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  1. Article ; Online: A comprehensive evaluation and impact of normalization of generalized tracer kinetic model parameters to characterize blood-brain-barrier permeability in normal-appearing and tumor tissue regions of patients with glioma.

    Sasi S, Dinil / Gupta, Rakesh K / Patir, Rana / Ahlawat, Suneeta / Vaishya, Sandeep / Singh, Anup

    Magnetic resonance imaging

    2021  Volume 83, Page(s) 77–88

    Abstract: Rationale and objectives: To comprehensively evaluate robustness and variations of DCE-MRI derived generalized-tracer-kinetic-model (GTKM) parameters in healthy and tumor tissues and impact of normalization in mitigating these variations on application ... ...

    Abstract Rationale and objectives: To comprehensively evaluate robustness and variations of DCE-MRI derived generalized-tracer-kinetic-model (GTKM) parameters in healthy and tumor tissues and impact of normalization in mitigating these variations on application to glioma.
    Materials (patients) and methods: A retrospective study included pre-operative 31 high-grade-glioma(HGG), 22 low-grade-glioma(LGG) and 33 follow-up data from 10 patients a prospective study with 4 HGG subjects. Voxel-wise GTKM was fitted to DCE-MRI data to estimate K
    Results: GTKM was fitted well in all tissue regions. K
    Conclusion: K
    MeSH term(s) Blood-Brain Barrier ; Brain Neoplasms/diagnostic imaging ; Contrast Media ; Glioma/diagnostic imaging ; Humans ; Magnetic Resonance Imaging ; Permeability ; Prospective Studies ; Retrospective Studies
    Chemical Substances Contrast Media
    Language English
    Publishing date 2021-07-24
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 604885-7
    ISSN 1873-5894 ; 0730-725X
    ISSN (online) 1873-5894
    ISSN 0730-725X
    DOI 10.1016/j.mri.2021.07.005
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1817: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: Evaluating the Role of Leakage Correction of Hemodynamic Parameters derived from Dynamic Contrast Enhanced MRI for Glioma Grading.

    Sankaralayam, Dinil Sasi / Ramaniharan, Anandh K / Gupta, Rakesh Kumar / Patir, Rana / Ahlawat, Sunita / Vaishya, Sandeep / Singh, Anup

    Journal of magnetic resonance imaging : JMRI

    2024  

    Language English
    Publishing date 2024-03-10
    Publishing country United States
    Document type Letter
    ZDB-ID 1146614-5
    ISSN 1522-2586 ; 1053-1807
    ISSN (online) 1522-2586
    ISSN 1053-1807
    DOI 10.1002/jmri.29338
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 3648: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 236: Show issues

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  3. Article ; Online: Evaluating feasibility of high resolution T1-perfusion MRI with whole brain coverage using compressed SENSE: Application to glioma grading.

    Sasi S, Dinil / Ramaniharan, Anandh K / Bhattacharjee, Rupsa / Gupta, Rakesh K / Saha, Indrajit / Van Cauteren, Marc / Shah, Tejas / Gopalakrishnan, Karthik / Gupta, Abhinav / Singh, Anup

    European journal of radiology

    2020  Volume 129, Page(s) 109049

    Abstract: Purpose: To evaluate the efficacy of optimized T1-Perfusion MRI protocol (protocol-2) with whole brain coverage and improved spatial resolution using Compressed-SENSE (CSENSE) to differentiate high-grade-glioma (HGG) and low-grade-glioma (LGG) and to ... ...

    Abstract Purpose: To evaluate the efficacy of optimized T1-Perfusion MRI protocol (protocol-2) with whole brain coverage and improved spatial resolution using Compressed-SENSE (CSENSE) to differentiate high-grade-glioma (HGG) and low-grade-glioma (LGG) and to compare it with the conventional protocol (protocol-1) with partial brain coverage used in our center.
    Methods: This study included MRI data from 5 healthy volunteers, a phantom and 126 brain tumor patients. Current study had two parts: To analyze the effect of CSENSE on 3D-T1-weighted (W) fast-field-echo (FFE) images, T1-W, dual-PDT2-W turbo-spin-echo images and T1 maps, and to evaluate the performance of high resolution T1-Perfusion MRI protocol with whole brain coverage optimized using CSENSE. Coefficient-of-Variation (COV), Relative-Percentage-Error (RPE), Normalized-Mean-Squared-Error (NMSE) and qualitative scoring were used for the former study. Tracer-kinetic (K
    Results: The image quality of all structural images was found to be of diagnostic quality till R = 4. NMSE in healthy T1-W-FFE images and COV in phantom images increased with-respect-to R and images provided optimum quality till R = 4. Structural images and maps exhibited artefacts from R = 6. All parameters in tumor tissue and hemodynamic parameters in healthy gray matter tissue computed from both protocols were not significantly different. Parameters computed from protocol-2 performed better in terms of glioma grading. For both protocols, rCBF performed least (AUC = 0.759 and 0.851) and combination of all parameters performed best (AUC = 0.890 and 0.964).
    Conclusion: CSENSE (R = 4) can be used to improve the resolution and brain coverage for T1-Perfusion analysis used to differentiate gliomas.
    MeSH term(s) Adolescent ; Adult ; Aged ; Aged, 80 and over ; Brain/diagnostic imaging ; Brain/pathology ; Brain Mapping/methods ; Brain Neoplasms/diagnostic imaging ; Brain Neoplasms/pathology ; Child ; Feasibility Studies ; Female ; Glioma/diagnostic imaging ; Glioma/pathology ; Humans ; Magnetic Resonance Imaging/methods ; Male ; Middle Aged ; Neoplasm Grading ; Phantoms, Imaging ; Prospective Studies ; Retrospective Studies ; Young Adult
    Language English
    Publishing date 2020-05-11
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 138815-0
    ISSN 1872-7727 ; 0720-048X
    ISSN (online) 1872-7727
    ISSN 0720-048X
    DOI 10.1016/j.ejrad.2020.109049
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 1630: Show issues Location:
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    ab Jg. 2022: Lesesaal (EG)

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