Feasibility of Quantitative MRI Using 3D‐QALAS for Discriminating Immunohistochemical Status in Invasive Ductal Carcinoma of the Breast

Author:

Amano Maki12ORCID,Fujita Shohei13,Takei Naoyuki4,Sano Katsuhiro1ORCID,Wada Akihiko1,Sato Kanako1,Kikuta Junko1,Kuwatsuru Yoshiki1,Tachibana Rina15,Sekine Towa15,Horimoto Yoshiya6,Aoki Shigeki1ORCID

Affiliation:

1. Department of Radiology Juntendo University Hospital Tokyo Japan

2. Department of Radiology Nihon University Hospital Tokyo Japan

3. Department of Radiology, Graduate School of Medicine University of Tokyo Tokyo Japan

4. GE HealthCare Tokyo Japan

5. Department of Radiological Sciences, Graduate School of Human Health Sciences Tokyo Metropolitan University Tokyo Japan

6. Department of Breast Oncology Juntendo University Hospital Tokyo Japan

Abstract

BackgroundTwo‐dimensional synthetic MRI of the breast has limited spatial coverage. Three‐dimensional (3D) synthetic MRI could provide volumetric quantitative parameters that may reflect the immunohistochemical (IHC) status in invasive ductal carcinoma (IDC) of the breast.PurposeTo evaluate the feasibility of 3D synthetic MRI using an interleaved Look–Locker acquisition sequence with a T2 preparation pulse (QALAS) for discriminating the IHC status, including hormone receptor (HR), human epidermal growth factor receptor 2 (HER 2), and Ki‐67 expression in IDC.Study TypeProspective observational study.PopulationA total of 33 females with IDC of the breast (mean, 52.3 years).Field Strength/SequenceA 3‐T, 3D‐QALAS gradient‐echo and fat‐suppressed T1‐weighted 3D fast spoiled gradient‐echo sequences.AssessmentTwo radiologists semiautomatically delineated 3D regions of interest (ROIs) of the whole tumors on the dynamic MRI that was registered to the synthetic T1‐weighted images acquired from 3D‐QALAS. The mean T1 and T2 were measured for each IDC.Statistical TestsIntraclass correlation coefficient for assessing interobserver agreement. Mann–Whitney U test to determine the relationship between the mean T1 or T2 and the IHC status. Multivariate logistic regression analysis followed by receiver operating characteristics (ROC) analysis for discriminating IHC status. A P value <0.05 was considered statistically significant.ResultsThe interobserver agreement was good to excellent. There was a significant difference in the mean T1 between HR‐positive and HR‐negative lesions, while the mean T2 value differed between HR‐positive and HR‐negative lesions, between the triple‐negative and HR‐positive or HER2‐positive lesions, and between the Ki‐67 level > 14% and ≤ 14%. Multivariate analysis showed that the mean T2 was higher in HR‐negative IDC than in HR‐positive IDC. ROC analysis revealed that the mean T2 was predictive for discriminating HR status, triple‐negative status, and Ki‐67 level.Data Conclusion3D synthetic MRI using QALAS may be useful for discriminating IHC status in IDC of the breast.Evidence Level1.Technical EfficacyStage 2.

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

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