3D Texture Analysis of MRI Relaxation Time Maps for Assessment of Repair Cartilage with Treatment of Allogeneic Human Adipose-Derived Mesenchymal Progenitor Cells

Abstract Background: We used textural analysis matrix to examine the spatial distribution of pixel values and detect the compositional variation of repair cartilage with treatment of allogeneic human adipose-derived mesenchymal progenitor cells (haMPCs). Methods: Eighteen patients were divided randomly into three groups with intra-articular injections of haMPCs: the low-dose (1.0×107 cells), mid-dose (2.0×107), and high-dose (5.0×107) group with six patients each. 3D texture analyses based on gray level run-length matrix (GLRLM) of the segmented ROIs on MRI relaxation time maps including T1rho, T2, T2* and R2*. Five GLRLM parameters were analyzed, including run length non-uniformity (RLNonUni), grey level non-uniformity (GLevNonU), long run emphasis (LngREmph), short run emphasis (ShrtREmp) and fraction of image in runs (Fraction). We used the difference before and after treatment (D values) as the object to avoid errors caused by individual differences. Two-tailed Pearson linear correlation analysis was used to investigate correlations between texture parameters and the WOMAC scores. Results: The heterogeneity of spatial distribution of MRI relaxation time mapping pixels from three groups was decreased to varying degrees at 48 weeks after intra-articular injection of haMPCs. Spatial distribution of cartilage relaxation time maps pixels were uneven and layered, especially in T2 maps. Compared with base time, there were significant differences among three dose groups in GLRLM features for T1rho map including RLNonUni, GLevNonU, LngREmph, for T2 map including LngREmph, GLevNonU, ShrtREmp, for T2* map including RLNonUni, GLevNonU, and for R2* map including RLNonUni, GLevNonU. WOMAC pain scores were associated with RLNonUni of T1rho map, GLevNonU of T2 map, LngREmph of T2* map, LngREmph of R2* map and Fraction of T1rho map, whereas no significant correlations in other measurements.Conclusions: MRI texture analysis of cartilage may allow detection of the compositional variation of repair cartilage with treatment of allogeneic haMPCs. This has potential applications in understanding mechanism of stem cells repairing cartilage and assessing response to treatment.Trial registration: Clinicaltrials, NCT02641860. Registered 3 December 2015.https://www.clinicaltrials.gov/ct2/show/NCT02641860

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3D Texture Analysis of Corpus Caliosum Based on MR Images Inpatients with Alzheimer’s Disease and Mild Cognitive Impairment

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.533.415 ◽

2014 ◽

Vol 533 ◽

pp. 415-420 ◽

Cited By ~ 4

Author(s):

Wei Fang Liu ◽

Xu Wang ◽

Hong Xia

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Corpus Callosum ◽

Texture Analysis ◽

Three Dimensional ◽

Texture Features ◽

Grey Level ◽

Run Length ◽

3D Texture ◽

3D Texture Analysis

This study investigated three-dimensional (3D) texture as a possible diagnostic marker of Alzheimers disease (AD). Methods: T1-weighted MRI of 18 AD patients, 18 Mild Cognitive Impairment (MCI) patients and 18 normal controls (NC) were selected.3D Texture parameters of the corpus callosum,including contrast, inverse difference moment , entropy, short run emphasis, long run emphasis, grey level nonuniformity, run length nonuniformity and fraction were extracted from the gray level co-occurrence matrix and run length matrix. Finally statistic significance was tested among three groups, and the correlations between parameters and Mini-Mental State Examination (MMSE) scores were calculated. Results: The results showed that the 3D texture features had significant differences (p<0.05) among three groups except grey level nonuniformity and run length nonuniformity that the difference was not significant (p>0.05) between MCI and NC or AD and MCI , and they were correlated with MMSE scores.Conclusions: 3D texture analysis can reflect the pathological changes of corpus callosum in patients with AD and MCI, and it may be helpful to AD early diagnosis.

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Intra-articular injections of allogeneic human adipose-derived mesenchymal progenitor cells in patients with symptomatic bilateral knee osteoarthritis: a Phase I pilot study

Regenerative Medicine ◽

10.2217/rme-2019-0106 ◽

2020 ◽

Vol 15 (5) ◽

pp. 1625-1636 ◽

Cited By ~ 1

Author(s):

Liangjing Lu ◽

Chengxiang Dai ◽

Hui Du ◽

Suke Li ◽

Ping Ye ◽

...

Keyword(s):

Adverse Events ◽

Knee Osteoarthritis ◽

Phase I ◽

Progenitor Cells ◽

Low Dose ◽

Short Form ◽

High Dose ◽

Mesenchymal Progenitor Cells ◽

End Points ◽

Bilateral Knee

Aim: This study investigated the safety and clinical outcomes of expanded allogeneic human adipose-derived mesenchymal progenitor cells injected into patients with symptomatic, bilateral knee osteoarthritis. Design: In this single-site, randomized, double-blind, dose-ranging, Phase I study, patients were randomized to three treatment groups (low dose, 1 × 107 cells; medium dose, 2 × 107 cells; high dose, 5 × 107 cells). All patients received two bilateral intra-articular injections: week 0 (baseline) and week 3. The primary end point was adverse events within 48 weeks. Secondary end points were measured with Western Ontario and McMaster Universities Osteoarthritis index, visual analog scale, short form-36 at weeks 12, 24 and 48. Quantitative MRI measurements of cartilage volume were compared from baseline and week 48. Results: A total of 22 subjects were enrolled of which 19 (86%) completed the study. Adverse events were transient, including mild to moderate pain and swelling of injection site. Improvements from baseline were measured in the secondary end points. MRI assessments showed slight improvements in the low-dose group. Conclusion: Safety and improvements in pain and function after intra-articular injections of allogeneic human adipose-derived mesenchymal progenitor cells into arthritic patients was demonstrated.

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Multi-compositional MRI evaluation of repair cartilage in knee osteoarthritis with treatment of allogeneic human adipose-derived mesenchymal progenitor cells

Stem Cell Research & Therapy ◽

10.1186/s13287-019-1406-7 ◽

2019 ◽

Vol 10 (1) ◽

Cited By ~ 5

Author(s):

Xinxin Zhao ◽

Jingjing Ruan ◽

Hui Tang ◽

Jia Li ◽

Yingxuan Shi ◽

...

Keyword(s):

Knee Osteoarthritis ◽

Progenitor Cells ◽

Structural Changes ◽

High Dose ◽

Mesenchymal Progenitor Cells ◽

Clinical Evaluations ◽

Sf 36 ◽

Mri Sequences ◽

Magnetic Resonance Imaging Mri ◽

New Treatment

Abstract Background We used multimodal compositional magnetic resonance imaging (MRI) techniques, combined with clinical outcomes, to differentiate the alternations of composition in repair cartilage with allogeneic human adipose-derived mesenchymal progenitor cells (haMPCs) in knee osteoarthritis (KOA) patients. Methods Eighteen patients participated a phase I/IIa clinical trial. All patients were divided randomly into three groups with intra-articular injections of haMPCs: the low-dose (1.0 × 107 cells), mid-dose (2.0 × 107), and high-dose (5.0 × 107) groups with six patients each. Compositional MRI examinations and clinical evaluations were performed at different time points. Results Significant differences were observed in quantitative T1rho, T2, T2star, R2star, and ADC measurements in patients of three dose groups, suggesting a possible compositional changes of cartilage with the treatment of allogeneic haMPCs. Also significant reduction in WOMAC and SF-36 scores showed the symptoms might be alleviated to some extent with this new treatment. As regards sensibilities of multi-parametric mappings to detect compositional or structural changes of cartilage, T1rho mapping was most sensitive to differentiate difference between three dose groups. Conclusions These results showed that multi-compositional MRI sequences might be an effective tool to evaluate the promotion of the repair of cartilage with allogeneic haMPCs by providing information of compositional alterations of cartilage. Trial registration Clinicaltrials, NCT02641860. Registered 3 December 2015.

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Minimal Toxicity to Myeloid Progenitor Cells of Weekly24-Hr Infusion of High-Dose 5-Fluorouracil: Direct Evidence from Colony Forming Unit-Granulocyte andMonocyte (CFU-GM) Clonogenic Assay

Pharmacology & Toxicology ◽

10.1034/j.1600-0773.2000.d01-22.x ◽

2000 ◽

Vol 86 (3) ◽

pp. 122-124 ◽

Cited By ~ 8

Author(s):

Kun-Huei Yeh ◽

Shiou-Hwei Yeh ◽

Yu-Shiahn Chang ◽

Ann-Lii ChengNote

Keyword(s):

Progenitor Cells ◽

Direct Evidence ◽

Clonogenic Assay ◽

High Dose ◽

Colony Forming Unit ◽

Minimal Toxicity ◽

Myeloid Progenitor ◽

Myeloid Progenitor Cells

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Characterization of Pancreas at Diabetic Patients in CT images using Texture Analysis

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i7.88 ◽

2017 ◽

Vol 7 (7) ◽

pp. 8

Author(s):

Mona E. Elbashier ◽

Suhaib Alameen ◽

Caroline Edward Ayad ◽

Mohamed E. M. Gar-Elnabi

Keyword(s):

Size Distribution ◽

Texture Analysis ◽

Classification Accuracy ◽

Ct Images ◽

Diabetic Patients ◽

Gray Level ◽

Grey Level ◽

Run Length ◽

Interactive Data

This study concern to characterize the pancreas areato head, body and tail using Gray Level Run Length Matrix (GLRLM) and extract classification features from CT images. The GLRLM techniques included eleven’s features. To find the gray level distribution in CT images it complements the GLRLM features extracted from CT images with runs of gray level in pixels and estimate the size distribution of thesubpatterns. analyzing the image with Interactive Data Language IDL software to measure the grey level distribution of images. The results show that the Gray Level Run Length Matrix and features give classification accuracy of pancreashead 89.2%, body 93.6 and the tail classification accuracy 93.5%. The overall classification accuracy of pancreas area 92.0%.These relationships are stored in a Texture Dictionary that can be later used to automatically annotate new CT images with the appropriate pancreas area names.

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