| Autor: |
Otikovs, Martins, Nissan, Noam, Furman‐Haran, Edna, Anaby, Debbie, Allweis, Tanir M., Agassi, Ravit, Sklair‐Levy, Miri, Frydman, Lucio |
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| Zdroj: |
Journal of Magnetic Resonance Imaging; Jun2021, Vol. 53 Issue 6, p1913-1925, 13p |
| Abstrakt: |
Diffusion‐weighted imaging (DWI) can improve breast cancer characterizations, but often suffers from low image quality –particularly at informative b > 1000 s/mm2 values. The aim of this study was to evaluate multishot approaches characterizing Gaussian and non‐Gaussian diffusivities in breast cancer. This was a prospective study, in which 15 subjects, including 13 patients with biopsy‐confirmed breast cancers, were enrolled. DWI was acquired at 3 T using echo planar imaging (EPI) with and without zoomed excitations, readout‐segmented EPI (RESOLVE), and spatiotemporal encoding (SPEN); dynamic contrast‐enhanced (DCE) data were collected using three‐dimensional gradient‐echo T1 weighting; anatomies were evaluated with T2‐weighted two‐dimensional turbo spin‐echo. Congruence between malignancies delineated by DCE was assessed against high‐resolution DWI scans with b‐values in the 0–1800 s/mm2 range, as well as against apparent diffusion coefficient (ADC) and kurtosis maps. Data were evaluated by independent magnetic resonance scientists with 3–20 years of experience, and radiologists with 6 and 20 years of experience in breast MRI. Malignancies were assessed from ADC and kurtosis maps, using paired t tests after confirming that these values had a Gaussian distribution. Agreements between DWI and DCE datasets were also evaluated using Sorensen–Dice similarity coefficients. Cancerous and normal tissues were clearly separable by ADCs: by SPEN their average values were (1.03 ± 0.17) × 10−3 and (1.69 ± 0.19) × 10−3 mm2/s (p < 0.0001); by RESOLVE these values were (1.16 ± 0.16) × 10−3 and (1.52 ± 0.14) × 10−3 (p = 0.00026). Kurtosis also distinguished lesions (K = 0.64 ± 0.15) from normal tissues (K = 0.45 ± 0.05), but only when measured by SPEN (p = 0.0008). The best statistical agreement with DCE‐highlighted regions arose for SPEN‐based DWIs recorded with b = 1800 s/mm2 (Sorensen–Dice coefficient = 0.67); DWI data recorded with b = 850 and 1200 s/mm2, led to lower coefficients. Both ADC and kurtosis maps highlighted the breast malignancies, with ADCs providing a more significant separation. The most promising alternative for contrast‐free delineations of the cancerous lesions arose from b = 1800 s/mm2 DWI. Level of Evidence: 2. Technical Efficacy Stage: 3. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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