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https://www.readbyqxmd.com/read/28713507/multi-arrhythmias-detection-with-an-xml-rule-based-system-from-12-lead-electrocardiogram
#1
Abdeldjalil Khelassi, Sarra-Nassira Yelles-Chaouche, Faiza Benais
BACKGROUND: The computer-aided detection of cardiac arrhythmias stills a crucial application in medical technologies. The rule based systems RBS ensure a high level of transparency and interpretability of the obtained results. AIM: To facilitate the diagnosis of the cardiologists and to reduce the uncertainty made in this diagnosis. METHODS: In this research article, we have realized a classification and automatic recognition of cardiac arrhythmias, by using XML rules that represent the cardiologist knowledge...
May 2017: Electronic Physician
https://www.readbyqxmd.com/read/28707546/a-computer-aided-diagnosis-cad-scheme-for-pretreatment-prediction-of-pathological-response-to-neoadjuvant-therapy-using-dynamic-contrast-enhanced-mri-texture-features
#2
Valentina Giannini, Simone Mazzetti, Agnese Marmo, Filippo Montemurro, Daniele Regge, Laura Martincich
OBJECTIVES: To assess whether a computer aided diagnosis (CAD) system can predict pathological response (pCR) to neoadjuvant chemotherapy (NAC) prior to treatment using texture features. MATERIALS AND METHODS: Response to treatment of 44 patients was defined according to the histopatology of resected tumour and extracted axillary nodes in two ways: a) pCR+ (Smith's grade=5) vs pCR- (Smith's grade<5); b) pCRN+ (pCR+ and absence of residual lymph node metastases) vs pCRN-...
July 14, 2017: British Journal of Radiology
https://www.readbyqxmd.com/read/28704562/cerebral-18f-fdg-pet-in-macrophagic-myofasciitis-an-individual-svm-based-approach
#3
Paul Blanc-Durand, Axel Van Der Gucht, Eric Guedj, Mukedaisi Abulizi, Mehdi Aoun-Sebaiti, Lionel Lerman, Antoine Verger, François-Jérôme Authier, Emmanuel Itti
INTRODUCTION: Macrophagic myofasciitis (MMF) is an emerging condition with highly specific myopathological alterations. A peculiar spatial pattern of a cerebral glucose hypometabolism involving occipito-temporal cortex and cerebellum have been reported in patients with MMF; however, the full pattern is not systematically present in routine interpretation of scans, and with varying degrees of severity depending on the cognitive profile of patients. Aim was to generate and evaluate a support vector machine (SVM) procedure to classify patients between healthy or MMF 18F-FDG brain profiles...
2017: PloS One
https://www.readbyqxmd.com/read/28701833/anaplastic-large-cell-lymphoma-a-great-mimic-on-cytology
#4
Mona A Agnihotri, Kanchan S Kothari, Leena P Naik, Sharada Patil
Anaplastic large cell lymphoma (ALCL) is a T-cell lymphoma, accounting for <5% of non-Hodgkin's lymphoma. Cutaneous involvement can be primary or secondary arising in systemic ALCL. The diagnostic feature in both is the presence of pleomorphic, CD30 positive hallmark cells. We present a case of ALCL in a 19-year-old male presenting as an ulcerated scalp swelling. Clinical impression was actinomycosis or scrofuloderma. Cytology smears showed large dispersed pleomorphic cells with hyperlobated nuclei and multinucleated giant cells...
July 2017: Journal of Cytology
https://www.readbyqxmd.com/read/28700902/a-novel-algorithm-to-detect-glaucoma-risk-using-texton-and-local-configuration-pattern-features-extracted-from-fundus-images
#5
U Rajendra Acharya, Shreya Bhat, Joel E W Koh, Sulatha V Bhandary, Hojjat Adeli
Glaucoma is an optic neuropathy defined by characteristic damage to the optic nerve and accompanying visual field deficits. Early diagnosis and treatment are critical to prevent irreversible vision loss and ultimate blindness. Current techniques for computer-aided analysis of the optic nerve and retinal nerve fiber layer (RNFL) are expensive and require keen interpretation by trained specialists. Hence, an automated system is highly desirable for a cost-effective and accurate screening for the diagnosis of glaucoma...
June 29, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28697190/-18-f-fdg-pet-ct-and-histology-for-diagnosing-recurrent-remnant-tumors-in-head-and-neck-cancer-patients-treated-with-radiotherapy
#6
Eun Ji Han, Joo Hyun O, Ie Ryung Yoo, Yeon Sil Kim, Min Sik Kim, Jin Hyoung Kang, Woo Hee Choi
OBJECTIVE: The aim of this study was to assess the diagnostic performance of fluorine-18-fluoro-2-deoxyglucose ((18)F-FDG) positron emission tomography (PET)/computed tomography (CT) for locoregional recurrent/residual tumor in patients with head and neck cancer (HNC) who underwent previous radiotherapy (RT). SUBJECTS AND METHODS: (18)F-FDG PET/CT images from patients with HNC who previously underwent RT were retrospectively reviewed. Only cases with histological confirmation within 4 weeks of PET/CT imaging were included...
July 12, 2017: Hellenic Journal of Nuclear Medicine
https://www.readbyqxmd.com/read/28695342/thyroid-nodule-classification-in-ultrasound-images-by-fine-tuning-deep-convolutional-neural-network
#7
Jianning Chi, Ekta Walia, Paul Babyn, Jimmy Wang, Gary Groot, Mark Eramian
With many thyroid nodules being incidentally detected, it is important to identify as many malignant nodules as possible while excluding those that are highly likely to be benign from fine needle aspiration (FNA) biopsies or surgeries. This paper presents a computer-aided diagnosis (CAD) system for classifying thyroid nodules in ultrasound images. We use deep learning approach to extract features from thyroid ultrasound images. Ultrasound images are pre-processed to calibrate their scale and remove the artifacts...
July 10, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28689314/overview-of-deep-learning-in-medical-imaging
#8
REVIEW
Kenji Suzuki
The use of machine learning (ML) has been increasing rapidly in the medical imaging field, including computer-aided diagnosis (CAD), radiomics, and medical image analysis. Recently, an ML area called deep learning emerged in the computer vision field and became very popular in many fields. It started from an event in late 2012, when a deep-learning approach based on a convolutional neural network (CNN) won an overwhelming victory in the best-known worldwide computer vision competition, ImageNet Classification...
July 8, 2017: Radiological Physics and Technology
https://www.readbyqxmd.com/read/28688493/computer-aided-diagnosis-of-periapical-cyst-and-keratocystic-odontogenic-tumor-on-cone-beam-computed-tomography
#9
E Yilmaz, T Kayikcioglu, S Kayipmaz
BACKGROUND AND OBJECTIVES: In this article, we propose a decision support system for effective classification of dental periapical cyst and keratocystic odontogenic tumor (KCOT) lesions obtained via cone beam computed tomography (CBCT). CBCT has been effectively used in recent years for diagnosing dental pathologies and determining their boundaries and content. Unlike other imaging techniques, CBCT provides detailed and distinctive information about the pathologies by enabling a three-dimensional (3D) image of the region to be displayed...
July 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28687468/two-different-techniques-of-manufacturing-tmj-replacements-a-technical-report
#10
Marcin Kozakiewicz, Tomasz Wach, Piotr Szymor, Rafał Zieliński
INTRODUCTION: Presently, during the surgical treatment of the patients in maxillofacial surgery, one can use various medical implants. Moreover custom made implants are being used. Replacements may be fitted to the structure and shape of the human skull owing to CAD/CAM (custom aided design/manufacture) called customized implants. This study was aimed to report for the first time clinical material from which custom implants, using two different techniques, were manufactured to reconstruct the temporomandibular joint (TMJ)...
June 12, 2017: Journal of Cranio-maxillo-facial Surgery
https://www.readbyqxmd.com/read/28686923/rare-case-of-incarcerated-obturator-hernia-case-report-and-review-of-literature
#11
N C Sá, V C M Silva, P R L Carreiro, A S Matos Filho, I A Lombardi
INTRODUCTION: Obturator hernia is a rare condition accounting for less than 1% of all intra abdominal hernias. Clinical diagnosis is considered a challenge for most surgeons. It usually appears as an intestinal obstruction. Confirmation of diagnosis is carried out by means of imaging or during surgery. CASE REPORT: An 85-year-old female patient, with symptoms of intestinal obstruction of 24h duration was admitted to the emergency room of Unimed Hospital - Belo Horizonte...
June 23, 2017: International Journal of Surgery Case Reports
https://www.readbyqxmd.com/read/28681390/a-deep-feature-fusion-methodology-for-breast-cancer-diagnosis-demonstrated-on-three-imaging-modality-datasets
#12
Natalia Antropova, Benjamin Q Huynh, Maryellen L Giger
Deep learning methods for radiomics/computer-aided diagnosis (CADx) are often prohibited by small datasets, long computation time, and the need for extensive image preprocessing. We present a methodology that extracts and pools low- to mid-level features using a pre-trained convolutional neural network and fuses them with handcrafted radiomic features computed using conventional CADx methods. Our fusion-based method demonstrates significant improvements to previous breast cancer CADx methods across three clinical imaging modalities (dynamic contrast-enhanced MRI, full-field digital mammography, and ultrasound) in terms of predictive performance in the task of estimating lesion malignancy...
July 6, 2017: Medical Physics
https://www.readbyqxmd.com/read/28678737/functional-brain-mri-in-patients-complaining-of-electrohypersensitivity-after-long-term-exposure-to-electromagnetic-fields
#13
Gunnar Heuser, Sylvia A Heuser
INTRODUCTION: Ten adult patients with electromagnetic hypersensitivity underwent functional magnetic resonance imaging (fMRI) brain scans. All scans were abnormal with abnormalities which were consistent and similar. It is proposed that fMRI brain scans be used as a diagnostic aid for determining whether or not a patient has electromagnetic hypersensitivity. Over the years we have seen an increasing number of patients who had developed multi system complaints after long term repeated exposure to electromagnetic fields (EMFs)...
July 5, 2017: Reviews on Environmental Health
https://www.readbyqxmd.com/read/28675748/a-preliminary-study-for-the-assessment-of-hypertension-using-static-and-dynamic-ir-thermograms
#14
Jayanthi Thiruvengadam, Anburajan Mariamichael
Structural changes in blood vessels occur due to prolonged hypertension. Early detection of blood pressure (mm Hg) is essential for disease prevention. The aim of this work is to propose a computer-aided diagnostic (CADx) model for the diagnosis of hypertension using variables derived from non-contact static and dynamic thermal imaging in comparison with the pulse wave velocity (PWV)-derived parameters. Static and dynamic infrared (IR) thermograms of selected skin areas of the body from known hypertensive (n=14) and age- and sex-matched normal subjects were captured...
July 4, 2017: Biomedizinische Technik. Biomedical Engineering
https://www.readbyqxmd.com/read/28675570/predicting-the-level-of-tumor-infiltrating-lymphocytes-in-patients-with-triple-negative-breast-cancer-usefulness-of-breast-mri-computer-aided-detection-and-diagnosis
#15
You Jin Ku, Hak Hee Kim, Joo Hee Cha, Hee Jung Shin, Eun Young Chae, Woo Jung Choi, Hee Jin Lee, Gyungyub Gong
PURPOSE: To evaluate the usefulness of magnetic resonance imaging (MRI) computer-aided detection and diagnosis (CAD) for the detection of tumor-infiltrating lymphocytes (TILs) in triple-negative breast cancer (TNBC) patients. TNBC is a heterogeneous malignancy with a varying prognosis. Recently, the importance of TILs in TNBC has been determined. MATERIALS AND METHODS: We retrospectively enrolled 60 lesions of TNBC. Either at 1.5T or 3T MRI, including T1 , T2 -weighted, and dynamic contrast-enhanced, images were obtained...
July 4, 2017: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/28658869/role-of-multi-detector-computed-tomography-mdct-in-preoperative-staging-of-pancreatic-carcinoma
#16
Soumil Singhal, Nirmal Kumar Prabhu, Pulkit Sethi, Srikanth Moorthy
INTRODUCTION: Pancreatic carcinoma is one of the leading causes of cancer related death in advanced countries and has shown rising trends in developing countries like India. Increase in the incidence has been linked to risk factors like lifestyle modification associated with increased alcohol consumption and rapid urbanization. Most patients at the time of diagnosis present with an advanced condition. Surgical resection offers the only chance for cure in them and imaging plays a crucial role in the early diagnosis of the condition...
May 2017: Journal of Clinical and Diagnostic Research: JCDR
https://www.readbyqxmd.com/read/28657952/diagnosis-of-superior-semicircular-canal-dehiscence-in-the-presence-of-concomitant-otosclerosis
#17
Michael Yong, Erica Zaia, Brian Westerberg, Jane Lea
OBJECTIVE: To review three patients with concurrent otosclerosis and superior canal dehiscence identified before operative intervention and provide a practical diagnostic approach to this clinical scenario. STUDY DESIGN: Retrospective patient series. SETTING: Tertiary/quaternary referral center. PATIENTS: Individuals with confirmed diagnoses of concurrent otosclerosis and superior semicircular canal dehiscence syndrome...
June 27, 2017: Otology & Neurotology
https://www.readbyqxmd.com/read/28646155/breast-cancer-multi-classification-from-histopathological-images-with-structured-deep-learning-model
#18
Zhongyi Han, Benzheng Wei, Yuanjie Zheng, Yilong Yin, Kejian Li, Shuo Li
Automated breast cancer multi-classification from histopathological images plays a key role in computer-aided breast cancer diagnosis or prognosis. Breast cancer multi-classification is to identify subordinate classes of breast cancer (Ductal carcinoma, Fibroadenoma, Lobular carcinoma, etc.). However, breast cancer multi-classification from histopathological images faces two main challenges from: (1) the great difficulties in breast cancer multi-classification methods contrasting with the classification of binary classes (benign and malignant), and (2) the subtle differences in multiple classes due to the broad variability of high-resolution image appearances, high coherency of cancerous cells, and extensive inhomogeneity of color distribution...
June 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28634041/a-machine-learning-algorithm-toward-color-analysis-for-chronic-liver-disease-classification-employing-ultrasound-shear-wave-elastography
#19
Ilias Gatos, Stavros Tsantis, Stavros Spiliopoulos, Dimitris Karnabatidis, Ioannis Theotokas, Pavlos Zoumpoulis, Thanasis Loupas, John D Hazle, George C Kagadis
The purpose of the present study was to employ a computer-aided diagnosis system that classifies chronic liver disease (CLD) using ultrasound shear wave elastography (SWE) imaging, with a stiffness value-clustering and machine-learning algorithm. A clinical data set of 126 patients (56 healthy controls, 70 with CLD) was analyzed. First, an RGB-to-stiffness inverse mapping technique was employed. A five-cluster segmentation was then performed associating corresponding different-color regions with certain stiffness value ranges acquired from the SWE manufacturer-provided color bar...
June 17, 2017: Ultrasound in Medicine & Biology
https://www.readbyqxmd.com/read/28633151/age-based-normative-measurements-of-the-pediatric-pelvis
#20
Matthew E Oetgen, Steven Andelman, Benjamin D Martin
OBJECTIVES: Pediatric pelvic trauma is associated with high rates of morbidity and mortality. Current classifications do not take into account age-dependent quantitative differences of the pediatric pelvis making accurate diagnosis of pathologic diastasis of the pubic symphysis, sacroiliac (SI) joints, and triradiate cartilage difficult. The purpose of this study was to establish age-based normative values for the width of the pubic symphysis, SI joints, and the triradiate cartilage of the pediatric pelvis...
July 2017: Journal of Orthopaedic Trauma
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