Literature DB >> 14755424

MR thermometry-based feedback control of laser interstitial thermal therapy at 980 nm.

Roger J McNichols1, Ashok Gowda, Marko Kangasniemi, James A Bankson, Roger E Price, John D Hazle.   

Abstract

BACKGROUND AND OBJECTIVES: The goal of this study was to explore the feasibility of magnetic resonance thermal imaging (MRTI)-based feedback control of intracerebral laser interstitial thermal therapy (LITT), using a computer workstation and 980-nm diode laser interfaced to an MR scanner. STUDY DESIGN/
MATERIALS AND METHODS: A computer-controlled laser thermal therapy system was used to produce 12 ex vivo lesions in 3 canine and porcine brains and 16 in vivo lesions in 6 canines with diffusing tip fiberoptic applicators and energies from 54 to 900 J. MRTI predictions of thermal damage were correlated with histopathologic analysis.
RESULTS: Under feedback control, no carbonization, vaporization, or applicator damage was observed. MRTI-based prediction of thermal dose was not significantly different from histological evaluation of achieved thermal necrosis.
CONCLUSIONS: The computer-controlled thermal therapy system was effective at regulating heating, eliminating carbonization and vaporization, and protecting fiberoptic applicators. MRTI estimation of thermal dose accurately predicted achieved thermal necrosis. Copyright 2004 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2004        PMID: 14755424     DOI: 10.1002/lsm.10243

Source DB:  PubMed          Journal:  Lasers Surg Med        ISSN: 0196-8092            Impact factor:   4.025


  35 in total

1.  High-fidelity computer models for prospective treatment planning of radiofrequency ablation with in vitro experimental correlation.

Authors:  David Fuentes; Rex Cardan; R Jason Stafford; Joshua Yung; Gerald D Dodd; Yusheng Feng
Journal:  J Vasc Interv Radiol       Date:  2010-11       Impact factor: 3.464

2.  Quantitative comparison of thermal dose models in normal canine brain.

Authors:  Joshua P Yung; Anil Shetty; Andrew Elliott; Jeffrey S Weinberg; Roger J McNichols; Ashok Gowda; John D Hazle; R Jason Stafford
Journal:  Med Phys       Date:  2010-10       Impact factor: 4.071

3.  Magnetic resonance guided, focal laser induced interstitial thermal therapy in a canine prostate model.

Authors:  R Jason Stafford; Anil Shetty; Andrew M Elliott; Sherry A Klumpp; Roger J McNichols; Ashok Gowda; John D Hazle; John F Ward
Journal:  J Urol       Date:  2010-08-19       Impact factor: 7.450

Review 4.  Laser induced thermal therapy (LITT) for pediatric brain tumors: case-based review.

Authors:  Margaret Riordan; Zulma Tovar-Spinoza
Journal:  Transl Pediatr       Date:  2014-07

5.  Dynamic modeling of photothermal interactions for laser-induced interstitial thermotherapy: parameter sensitivity analysis.

Authors:  S C Jiang; X X Zhang
Journal:  Lasers Med Sci       Date:  2005-11-19       Impact factor: 3.161

6.  Focal therapy for localized prostate cancer -choosing the middle ground.

Authors:  Uri Lindner; John Trachtenberg
Journal:  Can Urol Assoc J       Date:  2009-08       Impact factor: 1.862

Review 7.  Targeted prostate biopsy and MR-guided therapy for prostate cancer.

Authors:  David A Woodrum; Akira Kawashima; Krzysztof R Gorny; Lance A Mynderse
Journal:  Abdom Radiol (NY)       Date:  2016-05

8.  Correlation between the temperature dependence of intrinsic MR parameters and thermal dose measured by a rapid chemical shift imaging technique.

Authors:  B A Taylor; A M Elliott; K P Hwang; J D Hazle; R J Stafford
Journal:  NMR Biomed       Date:  2011-07-01       Impact factor: 4.044

9.  Improved MR thermometry for laser interstitial thermotherapy.

Authors:  Henrik Odéen; Dennis L Parker
Journal:  Lasers Surg Med       Date:  2019-01-15       Impact factor: 4.025

10.  Stereotactic laser induced thermotherapy (LITT): a novel treatment for brain lesions regrowing after radiosurgery.

Authors:  Juan Torres-Reveron; Hilarie C Tomasiewicz; Anil Shetty; Nduka M Amankulor; Veronica L Chiang
Journal:  J Neurooncol       Date:  2013-05-16       Impact factor: 4.130

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