Texture analysis parameters derived from T1-and T2-weighted magnetic resonance images can reflect Ki67 index in soft tissue sarcoma

Purpose:Histological grading is currently one of the best predictors of tumor behavior and outcome in soft tissue sarcoma. However, occasionally there is significant disagreement even among expert pathologists. An alternative method that gives more reliable and non-subjective diagnostic information is needed. The potential use of proton magnetic resonance spectroscopy in combination with an appropriate statistical classification strategy was tested here in differentiating normal mesenchymal tissue from soft tissue sarcoma.Methods:Fifty-four normal and soft tissue sarcoma specimens of various histological types were obtained from 15 patients. One-dimensional proton magnetic resonance spectra were acquired at 360 MHz. Spectral data were analyzed by using both the conventional peak area ratios and a specific statistical classification strategy.Results:The statistical classification strategy gave much better results than the conventional analysis. The overall classification accuracy (based on the histopathology of the MRS specimens) in differentiating normal mesenchymal from soft tissue sarcoma was 93%, with a sensitivity of 100% and specificity of 88%.The results in the test set were 83, 92 and 76%, respectively. Our optimal region selection algorithm identified six spectral regions with discriminating potential, including those assigned to choline, creatine, glutamine, glutamic acid and lipid.Conclusion:Proton magnetic resonance spectroscopy combined with a statistical classification strategy gave good results in differentiating normal mesenchymal tissue from soft tissue sarcoma specimensex vivo. Such an approach may also differentiate benign tumors from malignant ones and this will be explored in future studies.

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Magnetic Resonance Imaging After Incomplete Resection of Soft Tissue Sarcoma

Clinical Orthopaedics and Related Research ◽

10.1097/00003086-200204000-00025 ◽

2002 ◽

Vol 397 ◽

pp. 204-211 ◽

Cited By ~ 24

Author(s):

Sue C. Kaste ◽

Ashley Hill ◽

Laurie Conley ◽

Tami J. Shidler ◽

Bhaskar N. Rao ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Soft Tissue ◽

Soft Tissue Sarcoma ◽

Incomplete Resection ◽

Resonance Imaging

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Texture Analysis of Magnetic Resonance Images Enables Phenotyping of Potentially Painful Annular Fissures

Spine ◽

10.1097/brs.0000000000004160 ◽

2021 ◽

Vol Publish Ahead of Print ◽

Author(s):

Stefanie Eriksson ◽

Christian Waldenberg ◽

Leif Torén ◽

Anna Grimby-Ekman ◽

Helena Brisby ◽

...

Keyword(s):

Magnetic Resonance ◽

Texture Analysis ◽

Magnetic Resonance Images

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ALTEA: A Software Tool for the Evaluation of New Biomarkers for Alzheimer’s Disease by Means of Textures Analysis on Magnetic Resonance Images

Diagnostics ◽

10.3390/diagnostics8030047 ◽

2018 ◽

Vol 8 (3) ◽

pp. 47 ◽

Cited By ~ 2

Author(s):

Carlos López-Gómez ◽

Rafael Ortiz-Ramón ◽

Enrique Mollá-Olmos ◽

David Moratal ◽

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Magnetic Resonance ◽

Texture Analysis ◽

Software Tool ◽

Magnetic Resonance Images ◽

Gray Level ◽

Predictive Capacity ◽

Texture Parameters ◽

New Biomarkers

The current criteria for diagnosing Alzheimer’s disease (AD) require the presence of relevant cognitive deficits, so the underlying neuropathological damage is important by the time the diagnosis is made. Therefore, the evaluation of new biomarkers to detect AD in its early stages has become one of the main research focuses. The purpose of the present study was to evaluate a set of texture parameters as potential biomarkers of the disease. To this end, the ALTEA (ALzheimer TExture Analyzer) software tool was created to perform 2D and 3D texture analysis on magnetic resonance images. This intuitive tool was used to analyze textures of circular and spherical regions situated in the right and left hippocampi of a cohort of 105 patients: 35 AD patients, 35 patients with early mild cognitive impairment (EMCI) and 35 cognitively normal (CN) subjects. A total of 25 statistical texture parameters derived from the histogram, the Gray-Level Co-occurrence Matrix and the Gray-Level Run-Length Matrix, were extracted from each region and analyzed statistically to study their predictive capacity. Several textural parameters were statistically significant (p < 0.05) when differentiating AD subjects from CN and EMCI patients, which indicates that texture analysis could help to identify the presence of AD.

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Development of an Evaluation System for Magnetic Resonance Imaging Based Three-Dimensional Modeling of a Transfemoral Prosthetic Socket Using Finite Elements

Applied Sciences ◽

10.3390/app9183662 ◽

2019 ◽

Vol 9 (18) ◽

pp. 3662

Author(s):

Mohd Syahmi Jamaludin ◽

Akihiko Hanafusa ◽

Yamamoto Shinichirou ◽

Yukio Agarie ◽

Hiroshi Otsuka ◽

...

Keyword(s):

Magnetic Resonance ◽

Soft Tissue ◽

Computer Aided Design ◽

Evaluation System ◽

Three Dimensional ◽

Magnetic Resonance Images ◽

Future Research ◽

Tissue Deformation ◽

Soft Tissue Deformation ◽

Prosthetic Socket

Recent technologies have suggested the utilization of three-dimensional (3D) printing technology to enhance the fabrication accuracy of prosthetics. Accordingly, simulations are used to obtain precise parameters for subject-specified prosthetic socket. This study proposes an evaluation system to measure the accuracy of a subject-specific 3D transfemoral residuum model during the interaction with the socket in conjunction with the application of finite element methods. The proposed system can be used in future validations of socket fabrication. The evaluation is based on the measurement of the residuum’s soft tissue deformation inside two types of prosthetic sockets. In comparison with other studies, the 3D models were constructed with magnetic resonance images (MRI) with the aid of computer-aided design (CAD) software. The measurement of soft tissue deformation was conducted based on the measurement of the volumetric value of fat, muscle and skin in the pre- and post-donning phases. The result yielded a promising correlation coefficient value between the simulation and the experiment in the soft tissue deformation evaluation. The relation of the muscle–fat ratio in the residuum is extremely important in the determination of the ability of the prosthetic to deform. The environment during the socket fitting session was similar to that defined by the set boundary conditions in simulations. In view of the promising results of this study, the evaluation system proposed herein is considered reliable and is envisaged to be used in future research.

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Texture analysis of magnetic resonance images of rat muscles during atrophy and regeneration

Magnetic Resonance Imaging ◽

10.1016/j.mri.2005.10.002 ◽

2006 ◽

Vol 24 (2) ◽

pp. 167-171 ◽

Cited By ~ 37

Author(s):

Doaa Mahmoud-Ghoneim ◽

Yan Cherel ◽

Laurent Lemaire ◽

Jacques D. de Certaines ◽

Armelle Maniere

Keyword(s):

Magnetic Resonance ◽

Texture Analysis ◽

Magnetic Resonance Images

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Generalised lymphangiomatosis in an 8-year-old girl who presented with cardiomegaly

Cardiology in the Young ◽

10.1017/s1047951111000205 ◽

2011 ◽

Vol 21 (4) ◽

pp. 465-467 ◽

Cited By ~ 1

Author(s):

Funda Öztunç ◽

Bülent Koca ◽

İbrahim Adaletli

Keyword(s):

Computed Tomography ◽

Prognostic Factors ◽

Magnetic Resonance ◽

Soft Tissue ◽

Rare Disease ◽

Magnetic Resonance Images ◽

Cystic Lesions ◽

Radiological Evaluation ◽

Soft Tissue Involvement ◽

Lower Neck

AbstractGeneralised lymphangiomatosis is a rare disease that is characterized by widespread bony and soft tissue involvement of lymphangioma. Radiological evaluation is crucial because the site and extent of the lymphangioma are important prognostic factors. The computed tomography, ultrasonography and magnetic resonance images showed sharply defined, non-enhanced cystic lesions involving the mediastinum, bones, spleen, lung, and lower neck. We report here a case that was referred to us for investigation of marked cardiomegaly.

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