Literature DB >> 15063522

High intensity focused ultrasound ablation of kidney guided by MRI.

Christakis Damianou1, M Pavlou, O Velev, K Kyriakou, M Trimikliniotis.   

Abstract

The effectiveness of magnetic resonance imaging (MRI) to monitor therapeutic protocols of high-intensity focused ultrasound (HIFU), in freshly excised pig kidney cortex is investigated. For high quality imaging, the pulse sequence fast spin echo (FSE) T1- and T2-weighted, and proton density were evaluated. For fast imaging, the pulse sequence T1-weighted fast spoiled gradient (FSPGR) was used. The main goal was to evaluate the MRI detection of large lesions (bigger than 1 cm x 1 cm x 1 cm) that is achieved by moving the transducer in a predetermined pattern. The contrast between lesion and kidney tissue is excellent with either T1-weighted or T2-weighted FSE. With T1-weighted FSE, the best contrast is observed for recovery time (TR) between 200 ms and 400 ms. With T2-weighted FSE best contrast can be achieved for echo time (TE) between 16 and 32 ms. T2-weighted FSE was proven as the best pulse sequence to detect cavitational activity. This advantage is attributed to the significant difference in signal intensity between air spaces and necrotic tissue. Air spaces appear brighter than thermal lesions. Therefore, for therapeutic protocols created using cavitational mode, T2-weighted FSE may be the optimum pulse sequence to use. The proton density pulse sequence does not provide any advantage over the T1- and T2-weighted pulse sequences. Using T1-weighted FSPGR, acquisition time as low as 5 s could be achieved. Good contrast and signal-to-noise ratio (SNR) are achieved with TR = 100 ms and flip angle between 75 to 90 degrees. The above techniques were very successful in detecting large lesion volumes.

Entities:  

Mesh:

Year:  2004        PMID: 15063522     DOI: 10.1016/j.ultrasmedbio.2003.10.018

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  8 in total

1.  MRI-compatible positioning device for guiding a focused ultrasound system for transrectal treatment of prostate cancer.

Authors:  Christos Yiallouras; Nicos Mylonas; Christakis Damianou
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-12-13       Impact factor: 2.924

2.  Assessment of acute thermal damage volumes in muscle using magnetization-prepared 3D T2 -weighted imaging following MRI-guided high-intensity focused ultrasound therapy.

Authors:  Robert M Staruch; Joris Nofiele; Jamie Walker; Chenchen Bing; Ananth J Madhuranthakam; April Bailey; Young-Sun Kim; Avneesh Chhabra; Dennis Burns; Rajiv Chopra
Journal:  J Magn Reson Imaging       Date:  2017-01-09       Impact factor: 4.813

3.  Application of high-intensity focused ultrasound for fetal therapy: experimental study using an animal model of lower urinary tract obstruction.

Authors:  Hiroko Aoki; Kiyotake Ichizuka; Mitsuyoshi Ichihara; Ryu Matsuoka; Junichi Hasegawa; Takashi Okai; Shinichirou Umemura
Journal:  J Med Ultrason (2001)       Date:  2012-09-08       Impact factor: 1.314

Review 4.  Oncologic outcomes for ablative therapy of kidney cancer.

Authors:  Sangtae Park; Jeffrey A Cadeddu; W Bruce Shingleton
Journal:  Curr Urol Rep       Date:  2007-01       Impact factor: 3.092

5.  [HIFU in urological oncology].

Authors:  S Thüroff; C Chaussy
Journal:  Urologe A       Date:  2008-04       Impact factor: 0.639

6.  High-Intensity Focused Ultrasound Thermal Lesion Detection Using Entropy Imaging of Ultrasound Radio Frequency Signal Time Series.

Authors:  Maryam Mohammadi Monfared; Hamid Behnam; Parisa Rangraz; Jahan Tavakkoli
Journal:  J Med Ultrasound       Date:  2018-03-28

7.  High-Intensity Focused Ultrasound Lesion Detection Using Adaptive Compressive Sensing Based on Empirical Mode Decomposition.

Authors:  Hadi Ghasemifard; Hamid Behnam; Jahan Tavakkoli
Journal:  J Med Signals Sens       Date:  2019 Jan-Mar

8.  A Feed-forward Neural Network Algorithm to Detect Thermal Lesions Induced by High Intensity Focused Ultrasound in Tissue.

Authors:  Parisa Rangraz; Hamid Behnam; Naser Shakhssalim; Jahan Tavakkoli
Journal:  J Med Signals Sens       Date:  2012-10
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.