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MR texture analysis

Jie Meng, Shunli Liu, Lijing Zhu, Li Zhu, Huanhuan Wang, Li Xie, Yue Guan, Jian He, Xiaofeng Yang, Zhengyang Zhou
This prospective study explored the application of texture features extracted from T2WI and apparent diffusion coefficient (ADC) maps in predicting recurrence of advanced cervical cancer patients treated with concurrent chemoradiotherapy (CCRT). We included 34 patients with advanced cervical cancer who underwent pelvic MR imaging before, during and after CCRT. Radiomic feature extraction was performed by using software at T2WI and ADC maps. The performance of texture parameters in predicting recurrence was evaluated...
July 30, 2018: Scientific Reports
Hubert Stefan Bickel
BACKGROUND: Due to often overlapping imaging features, solid renal tumors pose a diagnostic challenge. In addition, personalized therapies require exact tumor subtyping. To reduce complications, this should ideally be performed noninvasively. AIMS: The aim of this work was to provide an overview on the current state of the art and new developments in the field of noninvasive radiological phenotyping of the most common types of adult renal tumors. RESULTS: Multimodal and multiparametric imaging already enables an exact, noninvasive differentiation between many types of benign and malignant renal tumors...
July 20, 2018: Der Radiologe
Nima Sadoughi, Satheesh Krishna, Matthew D F McInnes, Trevor A Flood, Rodney H Breau, Christopher Morash, Nicola Schieda
OBJECTIVE: The purpose of this study was to evaluate quantitative apparent diffusion coefficient (ADC) metrics for the downgrading of Gleason score (GS) 9 or 10 prostate cancer (PCa) diagnosed by means of nontargeted transrectal ultrasound-guided biopsy. MATERIALS AND METHODS: Between 2012 and 2015, 30 men with a diagnosis of GS 9 or 10 PCa at nontargeted transrectal ultrasound-guided biopsy underwent 3-T multiparametric MRI before radical prostatectomy (RP). Two radiologists blinded to the histopathologic results independently assessed multiparametric MR images using Prostate Imaging Reporting and Data System (PI-RADS) version 2...
July 11, 2018: AJR. American Journal of Roentgenology
Brandon Patrick Galm, Edgar Leonardo Martinez-Salazar, Brooke Swearingen, Martin Torriani, Anne Klibanski, Miriam A Bredella, Nicholas Tritos
BACKGROUND: There are limited predictors of prognosis in patients with clinically non-functioning pituitary adenomas (NFPAs). We hypothesized that MRI texture analysis may predict tumor recurrence or progression in patients with NFPAs undergoing transsphenoidal pituitary surgery (TSS). OBJECTIVE: To characterize texture parameters on preoperative MRI examinations in patients with NFPAs in relation to prognosis. METHODS: Retrospective study of patients with NFPAs who underwent TSS at our institution between 2009-2010...
July 4, 2018: European Journal of Endocrinology
Huan Zhang, Wenhua Li, Feixiang Hu, Yiqun Sun, Tingdan Hu, Tong Tong
PURPOSE: The purpose of the study was to determine whether the pre-treated MR texture features of colorectal liver metastases (CRLMs) are predictive of therapeutic response after chemotherapy. METHODS: The study included twenty-six consecutive patients (a total of 193 liver metastasis) with unrespectable CRLMs at our institution from August 2014 to February 2016. Lesions were categorized into either responding group or non-responding group according to changes in size...
July 2, 2018: Abdominal Radiology
Ursula Heilmeier, John Mbapte Wamba, Gabby B Joseph, Karin Darakananda, Jennifer Callan, Jan Neumann, Thomas M Link
OBJECTIVE: To evaluate if baseline pathological knee conditions as assessed via single features of the MR-based Whole-Organ Magnetic Resonance Imaging Scoring (WORMS), standard T2, and T2 gray-level co-occurrence matrix (GLCM) texture parameters of knee cartilage can serve as potential long-term radiological predictors of incident total knee arthroplasty (TKA) 4-7 years later. MATERIALS AND METHODS: Baseline 3-T knee MRIs of 309 subjects from the Osteoarthritis Initiative (n = 81 TKA cases, with right-knee TKA 4-7 years after enrolment, and n = 228 TKA-free matched controls) were evaluated for the presence and severity of pathological knee conditions via modified WORMS...
June 30, 2018: Skeletal Radiology
Christophe Nioche, Fanny Orlhac, Sarah Boughdad, Sylvain Reuzé, Jessica Goya-Outi, Charlotte Robert, Claire Pellot-Barakat, Michael Soussan, Frédérique Frouin, Irène Buvat
Textural and shape analysis is gaining considerable interest in medical imaging, particularly to identify parameters characterizing tumor heterogeneity and to feed radiomic models. Here we present a free, multiplatform, and easy-to-use freeware called LIFEx, which enables the calculation of conventional, histogram-based textural and shape features from PET, SPECT, MR, CT, and US images, or from any combination of imaging modalities. The application does not require any programming skills and was developed for medical imaging professionals...
June 29, 2018: Cancer Research
Manoj Mannil, Jakob M Burgstaller, Ulrike Held, Mazda Farshad, Roman Guggenberger
OBJECTIVES: The aim of this study was to apply texture analysis (TA) on paraspinal musculature in T2-weighted (T2w) magnetic resonance images (MRI) of symptomatic lumbar spinal stenosis (LSS) patients and correlate the findings with clinical outcome measures. METHODS: Ninety patients were prospectively enrolled in the multi-centric Lumbar Stenosis Outcome Study (LSOS). All patients received a T2w MRI, from which we selected axial images perpendicular to the intervertebral disc at level L3/4 for TA...
June 14, 2018: European Radiology
Ahmad Chaddad, Siham Sabri, Tamim Niazi, Bassam Abdulkarim
We propose a multiscale texture features based on Laplacian-of Gaussian (LoG) filter to predict progression free (PFS) and overall survival (OS) in patients newly diagnosed with glioblastoma (GBM). Experiments use the extracted features derived from 40 patients of GBM with T1-weighted imaging (T1-WI) and Fluid-attenuated inversion recovery (FLAIR) images that were segmented manually into areas of active tumor, necrosis, and edema. Multiscale texture features were extracted locally from each of these areas of interest using a LoG filter and the relation between features to OS and PFS was investigated using univariate (i...
June 19, 2018: Medical & Biological Engineering & Computing
Russell Frood, Ebrahim Palkhi, Mark Barnfield, Robin Prestwich, Sriram Vaidyanathan, Andrew Scarsbrook
OBJECTIVE: To explore the utility of MR texture analysis (MRTA) for detection of nodal extracapsular spread (ECS) in oral cavity squamous cell carcinoma (SCC). METHODS: 115 patients with oral cavity SCC treated with surgery and adjuvant (chemo)radiotherapy were identified retrospectively. First-order texture parameters (entropy, skewness and kurtosis) were extracted from tumour and nodal regions of interest (ROIs) using proprietary software (TexRAD). Nodal MR features associated with ECS (flare sign, irregular capsular contour; local infiltration; nodal necrosis) were reviewed and agreed in consensus by two experienced radiologists...
June 5, 2018: European Radiology
Akira Kunimatsu, Natsuko Kunimatsu, Koichiro Yasaka, Hiroyuki Akai, Kouhei Kamiya, Takeyuki Watadani, Harushi Mori, Osamu Abe
PURPOSE: Although advanced MRI techniques are increasingly available, imaging differentiation between glioblastoma and primary central nervous system lymphoma (PCNSL) is sometimes confusing. We aimed to evaluate the performance of image classification by support vector machine, a method of traditional machine learning, using texture features computed from contrast-enhanced T1 -weighted images. METHODS: This retrospective study on preoperative brain tumor MRI included 76 consecutives, initially treated patients with glioblastoma (n = 55) or PCNSL (n = 21) from one institution, consisting of independent training group (n = 60: 44 glioblastomas and 16 PCNSLs) and test group (n = 16: 11 glioblastomas and 5 PCNSLs) sequentially separated by time periods...
May 16, 2018: Magnetic Resonance in Medical Sciences: MRMS
P Chang, J Grinband, B D Weinberg, M Bardis, M Khy, G Cadena, M-Y Su, S Cha, C G Filippi, D Bota, P Baldi, L M Poisson, R Jain, D Chow
BACKGROUND AND PURPOSE: The World Health Organization has recently placed new emphasis on the integration of genetic information for gliomas. While tissue sampling remains the criterion standard, noninvasive imaging techniques may provide complimentary insight into clinically relevant genetic mutations. Our aim was to train a convolutional neural network to independently predict underlying molecular genetic mutation status in gliomas with high accuracy and identify the most predictive imaging features for each mutation...
July 2018: AJNR. American Journal of Neuroradiology
Bettina Baeßler, Manoj Mannil, David Maintz, Hatem Alkadhi, Robert Manka
PURPOSE: To test in a first proof-of-concept study whether texture analysis (TA) allows for the detection of myocardial tissue alterations in hypertrophic cardiomyopathy (HCM) on non-contrast T1-weighted cardiac magnetic resonance (CMR) images using machine learning based approaches. METHODS: This retrospective, IRB-approved study included 32 patients with known HCM. Thirty patients with normal CMR served as controls. Regions-of-interest for TA encompassing the left ventricle were drawn on short-axis non-contrast T1-weighted images using a freely available software package...
May 2018: European Journal of Radiology
J D Quigley, T M Hill, T S Dennis, F X Suarez-Mena, R L Schlotterbeck
Milk replacer (MR) feeding programs have traditionally fed at less than ad libitum amounts to promote calf starter (CS) intake and allow early weaning. More recently, increased amounts of MR preweaning have been shown to increase preweaning ADG, although postweaning growth may be reduced. Several studies suggest that limited postweaning digestion of nutrients in CS may contribute to postweaning growth impairment. It is not clear whether CS formulation might also contribute to differences in postweaning nutrient digestion when calves are fed different MR programs...
July 2018: Journal of Dairy Science
Hie Bum Suh, Yoon Seong Choi, Sohi Bae, Sung Soo Ahn, Jong Hee Chang, Seok-Gu Kang, Eui Hyun Kim, Se Hoon Kim, Seung-Koo Lee
OBJECTIVES: To evaluate the diagnostic performance of magnetic resonance (MR) radiomics-based machine-learning algorithms in differentiating primary central nervous system lymphoma (PCNSL) from non-necrotic atypical glioblastoma (GBM). METHODS: Seventy-seven patients (54 individuals with PCNSL and 23 with non-necrotic atypical GBM), diagnosed from January 2009 to April 2017, were enrolled in this retrospective study. A total of 6,366 radiomics features, including shape, volume, first-order, texture, and wavelet-transformed features, were extracted from multi-parametric (post-contrast T1- and T2-weighted, and fluid attenuation inversion recovery images) and multiregional (enhanced and non-enhanced) tumour volumes...
April 6, 2018: European Radiology
Huiquan Wang, S Nizam Ahmed, Mrinal Mandal
Cavernous malformation or cavernoma is one of the most common epileptogenic lesions. It is a type of brain vessel abnormality that can cause serious symptoms such as seizures, intracerebral hemorrhage, and various neurological disorders. Manual detection of cavernomas by physicians in a large set of brain MRI slices is a time-consuming and labor-intensive task and often delays diagnosis. In this paper, we propose a computer-aided diagnosis (CAD) system for cavernomas based on T2-weighted axial plane MRI image analysis...
June 2018: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
J Neumann, F C Hofmann, U Heilmeier, W Ashmeik, K Tang, A S Gersing, B J Schwaiger, M C Nevitt, G B Joseph, N E Lane, C E McCulloch, T M Link
PURPOSE: Osteoarthritis (OA) and diabetes mellitus (DM) share common risk factors with a potential underlying relationship between both diseases. The purpose of this study was to investigate the longitudinal effects of DM on cartilage deterioration over 24-months with MR-based T2 relaxation time measurements. METHODS: From the Osteoarthritis Initiative (OAI) cohort 196 diabetics were matched in small sets for age, sex, BMI and Kellgren-Lawrence score with 196 non-diabetic controls...
June 2018: Osteoarthritis and Cartilage
Hai-Jeon Yoon, Yemi Kim, Jin Chung, Bom Sahn Kim
Predicting response to neo-adjuvant chemotherapy (NAC) and survival in locally advanced breast cancer (LABC) is important. This study investigated the prognostic value of tumor heterogeneity evaluated with textural analysis through F-18 fluorodeoxyglucose (FDG) positron emission tomography (PET) and diffusion-weighted imaging (DWI). We enrolled 83 patients with LABC who had completed NAC and curative surgery. Tumor texture indices from pretreatment FDG PET and DWI were extracted from histogram analysis and 7 different parent matrices: co-occurrence matrix, the voxel-alignment matrix, neighborhood intensity difference matrix, intensity size-zone matrix (ISZM), normalized gray-level co-occurrence matrix (NGLCM), neighboring gray-level dependence matrix (NGLDM), and texture spectrum matrix...
March 30, 2018: Breast Journal
Manoj Mannil, Jakob M Burgstaller, Arjun Thanabalasingam, Sebastian Winklhofer, Michael Betz, Ulrike Held, Roman Guggenberger
OBJECTIVE: To evaluate association of fatty infiltration in paraspinal musculature with clinical outcomes in patients suffering from lumbar spinal stenosis (LSS) using qualitative and quantitative grading in magnetic resonance imaging (MRI). MATERIALS AND METHODS: In this retrospective study, texture analysis (TA) was performed on postprocessed axial T2 weighted (w) MR images at level L3/4 using dedicated software (MaZda) in 62 patients with LSS. Associations in fatty infiltration between qualitative Goutallier and quantitative TA findings with two clinical outcome measures, Spinal stenosis measure (SSM) score and walking distance, at baseline and regarding change over time were assessed using machine learning algorithms and multiple logistic regression models...
July 2018: Skeletal Radiology
Fei Dong, Qian Li, Biao Jiang, Qiang Zeng, Jianming Hua, Minming Zhang
OBJECTIVE: To assess the value of contrast enhanced MRI features for predicting epidermal growth factor receptor ( EGFR ) gene amplification in glioblastoma multiforme (GBM) with radiomic method. METHODS: Eighty patients with EGFR status examined GBM were retrospectively reviewed. The data were randomly divided into a training dataset (60%) and test dataset (40%). Texture features of each case were extracted from the enhanced region and the edema region in contrast enhanced MR images...
May 25, 2017: Zhejiang da Xue Xue Bao. Yi Xue Ban, Journal of Zhejiang University. Medical Sciences
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