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Congress: ECR25
Poster Number: C-14271
Type: Poster: EPOS Radiologist (scientific)
Authorblock: M. R. López De La Torre Carretero, M. B. Barrio Piqueras, C. D. Solano, D. A. Zambrano, A. M. Delgado Brito, J. M. Rodríguez Ortega, C. Mbongo, A. Elizalde, L. J. Pina Insausti; Pamplona/ES
Disclosures:
Manuel Rafael López De La Torre Carretero: Nothing to disclose
Miguel Barrio Barrio Piqueras: Nothing to disclose
Carlos Delgado Solano: Nothing to disclose
Daniel Alfonso Zambrano: Nothing to disclose
Adolfo Manuel Delgado Brito: Nothing to disclose
José Marlon Rodríguez Ortega: Nothing to disclose
Carmen Mbongo: Nothing to disclose
Arlette Elizalde: Nothing to disclose
Luis Javier Pina Insausti: Nothing to disclose
Keywords: Breast, Oncology, Mammography, MR, Comparative studies, Screening, Staging, Cancer, Neoplasia, Outcomes
Methods and materials

Patient selection

Between September 2017 and November 2023, we conducted a retrospective and multitechnique approach, focused on confirmed breast cancer cases in patients who underwent both MRI and CEM. A comprehensive dataset was compiled, including patient age, breast density pattern, CEM and MRI results, histological characterization and size of each lesion, and any additional lesions discovered during the examinations.

Image evaluation

Two radiologists retrospectively reevaluated all images in both techniques.

Breast density was assessed using ACR criteria and background parenchymal enhancement (BPE) was established by the BI-RADS statements. Suspicious lesions detected in CEM and MRI were classified according to the Breast Imaging Reporting and Data System (BI-RADS) scale, with BI-RADS 1-2 as benign and BI-RADS 3-5 as malignant. Malignant lesions were categorized as unifocal, multifocal, multicentric, or bilateral. Also, the maximum diameter of each lesion was collected in both techniques.

Fig 6: Patient Selection and Image Evaluation © Department of Radiology, Clínica Universidad de Navarra, Pamplona/ Spain 2024

Image Acquisition

CEM was used as a problem-solving technique, complementing DM, digital breast tomosynthesis (DBT), and US. Breast MRI was performed after histological malignancy confirmation. In cases of neoadjuvant chemotherapy, another preoperative MRI was performed to evaluate the tumor response.

Fig 7: Image Acquisition and Diagnostic Algorythm in our Center © Department of Radiology, Clínica Universidad de Navarra, Pamplona/ Spain 2024

MRI studies were performed on a 1.5-Tesla MR system in the prone position, with no breast compression, and using a dedicated four-channel breast coil. Our MRI protocol included the following sequences and parameters: an axial STIR-T2 weighted sequence, an axial diffusion-weighted imaging (DWI) sequence and a dynamic acquisition three-dimensional (3D) axial sequence after the administration of 0.1 mmol/kg of Gadolinium.

All CEM examinations started with an intravenous injection of 1.5 mL/kg of iodinated contrast agent, using an automated rate of 3mL/s followed by a saline flush of 25 mL. At the time of injection, the breast was not compressed to allow for normal tissue perfusion. After a waiting time of 2 min, the breast was compressed and low (28 and 32kV) and high energy (49kV) images were acquired. Recombined subtraction images were formed, highlighting areas of iodine uptake and canceling signal from normal background parenchymal enhancement.

Fig 8: Image Acquisition Protocols © Department of Radiology, Clínica Universidad de Navarra, Pamplona/ Spain 2024

Statistical Analysis

We regarded the pathological anatomy results (both biopsy and surgical specimens) as the gold standard, inclusive of benign findings.

Statistical comparisons were performed using the Wilcoxon test, the McNemar test, the paired T-test, and the Mann-Whitney test. Reliability was evaluated using the intraclass correlation coefficient (ICC). Receiver operating characteristic (ROC) curves were used to quantify the ability to distinguish tumor malignancy. Box plots were used to study the discrepancies between the different lesion size measurements. We considered two-sided p values <0.05 as significant. 

GALLERY