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Texture classification

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https://www.readbyqxmd.com/read/29327310/c-reactive-protein-on-postoperative-day-1-is-a-reliable-predictor-of-pancreas-specific-complications-after-pancreaticoduodenectomy
#1
Théophile Guilbaud, David Jérémie Birnbaum, Coralie Lemoine, Mircea Chirica, Olivier Risse, Stéphane Berdah, Edouard Girard, Vincent Moutardier
BACKGROUND: Postoperative pancreatic fistula and pancreas-specific complications have a significant influence on patient management and outcomes after pancreatoduodenectomy. The aim of the study was to assess the value of serum C-reactive protein on the postoperative day 1 as early predictor of pancreatic fistula and pancreas-specific complications. METHODS: Between 2013 and 2016, 110 patients underwent pancreaticoduodenectomy. Clinical, biological, intraoperative, and pathological characteristics were prospectively recorded...
January 4, 2018: Journal of Gastrointestinal Surgery: Official Journal of the Society for Surgery of the Alimentary Tract
https://www.readbyqxmd.com/read/29325682/computer-based-quantitative-computed-tomography-image-analysis-in-idiopathic-pulmonary-fibrosis-a-mini-review
#2
REVIEW
Hirotsugu Ohkubo, Hiroaki Nakagawa, Akio Niimi
Idiopathic pulmonary fibrosis (IPF) is the most common type of progressive idiopathic interstitial pneumonia in adults. Many computer-based image analysis methods of chest computed tomography (CT) used in patients with IPF include the mean CT value of the whole lungs, density histogram analysis, density mask technique, and texture classification methods. Most of these methods offer good assessment of pulmonary functions, disease progression, and mortality. Each method has merits that can be used in clinical practice...
January 2018: Respiratory Investigation
https://www.readbyqxmd.com/read/29322221/feasibility-of-opportunistic-osteoporosis-screening-in-routine-contrast-enhanced-multi-detector-computed-tomography-mdct-using-texture-analysis
#3
M R K Mookiah, A Rohrmeier, M Dieckmeyer, K Mei, F K Kopp, P B Noel, J S Kirschke, T Baum, K Subburaj
This study investigated the feasibility of opportunistic osteoporosis screening in routine contrast-enhanced MDCT exams using texture analysis. The results showed an acceptable reproducibility of texture features, and these features could discriminate healthy/osteoporotic fracture cohort with an accuracy of 83%. INTRODUCTION: This aim of this study is to investigate the feasibility of opportunistic osteoporosis screening in routine contrast-enhanced MDCT exams using texture analysis. METHODS: We performed texture analysis at the spine in routine MDCT exams and investigated the effect of intravenous contrast medium (IVCM) (n = 7), slice thickness (n = 7), the long-term reproducibility (n = 9), and the ability to differentiate healthy/osteoporotic fracture cohort (n = 9 age and gender matched pairs)...
January 10, 2018: Osteoporosis International
https://www.readbyqxmd.com/read/29314345/differentiation-between-vasogenic-edema-and-infiltrative-tumor-in-patients-with-high-grade-gliomas-using-texture-patch-based-analysis
#4
Moran Artzi, Gilad Liberman, Deborah T Blumenthal, Orna Aizenstein, Felix Bokstein, Dafna Ben Bashat
BACKGROUND: High-grade gliomas (HGGs) induce both vasogenic edema and extensive infiltration of tumor cells, both of which present with similar appearance on conventional MRI. Using current radiological criteria, differentiation between these tumoral and nontumoral areas within the nonenhancing lesion area remains challenging. PURPOSE: To use radiomics patch-based analysis, based on conventional MRI, for the classification of the nonenhancing lesion area in patients with HGG into tumoral and nontumoral components...
January 3, 2018: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/29307077/analysis-of-ct-features-and-quantitative-texture-analysis-in-patients-with-thymic-tumors-correlation-with-grading-and-staging
#5
Angelo Iannarelli, Beatrice Sacconi, Francesca Tomei, Marco Anile, Flavia Longo, Mario Bezzi, Alessandro Napoli, Luca Saba, Michele Anzidei, Giulia D'Ovidio, Roberto Scipione, Carlo Catalano
OBJECTIVES: To evaluate potential relationship between qualitative CT features, quantitative texture analysis (QTA), histology, WHO staging, Masaoka classification and myasthenic syndrome in patients with thymic tumors. MATERIALS AND METHODS: Sixteen patients affected by histologically proven thymic tumors were retrospectively included in the study population. Clinical information, with special regard to myasthenic syndrome and serological positivity of anti-AchR antibodies, were recorded...
January 6, 2018: La Radiologia Medica
https://www.readbyqxmd.com/read/29302127/census-independent-population-mapping-in-northern-nigeria
#6
Eric M Weber, Vincent Y Seaman, Robert N Stewart, Tomas J Bird, Andrew J Tatem, Jacob J McKee, Budhendra L Bhaduri, Jessica J Moehl, Andrew E Reith
Although remote sensing has long been used to aid in the estimation of population, it has usually been in the context of spatial disaggregation of national census data, with the census counts serving both as observational data for specifying models and as constraints on model outputs. Here we present a framework for estimating populations from the bottom up, entirely independently of national census data, a critical need in areas without recent and reliable census data. To make observations of population density, we replace national census data with a microcensus, in which we enumerate population for a sample of small areas within the states of Kano and Kaduna in northern Nigeria...
January 2018: Remote Sensing of Environment
https://www.readbyqxmd.com/read/29300429/dysphagia-in-hospitalized-older-patients-associated-factors-and-nutritional-interventions
#7
D Eglseer, R J G Halfens, J M G A Schols, C Lohrmann
OBJECTIVES: To (1) assess the association between dysphagia and malnutrition as well as other related factors and (2) investigate the nutritional interventions that are initiated in dysphagic older patients. DESIGN: Cross-sectional, multi-center point prevalence measurement. SETTING: 53 Austrian hospitals. PARTICIPANTS: 3174 hospitalized patients, 65 years or older. MEASUREMENTS: A standardized and tested questionnaire was used for the data collection, which was based on both inspections of the patients and information documented in the patient chart...
2018: Journal of Nutrition, Health & Aging
https://www.readbyqxmd.com/read/29300116/comparative-analysis-of-classification-based-algorithms-for-diabetes-diagnosis-using-iris-images
#8
Piyush Samant, Ravinder Agarwal
Photo-diagnosis is always an intriguing area for the researchers, with the advancement of image processing and computer machine vision techniques it have become more reliable and popular in recent years. The objective of this paper is to study the change in the features of iris, particularly irregularities in the pigmentation of certain areas of the iris with respect to diabetic health of an individual. Apart from the point that iris recognition concentrates on the overall structure of the iris, diagnostic techniques emphasises the local variations in the particular area of iris...
January 4, 2018: Journal of Medical Engineering & Technology
https://www.readbyqxmd.com/read/29298305/response-monitoring-of-breast-cancer-patients-receiving-neoadjuvant-chemotherapy-using-quantitative-ultrasound-texture-and-molecular-features
#9
Lakshmanan Sannachi, Mehrdad Gangeh, Hadi Tadayyon, Ali Sadeghi-Naini, Sonal Gandhi, Frances C Wright, Elzbieta Slodkowska, Belinda Curpen, William Tran, Gregory J Czarnota
BACKGROUND: Pathological response of breast cancer to chemotherapy is a prognostic indicator for long-term disease free and overall survival. Responses of locally advanced breast cancer in the neoadjuvant chemotherapy (NAC) settings are often variable, and the prediction of response is imperfect. The purpose of this study was to detect primary tumor responses early after the start of neoadjuvant chemotherapy using quantitative ultrasound (QUS), textural analysis and molecular features in patients with locally advanced breast cancer...
2018: PloS One
https://www.readbyqxmd.com/read/29297290/texture-based-skin-lesion-abruptness-quantification-to-detect-malignancy
#10
Recep Erol, Mustafa Bayraktar, Sinan Kockara, Sertan Kaya, Tansel Halic
BACKGROUND: Abruptness of pigment patterns at the periphery of a skin lesion is one of the most important dermoscopic features for detection of malignancy. In current clinical setting, abrupt cutoff of a skin lesion determined by an examination of a dermatologist. This process is subjective, nonquantitative, and error-prone. We present an improved computational model to quantitatively measure abruptness of a skin lesion over our previous method. To achieve this, we quantitatively analyze the texture features of a region within the lesion boundary...
December 28, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/29281701/deep-vector-based-convolutional-neural-network-approach-for-automatic-recognition-of-colonies-of-induced-pluripotent-stem-cells
#11
Muthu Subash Kavitha, Takio Kurita, Soon-Yong Park, Sung-Il Chien, Jae-Sung Bae, Byeong-Cheol Ahn
Pluripotent stem cells can potentially be used in clinical applications as a model for studying disease progress. This tracking of disease-causing events in cells requires constant assessment of the quality of stem cells. Existing approaches are inadequate for robust and automated differentiation of stem cell colonies. In this study, we developed a new model of vector-based convolutional neural network (V-CNN) with respect to extracted features of the induced pluripotent stem cell (iPSC) colony for distinguishing colony characteristics...
2017: PloS One
https://www.readbyqxmd.com/read/29279165/computer-aided-diagnosis-of-contrast-enhanced-spectral-mammography-a-feasibility-study
#12
Bhavika K Patel, Sara Ranjbar, Teresa Wu, Barbara A Pockaj, Jing Li, Nan Zhang, Mark Lobbes, Bin Zhang, J Ross Mitchell
OBJECTIVE: To evaluate whether the use of a computer-aided diagnosis-contrast-enhanced spectral mammography (CAD-CESM) tool can further increase the diagnostic performance of CESM compared with that of experienced radiologists. MATERIALS AND METHODS: This IRB-approved retrospective study analyzed 50 lesions described on CESM from August 2014 to December 2015. Histopathologic analyses, used as the criterion standard, revealed 24 benign and 26 malignant lesions. An expert breast radiologist manually outlined lesion boundaries on the different views...
January 2018: European Journal of Radiology
https://www.readbyqxmd.com/read/29274501/using-diffusion-mri-to-discriminate-areas-of-cortical-grey-matter
#13
Tharindu Ganepola, Zoltan Nagy, Aurobrata Ghosh, Theodore Papadopoulo, Daniel C Alexander, Martin I Sereno
Cortical area parcellation is a challenging problem that is often approached by combining structural imaging (e.g., quantitative T1, diffusion-based connectivity) with functional imaging (e.g., task activations, topological mapping, resting state correlations). Diffusion MRI (dMRI) has been widely adopted to analyse white matter microstructure, but scarcely used to distinguish grey matter regions because of the reduced anisotropy there. Nevertheless, differences in the texture of the cortical 'fabric' have long been mapped by histologists to distinguish cortical areas...
December 20, 2017: NeuroImage
https://www.readbyqxmd.com/read/29247171/computer-aided-nodule-assessment-and-risk-yield-canary-may-facilitate-non-invasive-prediction-of-egfr-mutation-status-in-lung-adenocarcinomas
#14
Ryan Clay, Benjamin R Kipp, Sarah Jenkins, Ron A Karwoski, Fabien Maldonado, Srinivasan Rajagopalan, Jesse S Voss, Brian J Bartholmai, Marie Christine Aubry, Tobias Peikert
Computer-Aided Nodule Assessment and Risk Yield (CANARY) is quantitative imaging analysis software that predicts the histopathological classification and post-treatment disease-free survival of patients with adenocarcinoma of the lung. CANARY characterizes nodules by the distribution of nine color-coded texture-based exemplars. We hypothesize that quantitative computed tomography (CT) analysis of the tumor and tumor-free surrounding lung facilitates non-invasive identification of clinically-relevant mutations in lung adenocarcinoma...
December 15, 2017: Scientific Reports
https://www.readbyqxmd.com/read/29226857/prostate-cancer-detection-using-machine-learning-techniques-by-employing-combination-of-features-extracting-strategies
#15
Lal Hussain, Adeel Ahmed, Sharjil Saeed, Saima Rathore, Imtiaz Ahmed Awan, Saeed Arif Shah, Abdul Majid, Adnan Idris, Anees Ahmed Awan
Prostate is a second leading causes of cancer deaths among men. Early detection of cancer can effectively reduce the rate of mortality caused by Prostate cancer. Due to high and multiresolution of MRIs from prostate cancer require a proper diagnostic systems and tools. In the past researchers developed Computer aided diagnosis (CAD) systems that help the radiologist to detect the abnormalities. In this research paper, we have employed novel Machine learning techniques such as Bayesian approach, Support vector machine (SVM) kernels: polynomial, radial base function (RBF) and Gaussian and Decision Tree for detecting prostate cancer...
November 28, 2017: Cancer Biomarkers: Section A of Disease Markers
https://www.readbyqxmd.com/read/29216209/preliminary-study-of-tumor-heterogeneity-in-imaging-predicts-two-year-survival-in-pancreatic-cancer-patients
#16
Jayasree Chakraborty, Liana Langdon-Embry, Kristen M Cunanan, Joanna G Escalon, Peter J Allen, Maeve A Lowery, Eileen M O'Reilly, Mithat Gönen, Richard G Do, Amber L Simpson
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers in the United States with a five-year survival rate of 7.2% for all stages. Although surgical resection is the only curative treatment, currently we are unable to differentiate between resectable patients with occult metastatic disease from those with potentially curable disease. Identification of patients with poor prognosis via early classification would help in initial management including the use of neoadjuvant chemotherapy or radiation, or in the choice of postoperative adjuvant therapy...
2017: PloS One
https://www.readbyqxmd.com/read/29215367/interperforator-flow-pattern-and-clinical-application-of-distal-extended-peroneal-artery-perforator-flaps
#17
Chengliang Deng, Bihua Wu, Zairong Wei, Hai Li, Tianhua Zhang, Dali Wang
INTRODUCTION: Peroneal artery perforator flaps are the most widely used pedicled flaps for soft tissue defects of the distal lower extremity. Most research regarding peroneal artery flaps focuses on the location, diameter, and number of peroneal artery perforators. However, there is little literature regarding interperforator flow patterns within the peroneal artery perforator flaps. The aims of the present study were to describe interperforator flow patterns of the distally based extended peroneal artery perforator flaps through digital subtraction angiography and review their clinical application...
December 5, 2017: Annals of Plastic Surgery
https://www.readbyqxmd.com/read/29204379/the-best-texture-features-for-leukocytes-recognition
#18
Omid Sarrafzadeh, Alireza M Dehnavi, Hossein Y Banaem, Ardeshir Talebi, Arshin Gharibi
Background: Differential counting of white blood cells (WBCs or leukocytes) is a common task to diagnose many diseases such as leukemia, and infections. An accurate process for recognizing leukocytes is to evaluate a blood smear under a microscope by an expert. Since, this procedure is manual, time-consuming and tedious, making the procedure automatic would overcome these problems. In an automated CAD (Computer-Aided-Design) system for this purpose, a crucial module is leukocytes recognition...
October 2017: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/29200821/spectropathology-corroborated-multimodal-quantitative-imaging-biomarkers-for-neuroretinal-degeneration-in-diabetic-retinopathy
#19
Arpan Guha Mazumder, Swarnadip Chatterjee, Saunak Chatterjee, Juan Jose Gonzalez, Swarnendu Bag, Sambuddha Ghosh, Anirban Mukherjee, Jyotirmoy Chatterjee
Introduction: Image-based early detection for diabetic retinopathy (DR) needs value addition due to lack of well-defined disease-specific quantitative imaging biomarkers (QIBs) for neuroretinal degeneration and spectropathological information at the systemic level. Retinal neurodegeneration is an early event in the pathogenesis of DR. Therefore, development of an integrated assessment method for detecting neuroretinal degeneration using spectropathology and QIBs is necessary for the early diagnosis of DR...
2017: Clinical Ophthalmology
https://www.readbyqxmd.com/read/29200686/an-investigation-of-bayes-algorithm-and-neural-networks-for-identifying-the-breast-cancer
#20
E Udayakumar, S Santhi, P Vetrivelan
Context: Breast cancer is a biggest threat to women. X-ray mammography is the most effective method for early detection and screening of breast cancer. It is a tough challenge for the radiologist in reading mammography since it does not provide consistent result every time. Aim: To improve the primary sign of this disease, computer-aided diagnosis schemes have been developed. Using monitor, digital images of mammography are displayed and they can be lightened or darkened before they are printed on the film...
July 2017: Indian Journal of Medical and Paediatric Oncology
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