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computer aided diagnosis

Irene Fondón, Auxiliadora Sarmiento, Ana Isabel García, María Silvestre, Catarina Eloy, António Polónia, Paulo Aguiar
Breast cancer is the second leading cause of cancer death among women. Its early diagnosis is extremely important to prevent avoidable deaths. However, malignancy assessment of tissue biopsies is complex and dependent on observer subjectivity. Moreover, hematoxylin and eosin (H&E)-stained histological images exhibit a highly variable appearance, even within the same malignancy level. In this paper, we propose a computer-aided diagnosis (CAD) tool for automated malignancy assessment of breast tissue samples based on the processing of histological images...
March 8, 2018: Computers in Biology and Medicine
Mario Silva, Cornelia M Schaefer-Prokop, Colin Jacobs, Giovanni Capretti, Francesco Ciompi, Bram van Ginneken, Ugo Pastorino, Nicola Sverzellati
OBJECTIVES: The aim of this study was to compare computer-aided diagnosis (CAD) and visual reading for the detection of subsolid nodules (SSNs) in volumetrl measuremic low-dose computed tomography (LDCT) for lung cancer screening. MATERIALS AND METHODS: Prospective visual detection (VD) and manuaent of SSN were performed in the 2303 baseline volumetric LDCTs of the Multicenter Italian Lung Detection trial. Baseline and 2- and 4-year LDCTs underwent retrospective CAD analysis, subsequently reviewed by 2 experienced thoracic radiologists...
March 14, 2018: Investigative Radiology
Ethan Leng, Benjamin Spilseth, Lin Zhang, Jin Jin, Joseph S Koopmeiners, Gregory J Metzger
PURPOSE: Computer-aided detection/diagnosis (CAD) of prostate cancer (PCa) on multipara-metric MRI (mpMRI) is an active area of research. In the literature, the performance of predictive models trained to detect PCa on mpMRI has typically been reported in terms of voxel-wise mea-sures such as sensitivity and specificity and/or area under the receiver operating curve (AUC).However, it is unclear whether models that score higher by these measures are actually superior.Here, we propose a novel method for lesion identification as well as novel measures that assess the quality of the detected lesions...
March 15, 2018: Medical Physics
I N Hirota, L S Alves, M G Gandolfi, M Félix, J J T Ranzani, C V S Brandão
The objective of this study was to describe the reference values of cranial measurements of capybaras, correlating the ocular orbit with the nasolacrimal duct. The documentation of its results can contribute to standardizing characteristics of anatomical normality and favouring the correct diagnosis and treatment of changes. The capybara carcasses, maintained by freezing, were distributed in two groups (G) designated GA (n = 12) adult animals (A) and GY (n = 13) for young animals (Y). All subjects underwent dacryocystography examination by computed tomography (CT) and cranial measurements...
March 12, 2018: Anatomia, Histologia, Embryologia
Akanksha Juneja, Bharti Rana, R K Agrawal
BACKGROUND AND OBJECTIVES: Schizophrenia is a severe brain disorder primarily diagnosed through externally observed behavioural symptoms due to the dearth of established clinical tests. Functional magnetic resonance imaging (fMRI) can capture the distortions caused by schizophrenia in the brain activation. Hence, it can be useful for developing a decision model that performs computer-aided diagnosis of schizophrenia. But, fMRI data is huge in dimension. Therefore dimension reduction is indispensable...
March 2018: Computer Methods and Programs in Biomedicine
Wei Keat Tey, Ye Chow Kuang, Melanie Po-Leen Ooi, Joon Joon Khoo
Interstitial fibrosis in renal biopsy samples is a scarring tissue structure that may be visually quantified by pathologists as an indicator to the presence and extent of chronic kidney disease. The standard method of quantification by visual evaluation presents reproducibility issues in the diagnoses. This study proposes an automated quantification system for measuring the amount of interstitial fibrosis in renal biopsy images as a consistent basis of comparison among pathologists. The system extracts and segments the renal tissue structures based on colour information and structural assumptions of the tissue structures...
March 2018: Computer Methods and Programs in Biomedicine
Rui Li
Patient data in clinical research often includes large amounts of structured information, such as neuroimaging data, neuropsychological test results, and demographic variables. Given the various sources of information, we can develop computerized methods that can be a great help to clinicians to discover hidden patterns in the data. The computerized methods often employ data mining and machine learning algorithms, lending themselves as the computer-aided diagnosis (CAD) tool that assists clinicians in making diagnostic decisions...
2018: Methods in Molecular Biology
Rominder Grover, Mickael Ohana, Chesnal Dey Arepalli, Stephanie L Sellers, John Mooney, Shaw-Hua Kueh, Ung Kim, Philipp Blanke, Jonathon A Leipsic
PURPOSE OF REVIEW: Recent advancements in transcatheter valvular interventions have resulted in a growing demand for advanced cardiac imaging to help guide these procedures. RECENT FINDINGS: Both echocardiography and multi-detector computed tomography have played essential roles in the maturation of transcatheter aortic valve replacement and are now building on these experiences and helping inform the nascent field of transcatheter mitral interventions. Advanced imaging is essential to aid in the diagnosis and determination of the mechanism of mitral regurgitation...
March 6, 2018: Current Cardiology Reports
Amik Sodhi, Dipen Kadaria, April Practice McDonald, Adnan Khan, Krishna Gannamraj, Muthiah Muthiah
OBJECTIVES: The aim of this study was to determine the incidence of endobronchial lesions in patients presenting with hemoptysis. We also aimed to characterize features that would predict whether bronchoscopy would be useful. METHODS: A retrospective chart review was conducted on 185 consecutive patients who presented with hemoptysis from January 1, 2006 to December 31, 2015 at Methodist Le Bonheur Healthcare-affiliated hospitals in Memphis, Tennessee. Data collection included demographic information, description of hemoptysis, imaging results, bronchoscopy results, and the final diagnosis...
March 2018: Southern Medical Journal
Madhavi Tripathi, Atin Kumar, Chandrasekhar Bal
Neuroimaging (NI) in Parkinson's disease (PD) includes functional techniques like positron emission tomography (PET) and single photon emission computed tomography (SPECT), and morphological imaging using magnetic resonance imaging (MRI) and transcranial sonography to probe different aspects of the neurobiology of PD. Changes in neurotransmitters in various regions of the brain and their influence on brain networks is the basis for the motor symptoms of PD which are interrogated by NI. The recent Movement Disorders Society Clinical Diagnostic Criteria for PD (MDS-PD) have included the results of a few of these neuroimaging techniques to serve as single supportive criteria or absolute exclusion criteria for the diagnosis of PD...
March 2018: Neurology India
Tomasy Sarosiek, Małgorzata Stelmaszuk
Small intestine tumors are rarely diagnosed as they constitute only 0.6% of all malignant tumors, including about 1-3% of malignant neoplasms of the gastrointestinal tract. They also advocate for 0.2% of deaths caused by malignant tumors. Factors that increase the risk of disease include Crohn's disease, familial adenomatous polyposis (FAP), Lynch syndrome (HNPCC - hereditary non-polyposis colorectal cancer), Peuz-Jeghers syndrome, celiac disease and acquired immunodeficiency syndrome (AIDS). Diagnosis of small intestinal tumors is difficult because the symptoms reported by patients are not characteristic...
February 23, 2018: Polski Merkuriusz Lekarski: Organ Polskiego Towarzystwa Lekarskiego
Zhipeng Li, Yifeng Wang, Cheng-Chu Zeng, Li-Ming Hu, Xing-Jie Liang
Melanoma is a highly aggressive malignancy and early monitoring and diagnosis are challenging at present. Tyrosinase is overexpressed in melanoma and regarded as an important biological marker for diagnosis and treatment. Thus, the selective and sensitive detection of tyrosinase is of great significance. To date, a few fluorescent probes have been reported for the detection of tyrosinase in vitro or in vivo. However, a highly sensitive near-infrared probe for tyrosinase monitoring is still missing. In this study, the Gibbs free energy change of different urea bonds during spontaneous hydrolysis is analysed with the aid of chemical thermodynamic computation...
March 1, 2018: Analytical Chemistry
Amy Farkas, Michael Steiner, Henry Giles, Kristen Miller
Pulmonary sling is the anatomic variant defined by the aberrant origin of the left pulmonary artery from the right pulmonary artery. This patient presented with a mimic of pulmonary sling as a result of an extremely rare condition, arterial tortuosity syndrome (ATS). The patient was first diagnosed with pulmonary sling on prenatal echocardiogram performed by cardiology. Computed tomography angiography of the chest obtained at birth to evaluate respiratory depression demonstrated ATS. The early detection of ATS has been demonstrated to improve patient outcome...
February 2018: Radiology Case Reports
Jun Wu, Cui Wang, Ming Li, Cong Luo, Xing Liu, Lina Xie, Ling He, Mengjia Gong, Zujie Hu, Anthony J Bleyer, Yuanyuan Zhang
OBJECTIVE: This study aimed to investigate the application of 3D computed tomography (CT) angiography with a novel post-processing technique in diagnosis of malignant bone tumors in children. METHODS: Twenty-seven pediatric patients (15 males and 12 females; average age: 10±3.4 years old, with a range from 2 months to 14 years old) with suspected bone tumors were evaluated histopathologically using 3D CT angiography and a multislice scanner. CT angiography image data were analyzed with a novel post-processing technique that included separating, fusing opacifying false-coloring, and volume rendering...
2018: Journal of X-ray Science and Technology
Mohammed A Al-Masni, Mugahed A Al-Antari, Jeong-Min Park, Geon Gi, Tae-Yeon Kim, Patricio Rivera, Edwin Valarezo, Mun-Taek Choi, Seung-Moo Han, Tae-Seong Kim
BACKGROUND AND OBJECTIVE: Automatic detection and classification of the masses in mammograms are still a big challenge and play a crucial role to assist radiologists for accurate diagnosis. In this paper, we propose a novel Computer-Aided Diagnosis (CAD) system based on one of the regional deep learning techniques, a ROI-based Convolutional Neural Network (CNN) which is called You Only Look Once (YOLO). Although most previous studies only deal with classification of masses, our proposed YOLO-based CAD system can handle detection and classification simultaneously in one framework...
April 2018: Computer Methods and Programs in Biomedicine
Helena R Torres, Sandro Queirós, Pedro Morais, Bruno Oliveira, Jaime C Fonseca, João L Vilaça
BACKGROUND AND OBJECTIVE: Segmentation is an essential step in computer-aided diagnosis and treatment planning of kidney diseases. In recent years, several researchers proposed multiple techniques to segment the kidney in medical images from distinct imaging acquisition systems, namely ultrasound, magnetic resonance, and computed tomography. This article aims to present a systematic review of the different methodologies developed for kidney segmentation. METHODS: With this work, it is intended to analyze and categorize the different kidney segmentation algorithms, establishing a comparison between them and discussing the most appropriate methods for each modality...
April 2018: Computer Methods and Programs in Biomedicine
Hussam Ali, Mussarat Yasmin, Muhammad Sharif, Mubashir Husain Rehmani
BACKGROUND AND OBJECTIVE: The early diagnosis of stomach cancer can be performed by using a proper screening procedure. Chromoendoscopy (CH) is an image-enhanced video endoscopy technique, which is used for inspection of the gastrointestinal-tract by spraying dyes to highlight the gastric mucosal structures. An endoscopy session can end up with generating a large number of video frames. Therefore, inspection of every individual endoscopic-frame is an exhaustive task for the medical experts...
April 2018: Computer Methods and Programs in Biomedicine
Hiba Chougrad, Hamid Zouaki, Omar Alheyane
BACKGROUND AND OBJECTIVE: Radiologists often have a hard time classifying mammography mass lesions which leads to unnecessary breast biopsies to remove suspicions and this ends up adding exorbitant expenses to an already burdened patient and health care system. METHODS: In this paper we developed a Computer-aided Diagnosis (CAD) system based on deep Convolutional Neural Networks (CNN) that aims to help the radiologist classify mammography mass lesions. Deep learning usually requires large datasets to train networks of a certain depth from scratch...
April 2018: Computer Methods and Programs in Biomedicine
Tao Wan, Xiaoqing Shang, Weilin Yang, Jianhui Chen, Deyu Li, Zengchang Qin
BACKGROUND AND OBJECTIVE: Coronary artery segmentation is a fundamental step for a computer-aided diagnosis system to be developed to assist cardiothoracic radiologists in detecting coronary artery diseases. Manual delineation of the vasculature becomes tedious or even impossible with a large number of images acquired in the daily life clinic. A new computerized image-based segmentation method is presented for automatically extracting coronary arteries from angiography images. METHODS: A combination of a multiscale-based adaptive Hessian-based enhancement method and a statistical region merging technique provides a simple and effective way to improve the complex vessel structures as well as thin vessel delineation which often missed by other segmentation methods...
April 2018: Computer Methods and Programs in Biomedicine
Alvaro David Orjuela-Cañón, Jorge Eliécer Camargo Mendoza, Carlos Enrique Awad García, Erika Paola Vergara Vela
BACKGROUND AND OBJECTIVE: Pulmonary tuberculosis is a world emergency for the World Health Organization. Techniques and new diagnosis tools are important to battle this bacterial infection. There have been many advances in all those fields, but in developing countries such as Colombia, where the resources and infrastructure are limited, new fast and less expensive strategies are increasingly needed. Artificial neural networks are computational intelligence techniques that can be used in this kind of problems and offer additional support in the tuberculosis diagnosis process, providing a tool to medical staff to make decisions about management of subjects under suspicious of tuberculosis...
April 2018: Computer Methods and Programs in Biomedicine
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