scholarly journals The Role of Dynamic Subtraction MRI in assessment of reactivity of HFLs post TACE by 3 tesla MRI machine

2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Medhat Refaat ◽  
Wael Elshawaf ◽  
Shorouk Abdel Aziz ◽  
Khalid Elsaied
Keyword(s):  
3 Tesla ◽  
2015 ◽  
Vol 5 (3) ◽  
pp. 103-106 ◽  
Author(s):  
Mariam Annan ◽  
Marie Gaudron ◽  
Jean-Philippe Cottier ◽  
Xavier Cazals ◽  
Maelle Dejobert ◽  
...  

Background/Aims: Hemorrhagic transformation (HT) is usually taken into account when symptomatic, but the role of asymptomatic HT is not well known. The aim of our study was to evaluate the link between HT after thrombolysis for ischemic stroke and functional outcome at 3 months, with particular emphasis on asymptomatic HT. Methods: Our study was performed prospectively between June 2012 and June 2013 in the Stroke Unit of the University Hospital Center of Tours (France). All patients treated with intravenous thrombolysis were consecutively included. HT was classified on susceptibility-weighted imaging (SWI) with 3-tesla MRI at 7 ± 3 days after treatment. We evaluated functional outcome at 3 months using the modified Rankin Scale (mRS). Dependency was defined as an mRS score of ≥3. Results: After 1 year, 128 patients had received thrombolytic therapy for ischemic stroke, of whom 90 patients underwent both 3-tesla MRI and SWI at day 7. Fifty-two had HT, including 8 symptomatic cases. At 3 months, 68% of those patients were dependent compared to 31% of patients without HT [OR 4.6 (1.9-11.4), p = 0.001]. In asymptomatic HT, the rate was 62% [OR 3.5 (1.4-8.9), p = 0.007], but did not reach significance after adjustment for stroke severity. Discussion: Our study found no statistically significant effect of HT on outcome after adjustment for initial stroke severity. However, the innocuousness of HT is not certain, and only few studies have already highlighted the increased risk of dependency. Using 3-tesla MRI with SWI allows us to increase the detection rate of small hemorrhage. Conclusion: HT after thrombolysis is very frequent on SWI, but the initial stroke severity is an important predictor to assess the role of HT for patient outcome.


2021 ◽  
Vol 69 (2) ◽  
pp. 394
Author(s):  
Shilpa Kulkarni ◽  
MakarandM Kulkarni ◽  
Aparna Patankar ◽  
Apurva Watve

Author(s):  
UKM Teichgräber ◽  
JG Pinkernelle ◽  
F Neumann ◽  
T Benter ◽  
H Bruhn ◽  
...  

2020 ◽  
Vol 28 (2) ◽  
pp. 215-222 ◽  
Author(s):  
S.R. Apprich ◽  
M.M. Schreiner ◽  
P. Szomolanyi ◽  
G.H. Welsch ◽  
U.K. Koller ◽  
...  

Author(s):  
Hala Maher Ahmed ◽  
Ahmed Ebrahim Ebeed ◽  
Ahmed Hamdy ◽  
Mohamed Abou El-Ghar ◽  
Ahmed Abdel Khalek Abdel Razek

Abstract Background A retrospective study was conducted on 71 consecutive patients with suspected prostate cancer (PCa) with a mean age of 56 years and underwent mp-MRI of the prostate at 3 Tesla MRI. Two readers recognized all prostatic lesions, and each lesion had a score according to Prostate Imaging–Reporting and Data System version 2 (PI-RADS-v2). Purpose of the study To evaluate the interobserver agreement of PI-RADS-v2 in characterization of prostatic lesions using multiparametric MRI (mp-MRI) at 3 Tesla MRI. Results The overall interobserver agreement of PI-RADS-v2 for both zones was excellent (k = 0.81, percent agreement = 94.9%). In the peripheral zone (PZ) lesions are the interobserver agreement for PI-RADS II (k = 0.78, percent agreement = 83.9%), PI-RADS III (k = 0.66, percent agreement = 91.3 %), PI-RADS IV (k = 0.69, percent agreement = 93.5%), and PI-RADS V (k = 0.91, percent agreement = 95.7 %). In the transitional zone (TZ) lesions are the interobserver agreement for PI-RADS I (k = 0.98, percent of agreement = 96%), PI-RADS II (k = 0.65, percent agreement = 96%), PI-RADS III (k = 0.65, percent agreement = 88%), PI-RADS IV (k = 0.83, percent agreement = 96%), and PI-RADS V (k = 0.82, percent agreement = 92%). Conclusion We concluded that PI-RADS-v2 is a reliable and a reproducible imaging modality for the characterization of prostatic lesions and detection of PCa.


2016 ◽  
Vol 77 (2) ◽  
pp. 806-813 ◽  
Author(s):  
Jorn Fierstra ◽  
Jan-Karl Burkhardt ◽  
Christiaan Hendrik Bas van Niftrik ◽  
Marco Piccirelli ◽  
Athina Pangalu ◽  
...  

2016 ◽  
Vol 24 (3) ◽  
pp. S132-S133
Author(s):  
Sivakumar P. Thangaraju ◽  
Srikanth Miriyala ◽  
Nagalakshmi R M ◽  
Harshita Vishwakarma ◽  
Shivakumar Venkatram ◽  
...  

2008 ◽  
Vol 1 (2) ◽  
pp. 196-200 ◽  
Author(s):  
Masami Goto ◽  
Yuuichi Suzuki ◽  
Osamu Abe ◽  
Naoto Hayashi ◽  
Shigeki Aoki ◽  
...  
Keyword(s):  
3 Tesla ◽  

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