Combining b2500 diffusion-weighted imaging with BI-RADS improves the specificity of breast MRI - 26/08/23
, Constance de Margerie Mellon a, b, Margaux Scholer a, Zoe Jolibois a, Alto Stemmer c, Elisabeth Weiland c, Cedric de Bazelaire a, b
Bienvenue sur EM-consulte, la référence des professionnels de santé.
Article gratuit.
Connectez-vous pour en bénéficier!
Highlights |
• | Visual assessment of b2500 diffusion-weighted images of a breast lesion detected on contrast-enhanced images has substantial interobserver agreement, regardless of the readers’ experience (Fleiss kappa = 0.77). |
• | Focal hypersignal of a breast lesion compared to surrounding parenchyma on b2500 diffusion-weighted images yields better performance for cancer detection than apparent diffusion coefficient using a threshold of 1 × 10−3 mm2/s. |
• | Adding visual assessment of b2500 iffusion-weighted image to BI-RADS classification obtained with conventional breast MRI protocol significantly improves the specificity for lesion classification and decreases the false-positive rate compared to BI-RADS alone. |
Abstract |
Purpose |
The purpose of this study was to evaluate the diagnostic performance of visual assessment of diffusion-weighted images (DWI) obtained with a b value of 2500 s/mm2 in addition to a conventional magnetic resonance imaging (MRI) protocol to characterize breast lesions.
Materials and methods |
This single-institution retrospective study included participants who underwent clinically indicated breast MRI and breast biopsy from May 2017 to February 2020. The examination included a conventional MRI protocol including DWI obtained with a b value of 50 s/mm2 (b50DWI) and a b value of 800 s/mm2 (b800DWI) and DWI obtained with a b value of 2500 s/mm2 (b2500DWI). Lesions were classified using Breast Imaging Reporting and Data Systems (BI-RADS) categories. Three independent radiologists assessed qualitatively the signal intensity within the breast lesions relative to breast parenchyma on b2500DW and b800DWI and measured the b50-b800-derived apparent diffusion coefficient (ADC) value. The diagnostic performances of BI-RADS, b2500DWI, b800DWI, ADC and of a model combining b2500DWI and BI-RADS were evaluated using receiver operating characteristic (ROC) curves analysis.
Results |
A total of 260 patients with 212 malignant and 100 benign breast lesions were included. There were 259 women and one man with a median age of 53 years (Q1, Q3: 48, 66 years). b2500DWI was assessable in 97% of the lesions. Interobserver agreement for b2500DWI was substantial (Fleiss kappa = 0.77). b2500DWI yielded larger area under the ROC curve (AUC, 0.81) than ADC with a 1 × 10−3 mm2/s threshold (AUC, 0.58; P = 0.005) and than b800DWI (AUC, 0.57; P = 0.02). The AUC of the model combining b2500DWI and BI-RADS was 0.84 (95% CI: 0.79–0.88). Adding b2500DWI to BI-RADS resulted in a significant increase in specificity from 25% (95% CI: 17–35) to 73% (95% CI: 63–81) (P < 0.001) with a decrease in sensitivity from 100% (95% CI: 97–100) to 94% (95% CI: 90–97), (P < 0.001).
Conclusion |
Visual assessment of b2500DWI has substantial interobserver agreement. Visual assessment of b2500DWI offers better diagnostic performance than ADC and b800DWI. Adding visual assessment of b2500DWI to BI-RADS improves the specificity of breast MRI and could avoid unnecessary biopsies.
Le texte complet de cet article est disponible en PDF.Keywords : BI-RADS, Breast MRI, Diffusion imaging, High b value, Specificity
Abbreviations : 3D, ADC, AUC, BI-RADS, DWI, EPI, FN, FP, MRI, RESOLVE, ROC, SPAIR, TE, TN, TP, TR, VA, VIBE
Plan
Vol 104 - N° 9
P. 410-418 - septembre 2023 Retour au numéro
Article précédent
- Improved detection of juxtacortical lesions using highly accelerated double inversion-recovery MRI in patients with multiple sclerosis
- Morgane Lespagnol, Aurélien Massire, Imen Megdiche, Fabien Lespagnol, Pierre Brugières, Alain Créange, Alto Stemmer, Blanche Bapst
- Value of aortic volumes assessed by automated segmentation of 3D MRI data in patients with thoracic aortic dilatation: A case-control study
- Thomas Dietenbeck, Kevin Bouaou, Sophia Houriez-Gombaud-Saintonge, Jia Guo, Umit Gencer, Etienne Charpentier, Alain Giron, Alain De Cesare, Vincent Nguyen, Antonio Gallo, Samia Boussouar, Nicoletta Pasi, Gilles Soulat, Alban Redheuil, Elie Mousseaux, Nadjia Kachenoura
Bienvenue sur EM-consulte, la référence des professionnels de santé.