Literature DB >> 32141080

Simulated accuracy assessment of small footprint body-mounted probe alignment device for MRI-guided cryotherapy of abdominal lesions.

Naoyuki Shono1, Brian Ninni1,2, Franklin King1, Takahisa Kato1,2, Junichi Tokuda1, Takahiro Fujimoto3, Kemal Tuncali1, Nobuhiko Hata1.   

Abstract

PURPOSE: Magnetic resonance imaging (MRI)-guided percutaneous cryotherapy of abdominal lesions, an established procedure, uses MRI to guide and monitor the cryoablation of lesions. Methods to precisely guide cryotherapy probes with a minimum amount of trial-and-error are yet to be established. To aid physicians in attaining precise probe alignment without trial-and-error, a body-mounted motorized cryotherapy-probe alignment device (BMCPAD) with motion compensation was clinically tested in this study. The study also compared the contribution of body motion and organ motion compensation to the guidance accuracy of a body-mounted probe alignment device.
METHODS: The accuracy of guidance using the BMCPAD was prospectively measured during MRI-guided percutaneous cryotherapies before insertion of the probes. Clinical parameters including patient age, types of anesthesia, depths of the target, and organ sites of target were collected. By using MR images of the target organs and fiducial markers embedded in the BMCPAD, we retrospectively simulated the guidance accuracy with body motion compensation, organ motion compensation, and no compensation. The collected data were analyzed to test the impact of motion compensation on the guidance accuracy.
RESULTS: Thirty-seven physical guidance of probes were prospectively recorded for sixteen completed cases. The accuracy of physical guidance using the BMCPAD was 13.4 ± 11.1 mm. The simulated accuracy of guidance with body motion compensation, organ motion compensation, and no compensation was 2.4 ± 2.9 mm, 2.2 ± 1.6 mm, and 3.5 ± 2.9 mm, respectively. Data analysis revealed that the body motion compensation and organ motion compensation individually impacted the improvement in the accuracy of simulated guidance. Moreover, the difference in the accuracy of guidance either by body motion compensation or organ motion compensation was not statistically significant. The major clinical parameters impacting the accuracy of guidance were the body and organ motions. Patient age, types of anesthesia, depths of the target, and organ sites of target did not influence the accuracy of guidance using BMCPAD. The magnitude of body surface movement and organ movement exhibited mutual statistical correlation.
CONCLUSIONS: The BMCPAD demonstrated guidance accuracy comparable to that of previously reported devices for CT-guided procedures. The analysis using simulated motion compensation revealed that body motion compensation and organ motion compensation individually impact the improvement in the accuracy of device-guided cryotherapy probe alignment. Considering the correlation between body and organ movements, we also determined that body motion compensation using the ring fiducial markers in the BMCPAD can be solely used to address both body and organ motions in MRI-guided cryotherapy.
© 2020 American Association of Physicists in Medicine.

Entities:  

Keywords:  MRI-guided intervention; feasibility study; hepatic tumor; needle guidance; renal tumor

Mesh:

Year:  2020        PMID: 32141080      PMCID: PMC7889307          DOI: 10.1002/mp.14116

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  37 in total

1.  Shoulder-Mounted Robot for MRI-guided arthrography: Accuracy and mounting study.

Authors:  R Monfaredi; E Wilson; R Sze; K Sharma; B Azizi; I Iordachita; K Cleary
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2015-08

2.  A Hybrid Image Registration and Matching Framework for Real-Time Motion Tracking in MRI-Guided Radiotherapy.

Authors:  Matteo Seregni; Chiara Paganelli; Paul Summers; Massimo Bellomi; Guido Baroni; Marco Riboldi
Journal:  IEEE Trans Biomed Eng       Date:  2017-04-24       Impact factor: 4.538

3.  Accuracy and diagnostic yield of CT-guided stereotactic liver biopsy of primary and secondary liver tumors.

Authors:  Peter Schullian; Gerlig Widmann; Thomas Bob Lang; Martin Knoflach; Reto Bale
Journal:  Comput Aided Surg       Date:  2011-05-25

4.  Magnetic resonance imaging-guided versus surrogate-based motion tracking in liver radiation therapy: a prospective comparative study.

Authors:  Chiara Paganelli; Matteo Seregni; Giovanni Fattori; Paul Summers; Massimo Bellomi; Guido Baroni; Marco Riboldi
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-03-15       Impact factor: 7.038

5.  Computed-tomography-guided high-dose-rate brachytherapy (CT-HDRBT) ablation of metastases adjacent to the liver hilum.

Authors:  Federico Collettini; Anju Singh; Dirk Schnapauff; Maciej Janusz Powerski; Timm Denecke; Peter Wust; Bernd Hamm; Bernhard Gebauer
Journal:  Eur J Radiol       Date:  2013-06-21       Impact factor: 3.528

6.  Targeting accuracy of CT-guided stereotaxy for radiofrequency ablation of liver tumours.

Authors:  Gerlig Widmann; Peter Schullian; Marion Haidu; Martin Fasser; Reto Bale
Journal:  Minim Invasive Ther Allied Technol       Date:  2011-04-06       Impact factor: 2.442

7.  Midterm Safety and Efficacy of Irreversible Electroporation of Malignant Liver Tumors Located Close to Major Portal or Hepatic Veins.

Authors:  Martina Distelmaier; Alexandra Barabasch; Philipp Heil; Nils A Kraemer; Peter Isfort; Sebastian Keil; Christiane K Kuhl; Philipp Bruners
Journal:  Radiology       Date:  2017-08-11       Impact factor: 11.105

8.  Increased risk of tumor seeding after percutaneous radiofrequency ablation for single hepatocellular carcinoma.

Authors:  J M Llovet; R Vilana; C Brú; L Bianchi; J M Salmeron; L Boix; S Ganau; M Sala; M Pagès; C Ayuso; M Solé; J Rodés; J Bruix
Journal:  Hepatology       Date:  2001-05       Impact factor: 17.425

9.  Evaluation of automatic contour propagation in T2-weighted 4DMRI for normal-tissue motion assessment using internal organ-at-risk volume (IRV).

Authors:  Jingjing Zhang; Svetlana Markova; Alejandro Garcia; Kirk Huang; Xingyu Nie; Wookjin Choi; Wei Lu; Abraham Wu; Andreas Rimner; Guang Li
Journal:  J Appl Clin Med Phys       Date:  2018-08-15       Impact factor: 2.102

10.  Targeting Accuracy, Procedure Times and User Experience of 240 Experimental MRI Biopsies Guided by a Clinical Add-On Navigation System.

Authors:  Harald Busse; Tim Riedel; Nikita Garnov; Gregor Thörmer; Thomas Kahn; Michael Moche
Journal:  PLoS One       Date:  2015-07-29       Impact factor: 3.240

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