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https://www.readbyqxmd.com/read/28229271/new-pet-ct-criterion-for-nodal-staging-in-non-small-cell-lung-cancer-measurement-of-the-ratio-of-section-area-of-standard-uptake-values-%C3%A2-2-5-lymph-node-section-area
#1
Yoshitaro Saito, Kazuhiro Imai, Koichi Ishiyama, Hajime Saito, Satoru Motoyama, Yusuke Sato, Hayato Konno, Satoshi Fujishima, Manabu Hashimoto, Yoshihiro Minamiya
BACKGROUND: The aim of the present study was to use surgical and histological results to develop a simple noninvasive technique for improving nodal staging using preoperative PET/CT in patients with resectable non-small cell lung cancer (NSCLC). METHODS: Preoperative PET/CT findings (163 patients) and pathological diagnoses after surgical resection were evaluated. Using PET/CT images, lymph node section area (SA), the maximum standardized uptake value (SUVmax), SA of SUV ≥2...
February 23, 2017: General Thoracic and Cardiovascular Surgery
https://www.readbyqxmd.com/read/28229195/predictors-for-uroseptic-shock-in-patients-who-undergo-minimally-invasive-percutaneous-nephrolithotomy
#2
Junhong Fan, Shawpong Wan, Luhao Liu, Zhijian Zhao, Zanlin Mai, Dong Chen, Wei Zhu, Zhou Yang, Lili Ou, Wenqi Wu
To identify risk factors that can predict which patient is likely to progress from systemic inflammatory response syndrome (SIRS) to uroseptic shock after minimally invasive percutaneous nephrolithotomy (MPCNL) for the upper urinary tract stones. We retrospectively reviewed 156 patients who suffered infectious complications after MPCNL from March 2014 to February 2016. Perioperative risk factors that could potentially contribute to uroseptic shock were compared to those of patients with only SIRS. 135 of the 156 patients developed to SIRS only, the remaining 21 patients progressed to uroseptic shock...
February 22, 2017: Urolithiasis
https://www.readbyqxmd.com/read/28228577/the-basilar-artery-on-computed-tomography-angiography-prognostic-score-for-basilar-artery-occlusion
#3
Fana Alemseged, Darshan G Shah, Marina Diomedi, Fabrizio Sallustio, Andrew Bivard, Gagan Sharma, Peter J Mitchell, Richard J Dowling, Steven Bush, Bernard Yan, Carlo Caltagirone, Roberto Floris, Mark W Parsons, Christopher R Levi, Stephen M Davis, Bruce C V Campbell
BACKGROUND AND PURPOSE: Basilar artery occlusion is associated with high risk of disability and mortality. This study aimed to assess the prognostic value of a new radiological score: the Basilar Artery on Computed Tomography Angiography (BATMAN) score. METHODS: A retrospective analysis of consecutive stroke patients with basilar artery occlusion diagnosed on computed tomographic angiography was performed. BATMAN score is a 10-point computed tomographic angiography-based grading system which incorporates thrombus burden and the presence of collaterals...
February 22, 2017: Stroke; a Journal of Cerebral Circulation
https://www.readbyqxmd.com/read/28228129/prognostic-value-of-the-sliding-length-of-cephalocervical-screws-to-predict-the-risk-of-non-union-after-osteosynthesis-a-retrospective-analysis-of-86-patients-with-intracapsular-femoral-neck-fractures
#4
Yohei Hirakawa, Hidehiro Nakamura, Kazuhito Minamitani, Ryuki Hashida, Masafumi Gotoh, Naoto Shiba
BACKGROUND: Here, we assessed the prognostic value of the early sliding length (ESL) for predicting the risk of non-union after internal fixation of femoral neck fractures (FNFs) by Dual SC Screws (DSCS). METHODS: A retrospective analysis of 86 patients with intra-capsular FNFs was performed. They underwent osteosynthesis by DSCS at our institution between 2008 and 2013 with a minimum follow-up duration of 6 months. Preoperative displacement, fracture reduction quality, ESL of screws at 2 weeks postoperatively, and correlation of non-union with the ESL of screws were evaluated...
February 22, 2017: Journal of Orthopaedic Surgery and Research
https://www.readbyqxmd.com/read/28227934/effect-of-embedding-dimension-on-complexity-measures-in-identifying-arrhythmia
#5
Radhagayathri K Udhayakumar, Chandan Karmakar, Peng Li, Marimuthu Palaniswami, Radhagayathri K Udhayakumar, Chandan Karmakar, Peng Li, Marimuthu Palaniswami, Marimuthu Palaniswami, Radhagayathri K U Udhayakumar, Peng Li, Chandan Karmakar
Entropy measures like Approximate entropy (ApEn) and Sample entropy (SampEn) are well established tools to analyze Heart Rate Variability (HRV) data. Critical parameters involved in these computations namely embedding dimension m and tolerance r are in most cases assumed to be 2 and 0.2*signal SD (standard devaition) respectively. Such assumptions do not work fairly across data sets and thus create misleading results in many cases. Problems with r have been addressed with the advent of newer entropy measures like Permutation entropy (PE), Fuzzy entropy (FuzzyEn) and Distribution entropy (DistEn) that simply eliminate, modify or replace r from calculations...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227764/enhanced-dual-stage-correlated-diffusion-imaging
#6
Farzad Khalvati, Junjie Zhang, Masoom A Haider, Alexander Wong, Farzad Khalvati, Junjie Zhang, Masoom A Haider, Alexander Wong, Farzad Khalvati, Alexander Wong, Junjie Zhang, Masoom A Haider
Prostate cancer is the most common form of cancer and third leading cause of cancer death in Canadian men. Multi-parametric magnetic resonance imaging (mpMRI) has become a powerful non-invasive diagnostic tool for the detection of prostate cancer. Among mpMRI imaging modalities, diffusion-weighed imaging has shown the most promising results in accurate detection of prostate cancer. Introduced recently, correlated diffusion imaging (CDI) is a new form of diffusion imaging which accounts for the joint correlation of diffusion signal attenuation across multiple gradient pulse strengths and timings to improve the separability of cancerous and healthy tissues...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227680/a-mobile-platform-for-automated-screening-of-asthma-and-chronic-obstructive-pulmonary-disease
#7
Daniel B Chamberlain, Rahul Kodgule, Richard Ribon Fletcher, Daniel B Chamberlain, Rahul Kodgule, Richard Ribon Fletcher, Daniel B Chamberlain, Richard Ribon Fletcher, Rahul Kodgule
Chronic Obstructive Pulmonary Disease (COPD) and asthma each represent a large proportion of the global disease burden; COPD is the third leading cause of death worldwide and asthma is one of the most prevalent chronic diseases, afflicting over 300 million people. Much of this burden is concentrated in the developing world, where patients lack access to physicians trained in the diagnosis of pulmonary disease. As a result, these patients experience high rates of underdiagnosis and misdiagnosis. To address this need, we present a mobile platform capable of screening for Asthma and COPD...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227421/spectral-based-pneumonia-detection-tool-using-ultrasound-data-from-pediatric-populations
#8
O Zenteno, B Castaneda, R Lavarello, O Zenteno, B Castaneda, R Lavarello, B Castaneda, O Zenteno, R Lavarello
Pediatric Pneumonia is one of the principal causes of death by year on children under the age of five worldwide. The diagnosis is commonly made by clinical criteria with support from imaging tools like radiography. Lung ultrasound has been considered a low-cost and portable alternative for pneumonia imaging; however, interpretation is subjective and requires adequate training. In the present work, a pneumonia detection algorithm based on the measurement of the fundamental bandwidth downshift over depth of ultrasound radiofrequency (RF) signals is presented...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227310/analysis-of-glottal-source-parameters-in-parkinsonian-speech
#9
Jane Hanratty, Catherine Deegan, Mary Walsh, Barry Kirkpatrick, Jane Hanratty, Catherine Deegan, Mary Walsh, Barry Kirkpatrick, Mary Walsh, Barry Kirkpatrick, Jane Hanratty, Catherine Deegan
Diagnosis and monitoring of Parkinson's disease has a number of challenges as there is no definitive biomarker despite the broad range of symptoms. Research is ongoing to produce objective measures that can either diagnose Parkinson's or act as an objective decision support tool. Recent research on speech based measures have demonstrated promising results. This study aims to investigate the characteristics of the glottal source signal in Parkinsonian speech. An experiment is conducted in which a selection of glottal parameters are tested for their ability to discriminate between healthy and Parkinsonian speech...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227226/learning-approaches-to-improve-prediction-of-drug-sensitivity-in-breast-cancer-patients
#10
Turki Turki, Zhi Wei, Turki Turki, Zhi Wei, Turki Turki, Zhi Wei
Predicting drug response to cancer disease is an important problem in modern clinical oncology that attracted increasing recent attention from various domains such as computational biology, machine learning, and data mining. Cancer patients respond differently to each cancer therapy owing to disease diversity, genetic factors, and environmental causes. Thus, oncologists aim to identify the effective therapies for cancer patients and avoid adverse drug reactions in patients. By predicting the drug response to cancer, oncologists gain full understanding of the effective treatments on each patient, which leads to better personalized treatment...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227220/selection-of-an-optimal-feature-set-to-predict-heart-transplantation-outcomes
#11
Dennis Medved, Pierre Nugues, Johan Nilsson, Dennis Medved, Pierre Nugues, Johan Nilsson, Dennis Medved, Johan Nilsson, Pierre Nugues
Heart transplantation (HT) is a life saving procedure, but a limited donor supply forces the surgeons to prioritize the recipients. The understanding of factors that predict mortality could help the doctors with this task. The objective of this study is to find locally optimal feature sets to predict survival of HT patients for different time periods. To this end, we applied logistic regression together with a greedy forward and backward search. As data source, we used the United Network for Organ Sharing (UNOS) registry, where we extracted adult patients (>17 years) from January 1997 to December 2008...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227205/low-frequency-ultrasound-radiosensitization-and-therapy-response-monitoring-of-tumors-an-in-vivo-study
#12
Ali Sadeghi-Naini, Martin Stanisz, Hadi Tadayyon, Jaswinder Taank, Gregory J Czarnota, Ali Sadeghi-Naini, Martin Stanisz, Hadi Tadayyon, Jaswinder Taank, Gregory J Czarnota, Jaswinder Taank, Hadi Tadayyon, Martin Stanisz, Ali Sadeghi-Naini, Gregory J Czarnota
A new framework has been introduced in this paper for tumor radiosensitization and therapy response monitoring using low-frequency ultrasound. Human fibrosarcoma xenografts grown in severe combined immunodeficiency (SCID) mice (n = 108) were treated using ultrasound-stimulated microbubbles at various concentration and exposed to different doses of radiation. Low-frequency ultrasound radiofrequency (RF) data were acquired from tumors prior to and at different times after treatment. Quantitative ultrasound (QUS) techniques were applied to generate spectral parametric maps of tumors...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227197/identifying-individual-sleep-apnea-hypoapnea-epochs-using-smartphone-based-pulse-oximetry
#13
Ainara Garde, Parastoo Dekhordi, J Mark Ansermino, Guy A Dumont, Ainara Garde, Parastoo Dekhordi, J Mark Ansermino, Guy A Dumont, J Mark Ansermino, Parastoo Dekhordi, Guy A Dumont, Ainara Garde
Sleep apnea, characterized by frequent pauses in breathing during sleep, poses a serious threat to the healthy growth and development of children. Polysomnography (PSG), the gold standard for sleep apnea diagnosis, is resource intensive and confined to sleep laboratories, thus reducing its accessibility. Pulse oximetry alone, providing blood oxygen saturation (SpO2) and blood volume changes in tissue (PPG), has the potential to identify children with sleep apnea. Thus, we aim to develop a tool for at-home sleep apnea screening that provides a detailed and automated 30 sec epoch-by-epoch sleep apnea analysis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226969/a-machine-learning-based-approach-for-identifying-traumatic-brain-injury-patients-for-whom-a-head-ct-scan-can-be-avoided
#14
Somayeh Molaei, Frederick K Korley, S M Reza Soroushmehr, Hayley Falk, Haris Sair, Kevin Ward, Kayvan Najarian, Somayeh Molaei, Frederick K Korley, S M Reza Soroushmehr, Hayley Falk, Haris Sair, Kevin Ward, Kayvan Najarian, Frederick K Korley, Hayley Falk, Kevin Ward, S M Reza Soroushmehr, Haris Sair, Kayvan Najarian, Somayeh Molaei
Head CT scan is more often used to evaluate patients with suspected traumatic brain injury (TBI). However, the use of head CT scans in evaluating TBI is costly with low value endeavor. In this paper, we propose a new algorithm and a set of features to help clinicians determine which patients evaluated for TBI need a head CT scan using cost sensitive random forest (CSRF) classifier. We show that random forest (RF) and CSRF are useful methods for identifying patients likely to have a positive head CT scan. The proposed algorithm has superior diagnostic accuracy in comparison to the Canadian head CT algorithm, which is currently the most accurate and widely used algorithm for determining which TBI patients need a head CT scan...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226869/the-long-range-temporal-correlations-of-broadband-eeg-oscillations-in-poststroke-depression-subjects-with-basal-ganglia-infarction
#15
Chunfang Wang, Jingang Du, Ying Zhang, Peng Zhou, Dong Ming, Chunfang Wang, Jingang Du, Ying Zhang, Peng Zhou, Dong Ming, Jingang Du, Peng Zhou, Chunfang Wang, Ying Zhang, Dong Ming
Recent studies have found long-range temporal correlations (LRTC) of neuronal oscillation under different physiological and pathological state. In this paper we aimed to explore the temporal correlations of broadband neuronal oscillation in poststroke depression. Resting state EEGs of 16 electrodes in 16 poststroke depression (PSD), 18 poststroke non-depression (PSND) and 18 healthy control (HC) subjects were analyzed by means of detrended fluctuation analysis (DFA), a quantitative measurement of LRTC. The results indicated that LRTC of broadband oscillation in PSD subjects was still preserved and had similar spatial distribution to non-depression subjects, but attenuated especially in left hemisphere and frontal and posterior temporal regions of right hemisphere...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226746/artery-vein-classification-of-retinal-blood-vessels-using-feature-selection
#16
Vishal Vijayakumar, Dara D Koozekanani, Robert White, James Kohler, Sohini Roychowdhury, Keshab K Parhi, Vishal Vijayakumar, Dara D Koozekanani, Robert White, James Kohler, Sohini Roychowdhury, Keshab K Parhi, James Kohler, Keshab K Parhi, Vishal Vijayakumar, Sohini Roychowdhury, Robert White, Dara D Koozekanani
Automated classification of retinal vessels in fundus images is the first step towards measurement of retinal characteristics that can be used to screen and diagnose vessel abnormalities for cardiovascular and retinal disorders. This paper presents a novel approach to vessel classification to compute the artery/vein ratio (AVR) for all blood vessel segments in the fundus image. The features extracted are then subjected to a selection procedure using Random Forests (RF) where the features that contribute most to classification accuracy are chosen as input to a polynomial kernel Support Vector Machine (SVM) classifier...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226619/application-of-semi-supervised-deep-learning-to-lung-sound-analysis
#17
Daniel Chamberlain, Rahul Kodgule, Daniela Ganelin, Vivek Miglani, Richard Ribon Fletcher, Daniel Chamberlain, Rahul Kodgule, Daniela Ganelin, Vivek Miglani, Richard Ribon Fletcher, Vivek Miglani, Daniel Chamberlain, Richard Ribon Fletcher, Rahul Kodgule, Daniela Ganelin
The analysis of lung sounds, collected through auscultation, is a fundamental component of pulmonary disease diagnostics for primary care and general patient monitoring for telemedicine. Despite advances in computation and algorithms, the goal of automated lung sound identification and classification has remained elusive. Over the past 40 years, published work in this field has demonstrated only limited success in identifying lung sounds, with most published studies using only a small numbers of patients (typically N<;20) and usually limited to a single type of lung sound...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226525/pain-detection-from-facial-images-using-unsupervised-feature-learning-approach
#18
Reza Kharghanian, Ali Peiravi, Farshad Moradi, Reza Kharghanian, Ali Peiravi, Farshad Moradi, Ali Peiravi, Reza Kharghanian, Farshad Moradi
In this paper a new method for continuous pain detection is proposed. One approach to detect the presence of pain is by processing images taken from the face. It has been reported that expression of pain from the face can be detected utilizing Action Units (AUs). In this manner, each action units must be detected separately and then combined together through a linear expression. Also, pain detection can be directly done from a painful face. There are different methods to extract features of both shape and appearance...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226408/which-regional-pain-rating-best-predicts-patient-reported-improvement-in-lumbar-radiculopathy
#19
Mark C Bicket, Paul F Pasquina, Steven P Cohen
OBJECTIVE: To determine the best regional pain score cutoff value that corresponds with patient-reported improvement in lumbosacral radiculopathy (LSR). DESIGN: Retrospective pooled data analysis from 3 randomized, controlled, multicenter trials using similar outcome assessments. All participants were exposed to interventions (epidural injections). SETTING: Military medical centers (6 U.S.A., 1 Germany) and large tertiary care hospitals (4 urban, 1 Veterans Affairs) between 2008 and 2014...
February 22, 2017: Pain Practice: the Official Journal of World Institute of Pain
https://www.readbyqxmd.com/read/28225854/analysis-of-risk-prediction-capability-and-validity-of-morse-fall-scale-brazilian-version
#20
Janete de Souza Urbanetto, Thiana Sebben Pasa, Hélio Radke Bittencout, Flavia Franz, Vitor Pena Prazido Rosa, Tânia Solange Bosi de Souza Magnago
Objective: To analyse the power to predict risk and verify the validity of the Morse Fall Scale - Brazilian version (MFS-B). Method: This is a methodological, longitudinal study with 1487 adult patients of two university hospitals of Rio Grande do Sul, Brazil conducted from November 2013 to March 2014. The MFS-B was used to assess the risk of falls. Statistical analysis comprised multivariate methods (discriminant function analysis and ROC curve). The research was approved by the ethics committees of the institutions...
February 16, 2017: Revista Gaúcha de Enfermagem
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