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Tumor texture

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https://www.readbyqxmd.com/read/28430603/tumor-heterogeneity-assessed-by-texture-analysis-on-contrast-enhanced-ct-in-lung-adenocarcinoma-association-with-pathologic-grade
#1
Ying Liu, Shichang Liu, Fangyuan Qu, Qian Li, Runfen Cheng, Zhaoxiang Ye
Objectives To investigate whether texture features on contrast-enhanced computed tomography (CECT) images of lung adenocarcinoma have association with pathologic grade.Methods A cohort of 148 patients with surgically operated adenocarcinoma was retrospectively reviewed. Fifty-four CT features of the primary lung tumor were extracted from CECT images using open-source 3D Slicer software; meanwhile, enhancement homogeneity was evaluated by two radiologists using visual assessment. Multivariate logistic regression analysis was performed to determine significant image indicator of pathologic grade...
February 16, 2017: Oncotarget
https://www.readbyqxmd.com/read/28426134/metastasis-detection-from-whole-slide-images-using-local-features-and-random-forests
#2
Mira Valkonen, Kimmo Kartasalo, Kaisa Liimatainen, Matti Nykter, Leena Latonen, Pekka Ruusuvuori
Digital pathology has led to a demand for automated detection of regions of interest, such as cancerous tissue, from scanned whole slide images. With accurate methods using image analysis and machine learning, significant speed-up, and savings in costs through increased throughput in histological assessment could be achieved. This article describes a machine learning approach for detection of cancerous tissue from scanned whole slide images. Our method is based on feature engineering and supervised learning with a random forest model...
April 20, 2017: Cytometry. Part A: the Journal of the International Society for Analytical Cytology
https://www.readbyqxmd.com/read/28426133/quantitative-phase-microscopy-spatial-signatures-of-cancer-cells
#3
Darina Roitshtain, Lauren Wolbromsky, Evgeny Bal, Hayit Greenspan, Lisa L Satterwhite, Natan T Shaked
We present cytometric classification of live healthy and cancerous cells by using the spatial morphological and textural information found in the label-free quantitative phase images of the cells. We compare both healthy cells to primary tumor cells and primary tumor cells to metastatic cancer cells, where tumor biopsies and normal tissues were isolated from the same individuals. To mimic analysis of liquid biopsies by flow cytometry, the cells were imaged while unattached to the substrate. We used low-coherence off-axis interferometric phase microscopy setup, which allows a single-exposure acquisition mode, and thus is suitable for quantitative imaging of dynamic cells during flow...
April 20, 2017: Cytometry. Part A: the Journal of the International Society for Analytical Cytology
https://www.readbyqxmd.com/read/28422299/incorporation-of-pre-therapy-18-f-fdg-uptake-data-with-ct-texture-features-into-a-radiomics-model-for-radiation-pneumonitis-diagnosis
#4
Gregory J Anthony, Alexandra Cunliffe, Richard Castillo, Ngoc Pham, Thomas Guerrero, Samuel G Armato, Hania Al-Hallaq
PURPOSE: To determine whether the addition of standardized uptake value (SUV) from PET scans to CT lung texture features could improve a radiomics-based model of radiation pneumonitis (RP) diagnosis in patients undergoing radiotherapy. METHODS AND MATERIALS: Anonymized data from 96 esophageal cancer patients (18 RP-positive cases of Grade ≥ 2) were collected including pre-therapy PET/CT scans, pre-/post-therapy diagnostic CT scans and RP status. Twenty texture features (first-order, fractal, Laws' filter and gray-level co-occurrence matrix) were calculated from diagnostic CT scans and compared in anatomically matched regions of the lung...
April 19, 2017: Medical Physics
https://www.readbyqxmd.com/read/28421244/texture-analysis-as-a-radiomic-marker-for-differentiating-renal-tumors
#5
HeiShun Yu, Jonathan Scalera, Maria Khalid, Anne-Sophie Touret, Nicolas Bloch, Baojun Li, Muhammad M Qureshi, Jorge A Soto, Stephan W Anderson
PURPOSE: To evaluate the utility of texture analysis for the differentiation of renal tumors, including the various renal cell carcinoma subtypes and oncocytoma. MATERIALS AND METHODS: Following IRB approval, a retrospective analysis was performed, including all patients with pathology-proven renal tumors and an abdominal computed tomography (CT) examination. CT images of the tumors were manually segmented, and texture analysis of the segmented tumors was performed...
April 18, 2017: Abdominal Radiology
https://www.readbyqxmd.com/read/28419171/ultrasound-texture-analysis-association-with-lymph-node-metastasis-of-papillary-thyroid-microcarcinoma
#6
Soo-Yeon Kim, Eunjung Lee, Se Jin Nam, Eun-Kyung Kim, Hee Jung Moon, Jung Hyun Yoon, Kyung Hwa Han, Jin Young Kwak
This retrospective study aimed to evaluate whether ultrasound texture analysis is useful to predict lymph node metastasis in patients with papillary thyroid microcarcinoma (PTMC). This study was approved by the Institutional Review Board, and the need to obtain informed consent was waived. Between May and July 2013, 361 patients (mean age, 43.8 ± 11.3 years; range, 16-72 years) who underwent staging ultrasound (US) and subsequent thyroidectomy for conventional PTMC ≤ 10 mm between May and July 2013 were included...
2017: PloS One
https://www.readbyqxmd.com/read/28409221/-18-fluorodeoxyglucose-positron-emission-tomography-for-the-textural-features-of-cervical-cancer-associated-with-lymph-node-metastasis-and-histological-type
#7
Wei-Chih Shen, Shang-Wen Chen, Ji-An Liang, Te-Chun Hsieh, Kuo-Yang Yen, Chia-Hung Kao
BACKGROUND: In this study, we investigated the correlation between the lymph node (LN) status or histological types and textural features of cervical cancers on (18)F-fluorodeoxyglucose positron emission tomography/computed tomography. METHODS: We retrospectively reviewed the imaging records of 170 patients with International Federation of Gynecology and Obstetrics stage IB-IVA cervical cancer. Four groups of textural features were studied in addition to the maximum standardized uptake value (SUVmax), metabolic tumor volume, and total lesion glycolysis (TLG)...
April 14, 2017: European Journal of Nuclear Medicine and Molecular Imaging
https://www.readbyqxmd.com/read/28379611/comparison-between-types-i-and-ii-epithelial-ovarian-cancer-using-histogram-analysis-of-monoexponential-biexponential-and-stretched-exponential-diffusion-models
#8
Feng Wang, Yuxiang Wang, Yan Zhou, Congrong Liu, Lizhi Xie, Zhenyu Zhou, Dong Liang, Yang Shen, Zhihang Yao, Jianyu Liu
PURPOSE: To evaluate the utility of histogram analysis of monoexponential, biexponential, and stretched-exponential models to a dualistic model of epithelial ovarian cancer (EOC). MATERIALS AND METHODS: Fifty-two patients with histopathologically proven EOC underwent preoperative magnetic resonance imaging (MRI) (including diffusion-weighted imaging [DWI] with 11 b-values) using a 3.0T system and were divided into two groups: types I and II. Apparent diffusion coefficient (ADC), true diffusion coefficient (D), pseudodiffusion coefficient (D*), perfusion fraction (f), distributed diffusion coefficient (DDC), and intravoxel water diffusion heterogeneity (α) histograms were obtained based on solid components of the entire tumor...
April 5, 2017: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/28376853/a-large-giant-cell-tumor-of-the-larynx-case-report-and-review-of-the-literature
#9
Andrew Arndt, Rachelle LeBlanc, Peter Spafford
BACKGROUND: Giant cell tumors (GCTs) are typically found in the metaphyseal-epiphyseal area of long bones but can also occur in the head and neck region. GCT of the larynx is a rare entity with only 42 reported cases in the international literature. Furthermore, to the best of our knowledge this is the largest laryngeal GCT reported in the literature to date. GCT of the larynx can present with dysphonia, dyspnea, and/or dysphagia and should be considered in the differential diagnosis of a neck mass...
April 4, 2017: Journal of Otolaryngology—Head & Neck Surgery
https://www.readbyqxmd.com/read/28376281/differentiation-of-fat-poor-angiomyolipoma-from-clear-cell-renal-cell-carcinoma-in-contrast-enhanced-mdct-images-using-quantitative-feature-classification
#10
Han Sang Lee, Helen Hong, Dae Chul Jung, Seunghyun Park, Junmo Kim
PURPOSE: To develop a computer-aided classification system to differentiate benign fat-poor angiomyolipoma (fp-AML) from malignant clear-cell renal cell carcinoma (ccRCC) using quantitative feature classification on histogram and texture patterns from contrast-enhanced multi-detector computer tomography (CE MDCT) images. METHODS: A dataset including 50 CE MDCT images of 25 fp-AML and 25 ccRCC patients was used. From these images, the tumors were manually segmented by an expert radiologist to define the regions of interest (ROI)...
April 4, 2017: Medical Physics
https://www.readbyqxmd.com/read/28373718/delta-radiomics-features-for-the-prediction-of-patient-outcomes-in-non-small-cell-lung-cancer
#11
Xenia Fave, Lifei Zhang, Jinzhong Yang, Dennis Mackin, Peter Balter, Daniel Gomez, David Followill, Aaron Kyle Jones, Francesco Stingo, Zhongxing Liao, Radhe Mohan, Laurence Court
Radiomics is the use of quantitative imaging features extracted from medical images to characterize tumor pathology or heterogeneity. Features measured at pretreatment have successfully predicted patient outcomes in numerous cancer sites. This project was designed to determine whether radiomics features measured from non-small cell lung cancer (NSCLC) change during therapy and whether those features (delta-radiomics features) can improve prognostic models. Features were calculated from pretreatment and weekly intra-treatment computed tomography images for 107 patients with stage III NSCLC...
April 3, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28371772/spatial-evidential-clustering-with-adaptive-distance-metric-for-tumor-segmentation-in-fdg-pet-images
#12
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
While the accurate delineation of tumor volumes in FDG-PET is a vital task for diverse objectives in clinical oncology, noise and blur due to the imaging system make it a challenging work. In this paper, we propose to address the imprecision and noise inherent in PET using Dempster-Shafer theory, a powerful tool for modeling and reasoning with uncertain and/or imprecise information. Based on Dempster-Shafer theory, a novel evidential clustering algorithm is proposed and tailored for the tumor segmentation task in 3D...
March 30, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28371260/phenotypic-spectrum-of-costello-syndrome-individuals-harboring-the-rare-hras-mutation-p-gly13asp
#13
Débora Bertola, Michelle Buscarilli, Deborah L Stabley, Laura Baker, Daniel Doyle, Dennis W Bartholomew, Katia Sol-Church, Karen W Gripp
Costello syndrome is part of the RASopathies, a group of neurocardiofaciocutaneous syndromes caused by deregulation of the RAS mitogen-activated protein kinase pathway. Heterozygous mutations in HRAS are responsible for Costello syndrome, with more than 80% of the patients harboring the specific p.Gly12Ser variant. These individuals show a homogeneous phenotype. The clinical characteristics of the Costello syndrome individuals harboring rarer HRAS mutations are less understood, due to the small number of reported cases...
May 2017: American Journal of Medical Genetics. Part A
https://www.readbyqxmd.com/read/28367618/regulation-of-drug-release-by-tuning-surface-textures-of-biodegradable-polymer-microparticles
#14
Mubashir Hussain, Jun Xie, Zaiyan Hou, Khurram Shezad, Jiangping Xu, Ke Wang, Yujie Gao, Lei Shen, Jintao Zhu
Generally, size, uniformity, shape, and surface chemistry of biodegradable polymer particles will significantly affect the drug-release behavior in vitro and in vivo. In this study, uniform poly(d,l-lactic-co-glycolide) (PLGA) and PLGA-b-poly(ethylene glycol) (PLGA-b-PEG) microparticles with tunable surface textures were generated by combining the interfacial instabilities of emulsion droplet and polymer-blending strategy. Monodisperse emulsion droplets containing polymers were generated through the microfluidic flow-focusing technique...
April 11, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28342323/computer-aided-tumor-diagnosis-using-shear-wave-breast-elastography
#15
Woo Kyung Moon, Yao-Sian Huang, Yan-Wei Lee, Shao-Chien Chang, Chung-Ming Lo, Min-Chun Yang, Min Sun Bae, Su Hyun Lee, Jung Min Chang, Chiun-Sheng Huang, Yi-Ting Lin, Ruey-Feng Chang
The shear wave elastography (SWE) uses the acoustic radiation force to measure the stiffness of tissues and is less operator dependent in data acquisition compared to strain elastography. However, the reproducibility of the result is still interpreter dependent. The purpose of this study is to develop a computer-aided diagnosis (CAD) method to differentiate benign from malignant breast tumors using SWE images. After applying the level set method to automatically segment the tumor contour and hue-saturation-value color transformation, SWE features including average tissue elasticity, sectional stiffness ratio, and normalized minimum distance for grouped stiffer pixels are calculated...
March 15, 2017: Ultrasonics
https://www.readbyqxmd.com/read/28339588/mri-features-predict-survival-and-molecular-markers-in-diffuse-lower-grade-gliomas
#16
Hao Zhou, Martin Vallières, Harrison X Bai, Chang Su, Haiyun Tang, Derek Oldridge, Zishu Zhang, Bo Xiao, Weihua Liao, Yongguang Tao, Jianhua Zhou, Paul Zhang, Li Yang
Background.: Previous studies have shown that MR imaging features can be used to predict survival and molecular profile of glioblastoma. However, no study of a similar type has been performed on lower-grade gliomas (LGGs). Methods.: Presurgical MRIs of 165 patients with diffuse low- and intermediate-grade gliomas (histological grades II and III) were scored according to the Visually Accessible Rembrandt Images (VASARI) annotations. Radiomic models using automated texture analysis and VASARI features were built to predict isocitrate dehydrogenase 1 (IDH1) mutation, 1p/19q codeletion status, histological grade, and tumor progression...
January 24, 2017: Neuro-oncology
https://www.readbyqxmd.com/read/28336974/pet-radiomics-in-nsclc-state-of-the-art-and-a-proposal-for-harmonization-of-methodology
#17
M Sollini, L Cozzi, L Antunovic, A Chiti, M Kirienko
Imaging with positron emission tomography (PET)/computed tomography (CT) is crucial in the management of cancer because of its value in tumor staging, response assessment, restaging, prognosis and treatment responsiveness prediction. In the last years, interest has grown in texture analysis which provides an "in-vivo" lesion characterization, and predictive information in several malignances including NSCLC; however several drawbacks and limitations affect these studies, especially because of lack of standardization in features calculation, definitions and methodology reporting...
March 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28327449/integrated-local-binary-pattern-texture-features-for-classification-of-breast-tissue-imaged-by-optical-coherence-microscopy
#18
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
#19
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
#20
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 2017: Lasers in Surgery and Medicine
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