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dce-mri data processing  (Philips Healthcare)

 
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    Philips Healthcare dce-mri data processing
    Dce Mri Data Processing, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/dce-mri+data+processing/dce+mri/pm40311273-69-1-6
    Average 90 stars, based on 1 article reviews
    dce-mri data processing - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Contrast-enhanced orbital MRI for activity assessment and treatment response prediction in thyroid eye disease.
    Article Snippet: Objective: To investigate the performance of contrast-enhanced orbital MRI (T1-weighted contrast-enhanced [T1CE] and dynamic contrast-enhanced MRI [DCE-MRI]) for activity assessment and prediction of treatment response to intravenous glucocorticoid (IVGC) treatment in thyroid eye disease (TED).. Methods: A retrospective study of 59 active moderate-to-severe TED patients (36 responsive and 23 unresponsive) treated with IVGC, matched with 31 inactive TED patients were included.. T1CE and DCE-MRI were collected from each subject.

    Article Title: Evaluation of blood supply using dynamic contrast-enhanced magnetic resonance imaging and its application in spinal tumor surgery.
    Article Snippet: Objective: This study aimed to assess the utility of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in evaluating blood supply for spinal tumors and its predictive value for intraoperative blood loss and transfusion requirements during spinal tumor surgery.. Methods:We retrospectively analyzed clinical data from 20 patients with single vertebral tumors who underwent surgery at the Affiliated Hospital of Hebei University of Technology between December 2018 and December 2020.. Patients were categorized based on DCE-MRI into two groups: those with tumors indicating rich blood supply (15 patients, with 12 undergoing preoperative embolization) and those with non-rich blood supply tumors (5 patients, without embolization).



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    In vivo rVDI and rVSI maps and quantitative curves for tumor xenografts of CL1-0 cancer cells overexpressing one of three VEGF isoforms, evaluated by <t>SSCE-MRI.</t> Representative high-resolution maps of the (A) rVDI and (B) rVSI in the different VEGF-overexpressing and mock tumors on day 36 after tumor implantation. In rVDI map, the color ranged from blue (0 S -1/3 , lowest rVDI) to red (0.4 S -1/3 , highest rVDI). In rVSI map, the color ranged from blue (0, lowest rVSI) to red (30, highest rVSI).Quantitative analysis of (C) rVDI and (D) rVSI in the whole tumor (upper), tumor rim (middle), or tumor core (lower). Differences between VEGF-overexpressing tumors and mock tumors were significant at the * p <0.05, ** p <0.01, *** p <0.001, and **** p <0.0001 levels.
    The Processing Software For All Of The Quantitative Analyses Of The Data Obtained By Dce And Ssce Mri, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    In vivo rVDI and rVSI maps and quantitative curves for tumor xenografts of CL1-0 cancer cells overexpressing one of three VEGF isoforms, evaluated by <t>SSCE-MRI.</t> Representative high-resolution maps of the (A) rVDI and (B) rVSI in the different VEGF-overexpressing and mock tumors on day 36 after tumor implantation. In rVDI map, the color ranged from blue (0 S -1/3 , lowest rVDI) to red (0.4 S -1/3 , highest rVDI). In rVSI map, the color ranged from blue (0, lowest rVSI) to red (30, highest rVSI).Quantitative analysis of (C) rVDI and (D) rVSI in the whole tumor (upper), tumor rim (middle), or tumor core (lower). Differences between VEGF-overexpressing tumors and mock tumors were significant at the * p <0.05, ** p <0.01, *** p <0.001, and **** p <0.0001 levels.
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    In vivo rVDI and rVSI maps and quantitative curves for tumor xenografts of CL1-0 cancer cells overexpressing one of three VEGF isoforms, evaluated by SSCE-MRI. Representative high-resolution maps of the (A) rVDI and (B) rVSI in the different VEGF-overexpressing and mock tumors on day 36 after tumor implantation. In rVDI map, the color ranged from blue (0 S -1/3 , lowest rVDI) to red (0.4 S -1/3 , highest rVDI). In rVSI map, the color ranged from blue (0, lowest rVSI) to red (30, highest rVSI).Quantitative analysis of (C) rVDI and (D) rVSI in the whole tumor (upper), tumor rim (middle), or tumor core (lower). Differences between VEGF-overexpressing tumors and mock tumors were significant at the * p <0.05, ** p <0.01, *** p <0.001, and **** p <0.0001 levels.

    Journal: PLoS ONE

    Article Title: Functional and Structural Characteristics of Tumor Angiogenesis in Lung Cancers Overexpressing Different VEGF Isoforms Assessed by DCE- and SSCE-MRI

    doi: 10.1371/journal.pone.0016062

    Figure Lengend Snippet: In vivo rVDI and rVSI maps and quantitative curves for tumor xenografts of CL1-0 cancer cells overexpressing one of three VEGF isoforms, evaluated by SSCE-MRI. Representative high-resolution maps of the (A) rVDI and (B) rVSI in the different VEGF-overexpressing and mock tumors on day 36 after tumor implantation. In rVDI map, the color ranged from blue (0 S -1/3 , lowest rVDI) to red (0.4 S -1/3 , highest rVDI). In rVSI map, the color ranged from blue (0, lowest rVSI) to red (30, highest rVSI).Quantitative analysis of (C) rVDI and (D) rVSI in the whole tumor (upper), tumor rim (middle), or tumor core (lower). Differences between VEGF-overexpressing tumors and mock tumors were significant at the * p <0.05, ** p <0.01, *** p <0.001, and **** p <0.0001 levels.

    Article Snippet: The processing software for all of the quantitative analyses of the data obtained by DCE- and SSCE-MRI was written in MATLAB (MathWorks, Natick, MA, USA).

    Techniques: In Vivo, Tumor Implantation