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https://www.readbyqxmd.com/read/28327449/integrated-local-binary-pattern-texture-features-for-classification-of-breast-tissue-imaged-by-optical-coherence-microscopy
#1
Sunhua Wan, Hsiang-Chieh Lee, Xiaolei Huang, Ting Xu, Tao Xu, Xianxu Zeng, Zhan Zhang, Yuri Sheikine, James L Connolly, James G Fujimoto, Chao Zhou
This paper proposes a texture analysis technique that can effectively classify different types of human breast tissue imaged by Optical Coherence Microscopy (OCM). OCM is an emerging imaging modality for rapid tissue screening and has the potential to provide high resolution microscopic images that approach those of histology. OCM images, acquired without tissue staining, however, pose unique challenges to image analysis and pattern classification. We examined multiple types of texture features and found Local Binary Pattern (LBP) features to perform better in classifying tissues imaged by OCM...
March 8, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28324966/random-forests-to-predict-tumor-recurrence-following-cervical-cancer-therapy-using-pre-and-per-treatment-18-f-fdg-pet-parameters
#2
Geoffrey Roman-Jimenez, Oscar Acosta, Julie Leseur, Anne Devillers, Henri Der Sarkissian, Lina Guzman, Eloi'se Grossiord, Juan-David Ospina, Renaud De Crevoisier
The ability to predict tumor recurrence after chemoradiotherapy of locally advanced cervical cancer is a crucial clinical issue to intensify the treatment of the most high-risk patients. The objective of this study was to investigate tumor metabolism characteristics extracted from pre- and per-treatment (18)F-FDG PET images to predict 3-year overall recurrence (OR). A total of 53 locally advanced cervical cancer patients underwent pre- and per-treatment (18)F-FDG PET (respectively PET1 and PET2). Tumor metabolism was characterized through several delineations using different thresholds, based on a percentage of the maximum uptake, and applied by region-growing...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28319274/intraoperative-optical-coherence-tomography-for-soft-tissue-sarcoma-differentiation-and-margin-identification
#3
Kelly J Mesa, Laura E Selmic, Paritosh Pande, Guillermo L Monroy, Jennifer Reagan, Jonathan Samuelson, Elizabeth Driskell, Joanne Li, Marina Marjanovic, Eric J Chaney, Stephen A Boppart
BACKGROUND AND OBJECTIVE: Sarcomas are rare but highly aggressive tumors, and local recurrence after surgical excision can occur in up to 50% cases. Therefore, there is a strong clinical need for accurate tissue differentiation and margin assessment to reduce incomplete resection and local recurrence. The purpose of this study was to investigate the use of optical coherence tomography (OCT) and a novel image texture-based processing algorithm to differentiate sarcoma from muscle and adipose tissue...
March 20, 2017: Lasers in Surgery and Medicine
https://www.readbyqxmd.com/read/28319177/radiological-features-of-primitive-neuroectodermal-tumors-in-intra-abdominal-and-retroperitoneal-regions-a-series-of-18-cases
#4
Xiaoping Yi, Wenguang Liu, Youming Zhang, Desheng Xiao, Hongling Yin, Xueying Long, Li Li, Hongyan Zai, Minfeng Chen, Wenzheng Li, Lunquan Sun
OBJECTIVES: To characterize the imaging and clinicopathological features of primitive neuroectodermal tumors (PNETs) arising in intra-abdominal and retroperitoneal regions. METHODS: Eighteen patients with histopathologically proven intra-abdominal and retroperitoneal PNET were enrolled; computed tomography was performed for all cases, and magnetic resonance imaging was performed for a single case. Typical computed tomography and magnetic resonance imaging findings, including morphology, texture and enhancement features, as well as clinicopathological characteristics and prognosis data were retrospectively analyzed...
2017: PloS One
https://www.readbyqxmd.com/read/28282591/a-novel-computer-aided-diagnosis-system-for-breast-mri-based-on-feature-selection-and-ensemble-learning
#5
Wei Lu, Zhe Li, Jinghui Chu
Breast cancer is a common cancer among women. With the development of modern medical science and information technology, medical imaging techniques have an increasingly important role in the early detection and diagnosis of breast cancer. In this paper, we propose an automated computer-aided diagnosis (CADx) framework for magnetic resonance imaging (MRI). The scheme consists of an ensemble of several machine learning-based techniques, including ensemble under-sampling (EUS) for imbalanced data processing, the Relief algorithm for feature selection, the subspace method for providing data diversity, and Adaboost for improving the performance of base classifiers...
March 6, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28282392/predictive-value-of-initial-fdg-pet-features-for-treatment-response-and-survival-in-esophageal-cancer-patients-treated-with-chemo-radiation-therapy-using-a-random-forest-classifier
#6
Paul Desbordes, Su Ruan, Romain Modzelewski, Pascal Pineau, Sébastien Vauclin, Pierrick Gouel, Pierre Michel, Frédéric Di Fiore, Pierre Vera, Isabelle Gardin
PURPOSE: In oncology, texture features extracted from positron emission tomography with 18-fluorodeoxyglucose images (FDG-PET) are of increasing interest for predictive and prognostic studies, leading to several tens of features per tumor. To select the best features, the use of a random forest (RF) classifier was investigated. METHODS: Sixty-five patients with an esophageal cancer treated with a combined chemo-radiation therapy were retrospectively included. All patients underwent a pretreatment whole-body FDG-PET...
2017: PloS One
https://www.readbyqxmd.com/read/28280617/identifying-prognostic-intratumor-heterogeneity-using-pre-and-post-radiotherapy-18f-fdg-pet-images-for-pancreatic-cancer-patients
#7
Yong Yue, Arsen Osipov, Benedick Fraass, Howard Sandler, Xiao Zhang, Nicholas Nissen, Andrew Hendifar, Richard Tuli
BACKGROUND: To stratify risks of pancreatic adenocarcinoma (PA) patients using pre- and post-radiotherapy (RT) PET/CT images, and to assess the prognostic value of texture variations in predicting therapy response of patients. METHODS: Twenty-six PA patients treated with RT from 2011-2013 with pre- and post-treatment 18F-FDG-PET/CT scans were identified. Tumor locoregional texture was calculated using 3D kernel-based approach, and texture variations were identified by fitting discrepancies of texture maps of pre- and post-treatment images...
February 2017: Journal of Gastrointestinal Oncology
https://www.readbyqxmd.com/read/28270999/fully-automated-diagnosis-of-papilledema-through-robust-extraction-of-vascular-patterns-and-ocular-pathology-from-fundus-photographs
#8
Khush Naseeb Fatima, Taimur Hassan, M Usman Akram, Mahmood Akhtar, Wasi Haider Butt
Rapid development in the field of ophthalmology has increased the demand of computer aided diagnosis of various eye diseases. Papilledema is an eye disease in which the optic disc of the eye is swelled due to an increase in intracranial pressure. This increased pressure can cause severe encephalic complications like abscess, tumors, meningitis or encephalitis, which may lead to a patient's death. Although there have been several papilledema case studies reported from a medical point of view, only a few researchers have presented automated algorithms for this problem...
February 1, 2017: Biomedical Optics Express
https://www.readbyqxmd.com/read/28269606/automatic-segmentation-of-multimodal-brain-tumor-images-based-on-classification-of-super-voxels
#9
M Kadkhodaei, S Samavi, N Karimi, H Mohaghegh, S M R Soroushmehr, K Ward, A All, K Najarian
Despite the rapid growth in brain tumor segmentation approaches, there are still many challenges in this field. Automatic segmentation of brain images has a critical role in decreasing the burden of manual labeling and increasing robustness of brain tumor diagnosis. We consider segmentation of glioma tumors, which have a wide variation in size, shape and appearance properties. In this paper images are enhanced and normalized to same scale in a preprocessing step. The enhanced images are then segmented based on their intensities using 3D super-voxels...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269144/comparative-study-of-texture-features-in-oct-images-at-different-scales-for-human-breast-tissue-classification
#10
Yu Gan, Xinwen Yao, Ernest Chang, Syed Bin Amir, Hanina Hibshoosh, Sheldon Feldman, Christine P Hendon
Breast cancer is the second leading cause of death in women in the United States due to cancer. Early detection of breast cancerous regions will aid the diagnosis, staging, and treatment of breast cancer. Optical coherence tomography (OCT), a non-invasive imaging modality with high resolution, has been widely used to visualize various tissue types within the human breast and has demonstrated great potential for assessing tumor margins. Imaging large resected samples with a fast imaging speed can be accomplished by under-sampling in the spatial domain, resulting in a large image scale...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268995/low-frequency-ultrasound-radiosensitization-and-therapy-response-monitoring-of-tumors-an-in-vivo-study
#11
Ali Sadeghi-Naini, Martin Stanisz, Hadi Tadayyon, Jaswinder Taank, Gregory J Czarnota
A new framework has been introduced in this paper for tumor radiosensitization and therapy response monitoring using low-frequency ultrasound. Human fibrosarcoma xenografts grown in severe combined immunodeficiency (SCID) mice (n = 108) were treated using ultrasound-stimulated microbubbles at various concentration and exposed to different doses of radiation. Low-frequency ultrasound radiofrequency (RF) data were acquired from tumors prior to and at different times after treatment. Quantitative ultrasound (QUS) techniques were applied to generate spectral parametric maps of tumors...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268557/prediction-of-malignant-and-benign-of-lung-tumor-using-a-quantitative-radiomic-method
#12
Jun Wang, Xia Liu, Di Dong, Jiangdian Song, Min Xu, Yali Zang, Jie Tian
Lung cancer is the leading cause of cancer mortality around the world, the early diagnosis of lung cancer plays a very important role in therapeutic regimen selection. However, lung cancers are spatially and temporally heterogeneous; this limits the use of invasive biopsy. But radiomics which refers to the comprehensive quantification of tumour phenotypes by applying a large number of quantitative image features has the ability to capture intra-tumoural heterogeneity in a non-invasive way. Here we carry out a radiomic analysis of 150 features quantifying lung tumour image intensity, shape and texture...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268556/association-between-tumor-heterogeneity-and-progression-free-survival-in-non-small-cell-lung-cancer-patients-with-egfr-mutations-undergoing-tyrosine-kinase-inhibitors-therapy
#13
Jiangdian Song, Di Dong, Yanqi Huang, Yali Zang, Zaiyi Liu, Jie Tian
For non-small cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR) mutations, current staging methods do not accurately predict the risk of disease recurrence after tyrosine kinase inhibitors (TKI) therapy. Developing a noninvasive method to predict whether individual could benefit from TKI therapy has great clinical significance. In this research, a radiomics approach was proposed to determine whether the tumor heterogeneity of NSCLC, which was measured by the texture on computed tomography (CT), could make an independent prediction of progression-free survival (PFS)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28264146/visualization-and-tissue-classification-of-human-breast-cancer-images-using-ultrahigh-resolution-oct
#14
Xinwen Yao, Yu Gan, Ernest Chang, Hanina Hibshoosh, Sheldon Feldman, Christine Hendon
BACKGROUND AND OBJECTIVE: Breast cancer is one of the most common cancers, and recognized as the third leading cause of mortality in women. Optical coherence tomography (OCT) enables three dimensional visualization of biological tissue with micrometer level resolution at high speed, and can play an important role in early diagnosis and treatment guidance of breast cancer. In particular, ultra-high resolution (UHR) OCT provides images with better histological correlation. This paper compared UHR OCT performance with standard OCT in breast cancer imaging qualitatively and quantitatively...
March 6, 2017: Lasers in Surgery and Medicine
https://www.readbyqxmd.com/read/28261818/on-the-impact-of-smoothing-and-noise-on-robustness-of-ct-and-cbct-radiomics-features-for-patients-with-head-and-neck-cancers
#15
Hassan Bagher-Ebadian, Farzan Siddiqui, Liu Chang, Benjamin Movsas, Indrin J Chetty
PURPOSE: We investigated the characteristics of radiomics features extracted from planning CT (pCT) and cone beam CT (CBCT) image datasets acquired for 18 oropharyngeal cancer patients treated with fractionated radiation therapy. Images were subjected to smoothing, sharpening, and noise to evaluate changes in features relative to baseline datasets. METHODS: Textural features were extracted from tumor volumes, contoured on pCT and CBCT images, according to the following 8 different classes: Intensity Based Histogram Features (IBHF), Gray Level Run Length (GLRL), Law's Textural information (LAWS), Discrete Orthonormal Stockwell Transform (DOST), Local Binary Pattern (LBP), Two-Dimensional Wavelet Transform (2DWT), Two Dimensional Gabor Filter (2DGF), and Gray Level Co-Occurrence Matrix (GLCM)...
March 6, 2017: Medical Physics
https://www.readbyqxmd.com/read/28256615/associations-between-tumor-vascularity-vascular-endothelial-growth-factor-expression-and-pet-mri-radiomic-signatures-in-primary-clear-cell-renal-cell-carcinoma-proof-of-concept-study
#16
Qingbo Yin, Sheng-Che Hung, Li Wang, Weili Lin, Julia R Fielding, W Kimryn Rathmell, Amir H Khandani, Michael E Woods, Matthew I Milowsky, Samira A Brooks, Eric M Wallen, Dinggang Shen
Studies have shown that tumor angiogenesis is an essential process for tumor growth, proliferation and metastasis. Also, tumor angiogenesis is an important prognostic factor of clear cell renal cell carcinoma (ccRCC), as well as a factor in guiding treatment with antiangiogenic agents. Here, we attempted to find the associations between tumor angiogenesis and radiomic imaging features from PET/MRI. Specifically, sparse canonical correlation analysis was conducted on 3 feature datasets (i.e., radiomic imaging features, tumor microvascular density (MVD), and vascular endothelial growth factor (VEGF) expression) from 9 patients with primary ccRCC...
March 3, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28255033/mri-based-texture-analysis-to-differentiate-sinonasal-squamous-cell-carcinoma-from-inverted-papilloma
#17
S Ramkumar, S Ranjbar, S Ning, D Lal, C M Zwart, C P Wood, S M Weindling, T Wu, J R Mitchell, J Li, J M Hoxworth
BACKGROUND AND PURPOSE: Because sinonasal inverted papilloma can harbor squamous cell carcinoma, differentiating these tumors is relevant. The objectives of this study were to determine whether MR imaging-based texture analysis can accurately classify cases of noncoexistent squamous cell carcinoma and inverted papilloma and to compare this classification performance with neuroradiologists' review. MATERIALS AND METHODS: Adult patients who had inverted papilloma or squamous cell carcinoma resected were eligible (coexistent inverted papilloma and squamous cell carcinoma were excluded)...
March 2, 2017: AJNR. American Journal of Neuroradiology
https://www.readbyqxmd.com/read/28243706/bone-texture-analysis-using-ct-simulation-scans-to-individuate-risk-parameters-for-radiation-induced-insufficiency-fractures
#18
V Nardone, P Tini, S F Carbone, A Grassi, M Biondi, L Sebaste, T Carfagno, E Vanzi, G De Otto, G Battaglia, G Rubino, P Pastina, G Belmonte, L N Mazzoni, F Banci Buonamici, M A Mazzei, L Pirtoli
This study deals with the role of texture analysis as a predictive factor of radiation-induced insufficiency fractures in patients undergoing pelvic radiation. INTRODUCTION: This study aims to assess the texture analysis (TA) of computed tomography (CT) simulation scans as a predictive factor of insufficiency fractures (IFs) in patients with pelvic malignancies undergoing radiation therapy (RT). METHODS: We performed an analysis of patients undergoing pelvic RT from January 2010 to December 2014, 24 of whom had developed pelvic bone IFs...
February 27, 2017: Osteoporosis International
https://www.readbyqxmd.com/read/28231582/radiomics-in-head-and-neck-cancer-extracting-valuable-information-from-data-beyond-recognition
#19
Kathrin Scheckenbach, Lena Colter, Martin Wagenmann
In oncology, biomarkers that describe the characteristics of a malignancy on different levels (clinical, histological, molecular) and the patient's outcome and treatment response are increasingly integrated into the clinical routine. Extensive screening tools, "omics," offer incredible opportunities and vast amounts of data. During the last years, the field of "omics" gained a new promising partner, the "radiomics." Based on radiological imaging, multiple features can be extracted and linked to clinical, genomic, and histopathological data from other sources...
2017: ORL; Journal for Oto-rhino-laryngology and its related Specialties
https://www.readbyqxmd.com/read/28231577/response-evaluation-in-head-and-neck-oncology-definition-and-prediction
#20
T K Hoffmann, P J Schuler, S Laban, R Grässlin, M Beer, A J Beer, U Friebe-Hoffmann, L Bullinger, P Möller, T Wiegel
Curative treatment of head and neck squamous cell carcinoma includes surgery and/or (chemo)radiation, whereas in the palliative setting, chemotherapy and/or immunotherapy represent(s) the standard approach. With regard to quality control, methods for determining treatment response are sorely needed. For surgical therapy, histopathology is the standard quality control. Established criteria for high-risk patients include resection margins of the primary tumor and extracapsular extension of lymph node metastases...
2017: ORL; Journal for Oto-rhino-laryngology and its related Specialties
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