Ulrich Katscher1, Mussa Gagiyev1, Naoko Mori2, Keiko Tsuchiya3, Jochen Keupp1, and Hiroyuki Abe4
1Philips Research Europe, Hamburg, Germany, 2Tohoku University, Sendai, Japan, 3Shiga University, Hikone, Japan, 4University of Chicago, IL, United States
Synopsis
In ex vivo studies, breast tumors exhibit a significantly altered
electric conductivity, measurable in vivo
using “Electric Properties Tomography”. A significant conductivity difference
was reported between benign and malignant breast tumors and between invasive and
in situ carcinomas. This study tested a correlation between conductivity and WHO
grade of invasive ductal carcinomas (IDCs) and benign fibroadenomas. A clear
conductivity difference was found between IDC grade 1 and grade 2, as well as between
IDC grade 1 and grade 3. No clear difference was found between fibroadenoma and
IDC grade 1, as well as between IDC grade 2 and grade 3.
Purpose
According to ex vivo studies, breast tumors exhibit a
significantly altered electric conductivity [1,2], which can be measured
non-invasively in vivo using
“Electric Properties Tomography” (EPT) [3]. A statistically significant conductivity
difference has been reported between benign and malignant breast tumors as well
as between invasive and in situ carcinomas [4,5]. This study is testing a
correlation between conductivity and WHO grade of invasive ductal carcinomas
(IDCs), as well as benign fibroadenomas (FAs). To this goal, tumor tissue
boundary information of two different MR image types (contrast enhanced images
and T2-weighted images) are combined as a
priori information to stabilize EPT reconstruction.Theory / Methods
Given the transceive phase φ of a 3D turbo spin echo (TSE)
image, EPT estimates tissue conductivity via σ = (Δφ)/(2μ0ω) with the Laplace operator Δ, magnetic permeability μ0 (assumed to be
constant), and Larmor frequency ω [3]. Conductivity reconstruction
was performed only inside lesion volumes, which have been semi-automatically
segmented from pre/post-contrast subtraction images. To avoid artefacts along
lesion boundaries, the numerical kernels of Δ and the subsequent
median filter [4] were restricted to tissue boundaries extracted via a Canny
edge detector from both, the subtraction image as well as the TSE magnitude
image. – 25 patients (with 29 lesions in total) were imaged on a 3T system
(Philips Achieva TX, Best, Netherlands) with a 16 channel breast coil using a
3D TSE sequence (TR/TE=2000/210 ms, voxel
size=0.7×0.7×0.8 mm³). Pathologically proven, 5 lesions were classified
as IDC grade 1, 7 lesions were classified as IDC grade 2, 12 lesions were
classified as IDC grade 3, and 5 lesions were classified as FA.Results
For an exemplary case (IDC grade 2), Fig. 1 shows the TSE magnitude and the subtraction
image as well as the corresponding boundaries. The conductivity reconstructed
inside the lesion shows a heterogeneous substructure according to these
boundaries. Two box-whisker plots (median/upper+lower quartile/upper+lower
extreme) are given in Fig. 2. The first plot compares all four different lesion
types investigated. Fibroadenoma and IDC of grade 1 show comparable conductivity
around or below 0.5 S/m. On the other hand, IDC of grade 2 and 3 show
comparable conductivity around or above 1.0 S/m. The second plot compares the
correspondingly combined groups of low and high malignancy, yielding an AUC of
the ROC of 83.7% (p=0.001 based on
Welch's t-test).Discussion / Conclusion
This study reveals a
statistically significant difference between tumors of lower and higher
malignancy. This difference might arise from different sodium concentration in
benign and malignant lesions [6], since sodium concentration was reported as
potential major determinant of electric tissue conductivity [7]. A trend
towards higher conductivity of IDCs grade 3 in comparison with IDCs grade 2 is
visible, but not with statistical significance, at least with the current,
limited number of patients.Acknowledgements
No acknowledgement found.References
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