Duodenal Obstruction after Endovascular Repair of a Ruptured Abdominal Aorta Aneurysm.

Endovascular repair has become the most frequent approach in the management of the ruptured infra-renal abdominal aorta aneurysm. When managing the ruptured patient with a significant retroperitoneal hematoma, abdominal compartment syndrome is often a consideration. Duodenal obstruction from the hematoma is rare and not typically a consideration.

Correction: Designing machine learning workflows with an application to topological data analysis.

[This corrects the article DOI: 10.1371/journal.pone.

Designing machine learning workflows with an application to topological data analysis.

In this paper we define the concept of the Machine Learning Morphism (MLM) as a fundamental building block to express operations performed in machine learning such as data preprocessing, feature extraction, and model training. Inspired by statistical learning, MLMs are morphisms whose parameters are minimized via a risk function. We explore operations such as composition of MLMs and when sets of MLMs form a vector space.

Electro-Mechanical Ionic Channel Modeling for Uterine Contractions and Oxytocin Effect during Pregnancy.

Uterine contractions during normal pregnancy and preterm birth are an important physiological activity. Although the cause of preterm labor is usually unknown, preterm birth creates very serious health concerns in many cases. Therefore, understanding normal birth and predicting preterm birth can help both newborn babies and their families.

Estimating uterine source current during contractions using magnetomyography measurements.

Understanding the uterine source of the electrophysiological activity of contractions during pregnancy is of scientific interest and potential clinical applications. In this work, we propose a method to estimate uterine source currents from magnetomyography (MMG) temporal course measurements on the abdominal surface. In particular, we develop a linear forward model, based on the quasistatic Maxwell's equations and a realistic four-compartment volume conductor, relating the magnetic fields to the source currents on the uterine surface through a lead-field matrix.

A Case of Intravenous Leiomyomatosis with Involvement of a Renal Vein.

Our patient is a 44-year-old woman who underwent exploratory laparotomy with total abdominal hysterectomy and bilateral salpingo-oophorectomy by gynecologic oncology for a suspected malignancy. The diagnosis of intravenous leiomyomatosis (IVL) was made instead. She was followed by her gynecologist and remained asymptomatic until 2 years later when she complained to the GYN of leg heaviness, and 2 months later also complained of palpitations.

Modeling Magnetomyograms of Uterine Contractions during Pregnancy Using a Multiscale Forward Electromagnetic Approach.

Understanding the mechanisms of uterine contractions during pregnancy is especially important in predicting the onset of labor and thus in forecasting preterm deliveries. Preterm birth can cause serious health problems in newborns, as well as large financial burdens to society. Various techniques such as electromyography (EMG) and magnetomyography (MMG) have been developed to quantify uterine contractions.

Gibbs distribution for statistical analysis of graphical data with a sample application to fcMRI brain images.

This paper develops object-oriented data analysis (OODA) statistical methods that are novel and complementary to existing methods of analysis of human brain scan connectomes, defined as graphs representing brain anatomical or functional connectivity. OODA is an emerging field where classical statistical approaches (e.g.

Patterned progression of bacterial populations in the premature infant gut.

In the weeks after birth, the gut acquires a nascent microbiome, and starts its transition to bacterial population equilibrium. This early-in-life microbial population quite likely influences later-in-life host biology. However, we know little about the governance of community development: does the gut serve as a passive incubator where the first organisms randomly encountered gain entry and predominate, or is there an orderly progression of members joining the community of bacteria? We used fine interval enumeration of microbes in stools from multiple subjects to answer this question.

Exploration of bacterial community classes in major human habitats.

Background: Determining bacterial abundance variation is the first step in understanding bacterial similarity between individuals. Categorization of bacterial communities into groups or community classes is the subsequent step in describing microbial distribution based on abundance patterns. Here, we present an analysis of the groupings of bacterial communities in stool, nasal, skin, vaginal and oral habitats in a healthy cohort of 236 subjects from the Human Microbiome Project.

Estimating electrical conductivity tensors of biological tissues using microelectrode arrays.

Finding the electrical conductivity of tissue is important for understanding the tissue's structure and functioning. However, the inverse problem of inferring spatial conductivity from data is highly ill-posed and computationally intensive. In this paper, we propose a novel method to solve the inverse problem of inferring tissue conductivity from a set of transmembrane potential and stimuli measurements made by microelectrode arrays (MEA).

Biogeography of the ecosystems of the healthy human body.

Background: Characterizing the biogeography of the microbiome of healthy humans is essential for understanding microbial associated diseases. Previous studies mainly focused on a single body habitat from a limited set of subjects. Here, we analyzed one of the largest microbiome datasets to date and generated a biogeographical map that annotates the biodiversity, spatial relationships, and temporal stability of 22 habitats from 279 healthy humans.

Hypothesis testing and power calculations for taxonomic-based human microbiome data.

This paper presents new biostatistical methods for the analysis of microbiome data based on a fully parametric approach using all the data. The Dirichlet-multinomial distribution allows the analyst to calculate power and sample sizes for experimental design, perform tests of hypotheses (e.g.

Statistical object data analysis of taxonomic trees from human microbiome data.

Human microbiome research characterizes the microbial content of samples from human habitats to learn how interactions between bacteria and their host might impact human health. In this work a novel parametric statistical inference method based on object-oriented data analysis (OODA) for analyzing HMP data is proposed. OODA is an emerging area of statistical inference where the goal is to apply statistical methods to objects such as functions, images, and graphs or trees.

Multiscale forward electromagnetic model of uterine contractions during pregnancy.

Background: Analyzing and monitoring uterine contractions during pregnancy is relevant to the field of reproductive health assessment. Its clinical importance is grounded in the need to reliably predict the onset of labor at term and pre-term. Preterm births can cause health problems or even be fatal for the fetus.

Estimating electrical conductivity tensors of biological tissues using microelectrode arrays.

Finding the electrical conductivity of tissue is highly important for understanding the tissue's structure and functioning. However, the inverse problem of inferring spatial conductivity from data is highly ill-posed and computationally intensive. In this paper, we propose a novel method to solve the inverse problem of inferring tissue conductivity from a set of transmembrane potential and stimuli measurements made by microelectrode arrays (MEA).

Detection of uterine MMG contractions using a multiple change point estimator and the K-means cluster algorithm.

We propose a single channel two-stage time-segment discriminator of uterine magnetomyogram (MMG) contractions during pregnancy. We assume that the preprocessed signals are piecewise stationary having distribution in a common family with a fixed number of parameters. Therefore, at the first stage, we propose a model-based segmentation procedure, which detects multiple change-points in the parameters of a piecewise constant time-varying autoregressive model using a robust formulation of the Schwarz information criterion (SIC) and a binary search approach.

Endovascular management of a peroneal artery injury due to a military fragment wound.

A healthy 29-year-old male suffered bilateral lower extremity fragment wounds resulting in a tense right calf shortly following a wound that required a four-compartment fasciotomy. During treatment of other injuries after medical evacuation he complained of increasing right calf pain. A peroneal pseudoaneurysm (PSA) with a concomitant arteriovenous fistula (AVF) was diagnosed.

Aberrant right subclavian artery syndrome: a case of chronic cough.

A young, otherwise healthy man had chronic cough of 16 months' duration. Evaluation revealed an aberrant right subclavian artery. Kommerell's diverticulum without aneurysmal degeneration was present.

Endovascular management of renal ischemia in a patient with acute aortic dissection and renovascular hypertension.

We report the endovascular management of a patient with a type B aortic dissection complicated by renal ischemia and resultant severe hypertension. A 69-year-old male presented with acute type B aortic dissection with proximal extension complicated by severe renovascular hypertension secondary to left renal ischemia. Endovascular management consisted of imaging with intravascular ultrasound and left renal artery stenting with balloon-expandable stents.