Literature DB >> 25469997

Multiparametric MRI in characterizing venous thrombi and pulmonary thromboemboli acquired from patients with pulmonary embolism.

Jernej Vidmar1,2, Eduard Kralj3, Franci Bajd2,4, Igor Serša2.   

Abstract

BACKGROUND: The structure of thrombi plays an important role in delaying reperfusion and re-occlusion after intravenous thrombolysis and could influence the performance of mechanical thrombectomy devices. This study aims to distinguish various thrombi groups based on their T2 and apparent diffusion coefficient (ADC) properties.
METHODS: 26 venous thrombi (VT), 28 acute (aPTE) and 18 chronic pulmonary thromboemboli (cPTE) and 18 sedimented clots (SC) were scanned by a three-dimensional T1 -weighted spin-echo sequence and by T2 and ADC mapping. Immunohistochemical analysis was used as a reference. Differences in the ADC, T2 and paired ADC-T2 distributions between the various thrombi group pairs were analyzed by standard statistics as well as by overlap integrals.
RESULTS: Paired ADC-T2 distribution enabled the most efficient discrimination of structural changes between pairs of thrombi. For thrombi pairs VT-cPTE, VT-SC, aPTE-cPTE, aPTE-SC, cPTE-SC differences were statistically significant (pADC , pT 2 , pADC-T 2 < 0.05) and the values of the overlap integrals were low (OIADC ≤ 0.505, OIT2 ≤ 0.823, OIADC-T2 ≤ 0.379). Least efficient was the structural discrimination for the VT-aPTE pair (pT 2 = 0.877, OIT2 = 0.940).
CONCLUSION: Multiparametric MRI is an efficient method for discriminating different thrombi groups at various stages of organization.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  ADC mapping; T2 mapping; multiparametric MRI; pulmonary thromboemboli

Mesh:

Year:  2014        PMID: 25469997     DOI: 10.1002/jmri.24816

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  9 in total

Review 1.  Use of Computed Tomography and Magnetic Resonance Imaging in Central Venous Disease.

Authors:  Justinas Silickas; Stephen A Black; Alkystis Phinikaridou; Adam M Gwozdz; Alberto Smith; Prakash Saha
Journal:  Methodist Debakey Cardiovasc J       Date:  2018 Jul-Sep

2.  Multiparametric MRI in differentiating pulmonary artery sarcoma and pulmonary thromboembolism: a preliminary experience.

Authors:  Min Liu; Chunhai Luo; Ying Wang; Xiaojuan Guo; Zhanhong Ma; Yuanhua Yang; Tianjing Zhang
Journal:  Diagn Interv Radiol       Date:  2017 Jan-Feb       Impact factor: 2.630

3.  Multiparametric High-Resolution MRI as a Tool for Mapping of Hypoxic Level in Tumors.

Authors:  Igor Serša; Franci Bajd; Monika Savarin; Tanja Jesenko; Maja Čemažar; Gregor Serša
Journal:  Technol Cancer Res Treat       Date:  2018-01-01

4.  Magnetic resonance microscopy of samples with translational symmetry with FOVs smaller than sample size.

Authors:  Igor Serša
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

5.  An Intermodal Correlation Study among Imaging, Histology, Procedural and Clinical Parameters in Cerebral Thrombi Retrieved from Anterior Circulation Ischemic Stroke Patients.

Authors:  Rebeka Viltužnik; Franci Bajd; Zoran Miloševič; Igor Kocijančič; Miran Jeromel; Andrej Fabjan; Eduard Kralj; Jernej Vidmar; Igor Serša
Journal:  J Clin Med       Date:  2022-10-10       Impact factor: 4.964

6.  Diffusion-weighted imaging in acute pulmonary embolism: a feasibility study.

Authors:  Roberto Vargas Paris; Mikael Skorpil; Eli Westerlund; Peter Lindholm; Sven Nyrén
Journal:  Acta Radiol Open       Date:  2018-06-25

7.  Comparison between CT and MRI in the assessment of pulmonary embolism: A meta-analysis.

Authors:  Feng Chen; Yi-Hong Shen; Xu-Qing Zhu; Jing Zheng; Feng-Jie Wu
Journal:  Medicine (Baltimore)       Date:  2017-12       Impact factor: 1.889

8.  Retrieved cerebral thrombi studied by T2 and ADC mapping: preliminary results.

Authors:  Jernej Vidmar; Franci Bajd; Zoran V Milosevic; Igor J Kocijancic; Miran Jeromel; Igor Sersa
Journal:  Radiol Oncol       Date:  2019-11-20       Impact factor: 2.991

9.  High Signal Intensity on Diffusion-Weighted Images Reflects Acute Phase of Deep Vein Thrombus.

Authors:  Toshihiro Gi; Yasuyoshi Kuroiwa; Atsushi Yamashita; Yuko Mizutani; Taketoshi Asanuma; Tosiaki Miyati; Kazunari Maekawa; Murasaki Aman; Takuroh Imamura; Yujiro Asada
Journal:  Thromb Haemost       Date:  2020-08-03       Impact factor: 5.249

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.