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  1. Article ; Online: Multiinstitutional Evaluation of the Liver Surface Nodularity Score on CT for Staging Liver Fibrosis and Predicting Liver-Related Events in Patients With Hepatitis C.

    Elkassem, Asser Abou / Allen, Brian C / Lirette, Seth T / Cox, Kelly L / Remer, Erick M / Pickhardt, Perry J / Lubner, Meghan G / Sirlin, Claude B / Dondlinger, Timothy / Schmainda, Michael / Jacobus, Robert B / Severino, Paige E / Smith, Andrew D

    AJR. American journal of roentgenology

    2021  Volume 218, Issue 5, Page(s) 833–845

    Abstract: BACKGROUND. ...

    Abstract BACKGROUND.
    MeSH term(s) Biopsy ; Female ; Fibrosis ; Hepacivirus ; Hepatitis C ; Humans ; Liver/diagnostic imaging ; Liver/pathology ; Liver Cirrhosis/pathology ; Male ; Middle Aged ; Retrospective Studies ; Tomography, X-Ray Computed/methods
    Language English
    Publishing date 2021-12-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 82076-3
    ISSN 1546-3141 ; 0361-803X ; 0092-5381
    ISSN (online) 1546-3141
    ISSN 0361-803X ; 0092-5381
    DOI 10.2214/AJR.21.27062
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Ue I Zs.57: Show issues Location:
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    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  2. Article: A cross-sectional study to test equivalence of low- versus intermediate-flip angle dynamic susceptibility contrast MRI measures of relative cerebral blood volume in patients with high-grade gliomas at 1.5 Tesla field strength.

    Shiroishi, Mark S / Weinert, Dane / Cen, Steven Y / Varghese, Bino / Dondlinger, Timothy / Prah, Melissa / Mendoza, Jesse / Nazemi, Sina / Ameli, Nima / Amini, Negin / Shohas, Salman / Chen, Shannon / Bigjahan, Bavrina / Zada, Gabriel / Chen, Thomas / Neman-Ebrahim, Josh / Chang, Eric L / Chow, Frances E / Fan, Zhaoyang /
    Yang, Wensha / Attenello, Frank J / Ye, Jason / Kim, Paul E / Patel, Vishal N / Lerner, Alexander / Acharya, Jay / Hu, Leland S / Quarles, C Chad / Boxerman, Jerrold L / Wu, Ona / Schmainda, Kathleen M

    Frontiers in oncology

    2023  Volume 13, Page(s) 1156843

    Abstract: Introduction: 1.5 Tesla (1.5T) remain a significant field strength for brain imaging worldwide. Recent computer simulations and clinical studies at 3T MRI have suggested that dynamic susceptibility contrast (DSC) MRI using a 30° flip angle ("low-FA") ... ...

    Abstract Introduction: 1.5 Tesla (1.5T) remain a significant field strength for brain imaging worldwide. Recent computer simulations and clinical studies at 3T MRI have suggested that dynamic susceptibility contrast (DSC) MRI using a 30° flip angle ("low-FA") with model-based leakage correction and no gadolinium-based contrast agent (GBCA) preload provides equivalent relative cerebral blood volume (rCBV) measurements to the reference-standard acquisition using a single-dose GBCA preload with a 60° flip angle ("intermediate-FA") and model-based leakage correction. However, it remains unclear whether this holds true at 1.5T. The purpose of this study was to test this at 1.5T in human high-grade glioma (HGG) patients.
    Methods: This was a single-institution cross-sectional study of patients who had undergone 1.5T MRI for HGG. DSC-MRI consisted of gradient-echo echo-planar imaging (GRE-EPI) with a low-FA without preload (30°/P-); this then subsequently served as a preload for the standard intermediate-FA acquisition (60°/P+). Both normalized (nrCBV) and standardized relative cerebral blood volumes (srCBV) were calculated using model-based leakage correction (C+) with IBNeuro™ software. Whole-enhancing lesion mean and median nrCBV and srCBV from the low- and intermediate-FA methods were compared using the Pearson's, Spearman's and intraclass correlation coefficients (ICC).
    Results: Twenty-three HGG patients composing a total of 31 scans were analyzed. The Pearson and Spearman correlations and ICCs between the 30°/P-/C+ and 60°/P+/C+ acquisitions demonstrated high correlations for both mean and median nrCBV and srCBV.
    Conclusion: Our study provides preliminary evidence that for HGG patients at 1.5T MRI, a low FA, no preload DSC-MRI acquisition can be an appealing alternative to the reference standard higher FA acquisition that utilizes a preload.
    Language English
    Publishing date 2023-09-20
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2023.1156843
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Integrated molecular and multiparametric MRI mapping of high-grade glioma identifies regional biologic signatures.

    Hu, Leland S / D'Angelo, Fulvio / Weiskittel, Taylor M / Caruso, Francesca P / Fortin Ensign, Shannon P / Blomquist, Mylan R / Flick, Matthew J / Wang, Lujia / Sereduk, Christopher P / Meng-Lin, Kevin / De Leon, Gustavo / Nespodzany, Ashley / Urcuyo, Javier C / Gonzales, Ashlyn C / Curtin, Lee / Lewis, Erika M / Singleton, Kyle W / Dondlinger, Timothy / Anil, Aliya /
    Semmineh, Natenael B / Noviello, Teresa / Patel, Reyna A / Wang, Panwen / Wang, Junwen / Eschbacher, Jennifer M / Hawkins-Daarud, Andrea / Jackson, Pamela R / Grunfeld, Itamar S / Elrod, Christian / Mazza, Gina L / McGee, Sam C / Paulson, Lisa / Clark-Swanson, Kamala / Lassiter-Morris, Yvette / Smith, Kris A / Nakaji, Peter / Bendok, Bernard R / Zimmerman, Richard S / Krishna, Chandan / Patra, Devi P / Patel, Naresh P / Lyons, Mark / Neal, Matthew / Donev, Kliment / Mrugala, Maciej M / Porter, Alyx B / Beeman, Scott C / Jensen, Todd R / Schmainda, Kathleen M / Zhou, Yuxiang / Baxter, Leslie C / Plaisier, Christopher L / Li, Jing / Li, Hu / Lasorella, Anna / Quarles, C Chad / Swanson, Kristin R / Ceccarelli, Michele / Iavarone, Antonio / Tran, Nhan L

    Nature communications

    2023  Volume 14, Issue 1, Page(s) 6066

    Abstract: Sampling restrictions have hindered the comprehensive study of invasive non-enhancing (NE) high-grade glioma (HGG) cell populations driving tumor progression. Here, we present an integrated multi-omic analysis of spatially matched molecular and multi- ... ...

    Abstract Sampling restrictions have hindered the comprehensive study of invasive non-enhancing (NE) high-grade glioma (HGG) cell populations driving tumor progression. Here, we present an integrated multi-omic analysis of spatially matched molecular and multi-parametric magnetic resonance imaging (MRI) profiling across 313 multi-regional tumor biopsies, including 111 from the NE, across 68 HGG patients. Whole exome and RNA sequencing uncover unique genomic alterations to unresectable invasive NE tumor, including subclonal events, which inform genomic models predictive of geographic evolution. Infiltrative NE tumor is alternatively enriched with tumor cells exhibiting neuronal or glycolytic/plurimetabolic cellular states, two principal transcriptomic pathway-based glioma subtypes, which respectively demonstrate abundant private mutations or enrichment in immune cell signatures. These NE phenotypes are non-invasively identified through normalized K2 imaging signatures, which discern cell size heterogeneity on dynamic susceptibility contrast (DSC)-MRI. NE tumor populations predicted to display increased cellular proliferation by mean diffusivity (MD) MRI metrics are uniquely associated with EGFR amplification and CDKN2A homozygous deletion. The biophysical mapping of infiltrative HGG potentially enables the clinical recognition of tumor subpopulations with aggressive molecular signatures driving tumor progression, thereby informing precision medicine targeting.
    MeSH term(s) Humans ; Brain Neoplasms/diagnostic imaging ; Brain Neoplasms/genetics ; Brain Neoplasms/pathology ; Multiparametric Magnetic Resonance Imaging ; Homozygote ; Sequence Deletion ; Glioma/diagnostic imaging ; Glioma/genetics ; Glioma/pathology ; Magnetic Resonance Imaging/methods ; Biological Products
    Chemical Substances Biological Products
    Language English
    Publishing date 2023-09-28
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-023-41559-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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