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MR texture analysis

Lanqing Yang, Meng Qiu, Chunchao Xia, Zhenlin Li, Ziqiang Wang, Xiaoyue Zhou, Bing Wu
OBJECTIVE: The purpose of this study is to determine the performance of the apparent diffusion coefficient (ADC) value calculated from high-resolution DWI using readout-segmented echo-planar imaging (rs-EPI) and to assess the texture parameters of T2-weighted MR images in identifying pathologic complete response (pCR) after patients with locally advanced rectal cancer (LARC) undergo preoperative chemoradiotherapy (CRT). MATERIALS AND METHODS: A total of 76 patients with LARC who underwent preoperative CRT and subsequent surgery were enrolled in the study retrospectively...
March 12, 2019: AJR. American Journal of Roentgenology
Zhenyu Shu, Songhua Fang, Qin Ye, Dewang Mao, Hongfeng Cao, Peipei Pang, Xiangyang Gong
PURPOSE: To explore the clinical feasibility of predicting the efficacy of neoadjuvant chemoradiotherapy (nCRT) for rectal cancer on the basis of texture analysis (TA) of T2-weighted imaging (T2WI). METHODS: The cohort for this prospective study comprised 136 patients with rectal cancer to be treated with nCRT, all of whom underwent three MR scans (pre-, early, and post-nCRT). Treatment efficacy was assessed on the basis of the outcomes of pathologic complete response (pCR) and non-pCR as determined by postoperative pathological examination...
March 9, 2019: Abdominal Radiology
Ruimei Chai, He Ma, Mingjie Xu, Dooman Arefan, Xiaoyu Cui, Yi Liu, Lina Zhang, Shandong Wu, Ke Xu
BACKGROUND: The axillary lymph node status is critical for breast cancer staging and individualized treatment planning. PURPOSE: To assess the effect of determining axillary lymph node (ALN) metastasis by breast MRI-derived radiomic signatures, and compare the discriminating abilities of different MR sequences. STUDY TYPE: Retrospective. POPULATION: In all, 120 breast cancer patients, 59 with ALN metastasis and 61 without metastasis, all confirmed by pathology...
March 7, 2019: Journal of Magnetic Resonance Imaging: JMRI
Satish E Viswanath, Prathyush V Chirra, Michael C Yim, Neil M Rofsky, Andrei S Purysko, Mark A Rosen, B Nicolas Bloch, Anant Madabhushi
BACKGROUND: For most computer-aided diagnosis (CAD) problems involving prostate cancer detection via medical imaging data, the choice of classifier has been largely ad hoc, or been motivated by classifier comparison studies that have involved large synthetic datasets. More significantly, it is currently unknown how classifier choices and trends generalize across multiple institutions, due to heterogeneous acquisition and intensity characteristics (especially when considering MR imaging data)...
February 28, 2019: BMC Medical Imaging
Roberto Cannella, Amir A Borhani, Mitchell Tublin, Jaideep Behari, Alessandro Furlan
PURPOSE: To investigate the performance of MR-based texture analysis (TA) for the assessment of hepatic fibrosis in patients with nonalcoholic fatty liver disease (NAFLD). METHODS: Fifty-four adult patients (33 females, 21 males, mean age 49.8 ± 13.5 years) with biopsy-proven NAFLD were enrolled and underwent MR imaging on a 1.5 T system. TA parameters were extracted on axial noncontrast 3D-GRE T1W images (slice thickness = 4.6 mm) using a commercially available research software (TexRAD)...
February 20, 2019: Abdominal Radiology
Liang Han, Siyu Wang, Yanwei Miao, Huicong Shen, Yan Guo, Lizhi Xie, Yuqing Shang, Junyi Dong, Xiaoxin Li, Weiwei Wang, Qingwei Song
OBJECTIVE: To evaluate the differentiation efficiency of texture analysis of T1WI, T2WI and contrasted-enhanced T1WI MRI sequences in gliomas with and without IDH1 mutation based on entire tumor region. MATERIALS AND METHODS: A total of 42 patients with histopathologically confirmed gliomas, including 21 patients carrying IDH1 mutation (IDH1mutation group) and 21 with wild-type IDH1 (IDH1wt group) were included in this study. The preoperative MRI and clinical data were collected...
March 2019: European Journal of Radiology
Daniel Stocker, Herman P Marquez, Matthias W Wagner, Dimitri A Raptis, Pierre-Alain Clavien, Andreas Boss, Michael A Fischer, Moritz C Wurnig
Purpose: To find potentially diagnostic texture analysis (TA) features and to evaluate the diagnostic accuracy of two-dimensional (2D) magnetic resonance (MR) TA for differentiation between hepatocellular carcinoma (HCC) and benign hepatocellular tumors in the non-cirrhotic liver in an exploratory MR-study. Materials and methods: 108 non-cirrhotic patients (62 female; 41.5 ± 18.3 years) undergoing preoperative contrast-enhanced MRI were retrospectively included in this multi-center-study...
November 2018: Heliyon
Noriyuki Fujima, Akihiro Homma, Taisuke Harada, Yukie Shimizu, Khin Khin Tha, Satoshi Kano, Takatsugu Mizumachi, Ruijiang Li, Kohsuke Kudo, Hiroki Shirato
BACKGROUND: To assess the utility of histogram and texture analysis of magnetic resonance (MR) fat-suppressed T2-weighted imaging (Fs-T2WI) for the prediction of histological diagnosis of head and neck squamous cell carcinoma (SCC) and malignant lymphoma (ML). METHODS: The cases of 57 patients with SCC (45 well/moderately and 12 poorly differentiated SCC) and 10 patients with ML were retrospectively analyzed. Quantitative parameters with histogram features (relative mean signal, coefficient of variation, kurtosis and skewness) and gray-level co-occurrence matrix (GLCM) features (contrast, correlation, energy and homogeneity) were calculated using Fs-T2WI data with a manual tumor region of interest (ROI)...
February 4, 2019: Cancer Imaging: the Official Publication of the International Cancer Imaging Society
Biting Yu, Luping Zhou, Lei Wang, Yinghuan Shi, Jurgen Fripp, Pierrick Bourgeat
Magnetic resonance imaging (MRI) is a widely used medical imaging protocol that can be configured to provide different contrast between the tissues in human body. By setting different scanning parameters, each MR imaging modality reflects the unique visual characteristic of scanned body part, benefiting the subsequent analysis from multiple perspectives. To utilise the complementary information from multiple imaging modalities, cross-modality MR image synthesis has aroused increasing research interest recently...
January 29, 2019: IEEE Transactions on Medical Imaging
P P Batchala, T J E Muttikkal, J H Donahue, J T Patrie, D Schiff, C E Fadul, E K Mrachek, M-B Lopes, R Jain, S H Patel
BACKGROUND AND PURPOSE: Isocitrate dehydrogenase ( IDH )-mutant lower grade gliomas are classified as oligodendrogliomas or diffuse astrocytomas based on 1p/19q-codeletion status. We aimed to test and validate neuroradiologists' performances in predicting the codeletion status of IDH -mutant lower grade gliomas based on simple neuroimaging metrics. MATERIALS AND METHODS: One hundred two IDH -mutant lower grade gliomas with preoperative MR imaging and known 1p/19q status from The Cancer Genome Atlas composed a training dataset...
January 31, 2019: AJNR. American Journal of Neuroradiology
Nickie Andescavage, Sonia Dahdouh, Marni Jacobs, Sayali Yewale, Dorothy Bulas, Sara Iqbal, Ahmet Baschat, Catherine Limperopoulos
BACKGROUND: The objective of this study was to characterize structural changes in the healthy in vivo placenta by applying morphometric and textural analysis using magnetic resonance imaging (MRI), and to explore features that may be able to distinguish placental insufficiency in fetal growth restriction (FGR). METHODS: Women with healthy pregnancies or pregnancies complicated by FGR underwent MRI between 20 and 40 weeks gestation. Measures of placental morphometry (volume, elongation, depth) and digital texture (voxel-wise geometric and signal-intensity analysis) were calculated from T2W MR images...
January 25, 2019: Pediatric Research
Quyen N Do, Matthew A Lewis, Ananth J Madhuranthakam, Yin Xi, April A Bailey, Robert E Lenkinski, Diane M Twickler
As fetal gestational age increases, other modalities such as ultrasound have demonstrated increased levels of heterogeneity in the normal placenta. In this study, we introduce and apply ROI-based texture analysis to a retrospective fetal MRI database to characterize the second-order statistics of placenta and to evaluate the relationship between heterogeneity and gestational age. Positive correlations were observed for several Haralick texture metrics derived from fetal-brain specific T2-weighted and gravid uterus T1-weighted and T2-weighted images, confirming a quantitative increase in placental heterogeneity with gestational age...
2019: PloS One
Arnaldo Stanzione, Renato Cuocolo, Sirio Cocozza, Valeria Romeo, Francesco Persico, Ferdinando Fusco, Nicola Longo, Arturo Brunetti, Massimo Imbriaco
RATIONALE AND OBJECTIVES: Extraprostatic extension of disease (EPE) has a major role in risk stratification of prostate cancer patients. Currently, pretreatment local staging is performed with MRI, while the gold standard is represented by histopathological analysis after radical prostatectomy. Texture analysis (TA) is a quantitative postprocessing method for data extraction, while machine learning (ML) employs artificial intelligence algorithms for data classification. Purpose of this study was to assess whether ML algorithms could predict histopathological EPE using TA features extracted from unenhanced MR images...
January 14, 2019: Academic Radiology
Sara Ranjbar, Stefanie N Velgos, Amylou C Dueck, Yonas E Geda, J Ross Mitchell
OBJECTIVE: Subtle and gradual changes occur in the brain years before cognitive impairment due to age-related neurodegenerative disorders. The authors examined the utility of hippocampal texture analysis and volumetric features extracted from brain magnetic resonance (MR) data to differentiate between three cognitive groups (cognitively normal individuals, individuals with mild cognitive impairment, and individuals with Alzheimer's disease) and neuropsychological scores on the Clinical Dementia Rating (CDR) scale...
January 14, 2019: Journal of Neuropsychiatry and Clinical Neurosciences
Shun Zhang, Gloria Chia-Yi Chiang, Rajiv S Magge, Howard Alan Fine, Rohan Ramakrishna, Eileen Wang Chang, Tejas Pulisetty, Yi Wang, Wenzhen Zhu, Ilhami Kovanlikaya
OBJECTIVES: Texture analysis performed on MRI images can provide additional quantitative information that is invisible to human assessment. This study aimed to evaluate the feasibility of texture analysis on preoperative conventional MRI images in predicting early malignant transformation from low- to high-grade glioma and compare its utility to histogram analysis alone. METHODS: A total of 68 patients with low-grade glioma (LGG) were included in this study, 15 of which showed malignant transformation...
January 7, 2019: European Radiology
Aparna Natarajan, Sathiyasekar Kumarasamy
Nowadays, automatic tumor detection from brain images is extremely significant for many diagnostic as well as therapeutic purposes, due to the unpredictable shape and appearance of tumors. In medical image analysis, the automatic segmentation of tumors from brain using magnetic resonance imaging (MRI) data is the most critical issue. Existing research has some limitations, such as high processing time and lower accuracy, because of the time required for the training process. In this research, a new automatic segmentation process is introduced using machine learning and a swarm intelligence scheme...
January 2, 2019: Journal of Medical Systems
Wenting Rui, Yue Wu, Zengyi Ma, Yongfei Wang, Yin Wang, Xiao Xu, Junhai Zhang, Zhenwei Yao
OBJECTIVES: To explore the value of magnetic resonance textural analysis (MRTA) in assessing consistency of pituitary macroadenoma (PMA) based on contrast enhanced (CE) three-dimensional sampling perfection with application-optimized contrasts by using different flip angle evolution (3D-SPACE) images. MATERIALS AND METHODS: Fifty-three patients with PMAs that underwent CE 3D-SPACE scanning by 3.0 T MRI and endoscopic trans-sphenoidal surgery were included in the present study...
January 2019: European Journal of Radiology
Gaiying Li, Guoqiang Zhai, Xinxin Zhao, Hedi An, Pascal Spincemaille, Kelly M Gillen, Yixuan Ku, Yi Wang, Dongya Huang, Jianqi Li
Iron accumulation in the substantia nigra (SN) is spatially heterogeneous, yet no study has quantitatively evaluated how the texture of quantitative susceptibility maps (QSM) and R2∗ might evolve with Parkinson's disease (PD) and healthy controls (HC). The aim of this study was to discriminate between patients with PD and HC using texture analysis in the SN from QSM and R2∗ maps. QSM and R2∗ maps were obtained from 28 PD patients and 28 HC on a clinical 3T MR imaging scanner using 3D multi-echo gradient-echo sequence...
December 19, 2018: NeuroImage
N Patel, A Henry, A Scarsbrook
Current diagnosis and treatment stratification of patients with suspected prostate cancer relies on a combination of histological and magnetic resonance imaging (MRI) findings. The aim of this article is to provide a brief overview of prostate pathological grading as well as the relevant aspects of multiparametric (MRI) mpMRI, before indicating the potential that magnetic resonance textural analysis (MRTA) offers within prostate cancer. A review of the evidence base on MRTA in prostate cancer will enable discussion of the utility of this field while also indicating recommendations to future research...
December 17, 2018: Clinical Radiology
Roberto Cannella, Balasubramanya Rangaswamy, Marta I Minervini, Amir A Borhani, Allan Tsung, Alessandro Furlan
OBJECTIVE: The objective of our study was to assess the diagnostic performance of texture analysis (TA) on gadoxetic acid-enhanced MR images for differentiation of hepatocellular adenoma (HCA) from focal nodular hyperplasia (FNH). MATERIALS AND METHODS: This study included 40 patients (39 women and one man) with 51 HCAs and 28 patients (27 women and one man) with 32 FNH lesions. All lesions were histologically proven with preoperative MRI performed with gadoxetic acid...
December 17, 2018: AJR. American Journal of Roentgenology
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