Supine Breast MRI and 3D Optical Scanning: A Novel Approach to Improve Tumor Localization for Breast Conserving Surgery
Wire localization for excision of nonpalpable breast cancer is an inefficient and inexact technique.
A total of 18 women with palpable invasive breast cancers underwent preoperative prone and supine magnetic resonance imaging (MRI). Intraoperatively, the edges of the tumor were palpated and marked on the skin surface. The breast was optically scanned, and the supine MRI was adjusted to match the actual breast position at the time of surgery. Image-defined tumor edges were marked on the surface of the breast. The main outcome measure was the distance between the image-defined and palpation-defined edges of the tumor.
No significant difference was found between the mean maximal tumor diameter as measured by histopathology (29.6 ± 14.3 mm), supine MRI (25.3 ± 9.7 mm), prone MRI (27.6 ± 13 mm), or palpation (30.5 ± 9.3 mm). The distance from the tumor to the chest wall was markedly different in prone versus supine MRI (56.4 ± 38 vs 19.5 ± 20 mm, p = .002). The average distance between the palpated and supine MRI image-defined tumor edge locations was 7.2 mm (range, 0–19 mm). Accuracy improved over time; the average difference in edge locations in the last 7 patients was 4.0 mm. All 4 image-defined edge locations in the last 5 patients were ≤1 cm away from the palpated locations.
We have developed a method of breast tumor localization using preoperative supine MRI and intraoperative optical scanning that defines tumor size and position as accurately as palpation.
- 17.Germano I. Advanced techniques in image-guided brain and spine surgery. New York: Thieme; 2002.Google Scholar
- 19.Hill DLG and Batchelor P. Registration methodology: concepts and algorithms. In: Hajnal JV, Hawkes DJ, and Hill DLG, eds. Medical image registration. 1st ed. Boca Raton, FL: CRC Press; 2001:48.Google Scholar
- 20.Sorkine O. Least-squares rigid motion using SVD. Technical notes. 2009.Google Scholar
- 21.McAuliffe MJ, Lalonde FM, McGarry D, Gandler W, Csaky K, Trus BL. Medical image processing, analysis and visualization in clinical research. In: Computer-based medical systems. 14th IEEE symposium (Bethesda, MD). 2001:381–6.Google Scholar