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https://www.readbyqxmd.com/read/28629416/ct-texture-features-are-associated-with-overall-survival-in-pancreatic-ductal-adenocarcinoma-a-quantitative-analysis
#1
Armin Eilaghi, Sameer Baig, Yucheng Zhang, Junjie Zhang, Paul Karanicolas, Steven Gallinger, Farzad Khalvati, Masoom A Haider
BACKGROUND: To assess whether CT-derived texture features predict survival in patients undergoing resection for pancreatic ductal adenocarcinoma (PDAC). METHODS: Thirty patients with pre-operative CT from 2007 to 2012 for PDAC were included. Tumor size and five texture features namely uniformity, entropy, dissimilarity, correlation, and inverse difference normalized were calculated. Mann-Whitney rank sum test was used to compare tumor with normal pancreas. Receiver operating characteristics (ROC) analysis, Cox regression and Kaplan-Meier tests were used to assess association of texture features with overall survival (OS)...
June 19, 2017: BMC Medical Imaging
https://www.readbyqxmd.com/read/28625588/intraventricular-mass-lesions-still-a-question-of-surgical-approach
#2
Marvin Darkwah Oppong, Oliver Müller, Ramazan Jabbarli, Philipp Dammann, Ulrich Sure, Nicolai El Hindy
BACKGROUND: Intraventricular mass lesions represent a small subgroup of intracranial neoplasms with various entities. The anatomy of the ventricular system is complex. Hence multiple surgical approaches are used. We sought to present a single center algorithm regarding surgical approach for intraventricular mass lesion. METHODS: We retrospectively reviewed the data of all patients operated in our institution due to a primary intraventricular tumor between 2011 and 2014...
June 15, 2017: Journal of Clinical Neuroscience: Official Journal of the Neurosurgical Society of Australasia
https://www.readbyqxmd.com/read/28624025/quantitative-computed-tomography-texture-analysis-for-estimating-histological-subtypes-of-thymic-epithelial-tumors
#3
Koichiro Yasaka, Hiroyuki Akai, Masanori Nojima, Aya Shinozaki-Ushiku, Masashi Fukayama, Jun Nakajima, Kuni Ohtomo, Shigeru Kiryu
OBJECTIVES: To investigate whether high-risk thymic epithelial tumor (TET) (HTET) can be differentiated from low-risk TET (LTET) using computed tomography (CT) quantitative texture analysis. MATERIALS AND METHODS: The data of 39 patients (mean age, 58.6±14.1 years) (39 unenhanced CT (UECT) and 33 contrast-enhanced CT (CECT)) who underwent thymectomy for TET were retrospectively analyzed. A region of interest was placed to include the entire TET within the slice at its maximum diameter...
July 2017: European Journal of Radiology
https://www.readbyqxmd.com/read/28615677/associations-between-radiologist-defined-semantic-and-automatically-computed-radiomic-features-in-non-small-cell-lung-cancer
#4
Stephen S F Yip, Ying Liu, Chintan Parmar, Qian Li, Shichang Liu, Fangyuan Qu, Zhaoxiang Ye, Robert J Gillies, Hugo J W L Aerts
Tumor phenotypes captured in computed tomography (CT) images can be described qualitatively and quantitatively using radiologist-defined "semantic" and computer-derived "radiomic" features, respectively. While both types of features have shown to be promising predictors of prognosis, the association between these groups of features remains unclear. We investigated the associations between semantic and radiomic features in CT images of 258 non-small cell lung adenocarcinomas. The tumor imaging phenotypes were described using 9 qualitative semantic features that were scored by radiologists, and 57 quantitative radiomic features that were automatically calculated using mathematical algorithms...
June 14, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28612161/texture-analysis-of-fdg-pet-ct-for-differentiating-between-fdg-avid-benign-and-metastatic-adrenal-tumors-efficacy-of-combining-suv-and-texture-parameters
#5
Masatoyo Nakajo, Megumi Jinguji, Masayuki Nakajo, Tetsuya Shinaji, Yoshiaki Nakabeppu, Yoshihiko Fukukura, Takashi Yoshiura
PURPOSE: To retrospectively investigate the SUV-related and texture parameters individually and in combination for differentiating between F-18-fluorodeoxyglucose (FDG)-avid benign and metastatic adrenal tumors with PET/CT. METHODS: Thirteen benign adrenal tumors (BATs) and 22 metastatic adrenal tumors (MATs) with a metabolic tumor volume (MTV) > 10.0 cm(3) and SUV ≥ 2.5 were included. SUVmax, MTV, total lesion glycolysis, and four textural parameters [entropy, homogeneity, intensity variability (IV), and size-zone variability] were obtained...
June 13, 2017: Abdominal Radiology
https://www.readbyqxmd.com/read/28612050/a-rapid-segmentation-insensitive-digital-biopsy-method-for-radiomic-feature-extraction-method-and-pilot-study-using-ct-images-of-non-small-cell-lung-cancer
#6
Sebastian Echegaray, Viswam Nair, Michael Kadoch, Ann Leung, Daniel Rubin, Olivier Gevaert, Sandy Napel
Quantitative imaging approaches compute features within images' regions of interest. Segmentation is rarely completely automatic, requiring time-consuming editing by experts. We propose a new paradigm, called "digital biopsy," that allows for the collection of intensity- and texture-based features from these regions at least 1 order of magnitude faster than the current manual or semiautomated methods. A radiologist reviewed automated segmentations of lung nodules from 100 preoperative volume computed tomography scans of patients with non-small cell lung cancer, and manually adjusted the nodule boundaries in each section, to be used as a reference standard, requiring up to 45 minutes per nodule...
December 2016: Tomography: a Journal for Imaging Research
https://www.readbyqxmd.com/read/28608016/quantitative-assessment-of-pancreatic-texture-using-a-durometer-a-new-tool-to-predict-the-risk-of-developing-a-postoperative-fistula
#7
Giovanni Marchegiani, Roberto Ballarin, Giuseppe Malleo, Stefano Andrianello, Valentina Allegrini, Alessandra Pulvirenti, Marina Paini, Erica Secchettin, Fabrizio Boriero, Fabrizio Di Benedetto, Claudio Bassi, Roberto Salvia
BACKGROUND: Pancreatic texture is one of the key predictors of postoperative pancreatic fistula (POPF) after pancreatoduodenectomy (PD). Currently, the "gold standard" for assessment of pancreatic texture is surgeon's subjective evaluation through manual palpation. AIM: To evaluate a new "durometer" that is able to assess quantitatively the pancreatic stiffness by measuring its elastic module (i.e., the resistance offered by the pancreatic stump when elastically deformed expressed in mPa)...
June 12, 2017: World Journal of Surgery
https://www.readbyqxmd.com/read/28599282/optimizing-a-machine-learning-based-glioma-grading-system-using-multi-parametric-mri-histogram-and-texture-features
#8
Xin Zhang, Lin-Feng Yan, Yu-Chuan Hu, Gang Li, Yang Yang, Yu Han, Ying-Zhi Sun, Zhi-Cheng Liu, Qiang Tian, Zi-Yang Han, Le-De Liu, Bin-Quan Hu, Zi-Yu Qiu, Wen Wang, Guang-Bin Cui
Current machine learning techniques provide the opportunity to develop noninvasive and automated glioma grading tools, by utilizing quantitative parameters derived from multi-modal magnetic resonance imaging (MRI) data. However, the efficacies of different machine learning methods in glioma grading have not been investigated.A comprehensive comparison of varied machine learning methods in differentiating low-grade gliomas (LGGs) and high-grade gliomas (HGGs) as well as WHO grade II, III and IV gliomas based on multi-parametric MRI images was proposed in the current study...
May 18, 2017: Oncotarget
https://www.readbyqxmd.com/read/28587363/local-influence-of-high-molecular-polyethylene-particles-on-heterotopic-ossification
#9
Lin-Ru Zeng, Fang-Bing Zhu, Jian-Yue Wang, Qiao Hou, Zhen-Shuang Yue, Shi-Gui Yan, Ren-Fu Quan, Ying-Liang Zhang
We studied the effect of molecular polyethylene particles on local heterotopic ossification. A total of 36 healthy Sprague-Dawley rats were randomly divided into the control group (n=18) and the observation group (n=18). High molecular polyethylene particles were injected to rupture Achilles tendon position in the observation group, and normal saline was injected in the control group. X-ray examinations were conducted on Achilles tendon in the 4th, 8th and 12th week after operation. The incidence rate of heterotopic ossification was evaluated, and bone trabecula morphological structure was studied under optical microscope after hematoxylin and eosin staining...
June 2017: Experimental and Therapeutic Medicine
https://www.readbyqxmd.com/read/28586353/lack-of-robustness-of-textural-measures-obtained-from-3d-brain-tumor-mris-impose-a-need-for-standardization
#10
David Molina, Julián Pérez-Beteta, Alicia Martínez-González, Juan Martino, Carlos Velasquez, Estanislao Arana, Víctor M Pérez-García
PURPOSE: Textural measures have been widely explored as imaging biomarkers in cancer. However, their robustness under dynamic range and spatial resolution changes in brain 3D magnetic resonance images (MRI) has not been assessed. The aim of this work was to study potential variations of textural measures due to changes in MRI protocols. MATERIALS AND METHODS: Twenty patients harboring glioblastoma with pretreatment 3D T1-weighted MRIs were included in the study...
2017: PloS One
https://www.readbyqxmd.com/read/28583627/resectable-pancreatic-adenocarcinoma-role-of-ct-quantitative-imaging-biomarkers-for-predicting-pathology-and-patient-outcomes
#11
Christophe Cassinotto, Jaron Chong, George Zogopoulos, Caroline Reinhold, Laurence Chiche, Jean-Pierre Lafourcade, Adeline Cuggia, Eric Terrebonne, Anthony Dohan, Benoît Gallix
BACKGROUNDS: Patients with a pancreatic cancer amenable to surgery still have a poor prognosis and high risk of post-operative recurrence. We aimed to assess the value of quantitative imaging biomarkers using computed-tomography (CT) texture analysis to evaluate the pathologic tumor aggressiveness and predict disease-free survival (DFS) in patients with resectable pancreatic adenocarcinoma. METHODS: We retrospectively performed attenuation measurements and texture analysis on the portal-venous phase of the pre-operative CT scan of 99 patients that underwent resection of a pancreatic ductal adenocarcinoma in two university hospitals...
May 2017: European Journal of Radiology
https://www.readbyqxmd.com/read/28574816/prediction-of-cervical-cancer-recurrence-using-textural-features-extracted-from-18f-fdg-pet-images-acquired-with-different-scanners
#12
Sylvain Reuzé, Fanny Orlhac, Cyrus Chargari, Christophe Nioche, Elaine Limkin, François Riet, Alexandre Escande, Christine Haie-Meder, Laurent Dercle, Sébastien Gouy, Irène Buvat, Eric Deutsch, Charlotte Robert
OBJECTIVES: To identify an imaging signature predicting local recurrence for locally advanced cervical cancer (LACC) treated by chemoradiation and brachytherapy from baseline 18F-FDG PET images, and to evaluate the possibility of gathering images from two different PET scanners in a radiomic study. METHODS: 118 patients were included retrospectively. Two groups (G1, G2) were defined according to the PET scanner used for image acquisition. Eleven radiomic features were extracted from delineated cervical tumors to evaluate: (i) the predictive value of features for local recurrence of LACC, (ii) their reproducibility as a function of the scanner within a hepatic reference volume, (iii) the impact of voxel size on feature values...
May 15, 2017: Oncotarget
https://www.readbyqxmd.com/read/28560599/computed-tomography-image-texture-a-noninvasive-prognostic-marker-of-hepatic-recurrence-after-hepatectomy-for-metastatic-colorectal-cancer
#13
Amber L Simpson, Alexandre Doussot, John M Creasy, Lauryn B Adams, Peter J Allen, Ronald P DeMatteo, Mithat Gönen, Nancy E Kemeny, T Peter Kingham, Jinru Shia, William R Jarnagin, Richard K G Do, Michael I D'Angelica
BACKGROUND: Recurrence after resection of colorectal liver metastases (CRLMs) occurs in up to 75% of patients. Preoperative prediction of hepatic recurrence may inform therapeutic strategies at the time of initial resection. Texture analysis (TA) is an established technique that quantifies pixel intensity variations (heterogeneity) on cross-sectional imaging. We hypothesized that tumoral and parenchymal changes that are predictive of overall survival (OS) and recurrence in the future liver remnant (FLR) can be detected using TA on preoperative computed tomography (CT) images...
May 30, 2017: Annals of Surgical Oncology
https://www.readbyqxmd.com/read/28552125/computer-aided-diagnosis-of-liver-tumors-on-computed-tomography-images
#14
Chin-Chen Chang, Hong-Hao Chen, Yeun-Chung Chang, Ming-Yang Yang, Chung-Ming Lo, Wei-Chun Ko, Yee-Fan Lee, Kao-Lang Liu, Ruey-Feng Chang
BACKGROUND AND OBJECTIVE: Liver cancer is the tenth most common cancer in the USA, and its incidence has been increasing for several decades. Early detection, diagnosis, and treatment of the disease are very important. Computed tomography (CT) is one of the most common and robust imaging techniques for the detection of liver cancer. CT scanners can provide multiple-phase sequential scans of the whole liver. In this study, we proposed a computer-aided diagnosis (CAD) system to diagnose liver cancer using the features of tumors obtained from multiphase CT images...
July 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28545987/echography-of-clinically-relevant-disorders-in-the-genital-tract-of-female-dromedary-camels
#15
Ahmed Ali, Derar Derar, Ali Alsamri, Fahd Al Sobayil
The aim of this study was to characterize the clinically relevant genital tract disorders of dromedary camels. Reproductive tract examinations were performed via transrectal palpation, ultrasonography and vaginal exploration. The ultrasonic appearance of the reproductive pathology was described and compared with its morphology at laparotomy, after surgical removal, during postmortem examination or upon slaughter. Diagnosis was also confirmed by histopathology. The most frequently encountered follicular structures were larger than typical follicles (56/338, 16...
May 19, 2017: Animal Reproduction Science
https://www.readbyqxmd.com/read/28538408/precision-of-quantitative-computed-tomography-texture-analysis-using-image-filtering-a-phantom-study-for-scanner-variability
#16
Koichiro Yasaka, Hiroyuki Akai, Dennis Mackin, Laurence Court, Eduardo Moros, Kuni Ohtomo, Shigeru Kiryu
Quantitative computed tomography (CT) texture analyses for images with and without filtration are gaining attention to capture the heterogeneity of tumors. The aim of this study was to investigate how quantitative texture parameters using image filtering vary among different computed tomography (CT) scanners using a phantom developed for radiomics studies.A phantom, consisting of 10 different cartridges with various textures, was scanned under 6 different scanning protocols using four CT scanners from four different vendors...
May 2017: Medicine (Baltimore)
https://www.readbyqxmd.com/read/28532920/endoscopic-endonasal-resection-of-a-mixedlesion-of-gangliocytoma-and-non-functioning-pituitary-adenoma
#17
Li-Jun Heng, Dong Jia, Li Gong, Wei Zhang, Jie Ma, Yan Qu
BACKGROUND: The coexistence of a gangliocytoma and a pituitary adenoma is a rare event, which has only been studied in case reports previously. The knowledge of its diagnosis and treatment is extremely limited. CASE DESCRIPTION: We present a rare case of intrasellar-suprasellar gangliocytoma and non-functioning pituitary adenoma. The lesion was preoperatively diagnosed as a pituitary adenoma and resected using the extended endoscopic endonasal approach. We could clearly observe two different textures inside the tumor...
May 19, 2017: World Neurosurgery
https://www.readbyqxmd.com/read/28526813/radiomic-model-for-predicting-mutations-in-the-isocitrate-dehydrogenase-gene-in-glioblastomas
#18
Kevin Li-Chun Hsieh, Cheng-Yu Chen, Chung-Ming Lo
The present study proposed a computer-aided diagnosis system based on radiomic features extracted through magnetic resonance imaging to determine the isocitrate dehydrogenase status in glioblastomas. Magnetic resonance imaging data were obtained from 32 patients with wild-typeisocitrate dehydrogenase and 7 patients with mutant isocitrate dehydrogenase in glioblastomas. Radiomic features, namely morphological, intensity, and textural features, were extracted from the tumor area of each patient. The feature sets were evaluated using a logistic regression classifier to develop a prediction model...
May 3, 2017: Oncotarget
https://www.readbyqxmd.com/read/28521821/intratumoral-and-peritumoral-radiomics-for-the-pretreatment-prediction-of-pathological-complete-response-to-neoadjuvant-chemotherapy-based-on-breast-dce-mri
#19
Nathaniel M Braman, Maryam Etesami, Prateek Prasanna, Christina Dubchuk, Hannah Gilmore, Pallavi Tiwari, Donna Pletcha, Anant Madabhushi
BACKGROUND: In this study, we evaluated the ability of radiomic textural analysis of intratumoral and peritumoral regions on pretreatment breast cancer dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to predict pathological complete response (pCR) to neoadjuvant chemotherapy (NAC). METHODS: A total of 117 patients who had received NAC were retrospectively analyzed. Within the intratumoral and peritumoral regions of T1-weighted contrast-enhanced MRI scans, a total of 99 radiomic textural features were computed at multiple phases...
May 18, 2017: Breast Cancer Research: BCR
https://www.readbyqxmd.com/read/28513853/association-between-textural-and-morphological-tumor-indices-on-baseline-pet-ct-and-early-metabolic-response-on-interim-pet-ct-in-bulky-malignant-lymphomas
#20
Fayçal Ben Bouallègue, Yassine Al Tabaa, Marilyne Kafrouni, Guillaume Cartron, Fabien Vauchot, Denis Mariano-Goulart
PURPOSE: We investigated whether metabolic, textural and morphological tumoral indices evaluated on baseline PET-CT were predictive of early metabolic response on interim PET-CT in a cohort of patients with bulky Hodgkin and non-Hodgkin malignant lymphomas. METHODS: This retrospective study included 57 patients referred for initial PET-CT examination. In-house dedicated software was used to delineate tumor contours using a fixed 30% threshold of SUV max and then to compute tumoral metabolic parameters (SUV max, mean, peak, standard deviation, skewness and kurtosis, metabolic tumoral volume (MTV), total lesion glycolysis, and area under the curve of the cumulative histogram), textural parameters (Moran's and Geary's indices, energy, entropy, contrast, correlation derived from the gray-level co-occurrence matrix, area under the curve of the power spectral density, auto-correlation distance, and granularity), and shape parameters (surface, asphericity, convexity, surfacic extension, and 2D and 3D fractal dimensions)...
May 17, 2017: Medical Physics
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