Edna Furman-Haran

Magnetic resonance imaging reveals functional diversity of the vasculature in benign and malignant breast lesions

Tumor perfusion through the microvascular network can be imaged noninvasively by dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI). The objective of the current study was to quantify the microvascular perfusion parameters in various human breast lesions and to determine whether they varied between benign lesions and malignancy and whether they were altered with increased invasiveness.

Noninvasive Magnetic Resonance Imaging of Transport and Interstitial Fluid Pressure in Ectopic Human Lung Tumors

Tumor response to blood borne drugs is critically dependent on the efficiency of vascular delivery and transcapillary transfer. However, increased tumor interstitial fluid pressure (IFP) forms a barrier to transcapillary transfer, leading to resistance to drug delivery. We present here a new, noninvasive method which estimates IFP and its spatial distribution in vivo using contrast-enhanced magnetic resonance imaging (MRI). This method was tested in ectopic human non-small-cell lung cancer which exhibited a high IFP of approximately 28 mm Hg and, for comparison, in orthotopic MCF7 human breast tumors which exhibited a lower IFP of approximately 14 mm Hg, both implanted in nude mice. The MRI protocol consisted of slow infusion of the contrast agent [gadolinium-diethylenetriaminepentaacetic acid (GdDTPA)] into the blood for approximately 2 hours, sequential acquisition of images before and during the infusion, and measurements of T1 relaxation rates before infusion and after blood and tumor GdDTPA concentration reached a steady state. Image analysis yielded parametric images of steady-state tissue GdDTPA concentration with high values of this concentration outside the tumor boundaries, approximately 1 mmol/L, declining in the tumor periphery to approximately 0.5 mmol/L, and then steeply decreasing to low or null values. The distribution of steady-state tissue GdDTPA concentration reflected the distribution of IFP, showing an increase from the rim inward, with a high IFP plateau inside the tumor. The changes outside the borders of the tumors with high IFP were indicative of convective transport through the interstitium. This work presents a noninvasive method for assessing the spatial distribution of tumor IFP and mapping barriers to drug delivery and transport.

Parametric diffusion tensor imaging of the breast

Objectives:To investigate the ability of parametric diffusion tensor imaging (DTI), applied at 3 Tesla, to dissect breast tissue architecture and evaluate breast lesions. Materials and Methods:All protocols were approved and a signed informed consent was obtained from all subjects. The study included 21 healthy women, 26 women with 33 malignant lesions, and 14 women with 20 benign lesions. Images were recorded at 3 Tesla with a protocol optimized for breast DTI at a spatial resolution of 1.9 × 1.9 × (2–2.5) mm3. Image processing algorithms and software, applied at pixel resolution, yielded vector maps of prime diffusion direction and parametric maps of the 3 orthogonal diffusion coefficients and of the fractional anisotropy and maximal anisotropy. Results:The DTI-derived vector maps and parametric maps revealed the architecture of the entire mammary fibroglandular tissue and allowed a reliable detection of malignant lesions. Cancer lesions exhibited significantly lower values of the orthogonal diffusion coefficients, &lgr;1, &lgr;2, &lgr;3, and of the maximal anisotropy index &lgr;1-&lgr;3 as compared with normal breast tissue (P < 0.0001) and to benign breast lesions (P < 0.0009 and 0.004, respectively). Maps of &lgr;1 exhibited the highest contrast-to-noise ratio enabling delineation of the cancer lesions. These maps also provided high sensitivity/specificity of 95.6%/97.7% for differentiating cancers from benign lesions, which were similar to the sensitivity/specificity of dynamic contrast-enhanced magnetic resonance imaging of 94.8%/92.9%. Maps of &lgr;1-&lgr;3 provided a secondary independent diagnostic parameter with high sensitivity of 92.3%, but low specificity of 69.5% for differentiating cancers from benign lesions. Conclusion:Mapping the diffusion tensor parameters at high spatial resolution provides a potential novel means for dissecting breast architecture. Parametric maps of &lgr;1 and &lgr;1-&lgr;3 facilitate the detection and diagnosis of breast cancer.

Critical role of spatial resolution in dynamic contrast-enhanced breast MRI†

The spatial resolution of three‐dimensional (3D) gradient‐echo T1‐weighted images, from 40 women with 25 malignant and 23 benign lesions, was purposely degraded to determine the role of spatial resolution in recording, analysis, and diagnosis of dynamic contrast‐enhanced breast MRI. Images were recorded and analyzed at pixel resolution according to the 3TP method (Degani et al., Nat Med 1997;3:780–782). Reduction in spatial resolution degraded the appearance of foci with fast wash‐in and fast washout dynamics. This resulted in an increase in false‐negative diagnoses. The sensitivity for differentiating between malignant and benign lesions, using threshold criteria defined by the 3TP analysis, of 76% decreased to 60% and 24% for a 2‐ and 4‐fold reduction in spatial resolution, respectively, without affecting significantly the high specificity (96–100%). In order to minimize false‐negative diagnoses of contrast‐enhanced breast MRI and maintain high specificity, it is essential to record and analyze the dynamic behavior at high spatial resolution. J. Magn. Reson. Imaging 2001;13:862–867.

Parametric analysis of breast MRI.

Parametric analysis of breast MRI provides unique mapping of pathophysiological characteristics that cannot be obtained by standard conventional MRI. We describe in this review methods based on intrinsic contrast and tissue elasticity as well as methods that use external paramagnetic contrast agents and follow the time evolution of contrast. Processing of the raw data, frequently with new mathematical models and algorithms, yielded calculated parametric images that may help improve the noninvasive detection and diagnosis of breast cancer.

Principal component analysis of breast DCE-MRI adjusted with a model-based method

To investigate a fast, objective, and standardized method for analyzing breast dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) applying principal component analysis (PCA) adjusted with a model‐based method.

Diffusion-Tensor MR Imaging of the Breast: Hormonal Regulation

PURPOSE To investigate the parameters obtained with magnetic resonance (MR) diffusion-tensor imaging (DTI) of the breast throughout the menstrual cycle phases, during lactation, and after menopause, with and without hormone replacement therapy (HRT). MATERIALS AND METHODS All protocols were approved by the internal review board, and signed informed consent was obtained from all participants. Forty-five healthy volunteers underwent imaging by using T2-weighted and DTI MR sequences at 3 T. Premenopausal volunteers (n = 16) underwent imaging weekly, four times during one menstrual cycle. Postmenopausal volunteers (n = 19) and lactating volunteers (n = 10) underwent imaging once. The principal diffusion coefficients (λ1, λ2, and λ3), apparent diffusion coefficient (ADC), fractional anisotropy (FA), and maximal anisotropy (λ1-λ3) were calculated pixel by pixel for the fibroglandular tissue in the entire breast. RESULTS In all premenopausal volunteers, the DTI parameters exhibited high repeatability, remaining almost equal along the menstrual cycle, with a low mean within-subject coefficient of variance of λ1, λ2, λ3, and ADC (1%-2% for all) and FA (5%), as well as a high intraclass correlation of 0.92-0.98. The diffusion coefficients were significantly lower (a) in the group without HRT use as compared with the group with HRT use (P < .01) and premenopausal volunteers (P < .01) and (b) in the lactating volunteers as compared with the premenopausal volunteers (P < .005). No significant differences in DTI parameters were found between premenopausal volunteers free of oral contraceptives and those who used oral contraceptives (P = .28-0.82) and between premenopausal volunteers and postmenopausal volunteers who used HRT (P = .31-0.93). CONCLUSION DTI parameters are not sensitive to menstrual cycle changes, while menopause, long-term HRT, and presence of milk in lactating women affected the DTI parameters. Therefore, the timing for performing breast DTI is not restricted throughout the menstrual cycle, whereas the modulations in diffusion parameters due to HRT and lactation should be taken into account in DTI evaluation.

Non-Invasive Imaging of Barriers to Drug Delivery in Tumors

Solid tumors often develop high interstitial fluid pressure (IFP) as a result of increased water leakage and impaired lymphatic drainage, as well as changes in the extracellular matrix composition and elasticity. This high fluid pressure forms a barrier to drug delivery and hence, resistance to therapy. We have developed techniques based on contrast enhanced magnetic resonance imaging for mapping in tumors the vascular and transport parameters determining the delivery efficiency of blood borne substances. Sequential images are recorded during continuous infusion of a Gd-based contrast agent and analyzed according to a new physiological model, yielding maps of microvascular transfer constants, as well as outward convective interstitial transfer constants and steady state interstitial contrast agent concentrations both reflecting IFP distribution. We further demonstrated in non small cell human lung cancer xenografts the capability of our techniques to monitor in vivo collagenase induced increase in contrast agent delivery as a result of decreased IFP. These techniques can be applied to test drugs that affect angiogenesis and modulate interstitial fluid pressure and has the potential to be extended to cancer patients for assessing resistance to drug delivery.

Breast Cancer: Spectroscopy and Imaging of Cells and Tumors

Publisher Summary Nuclear magnetic resonance (NMR) studies of transformed cells and malignant tumors of other origin were initiated at early stages of the development of this field. The applications to breast cancer followed in several laboratories by investigating human breast cancer cell lines, primary cultures of human epithelial cells, slices of excised tumors, and tumors induced or implanted in animal models. Several methods and devices maintaining well-controlled conditions of cell cultures in the NMR spectrometer were developed. Each method has its advantages and limitations and can be applied to different types of cells and tissues. This chapter describes the designs developed for investigating cancerous and normal breast epithelial cells. Their extension to other types of cells is straightforward. Spheroids provide a useful model system to study the interactions between assembled tumor cells and the interrelation between the cells and their microenvironment. This model system can be monitored by NMR microscopy and by metabolic NMR spectroscopy. The chapter reviews in vivo MRI and MRS studies of mammary tumors in model animals.

Principal component analysis of dynamic contrast enhanced mri in human prostate cancer

Objectives:To develop and evaluate a fast, objective and standardized method for image processing of dynamic contrast enhanced MRI of the prostate based on principal component analysis (PCA). Materials and Methods:The study was approved by the institutional internal review board; signed informed consent was obtained. MRI of the prostate at 3 Tesla was performed in 21 patients with biopsy proven cancers before radical prostatectomy. Seven 3-dimensional gradient echo datesets, 2 pre and 5 post-gadopentetate dimeglumine injection (0.1 mmol/kg), were acquired within 10.5 minutes at high spatial resolution. PCA of dynamic intensity-scaled (IS) and enhancement-scaled (ES) datasets and analysis by the 3-time points (3TP) method were applied using the latter method for adjusting the PCA eigenvectors. Results:PCA of 7 IS datasets and 6 ES datasets yielded their corresponding eigenvectors and eigenvalues. The first IS-eigenvector captured the major part of the signal variance because of a signal change between the precontrast and the first postcontrast arising from the inhomogeneous surface coil reception profile. The next 2 IS-eigenvectors and the 2 dominant ES-eigenvectors captured signal changes because of tissue contrast-enhancement, whereas the remaining eigenvectors captured noise changes. These eigenvectors were adjusted by rotation to reach congruence with the wash-in and wash-out kinetic parameters defined according to the 3TP method. The IS and ES-eigenvectors and rotation angles were highly reproducible across patients enabling the calculation of a general rotated eigenvector base that served to rapidly and objectively calculate diagnostically relevant projection coefficient maps for new cases. We found for the a priori selected prostate cancer patients that the projection coefficients of the IS-2nd eigenvector provided a higher accuracy for detecting biopsy proven cancers (94% sensitivity, 67% specificity, 80% ppv, and 89% npv) than the projection coefficients of the ES-2nd rotated and non rotated eigenvectors. Conclusions:PCA adjusted to correlate with physiological parameters selects a dominant eigenvector, free of the inhomogeneous radio-frequency field reception-profile and noise-components. Projection coefficient maps of this eigenvector provide a fast, objective, and standardized means for visualizing prostate cancer.