Automated detection and classification of nuclei in immunohistochemical stainings for Fuchs\u27 endothelial corneal dystrophy

Fuchs’ endothelial corneal dystrophy (FECD) is a degenerative disease that affects the elderly population, and which lacks a unifying pathogenic theory and tangible drug targets. Immunohistochemical stainings can be used to identify proteins involved in the pathogenesis of FECD. We introduce a method for the automatic quantification of the ratio of stained cells starting from full high-resolution cornea images. First, the endothelium is extracted using entropy information in a low-resolution resampling. Then, within the endothelium, we heuristically detect and classify nuclei based on their size, color, and the color of the surrounding cytoplasm. This method achieves comparable results to manual evaluation in a set of corneas of patients with and without FECD

Predictive Data Mining in Intensive Care (Data Mining voor predictie in intensieve zorgen)

nrpages: 151status: publishe

What Do We Mean by Cerebral Perfusion Pressure?

INTRODUCTION: No consensus exists on the exact method for measuring mean arterial blood pressure (MAP) in the definition of cerebral perfusion pressure (CPP). The aim of the current study is to investigate how different MAP measurement methods have influenced the CPP recommendations in the Brain Trauma Foundation (BTF) guidelines. METHODS: All papers on which the chapter on CPP thresholds in the 2007 version of the BTF guidelines is based, were reviewed. If accurate descriptions of head of bed elevation and arterial pressure transducer height were lacking, the authors were emailed for clarification. Additionally, the effect of choosing the radial artery for MAP measurement and the potential effect of gravity were studied in the literature. RESULTS: Thresholds of CPP in the BTF guidelines are based on 11 studies. Head of bed elevation at 30° was part of the protocol in 5 studies, patients were nursed flat in 1 study, and this variable remained unknown for 5 studies. The arterial pressure transducer was at heart level in 5 studies, at ear level in 3 studies, and height was unknown in 3 studies. Measuring MAP in the radial artery underestimates carotid artery MAP by approximately 10 mmHg in the flat position, and in a nonflat position gravity influences MAP of the internal carotid artery. CONCLUSION: There is no uniform definition for CPP, which may affect conclusions on proposed CPP targets in severe traumatic brain injury by ±10 mmHg.status: publishe

Gaussian processes for prediction in intensive care

In this paper we present the use of Gaussian Processes for regression in the application of prediction in Intensive Care. We propose a preliminary solution to predicting the evolution of a patient's state during his stay in intensive care by means of defined patient specific characteristics.status: publishe

Informatics in neurocritical care: new ideas for Big Data

Big data is the new hype in business and healthcare. Data storage and processing has become cheap, fast, and easy. Business analysts and scientists are trying to design methods to mine these data for hidden knowledge. Neurocritical care is a field that typically produces large amounts of patient-related data, and these data are increasingly being digitized and stored. This review will try to look beyond the hype, and focus on possible applications in neurointensive care amenable to Big Data research that can potentially improve patient care.status: publishe

Prediction model for intracranial hypertension demonstrates robust performance during external validation on the CENTER-TBI dataset

status: publishe

Machine learning techniques to examine large patient databases

Computerization in health care in general, and in the operating room (OR) and intensive care unit (ICU) in particular, is on the rise. This leads to large patient databases, with specific properties. Machine learning techniques are able to examine and to extract knowledge from large databases in an automatic way. Although the number of potential applications for these techniques in medicine is large, few medical doctors are familiar with their methodology, advantages and pitfalls. A general overview of machine learning techniques, with a more detailed discussion of some of these algorithms, is presented in this reviewstatus: publishe

An interactive learning approach to histology image segmentation

Histology image analysis using computer-aided diagnosis systems has become increasingly important during the last years. One reason is the need to alleviate the heavy workload of medical experts. In this paper, we introduce a general purpose framework which is able to solve histology analysis problems that are not restricted to a specific type of tissue or task, exploit local information in microscopical images, interact with medical experts and interatively consider direct user feedback. The framework is general enough to learn models that can adapt to several learning tasks and can detect several types of medical interest regions. We evaluate our framework on real-world datasets collected from patients in the intensive care unit. We considerably outperform image processing techniques commonly used in such medical imaging tasks.status: publishe

Traumatic brain injury in the elderly: a significant phenomenon

INTRODUCTION: Traumatic brain injury (TBI) in the elderly is becoming an increasingly frequent phenomenon. Studies have mainly analyzed the influence of age as a continuous variable and have not specifically looked at geriatric patients as a group. The aim of this study is to map the magnitude and characteristics of geriatric TBI and to identify factors contributing to their poorer outcome. MATERIAL AND METHODS: Based on the ICD-9 register of the University Hospitals Leuven demographic and clinical variables of TBI were analyzed (2002-2008). The influence of older age on physiological variables was assessed using the Brain-IT database. RESULTS: The elderly (aged ≥65 years) accounted for 38.2% of non-concussion TBI and 32.6% of ICU admissions, representing the largest age group. The elderly had a significantly lower ICP (median 10.06 mmHg versus median 14.52 mmHg; p = 0.048), but no difference in their measure of autoregulation (daily mABP/ICP correlation coefficient) compared with 20-35 year-olds. TBI was caused by a fall in 78.9% of elderly patients and 42.3% suffered a mass lesion. 72.1% had cardiovascular comorbidity. Complications did not differ from their younger counterparts. DISCUSSION: Geriatric TBI is a significant phenomenon. Poorer outcomes are not yet sufficiently explained by physiological monitoring data, but reduced vascular versatility is likely to contribute. More research is needed in order to develop specific management protocols.status: publishe

Novel Methods to Predict Increased Intracranial Pressure During Intensive Care and Long-Term Neurological Outcome After Traumatic Brain Injury: Development and Validation in a Multicenter Dataset

OBJECTIVE:: Intracranial pressure monitoring is standard of care after severe traumatic brain injury. Episodes of increased intracranial pressure are secondary injuries associated with poor outcome. We developed a model to predict increased intracranial pressure episodes 30 mins in advance, by using the dynamic characteristics of continuous intracranial pressure and mean arterial pressure monitoring. In addition, we hypothesized that performance of current models to predict long-term neurologic outcome could be substantially improved by adding dynamic characteristics of continuous intracranial pressure and mean arterial pressure monitoring during the first 24 hrs in the ICU. DESIGN:: Prognostic modeling. Noninterventional, observational, retrospective study. SETTING AND PATIENTS:: The Brain Monitoring with Information Technology dataset consisted of 264 traumatic brain injury patients admitted to 22 neuro-ICUs from 11 European countries. INTERVENTIONS:: None. MEASUREMENTS:: Predictive models were built with multivariate logistic regression and Gaussian processes, a machine learning technique. Predictive attributes were Corticosteroid Randomisation After Significant Head Injury-basic and International Mission for Prognosis and Clinical Trial design in TBI-core predictors, together with time-series summary statistics of minute-by-minute mean arterial pressure and intracranial pressure. MAIN RESULTS:: Increased intracranial pressure episodes could be predicted 30 mins ahead with good calibration (Hosmer-Lemeshow p value 0.12, calibration slope 1.02, calibration-in-the-large -0.02) and discrimination (area under the receiver operating curve = 0.87) on an external validation dataset. Models for prediction of poor neurologic outcome at six months (Glasgow Outcome Score 1-2) based only on static admission data had 0.72 area under the receiver operating curve; adding dynamic information of intracranial pressure and mean arterial pressure during the first 24 hrs increased performance to 0.90. Similarly, prediction of Glasgow Outcome Score 1-3 was improved from 0.68 to 0.87 when including dynamic information. CONCLUSION:: The dynamic information in continuous mean arterial pressure and intracranial pressure monitoring allows to accurately predict increased intracranial pressure in the neuro-ICU. Adding information of the first 24 hrs of intracranial pressure and mean arterial pressure monitoring to known baseline risk factors allows very accurate prediction of long-term neurologic outcome at 6 months.status: publishe