Literature DB >> 20632573

On the feasibility of MRI-guided navigation to demarcate breast cancer for breast-conserving surgery.

Tanja Alderliesten1, Claudette Loo, Anita Paape, Sara Muller, Emiel Rutgers, Marie-Jeanne Vrancken Peeters, Kenneth Gilhuijs.   

Abstract

PURPOSE: The aim of this study was to investigate the feasibility of image-guided navigation approaches to demarcate breast cancer on the basis of preacquired magnetic resonance (MR) imaging in supine patient orientation.
METHODS: Strategies were examined to minimize the uncertainty in the instrument-tip position, based on the hypothesis that the release of instrument pressure returns the breast tissue to its predeformed state. For this purpose, four sources of uncertainty were taken into account: (1) U(ligaments): Uncertainty in the reproducibility of the internal mammary gland geometry during repeat patient setup in supine orientation; (2) U(r_breathing): Residual uncertainty in registration of the breast after compensation for breathing motion using an external marker; (3) U(reconstruction): Uncertainty in the reconstructed location of the tip of the needle using an optical image-navigation system (phantom experiments, n = 50); and (4) U(deformation): Uncertainty in displacement of breast tumors due to needle-induced tissue deformations (patients, n = 21). A Monte Carlo study was performed to establish the 95% confidence interval (CI) of the combined uncertainties. This region of uncertainty was subsequently visualized around the reconstructed needle tip as an additional navigational aid in the preacquired MR images. Validation of the system was performed in five healthy volunteers (localization of skin markers only) and in two patients. In the patients, the navigation system was used to monitor ultrasound-guided radioactive seed localization of breast cancer. Nearest distances between the needle tip and the tumor boundary in the ultrasound images were compared to those in the concurrently reconstructed MR images.
RESULTS: Both U(reconstruction) and U(deformation) were normally distributed with 0.1 +/- 1.2 mm (mean +/- 1 SD) and 0.1 +/- 0.8 mm, respectively. Taking prior estimates for U(ligaments) (0.0 +/- 1.5 mm) and U(r_breathing) (-0.1 +/- 0.6 mm) into account, the combined impact resulted in 3.9 mm uncertainty in the position of the needle tip (95% CI) after release of pressure. The volunteer study showed a targeting accuracy comparable to that in the phantom experiments: 2.9 +/- 1.3 versus 2.7 +/- 1.1 mm, respectively. In the patient feasibility study, the deviations were within the 3.9 mm CI.
CONCLUSIONS: Image-guided navigation to demarcate breast cancer on the basis of preacquired MR images in supine orientation appears feasible if patient breathing is tracked during the navigation procedure, positional uncertainty is visualized and pressure on the localization instrument is released prior to verification of its position.

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Year:  2010        PMID: 20632573     DOI: 10.1118/1.3429048

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


  7 in total

1.  Toward quantitative quasistatic elastography with a gravity-induced deformation source for image-guided breast surgery.

Authors:  Rebekah H Griesenauer; Jared A Weis; Lori R Arlinghaus; Ingrid M Meszoely; Michael I Miga
Journal:  J Med Imaging (Bellingham)       Date:  2018-02-08

2.  Realization of a biomechanical model-assisted image guidance system for breast cancer surgery using supine MRI.

Authors:  Rebekah H Conley; Ingrid M Meszoely; Jared A Weis; Thomas S Pheiffer; Lori R Arlinghaus; Thomas E Yankeelov; Michael I Miga
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-06-20       Impact factor: 2.924

3.  Impact of deformation on a supine-positioned image-guided breast surgery approach.

Authors:  Winona L Richey; Jon S Heiselman; Ma Luo; Ingrid M Meszoely; Michael I Miga
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-08-12       Impact factor: 3.421

4.  Breast image registration for surgery: Insights on material mechanics modeling.

Authors:  Morgan J Ringel; Winona L Richey; Jon Heiselman; Ma Luo; Ingrid M Meszoely; Michael I Miga
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2022-04-04

Review 5.  Efficacy of Second-Look Ultrasound with MR Coregistration for Evaluating Additional Enhancing Lesions of the Breast: Review of the Literature.

Authors:  Maria Antonietta Mazzei; Letizia Di Giacomo; Alfonso Fausto; Francesco Gentili; Francesco Giuseppe Mazzei; Luca Volterrani
Journal:  Biomed Res Int       Date:  2018-10-21       Impact factor: 3.411

6.  Symmetric Biomechanically Guided Prone-to-Supine Breast Image Registration.

Authors:  Björn Eiben; Vasileios Vavourakis; John H Hipwell; Sven Kabus; Thomas Buelow; Cristian Lorenz; Thomy Mertzanidou; Sara Reis; Norman R Williams; Mohammed Keshtgar; David J Hawkes
Journal:  Ann Biomed Eng       Date:  2015-11-17       Impact factor: 3.934

7.  MRI and CT imaging for preoperative target volume delineation in breast-conserving therapy.

Authors:  Mariska D den Hartogh; Marielle E P Philippens; Iris E van Dam; Catharina E Kleynen; Robbert J H A Tersteeg; Ruud M Pijnappel; Alexis N T J Kotte; Helena M Verkooijen; Maurice A A J van den Bosch; Marco van Vulpen; Bram van Asselen; Hjg Desirée van den Bongard
Journal:  Radiat Oncol       Date:  2014-02-26       Impact factor: 3.481

  7 in total

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