TRADITIONAL POSTER - ismrm

Poster Sessions
2478. Preliminary Results Using a Split Dynamic Time Series for DCE MR-Mammography
Kjell-Inge Gjesdal 1 , Endre Grøvik 2 , Atle Bjørnerud 3 , Kathinka Kurz Dæhli 4
1 Sunnmøre MR-klinikk, Aalesund, Norway; 2 University of Oslo, Oslo, Norway; 3 Rikshospitalet University Hospital, Oslo, Norway;
4 Stavanger University Hospital, Stavanger, Norway
This work presents the preliminary results of an ongoing MR-mammography study. In this study two dynamic sequences are run in an interleaved fashion
during contrast enhancement. By using this approach both high temporal and high spatial resolution images can be produced and analyzed for the evaluation
of breast cancer using one single dose of a Gd-based contrast agent. A comprehensive list of biomarkers is presented along with their statistical values.
2479. Can Diffusion Weighted Imaging/Apparent Diffusion Coefficient Mapping and Dynamic Contrast
Magnetic Resonance Imaging Provide Histological Phenotyping of Breast Cancer in Basal and Luminal
Subtypes?
Michael A. Jacobs 1 , Riham H. El Khouli 2 , Katarzyna J. Macura 1 , Sarah Mezban 1 , Ihab Kamel 1 , David A.
Bluemke 2
1 The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine,
Baltimore, MD, United States; 2 Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD, United
States
By using a combined DWI/ADC and DCE approach to investigate histological characteristics of breast cancer a better understanding of breast cancer
aggressiveness can be realized. Functional imaging such as DWI and DCE-MR is feasible and thus, combined DWI/ADC mapping, and DCE-MR provides
radiological biomarkers of molecular environment and could provide targets for image-guided biopsy of highly aggressive tumor regions.
2480. Principal Component Analysis of Breast DCE-MRI: Evaluation of Clinical Protocols at Two
Temporal Resolutions
Daria Badikhi 1 , Myra Shapiro-Feinberg 2 , Erez Eyal 3 , Edna Furman-Haran 4 , Dov Grobgeld 1 , Hadassa
Degani 1
1 Biological Regulation, Weizmann Institute of Science, Rehovot, Israel; 2 Radiology, Meir Medical Center, Kfar Sabah, Israel;
3 Biological Regulation, Weizmann Institute of Science, Israel; 4 Biological Services, Weizmann Institute of Science, Rehovot
Principal component analysis (PCA) of clinical breast DCE MRI datasets, recorded at two different temporal resolutions (80 s and 120 s), was tested and
evaluated for its diagnostic ability. We found that PCA can differentiate with high accuracy between benign and malignant lesions at both temporal
resolutions, however, discriminative ability between invasive ductal and lobular carcinoma can be reached only at the higher temporal resolution. Overall,
PCA was found to be a useful, standardized, fast, and objective tool for computer aided diagnosis of breast lesions
2481. Diffusion Weighted and Dynamic Contrast Enhanced MRI in Evaluation of Treatment Effects During
Neoadjuvant Chemotherapy in Breast Cancer Patients
Line R. Jensen 1 , Benjamin Garzon 1 , Mariann G. Heldahl 1 , Tone F. Bathen 1 , Pål E. Goa 1 , Steinar
Lundgren 1,2 , Ingrid S. Gribbestad 1
1 Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway;
2 Department of Oncology, St. Olavs University Hospital, Trondheim, Norway
The purpose of this study was to use MRI for early evaluation of treatment effects in breast cancer patients undergoing neoadjuvant chemotherapy, and to
identify MRI parameters at 3T that correlate to treatment response. In addition, the reproducibility of diffusion weighted MRI was assessed. The ADC values
from two baseline examinations showed good reproducibility, with ICC of 0.84. The best predictors of pathologic treatment response were the change in the
longest diameter measured on MRI, followed by mean and skewness of ADC, and Ktrans entropy.
2482. Assessing 3D Resolution of DCE-MRI for Optimization and Standardization of Breast Screening
Protocols
Marco Borri 1 , Maria Schmidt 1 , Erica Scurr 1 , Toni Wallace 1 , Steven Allen 1 , Nandita deSouza 1 , Martin O.
Leach 1
1 CR-UK and EPSRC Cancer Imaging Centre, Institute of Cancer Research and Royal Marsden Hospital, Sutton, Surrey, United
Kingdom
Spatial resolution of 3D fat-suppressed DCE pulse sequences depends on many parameters, and parity of protocols across breast screening centres is highly
desirable. The objective of this work was to propose methods for quality assurance in breast screening programmes. We compared the image quality
achieved with two different k-space sampling patterns, Radial and Linear, on a breast screening sequence. Resolution was evaluated with Test Objects and
on Clinical Data, and, considering all three directions, was superior for Linear. The Image Analysis methodologies used were found to be robust and
reproducible, and are therefore candidates to become quality assurance tools.
2483. Influence of Spatial Heterogeneity on the Diagnostic Accuracy of DCE-MRI in Breast Tumor
Characterization
Endre Grøvik 1 , Kjell-Inge Gjesdal 2 , Kathinka Kurz Dæhli 3 , Atle Bjørnerud 4
1 University of Oslo, Oslo, Norway; 2 Sunnmøre MR-klinikk, Aalesund, Norway; 3 Stavanger University Hospital, Stavanger, Norway;
4 Rikshospitalet University Hospital, Oslo, Norway
This study investigates the influence of spatial heterogeneity on the diagnostic accuracy of DCE-MRI in breast tumor characterization. This is done by
comparing the lesions VOI 50th-percentile versus VOI 95th-percentile values for a defined set of pharmacokinetic parameters, based on their ability for
differentiating between malignant and benign lesions. Our results suggest that a significant improvement in diagnostic accuracy can be obtained by
identifying the 5% region indicating the highest malignancy in the defined tumor VOI.