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Quantitative Assessment of Restriction Spectrum MR Imaging for the Diagnosis of Breast Cancer and Association With Prognostic Factors. | LitMetric

AI Article Synopsis

  • Restriction spectrum imaging (RSI) is a specialized MRI technique that analyzes breast lesions, aiming to differentiate between benign and malignant cases through diffusion-weighted imaging.
  • The study included 70 women assessed for 56 malignant and 19 benign breast lesions, using advanced imaging at a 3-T field strength with echo-planar techniques.
  • Results indicated that malignant lesions had lower apparent diffusion coefficient (ADC) and restricted diffusion (f) values, while presenting higher hindered (f) and free diffusion (f) values compared to benign lesions, leading to a combined diagnostic performance (AUC = 0.973) that outperformed single parameter evaluations.

Article Abstract

Background: Restriction spectrum imaging (RSI) is an advanced quantitative diffusion-weighted magnetic resonance imaging (DWI) technique to assess breast cancer.

Purpose: To investigate the ability of RSI to differentiate the benign and malignant breast lesions and the association with prognostic factors of breast cancer.

Study Type: Retrospective.

Population: Seventy women (mean age, 49.6 ± 12.3 years) with 56 malignant and 19 benign breast lesions.

Field Strength/sequence: 3-T; RSI-based DWI sequence with echo-planar imaging technique.

Assessment: The apparent diffusion coefficient (ADC) and RSI parameters (restricted diffusion f , hindered diffusion f , free diffusion f , and signal fractions f f ) were calculated by two readers for the whole lesion volume and compared between the benign and malignant groups and the subgroups with different statuses of prognostic factors in breast cancer.

Statistical Tests: Mann-Whitney U test or Student's t-test was applied to compare the quantitative parameters between the different groups. Intraclass correlation coefficient (ICC) was used to assess readers' reproducibility. Binary logistic regression was used to combine parameters. Area under the curve (AUC) of receiver operating characteristic curve analysis was used to evaluate the diagnostic performance of parameters to distinguish benign from malignant breast lesions. A P-value <0.05 was considered statistically significant.

Results: Malignant breast lesions showed significantly lower ADC and f values, and significantly higher f and f f values than the benign lesions, with AUC of 0.951, 0.877, 0.868, and 0.860, respectively. When RSI-derived parameters and ADC were combined, the diagnostic performance was superior to either single parameter (AUC = 0.973). The f value was significantly differed between estrogen receptor (ER)-positive and ER-negative tumors. The ADC, f , f , and f f values were significantly different progesterone receptor (PR)-positive and PR-negative status.

Data Conclusion: The RSI-derived parameters (f , f , and f f ) may facilitate the differential diagnosis between benign and malignant breast lesions.

Level Of Evidence: 4 TECHNICAL EFFICACY: Stage 2.

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Source
http://dx.doi.org/10.1002/jmri.28468DOI Listing

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