Abstract
Background
One of the challenges for clinical use of preoperative breast magnetic resonance imaging (MRI) is how to transfer prone MRI information to the operating theater with a supine surgical position. The aim of this study was to retrospectively evaluate tumor displacement in the breast by changing the patient position from prone to supine (prone-to-supine tumor displacement), using preoperative prone MRI and supine computed tomography (CT).
Methods
Preoperatively, 55 Japanese women with 57 breast cancer lesions underwent breast MRI in the prone position and breast CT in the supine position. Tumor positions in both the prone and supine positions were measured on X-, Y-, and Z-coordinates by fixing the nipple to the origin (0, 0, 0). As an indicator of the mobility of the breast, the ratio of the breast projection between the prone MRI and supine CT (prone-to-supine projection ratio) was calculated. The direction and distance of prone-to-supine tumor displacement was analyzed by dividing the breast into four quadrants according to the tumor position.
Results
When changing the patient position from prone to supine, tumors located in the inner-upper and inner-lower quadrants tended to move radially toward the center of the nipple. The movement distance of the tumors in the inner-lower and outer-lower quadrants was very strongly correlated with the prone-to-supine breast projection ratio (r ≥ 0.8, p < 0.05). Conversely, in the outer-upper quadrant, the direction of tumor displacement was variable, and the distance of tumor displacement did not correlate with the prone-to-supine projection ratio.
Conclusions
The present study showed that prone-to-supine tumor displacement in the breast differs depending on tumor location. The inner-lower quadrant of the breast may be the most predictable area for prone-to-supine tumor displacement.
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References
Deurloo EE, Peterse JL, Rutgers EJ, Besnard AP, Muller SH, Gilhuijs KG. Additional breast lesions in patients eligible for breast-conserving therapy by MRI: impact on preoperative management and potential benefit of computerised analysis. Eur J Cancer. 2005;41:1393–401.
Pediconi F, Catalano C, Padula S, Roselli A, Moriconi E, Dominelli V, et al. Contrast-enhanced magnetic resonance mammography: does it affect surgical decision-making in patients with breast cancer? Breast Cancer Res Treat. 2007;106:65–74.
Mann RM, Hoogeveen YL, Blickman JG, Boetes C. MRI compared to conventional diagnostic work-up in the detection and evaluation of invasive lobular carcinoma of the breast: a review of existing literature. Breast Cancer Res Treat. 2008;107:1–14.
Houssami N, Ciatto S, Macaskill P, Lord SJ, Warren RM, Dixon JM, et al. Accuracy and surgical impact of magnetic resonance imaging in breast cancer staging: systematic review and meta-analysis in detection of multifocal and multicentric cancer. J Clin Oncol. 2008;26:3248–58.
Houssami N, Hayes DF. Review of preoperative magnetic resonance imaging (MRI) in breast cancer: should MRI be performed on all women with newly diagnosed, early stage breast cancer? CA Cancer J Clin. 2009;59:290–302.
Plana MN, Carreira C, Muriel A, Chiva M, Abraira V, Emparanza JI, et al. Magnetic resonance imaging in the preoperative assessment of patients with primary breast cancer: systematic review of diagnostic accuracy and meta-analysis. Eur Radiol. 2012;22:26–38.
Turnbull L, Brown S, Harvey I, Olivier C, Drew P, Napp V, et al. Comparative effectiveness of MRI in breast cancer (COMICE) trial: a randomized controlled trial. Lancet. 2010;375:563–71.
Sardanelli F, Boetes C, Borisch B, Decker T, Federico M, Gilbert FJ, et al. Magnetic resonance imaging of the breast: recommendations from the EUSOMA working group. Eur J Cancer. 2010;46:1296–316.
Carbonaro LA, Tannaphai P, Trimboli RM, Verardi N, Fedeli MP, Sardanelli F. Contrast enhanced breast MRI: spatial displacement from prone to supine patient’s position. Preliminary results. Eur J Radiol. 2012;81(6):771–4.
Park VY, Kim MJ, Kim EK, Moon HJ. Second-look US: how to find breast lesions with a suspicious MR imaging appearance. Radiographics. 2013;33:1361–75.
Shih TC, Chen JH, Liu D, Nie K, Sun L, Lin M, et al. Computational simulation of breast compression based on segmented breast and fibroglandular tissues on magnetic resonance images. Phys Med Biol. 2010;55:4153–68.
Pathmanathan P, Gavaghan DJ, Whiteley JP, Chapman SJ, Brady JM. Predicting tumor location by modeling the deformation of the breast. IEEE Trans Biomed Eng. 2008;55:2471–80.
Kuhlmann M, Fear EC, Ramirez-Serrano A, Federico S. Mechanical model of the breast for the prediction of deformation during imaging. Med Eng Phys. 2013;35:470–8.
Hsu CM, Palmeri ML, Segars WP, Veress AI, Dobbins JT 3rd. An analysis of the mechanical parameters used for finite element compression of a high-resolution 3D breast phantom. Med Phys. 2011;38:5756–70.
Nipshagen MD, Beekman WH, Esmé DL, de Becker J. Anatomically shaped breast prosthesis in vivo: a change of dimension? Aesthetic Plast Surg. 2007;31:540–3.
Weum S, de Weerd L, Kristiansen B. Form stability of the style 410 anatomically shaped cohesive silicone gel-filled breast implant in subglandular breast augmentation evaluated with magnetic resonance imaging. Plast Reconstr Surg. 2011;127:409–13.
Klein Zeggelink WF, Deurloo EE, Muller SH, Schultze Kool LJ, Gilhuijs KG. Reproducibility of mammary gland structure during repeat setups in a supine position. Med Phys. 2002;29:2062–9.
Nishikawa K, Tozaki M, Fukuda K. Supine MR mammography with parallel imaging technique. Jpn J Magn Reson Med. 2004;24:34–9.
LaTrenta LR, Menell JH, Morris EA, Abramson AF, Dershaw DD, Liberman L. Breast lesions detected with MR imaging: utility and histopathologic importance of identification with US. Radiology. 2003;227(3):856–61.
Beran L, Liang W, Nims T, Paquelet J, Sickle-Santanello B. Correlation of targeted ultrasound with magnetic resonance imaging abnormalities of the breast. Am J Surg. 2005;190:592–4.
Meissnitzer M, Dershaw DD, Lee CH, Morris EA. Targeted ultrasound of the breast in women with abnormal MRI findings for whom biopsy has been recommended. AJR Am J Roentgenol. 2009;193:1025–9.
Abe H, Schmidt RA, Shah RN, et al. MR-directed (“second-look”) ultrasound examination for breast lesions detected initially on MRI: MR and sonographic findings. AJR Am J Roentgenol. 2010;194:370–7.
Kim TH, Kang DK, Jung YS, Kim KS, Yim H. Contralateral enhancing lesions on magnetic resonance imaging in patients with breast cancer: role of second look sonography and imaging findings of synchronous contralateral cancer. J Ultrasound Med. 2012;31:903–13.
Fausto A, Casella D, Mantovani L, Giacalone G, Volterrani L. Clinical value of second-look ultrasound: is there a way to make it objective? Eur J Radiol. 2012;81(Suppl 1):S36–40.
Siegler P, Holloway CM, Causer P, Thevathasan G, Plewes DB. Supine breast MRI. J Magn Reson Imaging. 2011;34:1212–7.
Yamashiro N, Tozaki M, Ogawa T, Kawano N, Suzuki T, Ozaki S, et al. Preoperative MRI marking technique for the planning of breast-conserving surgery. Breast Cancer. 2009;16:223–8.
Tozaki M, Fukuda K. Supine MR mammography using VIBE with parallel acquisition technique for the planning of breast-conserving surgery: clinical feasibility. Breast. 2006;15:137–40.
Nakano S, Kousaka J, Fujii K, Yorozuya K, Yoshida M, Mouri Y, et al. Impact of real-time virtual sonography, a coordinated sonography and MRI system that uses an image fusion technique, on the sonographic evaluation of MRI-detected lesions of the breast in second-look sonography. Breast Cancer Res Treat. 2012;134:1179–88.
Nakano S, Yoshida M, Fujii K, Yorozuya K, Kousaka J, Mouri Y, et al. Real-time virtual sonography, a coordinated sonography and MRI system that uses magnetic navigation, improves the sonographic identification of enhancing lesions on breast MRI. Ultrasound Med Biol. 2012;38:42–9.
Nakano S, Yoshida M, Fujii K, et al. Fusion of MRI and sonography image for breast cancer evaluation using real-time virtual sonography with magnetic navigation: first experience. Jpn J Clin Oncol. 2009;39:552–9.
Uematsu T. Real-time virtual sonography (RVS)-guided vacuum-assisted breast biopsy for lesions initially detected with breast MRI. Jpn J Radiol. 2013;31:826–31.
Conflict of interest
SN received a research grant from Toshiba Medical Systems and Daiichi Sankyo Company. HS, SI, and MK have no conflicts of interest.
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Satake, H., Ishigaki, S., Kitano, M. et al. Prediction of prone-to-supine tumor displacement in the breast using patient position change: investigation with prone MRI and supine CT. Breast Cancer 23, 149–158 (2016). https://doi.org/10.1007/s12282-014-0545-z
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DOI: https://doi.org/10.1007/s12282-014-0545-z