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CADstream® Prostate MRI ApplicationThe Standard of Care in MRI-CAD
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Peer-reviewed research increasingly supports the clinical use of MRI studies of the prostate due to awareness that early detection will lead to long-term survival rates. MR imaging is emerging as an important tool for the noninvasive evaluation of prostate cancer demonstrating improved sensitivity for staging and determining extent of disease. Prostate MRI also enables the physician to target more precisely for biopsy planning.
CADstream's application for the prostate is designed to customize to the way clinician's evaluate their studies.
CADstream's automated features for prostate include:
Automated 2D/3D adaptive image registration
Subtraction images
Multiplanar reformatting
Maximum intensity projections (MIPs)
Alignment of T1 and T2 Images
Coil artifact removal
Color overlays
Diffusion analysis
Portfolio for reporting
Testimonials
| “CADstream provides tremendous benefits for medical imaging programs offering MRI and has become indispensable to our practice. CADstream further improves workflow and quality of analysis and interpretation, allowing us to provide expanded access to this valuable study in the patient community.”
Ian Gardiner, MD |
| “As a research site, MRI at Belfair prides itself on utilizing the most advanced clinical imaging analysis tools. CADstream for breast has already proven itself to be indispensable in our practice. Now, CADstream for prostate is showing great promise, allowing us to confidently map disease within the gland for minimally invasive treatment planning.”
Dr. Joseph Borelli |
| “Since 1999, there has been a 40 percent per year increase in the number of breast MRI examinations in the U.S., and that number is expected to continue growing rapidly over the next five years. For this reason, we looked for technology that would increase our efficiency and provide standardization. CADstream provides our physicians and technologists with a more efficient method for processing and interpreting the images acquired. That's valuable time saved that can be spent with patients.”
Linda Sutherland, MD |
| “Technology, such as CADstream, keeps us on the cutting edge in our breast center—offering our patients the best chance at early detection and treatment. We use CADstream with every breast MRI study we interpret.”
Kara Carlson, MD |
| “We have been extremely impressed with the improved quality of our breast MRI studies as well as amount of time the CADstream has saved our clinic.”
David A. Russell, MD |
| “There is no way we could analyze five to ten breast MRI cases per day in a timely manner, without using CAD to streamline data analysis and reporting. CAD helps us manage thousands of images a breast MRI study can produce, while standardizing the evaluation process.”
David Gruen, MD |
| “CADstream has markedly reduced breast MRI study analysis and interpretation time and has improved our diagnostic confidence. The thin-client architecture has further increased efficiency, allowing us to read study images from anywhere in our network.”
Andrew Osiason, MD |
| “The addition of CADstream has significantly improved my efficiency and enhanced my analysis of MR mammographic studies. It truly helps simplify a very complex process and provides a cosistency that will allow for easier follow-up.”
Cynthia Lorino, MD |
| “CADstream continues to improve analysis and interpretation of breast MR studies. Breast MR has been significantly hindered in the past by the time consuming, laborious task of processing and interpretation of the study. CADstream markedly reduces processing and interpretation time, and there is increasing evidence suggesting that CAD may also improve the accuracy of breast MR studies. The data being presented at RSNA this year on breast MR and CAD, as well as the new CADstream features, support the contributions of advanced analysis tools, such as CAD for breast MR.”
Bruce A. Porter, MD, FACR |
| “Confirma is considered to be a valuable resource to us. The company has helped change the face of MRI here, and has made a huge impact on breast MRI in a positive way.”
Michael Cecil |
| “CADstream delivers complete analysis and interventional guidance tools, and enables studies to be viewed anywhere. CADalog has made study recall and review seamless. We can now compare prior and current studies with the click-of-a-button in CADstream.”
Craig Hanson, MD |
Product Literature
Technical Information
DICOM Conformance Statement, CADstream 5.0
DICOM Conformance Statement, CADstream 4.x
CADstream for IT
(Information on technical specifications, system architecture, backup management and system security)
Supporting Research: Improving Confidence in MRI
CADstream continues to be validated by a growing body of research. The following are selected peer-reviewed publications and abstracts using CADstream. Peer-reviewed papers on breast MRI can be found in Confirma's bibliography.
Click on a title below to view the full text:
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Computer-Aided Detection (CAD) for Breast MRI: Evaluation of Efficacy at 3.0 Carla Meeuwis, MD et al |
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MRI Detected Suspicious Breast Findings: Comparison of Kinetic Features Measured by Computer Aided Evaluation in Benign and Malignant Lesions (Lilian Wang, MD, et al., Presented at RSNA 2007) The purpose of this study was to compare three distinct computer aided evaluation kinetic features of suspicious breast MRI lesions to determine which could best predict benign or malignant outcomes. |
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Automated Breast MR Tumor Volume Measurements for Prediction of Outcome in Breast Cancer Patients on Neoadjuvant Chemotherapy (Nola Hylton, PhD, et al., Presented at RSNA 2006) The purpose of this study was to determine if automated measurements of breast MRI tumor volumes using the CADstream package are predictive of length of recurrence free survival (LRFS). |
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Analysis of a Computer Aided Evaluation Program for Breast MRI in Discriminating Benign from Malignant Lesions (W. DeMartini MD, et al., Presented at RSNA 2005) The purpose of this study was to compare the accuracy of breast magnetic resonance imaging interpretation without and with computer aided evaluation in discriminating benign from malignant lesions. |
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Do Automated Methods of Contrast Kinetic Analysis (CADstream) Improve Interobserver Variability in Breast MRI Contrast Kinetic Analysis: A Comparison Study between Automated and Manual ROI Determination (H. Gabriel MD, et al., Presented at RSNA 2005) The purpose of this study was to determine if automated ROI methods decrease interobserver variability in breast MRI contrast kinetic interpretation and improve overall accuracy in lesion interpretation compared to manual methods. |
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Effectiveness of CAD (Computer-Aided-Detection) in the Evaluation of Breast Cancer by Breast MRI and Pathology (J. Vilanova MD, et al., Presented at RSNA 2005) The purpose of this study was to evaluate the effectiveness of an automatic CAD system to detect breast cancer based on MR mammography features and the pathology results. |
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An Advanced Method of Computer Aided Evaluation Applied to Breast MRI: A Useful Tool Both for the Radiologist Analysis and for the Diagnostic Accuracy (J. Vilanova MD, J. Barceló MD, Presented at ARRS 2005) The purpose of this study was to analyze and compare between a new commercially available method of computer aided evaluation for breast MRI and standard MRI software analysis. This research focused on diagnostic accuracy, registration of data to correct patient movement-related artifact, and the usefulness for the radiologist who interprets MR breast examinations. |
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Quality Control Study of Image Registration in 40 Breast Cancer MR Imaging Patients Using Confirma CADstream Software (M. Middleton MD, et al., Presented at ARRS 2004) The purpose of this study was to evaluate registration of breast cancer MR images using Confirma CADstream software. |
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Comparison of Automatic Time Curve Selection Methods for Breast MR CAD (T. Niemeyer, et al.) The purpose of this study examines a single temporal feature, a time versus percent enhancement curve. The automatic extraction of this feature could lead to better CAD algorithms for breast cancer detection in MR. |
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Classification of Cardiac Related Artifacts in Dynamic Contrast Breast MRI (K. Stegbauer, et al.) This study was designed to build and evaluate the performance of a novel spatial classifier for detecting enhancing clusters within the chest wall. The use of such a classifier improves the appearance and utility of automatically generated MIP images in dynamic contrast breast MRI. |
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A New Method of Computer Aided Evaluation Applied to Breast MRI: Improved Specificity Without Decreased Sensitivity (C. Lehman MD, PhD, et al.) The purpose of this study was to compare the accuracy of breast MRI interpretations with and without CADstream at three distinct thresholds of enhancement. |
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Increasing the Utility of Breast MRI for Pre-Surgical Planning by Reporting Information Useful to Surgeons (J. Smith MD, et al.) The purpose of this work is to describe a method for tailoring the results of the breast MRI examination to efficiently answer the breast surgeon's clinical questions regarding the extent of disease and a patient's response to therapy. |
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A CAD System for Breast MR Image Interpretation (J. Smith MD, C. Wood) Recent advances in breast MR image acquisition techniques have increased the amount of data acquired in a typical exam, further increasing the time required for radiologists to read and interpret the studies. In this analysis, a pre-released version of a commercial image processing system (CADstream®) was utilized in the interpretation of 10 breast MRI studies. |
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Patient Motion Correction in Breast MRI (J. Smith MD, et al.) Breast MRI studies rely on both the acquisition and analysis of pre- and post-contrast images. While quantitative analysis of these studies has the potential to decrease interpretation time and increase accuracy, patient movement between scans can introduce artifact. In this study, a pre-released version of a commercial image processing system (CADstream) was used to evaluate the effect of a non-rigid registration tool on quantitative analysis. |
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Bilateral and Multicentric Breast Carcinoma: Findings on Dynamic and High Spatial Resolution Breast MRI |
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