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https://www.readbyqxmd.com/read/29222685/prediction-of-outcome-using-pretreatment-18f-fdg-pet-ct-and-mri-radiomics-in-locally-advanced-cervical-cancer-treated-with-chemoradiotherapy
#1
François Lucia, Dimitris Visvikis, Marie-Charlotte Desseroit, Omar Miranda, Jean-Pierre Malhaire, Philippe Robin, Olivier Pradier, Mathieu Hatt, Ulrike Schick
PURPOSE: The aim of this study is to determine if radiomics features from 18fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) and magnetic resonance imaging (MRI) images could contribute to prognoses in cervical cancer. METHODS: One hundred and two patients (69 for training and 33 for testing) with locally advanced cervical cancer (LACC) receiving chemoradiotherapy (CRT) from 08/2010 to 12/2016 were enrolled in this study. 18F-FDG PET/CT and MRI examination [T1, T2, T1C, diffusion-weighted imaging (DWI)] were performed for each patient before CRT...
December 9, 2017: European Journal of Nuclear Medicine and Molecular Imaging
https://www.readbyqxmd.com/read/29220731/quantitative-texture-analysis-in-the-prediction-of-idh-status-in-low-grade-gliomas
#2
Asgeir Store Jakola, Yi-Hua Zhang, Anne J Skjulsvik, Ole Solheim, Hans Kristian Bø, Erik Magnus Berntsen, Ingerid Reinertsen, Sasha Gulati, Petter Förander, Torkel B Brismar
OBJECTIVES: Molecular markers provide valuable information about treatment response and prognosis in patients with low-grade gliomas (LGG). In order to make this important information available prior to surgery the aim of this study was to explore if molecular status in LGG can be discriminated by preoperative magnetic resonance imaging (MRI). PATIENTS AND METHODS: All patients with histopathologically confirmed LGG with available molecular status who had undergone a preoperative standard clinical MRI protocol using a 3T Siemens Skyra scanner during 2008-2015 were retrospectively identified...
December 5, 2017: Clinical Neurology and Neurosurgery
https://www.readbyqxmd.com/read/29220213/clinical-application-of-biparametric-mri-texture-analysis-for-detection-and-evaluation-of-high-grade-prostate-cancer-in-zone-specific-regions
#3
Xiang-Ke Niu, Zhi-Fan Chen, Lin Chen, Jun Li, Tao Peng, Xin Li
OBJECTIVE: The purpose of this study was to investigate the performance of biparametric MRI texture analysis (TA) in detecting and evaluating high-grade prostate cancer in zone-specific regions. MATERIALS AND METHODS: A retrospective study included 184 consecutively registered biopsy-naive patients in whom prostate cancer was suspected who were undergoing multiparametric prostate MRI. MR images were scored and evaluated by two readers using the Prostate Imaging Reporting and Data System version 2 (PI-RADSv2) and biparametric MRI TA in separate sessions...
December 8, 2017: AJR. American Journal of Roentgenology
https://www.readbyqxmd.com/read/29196021/advanced-imaging-to-predict-response-to-chemotherapy-in-colorectal-liver-metastases-a-systematic-review
#4
REVIEW
Rianne C J Beckers, Doenja M J Lambregts, Max J Lahaye, Sheng-Xiang Rao, Kelly Kleinen, Cecile Grootscholten, Geerard L Beets, Regina G H Beets-Tan, Monique Maas
BACKGROUND: The assessment of colorectal liver metastases (CRLM) after treatment with chemotherapy is challenging due to morphological and/or functional change without changes in size. The aim of this review was to assess the value of FDG-PET, FDG-PET-CT, CT and MRI in predicting response to chemotherapy in CRLM. METHODS: A systematic review was undertaken based on PRISMA statement. PubMed and Embase were searched up to October 2016 for studies on the accuracy of PET, PET-CT, CT and MRI in predicting RECIST or metabolic response to chemotherapy and/or survival in patients with CRLM...
November 28, 2017: HPB: the Official Journal of the International Hepato Pancreato Biliary Association
https://www.readbyqxmd.com/read/29193299/improved-parallel-image-reconstruction-using-feature-refinement
#5
Jing Cheng, Sen Jia, Leslie Ying, Yuanyuan Liu, Shanshan Wang, Yanjie Zhu, Ye Li, Chao Zou, Xin Liu, Dong Liang
PURPOSE: The aim of this study was to develop a novel feature refinement MR reconstruction method from highly undersampled multichannel acquisitions for improving the image quality and preserve more detail information. THEORY AND METHODS: The feature refinement technique, which uses a feature descriptor to pick up useful features from residual image discarded by sparsity constrains, is applied to preserve the details of the image in compressed sensing and parallel imaging in MRI (CS-pMRI)...
November 28, 2017: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/29177002/non-invasive-imaging-of-plant-roots-in-different-soils-using-magnetic-resonance-imaging-mri
#6
Daniel Pflugfelder, Ralf Metzner, Dagmar van Dusschoten, Rüdiger Reichel, Siegfried Jahnke, Robert Koller
Background: Root systems are highly plastic and adapt according to their soil environment. Studying the particular influence of soils on root development necessitates the adaptation and evaluation of imaging methods for multiple substrates. Non-invasive 3D root images in soil can be obtained using magnetic resonance imaging (MRI). Not all substrates, however, are suitable for MRI. Using barley as a model plant we investigated the achievable image quality and the suitability for root phenotyping of six commercially available natural soil substrates of commonly occurring soil textures...
2017: Plant Methods
https://www.readbyqxmd.com/read/29175980/glioma-survival-prediction-with-the-combined-analysis-of-in-vivo-11c-met-pet-ex-vivo-and-patient-features-by-supervised-machine-learning
#7
Laszlo Papp, Nina Poetsch, Marko Grahovac, Victor Schmidbauer, Adelheid Woehrer, Matthias Preusser, Markus Mitterhauser, Barbara Kiesel, Wolfgang Wadsak, Thomas Beyer, Marcus Hacker, Tatjana Traub-Weidinger
Gliomas are the most common types of tumors in the brain. While the definite diagnosis is routinely made ex vivo by histopathologic and molecular examination, diagnostic work-up of patients with suspected glioma is mainly done by using magnetic resonance imaging (MRI). Nevertheless, L-S-methyl-11C-methionine (11C-MET) Positron Emission Tomography (PET) holds a great potential in characterization of gliomas. The aim of this study was to establish machine learning (ML) driven survival models for glioma built on 11C-MET-PET, ex vivo and patient characteristics...
November 24, 2017: Journal of Nuclear Medicine: Official Publication, Society of Nuclear Medicine
https://www.readbyqxmd.com/read/29163005/in-vivo-imaging-of-tau-pathology-using-magnetic-resonance-imaging-textural-analysis
#8
Niall Colgan, Balaji Ganeshan, Ian F Harrison, Ozama Ismail, Holly E Holmes, Jack A Wells, Nick M Powell, James M O'Callaghan, Michael J O'Neill, Tracey K Murray, Zeshan Ahmed, Emily C Collins, Ross A Johnson, Ashley Groves, Mark F Lythgoe
Background: Non-invasive characterization of the pathological features of Alzheimer's disease (AD) could enhance patient management and the development of therapeutic strategies. Magnetic resonance imaging texture analysis (MRTA) has been used previously to extract texture descriptors from structural clinical scans in AD to determine cerebral tissue heterogeneity. In this study, we examined the potential of MRTA to specifically identify tau pathology in an AD mouse model and compared the MRTA metrics to histological measures of tau burden...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/29157218/brain-medical-image-diagnosis-based-on-corners-with-importance-values
#9
Linlin Gao, Haiwei Pan, Qing Li, Xiaoqin Xie, Zhiqiang Zhang, Jinming Han, Xiao Zhai
BACKGROUND: Brain disorders are one of the top causes of human death. Generally, neurologists analyze brain medical images for diagnosis. In the image analysis field, corners are one of the most important features, which makes corner detection and matching studies essential. However, existing corner detection studies do not consider the domain information of brain. This leads to many useless corners and the loss of significant information. Regarding corner matching, the uncertainty and structure of brain are not employed in existing methods...
November 21, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/29152563/integrated-radiomic-framework-for-breast-cancer-and-tumor-biology-using-advanced-machine-learning-and-multiparametric-mri
#10
Vishwa S Parekh, Michael A Jacobs
Radiomics deals with the high throughput extraction of quantitative textural information from radiological images that not visually perceivable by radiologists. However, the biological correlation between radiomic features and different tissues of interest has not been established. To that end, we present the radiomic feature mapping framework to generate radiomic MRI texture image representations called the radiomic feature maps (RFM) and correlate the RFMs with quantitative texture values, breast tissue biology using quantitative MRI and classify benign from malignant tumors...
2017: NPJ Breast Cancer
https://www.readbyqxmd.com/read/29140113/prediction-of-pancreatic-neuroendocrine-tumor-grade-based-on-ct-features-and-texture-analysis
#11
Rodrigo Canellas, Kristine S Burk, Anushri Parakh, Dushyant V Sahani
OBJECTIVE: The purposes of this study were to assess whether CT texture analysis and CT features are predictive of pancreatic neuroendocrine tumor (PNET) grade based on the World Health Organization (WHO) classification and to identify features related to disease progression after surgery. MATERIALS AND METHODS: Preoperative contrast-enhanced CT images of 101 patients with PNETs were assessed. The images were evaluated for tumor location, tumor size, tumor pattern, predominantly solid or cystic composition, presence of calcification, presence of heterogeneous enhancement on contrast-enhanced images, presence of pancreatic duct dilatation, presence of pancreatic atrophy, presence of vascular involvement by the tumor, and presence of lymphadenopathy...
November 15, 2017: AJR. American Journal of Roentgenology
https://www.readbyqxmd.com/read/29134191/assessing-treatment-response-in-triple-negative-breast-cancer-from-quantitative-image-analysis-in-perfusion-magnetic-resonance-imaging
#12
Imon Banerjee, Sadhika Malladi, Daniela Lee, Adrien Depeursinge, Melinda Telli, Jafi Lipson, Daniel Golden, Daniel L Rubin
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is sensitive but not specific to determining treatment response in early stage triple-negative breast cancer (TNBC) patients. We propose an efficient computerized technique for assessing treatment response, specifically the residual tumor (RT) status and pathological complete response (pCR), in response to neoadjuvant chemotherapy. The proposed approach is based on Riesz wavelet analysis of pharmacokinetic maps derived from noninvasive DCE-MRI scans, obtained before and after treatment...
January 2018: Journal of Medical Imaging
https://www.readbyqxmd.com/read/29119525/haralick-s-texture-features-for-the-prediction-of-response-to-therapy-in-colorectal-cancer-a-preliminary-study
#13
Damiano Caruso, Marta Zerunian, Maria Ciolina, Domenico de Santis, Marco Rengo, Mumtaz H Soomro, Gaetano Giunta, Silvia Conforto, Maurizio Schmid, Emanuele Neri, Andrea Laghi
PURPOSE: Haralick features Texture analysis is a recent oncologic imaging biomarker used to assess quantitatively the heterogeneity within a tumor. The aim of this study is to evaluate which Haralick's features are the most feasible in predicting tumor response to neoadjuvant chemoradiotherapy (CRT) in colorectal cancer. MATERIALS AND METHODS: After MRI and histological assessment, eight patients were enrolled and divided into two groups based on response to neoadjuvant CRT in complete responders (CR) and non-responders (NR)...
November 8, 2017: La Radiologia Medica
https://www.readbyqxmd.com/read/29112948/using-quantitative-features-extracted-from-t2-weighted-mri-to-improve-breast-mri-computer-aided-diagnosis-cad
#14
Cristina Gallego-Ortiz, Anne L Martel
Computer-aided diagnosis (CAD) has been proposed for breast MRI as a tool to standardize evaluation, to automate time-consuming analysis, and to aid the diagnostic decision process by radiologists. T2w MRI findings are diagnostically complementary to T1w DCE-MRI findings in the breast and prior research showed that measuring the T2w intensity of a lesion relative to a tissue of reference improves diagnostic accuracy. The diagnostic value of this information in CAD has not been yet quantified. This study proposes an automatic method of assessing relative T2w lesion intensity without the need to select a reference region...
2017: PloS One
https://www.readbyqxmd.com/read/29112637/improving-ultrasound-detection-of-uterine-adenomyosis-through-computational-texture-analysis
#15
Joseph Konrad, Derek Merck, Jie Ying Wu, Adam Tuomi, Michael Beland
The purpose of our study was to determine if a textural analysis metric can be implemented to improve diagnosis of adenomyosis by ultrasound.We retrospectively identified 38 patients with a magnetic resonance imaging (MRI) diagnosis of uterine adenomyosis that also had a pelvic ultrasound within 6 months. We also identified 50 normal pelvic ultrasound examinations confirmed by a normal pelvic MRI within 6 months as a control group. A region of interest (ROI) was subsequently placed on the study population ultrasound image corresponding to the area of adenomyosis on MRI...
November 6, 2017: Ultrasound Quarterly
https://www.readbyqxmd.com/read/29111337/the-vocal-tract-organ-a-new-musical-instrument-using-3-d-printed-vocal-tracts
#16
David M Howard
The advent and now increasingly widespread availability of 3-D printers is transforming our understanding of the natural world by enabling observations to be made in a tangible manner. This paper describes the use of 3-D printed models of the vocal tract for different vowels that are used to create an acoustic output when stimulated with an appropriate sound source in a new musical instrument: the Vocal Tract Organ. The shape of each printed vocal tract is recovered from magnetic resonance imaging. It sits atop a loudspeaker to which is provided an acoustic L-F model larynx input signal that is controlled by the notes played on a musical instrument digital interface device such as a keyboard...
October 27, 2017: Journal of Voice: Official Journal of the Voice Foundation
https://www.readbyqxmd.com/read/29091314/variable-angle-gray-level-co-occurrence-matrix-analysis-of-t2-relaxation-time-maps-reveals-degenerative-changes-of-cartilage-in-knee-osteoarthritis-oulu-knee-osteoarthritis-study
#17
Arttu Peuna, Joonas Hekkala, Marianne Haapea, Jana Podlipská, Ali Guermazi, Simo Saarakkala, Miika T Nieminen, Eveliina Lammentausta
BACKGROUND: Texture analysis methods based on gray level co-occurrence matrices (GLCM) can be optimized to probe the spatial correspondence information from knee MRI T2 maps and the changes caused by osteoarthritis, and thus possibly leading to a more sensitive characterization of osteoarthritic cartilage. Curvature of the cartilage surfaces combined with the low image resolution in relation to cartilage thickness set special requirements for an effective texture analysis tool. PURPOSE/HYPOTHESIS: To introduce a novel implementation of GLCM algorithm optimized for cartilage texture analysis; to evaluate the performance of the designed algorithm against mean T2 relaxation time analysis; and to identify the most suitable texture features for discerning osteoarthritic subjects and asymptomatic controls...
November 1, 2017: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/29073725/radiomics-in-paediatric-neuro-oncology-a-multicentre-study-on-mri-texture-analysis
#18
Ahmed E Fetit, Jan Novak, Daniel Rodriguez, Dorothee P Auer, Christopher A Clark, Richard G Grundy, Andrew C Peet, Theodoros N Arvanitis
Brain tumours are the most common solid cancers in children in the UK and are the most common cause of cancer deaths in this age group. Despite current advances in MRI, non-invasive diagnosis of paediatric brain tumours has yet to find its way into routine clinical practice. Radiomics, the high-throughput extraction and analysis of quantitative image features (e.g. texture), offers potential solutions for tumour characterization and decision support. In the search for diagnostic oncological markers, the primary aim of this work was to study the application of MRI texture analysis (TA) for the classification of paediatric brain tumours...
October 26, 2017: NMR in Biomedicine
https://www.readbyqxmd.com/read/29068937/three-dimensional-computer-assisted-two-layer-elastic-models-of-the-face
#19
Koichi Ueda, Yuka Shigemura, Yuki Otsuki, Asuka Fuse, Daisuke Mitsuno
To make three-dimensional computer-assisted elastic models for the face, we decided on five requirements: (1) an elastic texture like skin and subcutaneous tissue; (2) the ability to take pen marking for incisions; (3) the ability to be cut with a surgical knife; (4) the ability to keep stitches in place for a long time; and (5) a layered structure. After testing many elastic solvents, we have made realistic three-dimensional computer-assisted two-layer elastic models of the face and cleft lip from the computed tomographic and magnetic resonance imaging stereolithographic data...
November 2017: Plastic and Reconstructive Surgery
https://www.readbyqxmd.com/read/29060632/brain-segmentation-in-mr-images-using-a-texture-based-classifier-associated-with-mathematical-morphology
#20
Herng-Hua Chang, Chih-Chung Hsieh
Skull stripping, which refers to the segmentation of brain tissue from non-brain tissue, has been challenging due to the ramification of the human brain structures and volatile parameters in the magnetic resonance imaging (MRI) procedures. It has been one of the most critical preprocessing steps in medical image analysis. We propose a hybrid skull stripping algorithm that is based on texture feature analysis, fuzzy possibilistic c-means (FPCM), and morphological operations. The input MR image is first processed to obtain two texture feature maps, to which the FPCM is applied for acquiring brain and non-brain masks...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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