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https://www.readbyqxmd.com/read/28107565/idermatopath-a-novel-software-tool-for-mitosis-detection-in-h-e-stained-tissue-sections-of-malignant-melanoma
#1
C Andres, B Andres-Belloni, R Hein, T Biedermann, A Schäpe, N Brieu, R Schönmeyer, M Yigitsoy, J Ring, G Schmidt, N Harder
BACKGROUND: Malignant Melanoma (MM) is characterized by a growing incidence and a high malignant potential. Beside well defined prognostic factors such as tumor thickness and ulceration, the Mitotic Rate (MR) was included in the AJCC recommendations for diagnosis and treatment of MM. In daily routine, the identification of a single mitosis can be difficult on Hematoxylin&Eosin slides alone. Several studies showed a big inter- and intra-individual variability in detecting the MR in MM even by very experienced investigators, thus raising the question for a computer assisted method...
January 20, 2017: Journal of the European Academy of Dermatology and Venereology: JEADV
https://www.readbyqxmd.com/read/28104947/discontinuous-splenogonadal-fusion-diagnosed-on-computed-tomography
#2
Ravikanth Jakkani, Fayzah A Alhajri, Abdullattif Alteriki, Meshari F Almuteri, Reji P Athyal, Khaled Z Hashem
Splenogonadal fusion is a very rare congenital anomaly which often manifests as a scrotal mass and rarely as cryptorchidism. It can be of continuous and discontinuous type based on the presence of a band of connecting splenic tissue. We report a rare case of discontinuous type of splenogonadal fusion in an adolescent male presenting as cryptorchidism. We emphasize the computed tomographic findings, which helped us in preoperative diagnosis and aided in appropriate management.
October 2016: Indian Journal of Radiology & Imaging
https://www.readbyqxmd.com/read/28100097/spina-bifida-and-lower-limb-amputation-in-northern-ireland-a-retrospective-study-of-demographics-and-outcome
#3
Lorraine Graham
BACKGROUND: Spina bifida is an uncommon cause for lower limb amputation. The causes and level of amputation and mobility outcome for these patients have not been reported previously. CASE DESCRIPTION: To identify the causes and level of amputation and the mobility outcome for amputee patients with spina bifida. STUDY DESIGN: Retrospective case series. METHODS: Chart review of patients identified by computer as having an amputation secondary to neurological or congenital cause...
January 1, 2017: Prosthetics and Orthotics International
https://www.readbyqxmd.com/read/28098774/learning-to-diagnose-cirrhosis-with-liver-capsule-guided-ultrasound-image-classification
#4
Xiang Liu, Jia Lin Song, Shuo Hong Wang, Jing Wen Zhao, Yan Qiu Chen
This paper proposes a computer-aided cirrhosis diagnosis system to diagnose cirrhosis based on ultrasound images. We first propose a method to extract a liver capsule on an ultrasound image, then, based on the extracted liver capsule, we fine-tune a deep convolutional neural network (CNN) model to extract features from the image patches cropped around the liver capsules. Finally, a trained support vector machine (SVM) classifier is applied to classify the sample into normal or abnormal cases. Experimental results show that the proposed method can effectively extract the liver capsules and accurately classify the ultrasound images...
January 13, 2017: Sensors
https://www.readbyqxmd.com/read/28095493/thoracic-temporal-subtraction-three-dimensional-computed-tomography-3d-ct-screening-for-vertebral-metastases-of-primary-lung-cancers
#5
Shingo Iwano, Rintaro Ito, Hiroyasu Umakoshi, Takatoshi Karino, Tsutomu Inoue, Yuanzhong Li, Shinji Naganawa
PURPOSE: We developed an original, computer-aided diagnosis (CAD) software that subtracts the initial thoracic vertebral three-dimensional computed tomography (3D-CT) image from the follow-up 3D-CT image. The aim of this study was to investigate the efficacy of this CAD software during screening for vertebral metastases on follow-up CT images of primary lung cancer patients. MATERIALS AND METHODS: The interpretation experiment included 30 sets of follow-up CT scans in primary lung cancer patients and was performed by two readers (readers A and B), who each had 2...
2017: PloS One
https://www.readbyqxmd.com/read/28094850/discriminating-solitary-cysts-from-soft-tissue-lesions-in-mammography-using-a-pretrained-deep-convolutional-neural-network
#6
Thijs Kooi, Bram van Ginneken, Nico Karssemeijer, Ard den Heeten
PURPOSE: It is estimated that 7% of women in the western world will develop palpable breast cysts in their lifetime. Even though cysts have been correlated with risk of developing breast cancer, many of them are benign and do not require follow-up. We develop a method to discriminate benign solitary cysts from malignant masses in digital mammography. We think a system like this can have merit in the clinic as a decision aid or complementary to specialised modalities. METHODS: We employ a deep Convolutional Neural Network (CNN) to classify cyst and mass patches...
January 17, 2017: Medical Physics
https://www.readbyqxmd.com/read/28092609/horse-expert-an-aided-expert-system-for-diagnosing-horse-diseases
#7
H Qin, J Xiao, X Gao, H Wang
In contrast to the rapid development of the horse husbandry in China, the ability of horse veterinarians to diagnose diseases has not been improved and only a few domain experts have considerable expertise. At present, many expert systems have been developed for diseases diagnosis, but few for horse diseases diagnosis have been studied in depth. This paper presents the design and development of a computer-aided expert system for diagnosing horse diseases. We suggest an approach for diagnosis of horse diseases based on the analysis of diagnostic characteristics and the experiential knowledge of domain experts...
December 1, 2016: Polish Journal of Veterinary Sciences
https://www.readbyqxmd.com/read/28092585/saliency-based-lesion-segmentation-via-background-detection-in-dermoscopic-images
#8
Euijoon Ahn, Jinman Kim, Lei Bi, Ashnil Kumar, Changyang Li, Michael Fulham, Dagan Feng
The segmentation of skin lesions in dermoscopic images is a fundamental step in automated computer-aided diagnosis (CAD) of melanoma. Conventional segmentation methods, however, have difficulties when the lesion borders are indistinct and when contrast between the lesion and the surrounding skin is low. They also perform poorly when there is a heterogeneous background or a lesion that touches the image boundaries; this then results in under- and over-segmentation of the skin lesion. We suggest that saliency detection using the reconstruction errors derived from a sparse representation model coupled with a novel background detection can more accurately discriminate the lesion from surrounding regions...
January 16, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28089506/evaluation-of-the-predictive-value-of-placental-vascularisation-indices-derived-from-3-dimensional-power-doppler-whole-placental-volume-scanning-for-prediction-of-pre-eclampsia-a-systematic-review-and-meta-analysis
#9
K A Eastwood, C Patterson, A J Hunter, D R McCance, I S Young, V A Holmes
Pre-eclampsia remains a leading cause of maternal and fetal morbidity and mortality. This systematic review aims to evaluate the ability of placental vascularisation indices (PVIs) derived from 3D power Doppler whole placental volume scanning to predict early, late and any-onset pre-eclampsia (PE). The following databases were searched: MEDLINE, EMBASE and Web of Science. Studies selected for inclusion measured PVIs: Vascularisation Index (%) (VI) and/or Flow Index (FI) and/or Vascularisation Flow Index (VFI) derived from 3D power Doppler whole placental volume scanning via Virtual Organ Computer-aided Analysis (VOCAL) technique prior to diagnosis of PE...
January 5, 2017: Placenta
https://www.readbyqxmd.com/read/28087402/accuracy-is-in-the-eyes-of-the-pathologist-the-visual-interpretive-process-and-diagnostic-accuracy-with-digital-whole-slide-images
#10
Tad T Brunyé, Ezgi Mercan, Donald L Weaver, Joann G Elmore
Digital whole slide imaging is an increasingly common medium in pathology, with application to education, telemedicine, and rendering second opinions. It has also made it possible to use eye tracking devices to explore the dynamic visual inspection and interpretation of histopathological features of tissue while pathologists review cases. Using whole slide images, the present study examined how a pathologist's diagnosis is influenced by fixed case-level factors, their prior clinical experience, and their patterns of visual inspection...
January 10, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28087072/enhancing-delirium-case-definitions-in-electronic-health-records-using-clinical-free-text
#11
Thomas H McCoy, Deanna C Chaukos, Leslie A Snapper, Kamber L Hart, Theodore A Stern, Roy H Perlis
BACKGROUND: Delirium is an acute confusional state, associated with morbidity and mortality in diverse medically ill populations. Delirium is preventable and treatable when diagnosed but the diagnosis is often missed. This important and difficult diagnosis is an attractive candidate for computer-aided decision support if it can be reliably identified at scale. OBJECTIVE: Here, using an electronic health record-based case definition of delirium, we characterize incidence of this highly morbid condition in 2 large academic medical centers...
October 27, 2016: Psychosomatics
https://www.readbyqxmd.com/read/28086892/pressure-ulcer-image-segmentation-technique-through-synthetic-frequencies-generation-and-contrast-variation-using-toroidal-geometry
#12
Ortiz P David, Daniel Sierra-Sosa, Begoña García Zapirain
BACKGROUND: Pressure ulcers have become subject of study in recent years due to the treatment high costs and decreased life quality from patients. These chronic wounds are related to the global life expectancy increment, being the geriatric and physical disable patients the principal affected by this condition. Injuries diagnosis and treatment usually takes weeks or even months by medical personel. Using non-invasive techniques, such as image processing techniques, it is possible to conduct an analysis from ulcers and aid in its diagnosis...
January 6, 2017: Biomedical Engineering Online
https://www.readbyqxmd.com/read/28080907/unsedated-computed-tomography-for-diagnosis-of-pelvic-canal-obstruction-in-a-leopard-gecko-eublepharis-macularius
#13
Kelly DeCourcy, Eric T Hostnik, Josh Lorbach, Sue Knoblaugh
An adult leopard gecko ( Eublepharis macularius ) presented for lethargy, hyporexia, weight loss, decreased passage of waste, and a palpable caudal coelomic mass. Computed tomography showed a heterogeneous hyperattenuating (∼143 Hounsfield units) structure within the right caudal coelom. The distal colon-coprodeum lumen or urinary bladder was hypothesized as the most likely location for the heterogeneous structure. Medical support consisted of warm water and lubricant enema, as well as a heated environment...
December 2016: Journal of Zoo and Wildlife Medicine: Official Publication of the American Association of Zoo Veterinarians
https://www.readbyqxmd.com/read/28078507/quantitative-analysis-of-diffusion-weighted-magnetic-resonance-images-differentiation-between-prostate-cancer-and-normal-tissue-based-on-a-computer-aided-diagnosis-system
#14
Ge Gao, Chengyan Wang, Xiaodong Zhang, Juan Hu, Xuedong Yang, He Wang, Jue Zhang, Xiaoying Wang
Diffusion-weighted imaging (DWI) is considered to be one of the dominant modalities used in prostate cancer (PCa) detection and the assessment of lesion aggressiveness, especially for peripheral zone (PZ) PCa. Computer-aided diagnosis (CAD), which is capable of automatically extracting and evaluating image features, can integrate multiple parameters and improve the detection of PCa. In this study, 13 quantitative image features were extracted from DWI by CAD, and diagnostic efficacy was analyzed in both the PZ and transition zone (TZ)...
January 4, 2017: Science China. Life Sciences
https://www.readbyqxmd.com/read/28071987/a-computer-aided-diagnosis-system-using-artificial-intelligence-for-the-diagnosis-and-characterization-of-thyroid-nodules-on-ultrasound-initial-clinical-assessment
#15
Young Jun Choi, Jung Hwan Baek, Hye Sun Park, Woo Hyun Shim, Tae Yong Kim, YoungKee Shong, Jeong Hyun Lee
Background We describe an initial clinical assessment of a new, commercially available, computer-aided diagnosis (CAD) system using artificial intelligence (AI) for thyroid ultrasound, and evaluate its performance in the diagnosis of malignant thyroid nodules and categorization of nodule characteristics. Methods This prospective study protocol was reviewed and approved by the institutional review board. Patients with thyroid nodules with decisive diagnosis, whether benign or malignant on the basis of cytopathologic or US results, were consecutively enrolled from November 2015 to February 2016...
January 10, 2017: Thyroid: Official Journal of the American Thyroid Association
https://www.readbyqxmd.com/read/28070777/breast-ultrasound-image-segmentation-a-survey
#16
REVIEW
Qinghua Huang, Yaozhong Luo, Qiangzhi Zhang
PURPOSE: Breast cancer is the most common form of cancer among women worldwide. Ultrasound imaging is one of the most frequently used diagnostic tools to detect and classify abnormalities of the breast. Recently, computer-aided diagnosis (CAD) systems using ultrasound images have been developed to help radiologists to increase diagnosis accuracy. However, accurate ultrasound image segmentation remains a challenging problem due to various ultrasound artifacts. In this paper, we investigate approaches developed for breast ultrasound (BUS) image segmentation...
January 9, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28070776/computer-assisted-delineation-of-cerebral-infarct-from-diffusion-weighted-mri-using-gaussian-mixture-model
#17
Manas Kumar Nag, Subhranil Koley, Debarghya China, Anup Kumar Sadhu, Ravikanth Balaji, Siddharth Ghosh, Chandan Chakraborty
PURPOSE: Diffusion-weighted imaging (DWI) is a widely used medical imaging modality for diagnosis and monitoring of cerebral stroke. The identification of exact location of stroke lesion helps in perceiving its characteristics, an essential part of diagnosis and treatment planning. This task is challenging due to the typical shape of the stroke lesion. This paper proposes an efficient method for computer-aided delineation of stroke lesions from DWI images. METHOD: Proposed methodology comprises of three steps...
January 9, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28069288/diagnostic-imaging-of-the-hepatobiliary-system-an-update
#18
REVIEW
Angela J Marolf
Recent advances in diagnostic imaging of the hepatobiliary system include MRI, computed tomography (CT), contrast-enhanced ultrasound, and ultrasound elastography. With the advent of multislice CT scanners, sedated examinations in veterinary patients are feasible, increasing the utility of this imaging modality. CT and MRI provide additional information for dogs and cats with hepatobiliary diseases due to lack of superimposition of structures, operator dependence, and through intravenous contrast administration...
January 6, 2017: Veterinary Clinics of North America. Small Animal Practice
https://www.readbyqxmd.com/read/28063376/a-comprehensive-non-invasive-framework-for-diagnosing-prostate-cancer
#19
Islam Reda, Ahmed Shalaby, Mohammed Elmogy, Ahmed Abou Elfotouh, Fahmi Khalifa, Mohamed Abou El-Ghar, Ehsan Hosseini-Asl, Georgy Gimel'farb, Naoufel Werghi, Ayman El-Baz
Early detection of prostate cancer increases chances of patients' survival. Our automated non-invasive system for computer-aided diagnosis (CAD) of prostate cancer segments the prostate on diffusion-weighted magnetic resonance images (DW-MRI) acquired at different b-values, estimates its apparent diffusion coefficients (ADC), and classifies their descriptors - empirical cumulative distribution functions (CDF) - with a trained deep learning network. To segment the prostate, an evolving geometric (level-set-based) deformable model is guided by a speed function depending on intensity attributes extracted from the DW-MRI with nonnegative matrix factorization (NMF)...
December 23, 2016: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28058741/noncompaction-cardiomyopathy-the-role-of-advanced-multimodality-imaging-techniques-in-diagnosis-and-assessment
#20
REVIEW
Lakshmi H Chebrolu, Anjlee M Mehta, Navin C Nanda
Noncompaction cardiomyopathy (NCCM) is a unique cardiomyopathy with a diverse array of genotypic and phenotypic manifestations. Its hallmark morphology consists of a bilayered myocardium with a compact epicardial layer and prominent trabeculations that comprise the noncompacted endocardial layer. The controversial diagnostic criteria for NCCM have been frequently discussed in the literature. This review touches on those diagnostic criteria, delves further into the evolving use of advanced imaging techniques within the major imaging modalities (echocardiography, computed tomography, and cardiac magnetic resonance imaging), and proposes an alternative algorithm incorporating these techniques for aiding with the diagnosis of NCCM...
January 6, 2017: Echocardiography
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