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https://www.readbyqxmd.com/read/27922845/continued-under-recognition-of-acute-respiratory-distress-syndrome-after-the-berlin-definition-what-is-the-solution
#1
John G Laffey, Tài Pham, Giacomo Bellani
PURPOSE OF REVIEW: Timely recognition of acute respiratory distress syndrome (ARDS) may allow for more prompt management and less exacerbation of lung injury. However, the absence of a diagnostic test for ARDS means that the diagnosis of ARDS requires clinician recognition in what is usually a complicated and evolving illness. We review data concerning the extent of recognition of ARDS in the era of the Berlin definition of ARDS. RECENT FINDINGS: ARDS continues to be under-recognized - even in the era of the more recent 'Berlin' definition, and significant delay in its recognition is common...
December 5, 2016: Current Opinion in Critical Care
https://www.readbyqxmd.com/read/27911353/computer-aided-classification-of-mammographic-masses-using-visually-sensitive-image-features
#2
Yunzhi Wang, Faranak Aghaei, Ali Zarafshani, Yuchen Qiu, Wei Qian, Bin Zheng
PURPOSE: To develop a new computer-aided diagnosis (CAD) scheme that computes visually sensitive image features routinely used by radiologists to develop a machine learning classifier and distinguish between the malignant and benign breast masses detected from digital mammograms. METHODS: An image dataset including 301 breast masses was retrospectively selected. From each segmented mass region, we computed image features that mimic five categories of visually sensitive features routinely used by radiologists in reading mammograms...
November 30, 2016: Journal of X-ray Science and Technology
https://www.readbyqxmd.com/read/27911329/comparison-of-model-based-indices-of%C3%A2-cerebral-autoregulation-and-vasomotor-reactivity-using-transcranial-doppler-versus-near-infrared-spectroscopy-in%C3%A2-patients-with-amnestic-mild-cognitive-impairment
#3
Vasilis Z Marmarelis, Dae C Shin, Takashi Tarumi, Rong Zhang
We recently introduced model-based "physiomarkers" of dynamic cerebral autoregulation and CO2 vasomotor reactivity as an aid for diagnosis of early-stage Alzheimer's disease (AD) [1], where significant impairment of dynamic vasomotor reactivity (DVR) was observed in early-stage AD patients relative to age-matched controls. Milder impairment of DVR was shown in patients with amnestic mild cognitive impairment (MCI) using the same approach in a subsequent study [2]. The advocated approach utilizes subject-specific data-based models of cerebral hemodynamics to quantify the dynamic effects of resting-state changes in arterial blood pressure and end-tidal CO2 (the putative inputs) upon cerebral blood flow velocity (the putative output) measured at the middle cerebral artery via transcranial Doppler (TCD)...
November 28, 2016: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/27896749/computer-aided-breast-cancer-diagnosis-with-optimal-feature-sets-reduction-rules-and-optimization-techniques
#4
Luke Mathieson, Alexandre Mendes, John Marsden, Jeffrey Pond, Pablo Moscato
This chapter introduces a new method for knowledge extraction from databases for the purpose of finding a discriminative set of features that is also a robust set for within-class classification. Our method is generic and we introduce it here in the field of breast cancer diagnosis from digital mammography data. The mathematical formalism is based on a generalization of the k-Feature Set problem called (α, β)-k-Feature Set problem, introduced by Cotta and Moscato (J Comput Syst Sci 67(4):686-690, 2003). This method proceeds in two steps: first, an optimal (α, β)-k-feature set of minimum cardinality is identified and then, a set of classification rules using these features is obtained...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27895963/evaluation-of-semi-automatic-segmentation-methods-for-persistent-ground-glass-nodules-on-thin-section-ct-scans
#5
Young Jae Kim, Seung Hyun Lee, Chang Min Park, Kwang Gi Kim
OBJECTIVES: This work was a comparative study that aimed to find a proper method for accurately segmenting persistent ground glass nodules (GGN) in thin-section computed tomography (CT) images after detecting them. METHODS: To do this, we first applied five types of semi-automatic segmentation methods (i.e., level-set-based active contour model, localized region-based active contour model, seeded region growing, K-means clustering, and fuzzy C-means clustering) to preprocessed GGN images, respectively...
October 2016: Healthcare Informatics Research
https://www.readbyqxmd.com/read/27888699/tumor-detection-using-magnetosome-nanoparticles-functionalized-with-a-newly-screened-egfr-her2-targeting-peptide
#6
Zhichu Xiang, Xiaoliang Yang, Junjie Xu, Wenjia Lai, Zihua Wang, Zhiyuan Hu, Jiesheng Tian, Lingling Geng, Qiaojun Fang
A novel peptide (P75) targeting EGFR and HER2 is successfully screened from a one-bead-one-compound (OBOC) library containing approximately 2 × 10(5) peptides built with the aid of computational simulation. In vitro and in vivo analyses show that P75 binds to human epithelial growth factor receptor (EGFR) with nanomolar affinity and to epithelial growth factor receptor-2 (HER2) with a lower affinity but comparable to other reported peptides. The peptide is used to modify the surface of magnetosome nanoparticles (NPs) for targeted magnetic resonance imaging (MRI)...
November 16, 2016: Biomaterials
https://www.readbyqxmd.com/read/27886719/a-dual-stage-adaptive-thresholding-dusat-for-automatic-mass-detection-in-mammograms
#7
J Anitha, J Dinesh Peter, S Immanuel Alex Pandian
BACKGROUND AND OBJECTIVE: Early detection and diagnosis of breast cancer through mammography screening reduces breast cancer mortality by around 20%. However it is often a complex process to differentiate abnormalities due to the ill-defined margins and subtle appearances. METHOD: This paper investigates a new computer aided approach to detect the abnormalities in the digital mammograms using a Dual Stage Adaptive Thresholding (DuSAT). The suspicious mass region is identified using global histogram and local window thresholding method...
January 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/27886012/histogram-based-feature-extraction-from-individual-gray-matter-similarity-matrix-for-alzheimer-s-disease-classification
#8
Iman Beheshti, Norihide Maikusa, Hiroshi Matsuda, Hasan Demirel, Gholamreza Anbarjafari
Automatic computer-aided diagnosis (CAD) systems have been widely used in classification of patients who suffer from Alzheimer's disease (AD). This paper presents an automatic CAD system based on histogram feature extraction from single-subject gray matter similarity-matrix for classifying the AD patients from healthy controls (HC) using structural magnetic resonance imaging (MRI) data. The proposed CAD system is composed of five stages. In the first stage, segmentation is employed to perform pre-processing on the MRI images, and segment into gray matter, white matter, and cerebrospinal fluid using the voxel-based morphometric toolbox procedure...
November 19, 2016: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/27885540/automatic-abdominal-multi-organ-segmentation-using-deep-convolutional-neural-network-and-time-implicit-level-sets
#9
Peijun Hu, Fa Wu, Jialin Peng, Yuanyuan Bao, Feng Chen, Dexing Kong
PURPOSE: Multi-organ segmentation from CT images is an essential step for computer-aided diagnosis and surgery planning. However, manual delineation of the organs by radiologists is tedious, time-consuming and poorly reproducible. Therefore, we propose a fully automatic method for the segmentation of multiple organs from three-dimensional abdominal CT images. METHODS: The proposed method employs deep fully convolutional neural networks (CNNs) for organ detection and segmentation, which is further refined by a time-implicit multi-phase evolution method...
November 24, 2016: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/27878858/non-invasive-tools-for-the-diagnosis-of-cutaneous-melanoma
#10
REVIEW
C Fink, H A Haenssle
BACKGROUND: While the excisional biopsy and histological examination of suspicious lesions remains the current gold standard for diagnosing cutaneous melanoma (CM), there is a demand for more objective and non-invasive examination methods that may support clinicians in their decision when to biopsy or not. METHODS: This review is based on publications and guidelines retrieved by a selective search in PubMed and MEDLINE and focused on non-invasive diagnostic strategies for detecting melanoma...
November 22, 2016: Skin Research and Technology
https://www.readbyqxmd.com/read/27876028/clinical-assessment-of-children-with-renal-abscesses-presenting-to-the-pediatric-emergency-department
#11
Chun-Yu Chen, Huang-Tsung Kuo, Yu-Jun Chang, Kang-Hsi Wu, Wen-Chieh Yang, Han-Ping Wu
BACKGROUND: Renal abscesses are relatively uncommon in children but may result in prolonged hospital stays and life-threatening events. We undertook this study to analyze the clinical spectrum of renal abscesses in children admitted to the pediatric emergency department (ED) and to find helpful clinical characteristics that can potentially aid emergency physicians for detecting renal abscesses in children earlier. METHODS: From 2004 to 2011, we retrospectively analyzed 17 patients, aged 18 years or younger, with a definite diagnosis of renal abscess admitted to the ED...
November 22, 2016: BMC Pediatrics
https://www.readbyqxmd.com/read/27875758/beyond-the-lymph-nodes-fdg-pet-ct-in-primary-extranodal-lymphoma
#12
REVIEW
Kin Man Sin, Stanton King Dat Ho, Brian Yung Kong Wong, Harry Gill, Pek-Lan Khong, Elaine Yuen Phin Lee
Extranodal lymphoma can be the primary presentation or secondary to systemic involvement of lymphoma. 2-(fluorine-18) fluoro-2-deoxy-d-glucose positron emission tomography with computer tomography (FDG-PET/CT) is useful in detecting extranodal sites during staging, treatment response assessment or recurrence detection in patients with lymphoma. In this article, we reviewed the imaging features and FDG avidity of primary extranodal lymphoma of various organs and systems on FDG-PET/CT, demonstrating the pearls and pitfalls of FDG-PET/CT in evaluating this disease entity and cross-referencing to other imaging modalities that aid in diagnosis and management...
November 16, 2016: Clinical Imaging
https://www.readbyqxmd.com/read/27875217/automatic-scoring-of-multiple-semantic-attributes-with-multi-task-feature-leverage-a-study-on-pulmonary-nodules-in-ct-images
#13
Sihong Chen, Jing Qin, Xing Ji, Baiying Lei, Tianfu Wang, Dong Ni, Jie-Zhi Cheng
The gap between the computational and semantic features is the one of major factors that bottlenecks the computer-aided diagnosis (CAD) performance from clinical usage. To bridge this gap, we exploit three multi-task learning (MTL) schemes to leverage heterogeneous computational features derived from deep learning models of stacked denoising autoencoder (SDAE) and convolutional neural network (CNN), as well as hand-crafted Haar-like and HoG features, for the description of 9 semantic features for lung nodules in CT images...
November 16, 2016: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/27872871/microscopic-medical-image-classification-framework-via-deep-learning-and-shearlet-transform
#14
Hadi Rezaeilouyeh, Ali Mollahosseini, Mohammad H Mahoor
Cancer is the second leading cause of death in US after cardiovascular disease. Image-based computer-aided diagnosis can assist physicians to efficiently diagnose cancers in early stages. Existing computer-aided algorithms use hand-crafted features such as wavelet coefficients, co-occurrence matrix features, and recently, histogram of shearlet coefficients for classification of cancerous tissues and cells in images. These hand-crafted features often lack generalizability since every cancerous tissue and cell has a specific texture, structure, and shape...
October 2016: Journal of Medical Imaging
https://www.readbyqxmd.com/read/27858248/morphology-filter-bank-for-extracting-nodular-and-linear-patterns-in-medical-images
#15
Ryutaro Hashimoto, Yoshikazu Uchiyama, Keiichi Uchimura, Gou Koutaki, Tomoki Inoue
PURPOSE: Using image processing to extract nodular or linear shadows is a key technique of computer-aided diagnosis schemes. This study proposes a new method for extracting nodular and linear patterns of various sizes in medical images. METHODS: We have developed a morphology filter bank that creates multiresolution representations of an image. Analysis bank of this filter bank produces nodular and linear patterns at each resolution level. Synthesis bank can then be used to perfectly reconstruct the original image from these decomposed patterns...
November 17, 2016: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/27854032/haustral-loop-extraction-for-ct-colonography-using-geodesics
#16
Yongkai Liu, Chaijie Duan, Jerome Liang, Jing Hu, Hongbing Lu, Mingyue Luo
PURPOSE: The human colon has complex geometric structures because of its haustral folds, which are thin flat protrusions on the colon wall. The haustral loop is the curve (approximately triangular in shape) that encircles the highly convex region of the haustral fold, and is regarded as the natural landmark of the colon, intersecting the longitude of the colon in the middle. Haustral loop extraction can assist in reducing the structural complexity of the colon, and the loops can also serve as anatomic markers for computed tomographic colonography (CTC)...
November 16, 2016: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/27847817/automatic-detection-of-pectoral-muscle-region-for-computer-aided-diagnosis-using-mias-mammograms
#17
Woong Bae Yoon, Ji Eun Oh, Eun Young Chae, Hak Hee Kim, Soo Yeul Lee, Kwang Gi Kim
The computer-aided detection (CAD) systems have been developed to help radiologists with the early detection of breast cancer. This system provides objective and accurate information to reduce the misdiagnosis of the disease. In mammography, the pectoral muscle region is used as an index to compare the symmetry between the left and right images in the mediolateral oblique (MLO) view. The pectoral muscle segmentation is necessary for the detection of microcalcification or mass because the pectoral muscle has a similar pixel intensity as that of lesions, which affects the results of automatic detection...
2016: BioMed Research International
https://www.readbyqxmd.com/read/27847755/radix-mesiolingualis-and-radix-distolingualis-a-case-report-of-a-tooth-with-an-unusual-morphology
#18
Gurudutt Nayak, Himanshu Aeran, Inderpreet Singh
Variation in the root and canal morphology of the maxillary first molars is quite common. The most common configuration is 3 roots and 3 or 4 canals. Nonetheless, other possibilities still exist. The presence of an additional palatal root is rather uncommon and has been reported to have an incidence of 0.06 - 1.6% in varying populations studied. Whenever two palatal roots exist, one of them is the normal palatal root, the other is a supernumerary structure which can be located either mesiolingually (radix mesiolingualis) or distolingually (radix distolingualis)...
November 2016: Restorative Dentistry & Endodontics
https://www.readbyqxmd.com/read/27843331/differentiation-between-adrenal-adenomas-and-nonadenomas-using-dynamic-contrast-enhanced-computed-tomography
#19
Xifu Wang, Kangan Li, Haoran Sun, Jinglong Zhao, Linfeng Zheng, Zhuoli Zhang, Renju Bai, Guixiang Zhang
This study was performed to evaluate the findings including the time density curve (TD curve), the relative percentage of enhancement washout (Washr) and the absolute percentage of enhancement washout (Washa) at dynamic contrast-enhanced computed tomography (DCE-CT) in 70 patients with 79 adrenal masses (including 44 adenomas and 35 nonadenomas) confirmed histopathologically and/or clinically. The results demonstrated that the TD curves of adrenal masses were classified into 5 types, and the type distribution of the TD curves was significantly different between adenomas and nonadenomas...
2016: OncoTargets and Therapy
https://www.readbyqxmd.com/read/27842517/screening-and-characterization-of-novel-specific-peptides-targeting-mda-mb-231-claudin-low-breast-carcinoma-by-computer-aided-phage-display-methodologies
#20
Franklin L Nobrega, Débora Ferreira, Ivone M Martins, Maria Suarez-Diez, Joana Azeredo, Leon D Kluskens, Lígia R Rodrigues
BACKGROUND: Claudin-low breast carcinoma represents 19% of all breast cancer cases and is characterized by an aggressive progression with metastatic nature and high rates of relapse. Due to a lack of known specific molecular biomarkers for this breast cancer subtype, there are no targeted therapies available, which results in the worst prognosis of all breast cancer subtypes. Hence, the identification of novel biomarkers for this type of breast cancer is highly relevant for an early diagnosis...
November 14, 2016: BMC Cancer
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