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https://www.readbyqxmd.com/read/28931420/presence-of-periaortic-gas-in-clostridium-septicum-infected-aortic-aneurysm-aids-in-early-diagnosis-a-case-report-and-systematic-review-of-the-literature
#1
Fumihito Ito, Ryota Inokuchi, Akinori Matsumoto, Yoshibumi Kumada, Hideyuki Yokoyama, Tokiya Ishida, Katsuhiko Hashimoto, Masashi Narita, Kazuaki Shinohara
BACKGROUND: Clostridium septicum-infected aortic aneurysm is a fatal and rare disease. We present a fatal case of C. septicum-infected aortic aneurysm and a pertinent literature review with treatment suggestions for reducing mortality rates. CASE PRESENTATION: A 58-year-old Japanese man with an unremarkable medical history presented with a 3-day history of mild weakness in both legs, and experienced paraplegia and paresthesia a day before admission. Upon recognition of signs of an abdominal aortic aneurysm and paraplegia, we suspected an occluded Adamkiewicz artery and performed a contrast-enhanced computed tomography scan, which revealed an aortic aneurysm with periaortic gas extending from his chest to his abdomen and both kidneys...
September 21, 2017: Journal of Medical Case Reports
https://www.readbyqxmd.com/read/28924571/tracking-and-diameter-estimation-of-retinal-vessels-using-gaussian-process-and-radon-transform
#2
Masoud Elhami Asl, Navid Alemi Koohbanani, Alejandro F Frangi, Ali Gooya
Extraction of blood vessels in retinal images is an important step for computer-aided diagnosis of ophthalmic pathologies. We propose an approach for blood vessel tracking and diameter estimation. We hypothesize that the curvature and the diameter of blood vessels are Gaussian processes (GPs). Local Radon transform, which is robust against noise, is subsequently used to compute the features and train the GPs. By learning the kernelized covariance matrix from training data, vessel direction and its diameter are estimated...
July 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28916930/tongue-image-analysis-and-its-mobile-app-development-for-health-diagnosis
#3
Ratchadaporn Kanawong, Tayo Obafemi-Ajayi, Dahai Liu, Meng Zhang, Dong Xu, Ye Duan
Computer-aided diagnosis provides a medical procedure that assists physicians in interpretation of medical images. This work focuses on computer-aided tongue image analysis specifically, based on Traditional Chinese Medicine (TCM). Tongue diagnosis is an important component of TCM. Computerized tongue diagnosis can aid medical practitioners in capturing quantitative features to improve reliability and consistency of diagnosis. Recently, researchers have started to develop computer-aided tongue analysis algorithms based on new advancement in digital photogrammetry, image analysis, and pattern recognition technologies...
2017: Advances in Experimental Medicine and Biology
https://www.readbyqxmd.com/read/28894762/mirank-knn-multiple-instance-retrieval-of-clinically-relevant-diabetic-retinopathy-images
#4
Parag Shridhar Chandakkar, Ragav Venkatesan, Baoxin Li
Diabetic retinopathy (DR) is a consequence of diabetes and is the leading cause of blindness among 18- to 65-year-old adults. Regular screening is critical to early detection and treatment of DR. Computer-aided diagnosis has the potential of improving the practice in DR screening or diagnosis. An automated and unsupervised approach for retrieving clinically relevant images from a set of previously diagnosed fundus camera images for improving the efficiency of screening and diagnosis of DR is presented. Considering that DR lesions are often localized, we propose a multiclass multiple-instance framework for the retrieval task...
July 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28892296/tailored-approaches-in-drug-development-and-diagnostics-from-molecular-design-to-biological-model-systems
#5
REVIEW
Cecilia Sahlgren, Annika Meinander, Hongbo Zhang, Fang Cheng, Maren Preis, Chunlin Xu, Tiina A Salminen, Diana Toivola, Daniel Abankwa, Ari Rosling, Didem Şen Karaman, Outi M H Salo-Ahen, Ronald Österbacka, John E Eriksson, Stefan Willför, Ion Petre, Jouko Peltonen, Reko Leino, Mark Johnson, Jessica Rosenholm, Niklas Sandler
Approaches to increase the efficiency in developing drugs and diagnostics tools, including new drug delivery and diagnostic technologies, are needed for improved diagnosis and treatment of major diseases and health problems such as cancer, inflammatory diseases, chronic wounds, and antibiotic resistance. Development within several areas of research ranging from computational sciences, material sciences, bioengineering to biomedical sciences and bioimaging is needed to realize innovative drug development and diagnostic (DDD) approaches...
September 11, 2017: Advanced Healthcare Materials
https://www.readbyqxmd.com/read/28891818/machine-learning-support-to-individual-diagnosis-of-mild-cognitive-impairment-using-multimodal-mri-and-cognitive-assessments
#6
Matteo De Marco, Leandro Beltrachini, Alberto Biancardi, Alejandro F Frangi, Annalena Venneri
BACKGROUND: Understanding whether the cognitive profile of a patient indicates mild cognitive impairment (MCI) or performance levels within normality is often a clinical challenge. The use of resting-state functional magnetic resonance imaging (RS-fMRI) and machine learning may represent valid aids in clinical settings for the identification of MCI patients. METHODS: Machine-learning models were computed to test the classificatory accuracy of cognitive, volumetric [structural magnetic resonance imaging (sMRI)] and blood oxygen level dependent-connectivity (extracted from RS-fMRI) features, in single-modality and mixed classifiers...
September 7, 2017: Alzheimer Disease and Associated Disorders
https://www.readbyqxmd.com/read/28891217/reproducibility-of-f18-fdg-pet-radiomic-features-for-different-cervical-tumor-segmentation-methods-gray-level-discretization-and-reconstruction-algorithms
#7
Baderaldeen A Altazi, Geoffrey G Zhang, Daniel C Fernandez, Michael E Montejo, Dylan Hunt, Joan Werner, Matthew C Biagioli, Eduardo G Moros
Site-specific investigations of the role of radiomics in cancer diagnosis and therapy are emerging. We evaluated the reproducibility of radiomic features extracted from (18) Flourine-fluorodeoxyglucose ((18) F-FDG) PET images for three parameters: manual versus computer-aided segmentation methods, gray-level discretization, and PET image reconstruction algorithms. Our cohort consisted of pretreatment PET/CT scans from 88 cervical cancer patients. Two board-certified radiation oncologists manually segmented the metabolic tumor volume (MTV1 and MTV2 ) for each patient...
September 11, 2017: Journal of Applied Clinical Medical Physics
https://www.readbyqxmd.com/read/28885766/computer-assisted-cytologic-diagnosis-in-pancreatic-fna-an-application-of-neural-networks-to-image-analysis
#8
Amir Momeni-Boroujeni, Elham Yousefi, Jonathan Somma
BACKGROUND: Fine-needle aspiration (FNA) biopsy is an accurate method for the diagnosis of solid pancreatic masses. However, a significant number of cases still pose a diagnostic challenge. The authors have attempted to design a computer model to aid in the diagnosis of these biopsies. METHODS: Images were captured of cell clusters on ThinPrep slides from 75 pancreatic FNA cases (20 malignant, 24 benign, and 31 atypical). A K-means clustering algorithm was used to segment the cell clusters into separable regions of interest before extracting features similar to those used for cytomorphologic assessment...
September 8, 2017: Cancer
https://www.readbyqxmd.com/read/28884381/development-of-a-computer-aided-differential-diagnosis-system-to-distinguish-between-usual-interstitial-pneumonia-and-non-specific-interstitial-pneumonia-using-texture-and-shape-based-hierarchical-classifiers-on-hrct-images
#9
SangHoon Jun, BeomHee Park, Joon Beom Seo, SangMin Lee, Namkug Kim
A computer-aided differential diagnosis (CADD) system that distinguishes between usual interstitial pneumonia (UIP) and non-specific interstitial pneumonia (NSIP) using high-resolution computed tomography (HRCT) images was developed, and its results compared against the decision of a radiologist. Six local interstitial lung disease patterns in the images were determined, and 900 typical regions of interest were marked by an experienced radiologist. A support vector machine classifier was used to train and label the regions of interest of the lung parenchyma based on the texture and shape characteristics...
September 7, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28874149/comparison-of-computed-tomography-and-high-field-3-0%C3%A2-t-magnetic-resonance-imaging-of-age-related-variances-in-selected-equine-maxillary-cheek-teeth-and-adjacent-tissues
#10
Christin Schoppe, Maren Hellige, Karl Rohn, Bernhard Ohnesorge, Astrid Bienert-Zeit
BACKGROUND: Modern imaging techniques such as computed tomography (CT) and magnetic resonance imaging (MRI) have the advantage of producing images without superimposition. Whilst CT is a well-established technique for dental diagnostics, MRI examinations are rarely used for the evaluation of dental diseases in horses. Regarding equine endodontic therapies which are increasingly implemented, MRI could help to portray changes of the periodontal ligament and display gross pulpar anatomy...
September 6, 2017: BMC Veterinary Research
https://www.readbyqxmd.com/read/28872442/added-value-of-computer-aided-ct-image-features-for-early-lung-cancer-diagnosis-with-small-pulmonary-nodules-a-matched-case-control-study
#11
Peng Huang, Seyoun Park, Rongkai Yan, Junghoon Lee, Linda C Chu, Cheng T Lin, Amira Hussien, Joshua Rathmell, Brett Thomas, Chen Chen, Russell Hales, David S Ettinger, Malcolm Brock, Ping Hu, Elliot K Fishman, Edward Gabrielson, Stephen Lam
Purpose To test whether computer-aided diagnosis (CAD) approaches can increase the positive predictive value (PPV) and reduce the false-positive rate in lung cancer screening for small nodules compared with human reading by thoracic radiologists. Materials and Methods A matched case-control sample of low-dose computed tomography (CT) studies in 186 participants with 4-20-mm noncalcified lung nodules who underwent biopsy in the National Lung Screening Trial (NLST) was selected. Variables used for matching were age, sex, smoking status, chronic obstructive pulmonary disease status, body mass index, study year of the positive screening test, and screening results...
September 5, 2017: Radiology
https://www.readbyqxmd.com/read/28870432/the-pseudo-ct-myelogram-sign-an-aid-to-the-diagnosis-of-underlying-brain-stem-and-spinal-cord-trauma-in-the-presence-of-major-craniocervical-region-injury-on-post-mortem-ct
#12
F Bolster, Z Ali, B Daly
AIM: To document the detection of underlying low-attenuation spinal cord or brain stem injuries in the presence of the "pseudo-CT myelogram sign" (PCMS) on post-mortem computed tomography (PMCT). MATERIALS AND METHODS: The PCMS was identified on PMCT in 20 decedents (11 male, nine female; age 3-83 years, mean age 35.3 years) following fatal blunt trauma at a single forensic centre. Osseous and ligamentous craniocervical region injuries and brain stem or spinal cord trauma detectable on PMCT were recorded...
September 1, 2017: Clinical Radiology
https://www.readbyqxmd.com/read/28864824/automatic-categorization-and-scoring-of-solid-part-solid-and-non-solid-pulmonary-nodules-in-ct-images-with-convolutional-neural-network
#13
Xiaoguang Tu, Mei Xie, Jingjing Gao, Zheng Ma, Daiqiang Chen, Qingfeng Wang, Samuel G Finlayson, Yangming Ou, Jie-Zhi Cheng
We present a computer-aided diagnosis system (CADx) for the automatic categorization of solid, part-solid and non-solid nodules in pulmonary computerized tomography images using a Convolutional Neural Network (CNN). Provided with only a two-dimensional region of interest (ROI) surrounding each nodule, our CNN automatically reasons from image context to discover informative computational features. As a result, no image segmentation processing is needed for further analysis of nodule attenuation, allowing our system to avoid potential errors caused by inaccurate image processing...
September 1, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28859252/open-access-database-of-raw-ultrasonic-signals-acquired-from-malignant-and-benign-breast-lesions
#14
Hanna Piotrzkowska-Wróblewska, Katarzyna Dobruch-Sobczak, Michał Byra, Andrzej Nowicki
PURPOSE: The aim of this paper is to provide access to a database consisting of the raw radio-frequency ultrasonic echoes acquired from malignant and benign breast lesions. The database is freely available for study and signal analysis. ACQUISITION AND VALIDATION METHODS: The ultrasonic radio-frequency echoes were recorded from breast focal lesions of patients of the Institute of Oncology in Warsaw. The data were collected between 11/2013 and 10/2015. Patients were examined by a radiologist with 18 years' experience in the ultrasonic examination of breast lesions...
August 31, 2017: Medical Physics
https://www.readbyqxmd.com/read/28842811/imaging-of-claudin-4-in-pancreatic-ductal-adenocarcinoma-using-a-radiolabelled-anti-claudin-4-monoclonal-antibody
#15
Julia Baguña Torres, James C Knight, Michael J Mosley, Veerle Kersemans, Sofia Koustoulidou, Danny Allen, Paul Kinchesh, Sean Smart, Bart Cornelissen
PURPOSE: Despite its widespread use, the positron emission tomography (PET) radiotracer 2-deoxy-2-[(18)F]fluoro-D-glucose ([(18)F]FDG) has been shown in clinical settings to be ineffective for improving early diagnosis of pancreatic ductal adenocarcinoma (PDAC). A promising biomarker for PDAC detection is the tight junction protein claudin-4. The purpose of this study was to evaluate a new single-photon emission computed tomography (SPECT) imaging agent, [(111)In]anti-claudin-4 mAb, with regard to its ability to allow visualisation of claudin-4 in a xenograft and a genetically engineered mouse model of PDAC...
August 25, 2017: Molecular Imaging and Biology: MIB: the Official Publication of the Academy of Molecular Imaging
https://www.readbyqxmd.com/read/28840172/multimodality-registration-of-two-dimensional-echocardiography-and-cardiac-ct-for-mitral-valve-diagnosis-and-surgical-planning
#16
Azira Khalil, Amir Faisal, Siew-Cheok Ng, Yih Miin Liew, Khin Wee Lai
A registration method to fuse two-dimensional (2-D) echocardiography images with cardiac computed tomography (CT) volume is presented. The method consists of two major procedures: temporal and spatial registrations. In temporal registration, the echocardiography frames at similar cardiac phases as the CT volume were interpolated based on electrocardiogram signal information, and the noise of the echocardiography image was reduced using the speckle reducing anisotropic diffusion technique. For spatial registration, an intensity-based normalized mutual information method was applied with a pattern search optimization algorithm to produce an interpolated cardiac CT image...
July 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28821993/segmentation-of-breast-ultrasound-images-based-on-active-contours-using-neutrosophic-theory
#17
Mahsa Lotfollahi, Masoumeh Gity, Jing Yong Ye, A Mahlooji Far
PURPOSE: Ultrasound imaging is an effective approach for diagnosing breast cancer, but it is highly operator-dependent. Recent advances in computer-aided diagnosis have suggested that it can assist physicians in diagnosis. Definition of the region of interest before computer analysis is still needed. Since manual outlining of the tumor contour is tedious and time-consuming for a physician, developing an automatic segmentation method is important for clinical application. METHODS: The present paper represents a novel method to segment breast ultrasound images...
August 18, 2017: Journal of Medical Ultrasonics
https://www.readbyqxmd.com/read/28817592/using-k-dependence-causal-forest-to-mine-the-most-significant-dependency-relationships-among-clinical-variables-for-thyroid-disease-diagnosis
#18
LiMin Wang, FangYuan Cao, ShuangCheng Wang, MingHui Sun, LiYan Dong
Numerous data mining models have been proposed to construct computer-aided medical expert systems. Bayesian network classifiers (BNCs) are more distinct and understandable than other models. To graphically describe the dependency relationships among clinical variables for thyroid disease diagnosis and ensure the rationality of the diagnosis results, the proposed k-dependence causal forest (KCF) model generates a series of submodels in the framework of maximum spanning tree (MST) and demonstrates stronger dependence representation...
2017: PloS One
https://www.readbyqxmd.com/read/28816186/reliability-of-orthopantomography-and-cone-beam-computed-tomography-in-presurgical-implant-planning-a-clinical-study
#19
Jasjit Sahota, Aditya Bhatia, Megha Gupta, Vishal Singh, Juhi Soni, Richa Soni
BACKGROUND: Preoperative diagnosis and treatment planning are fundamental requirements to ensure success rate of implant. Cone-beam computed tomography (CBCT) provides all three dimensions and has been proved as a tool for radiology, especially in the success of implant. This study was conducted to evaluate the reliability of orthopantomography (OPG) and CBCT in presurgical implant planning. MATERIALS AND METHODS: The study was conducted on 110 partially or completely edentulous adult patients (male 50 and female 60)...
August 1, 2017: Journal of Contemporary Dental Practice
https://www.readbyqxmd.com/read/28814248/pediatric-abdominal-trauma
#20
Tim Lynch
Abdominal trauma is present in approximately 25% of pediatric patients with major trauma and is the most common cause of unrecognized fatal injury in children. Pediatric abdominal trauma is typically blunt in nature with the spleen being the most common organ injured. Non-operative management is employed in over 95% of patients. Penetrating injuries are less common but often require operative management. Knowledge of specific mechanisms of injury aids the clinician in the diagnosis of specific injuries. Computed tomography (CT) is the gold standard in the identification of intra-abdominal injury...
August 14, 2017: Current Pediatric Reviews
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