considerations will continue increasing in importance as the disease becomes more common

Quality improvement time-saving intervention to increase use of a clinical decision support tool to reduce low-value diagnostic imaging in a safety net health system

Importance Electronic health record (EHR) clinical decision support (CDS) tools can provide evidence-based feedback at the point of care to reduce low-value imaging. Success of these tools has been limited partly due to lack of engagement by busy clinicians.Objective Measure the impact of a time-saving quality improvement intervention to increase engagement with a CDS tool for low back pain imaging ordering.Design, setting and participants We conducted a quasi-experimental difference-in-differences analysis at (BLINDED), examining back pain imaging orders from 29 May 2015 to 07 January 2016. The intervention site was (BLINDED) Emergency Medicine/Urgent Care Center (n=5736) and control sites included all other (BLINDED) hospitals and clinics (n=1621). In May 2015, the Department of Health Services installed a CDS tool that triggered a survey when clinicians ordered an imaging test, generating an ‘appropriateness score’ based on the American College of Radiology guidelines. Clinicians often bypassed the tool, resulting in ‘unscored’ tests.Intervention To increase clinician engagement with the tool and decrease the rate of unscored imaging tests, a new policy was implemented at the intervention site on 15 August 2015. If clinicians completed the CDS survey and scored an appropriateness score >3, they could forego a previously mandatory telephone call for pre-imaging utilisation review with the radiology department.Main outcomes and measures We used EHR data to measure pre–post-intervention differences in: (1) percentage of unscored tests and (2) percentage of tests with high appropriateness scores (>7).Results Percentage of unscored tests decreased from 69.4% to 10.4% at the intervention site and from 50.6% to 34.8% at the control sites (between-group difference: −23.3%, p<0.001). Percentage of high scoring tests increased from 26.5% to 75.0% at the intervention site and from 17.2% to 22.7% at the control sites (between-group difference: 19%, p<0.001).Conclusion Workflow time-saving interventions may increase physician engagement with CDS tools and have potential to improve practice patterns

Gynecologic tumor board: a radiologist's guide to vulvar and vaginal malignancies.

Primary vulvar and vaginal cancers are rare female genital tract malignancies which are staged using the 2009 International Federation of Gynecology and Obstetrics (FIGO) staging. These cancers account for approximately 2,700 deaths annually in the USA. The most common histologic subtype of both vulvar and vaginal cancers is squamous cell carcinoma, with an increasing role of the human papillomavirus (HPV) in a significant number of these tumors. Lymph node involvement is the hallmark of FIGO stage 3 vulvar cancer while pelvic sidewall involvement is the hallmark of FIGO stage 3 vaginal cancer. Imaging techniques include computed tomography (CT), positron emission tomography (PET)-CT, magnetic resonance imaging (MRI), and PET-MRI. MRI is the imaging modality of choice for preoperative clinical staging of nodal and metastatic involvement while PET-CT is helpful with assessing response to neoadjuvant treatment and for guiding patient management. Determining the pretreatment extent of disease has become more important due to modern tailored operative approaches and use of neoadjuvant chemoradiation therapy to reduce surgical morbidity. Moreover, imaging is used to determine the full extent of disease for radiation planning and for evaluating treatment response. Understanding the relevant anatomy of the vulva and vaginal regions and the associated lymphatic pathways is helpful to recognize the potential routes of spread and to correctly identify the appropriate FIGO stage. The purpose of this article is to review the clinical features, pathology, and current treatment strategies for vulvar and vaginal malignancies and to identify multimodality diagnostic imaging features of these gynecologic cancers, in conjunction with its respective 2009 FIGO staging system guidelines

Patient-level thyroid cancer classification using attention multiple instance learning on fused multi-scale ultrasound image features.

For patients with thyroid nodules, the ability to detect and diagnose a malignant nodule is the key to creating an appropriate treatment plan. However, assessments of ultrasound images do not accurately represent malignancy, and often require a biopsy to confirm the diagnosis. Deep learning techniques can classify thyroid nodules from ultrasound images, but current methods depend on manually annotated nodule segmentations. Furthermore, the heterogeneity in the level of magnification across ultrasound images presents a significant obstacle to existing methods. We developed a multi-scale, attention-based multiple-instance learning model which fuses both global and local features of different ultrasound frames to achieve patient-level malignancy classification. Our model demonstrates improved performance with an AUROC of 0.785 (p<0.05) and AUPRC of 0.539, significantly surpassing the baseline model trained on clinical features with an AUROC of 0.667 and AUPRC of 0.444. Improved classification performance better triages the need for biopsy