Mammographic Features of Breast Cancers at Single Reading with Computer-aided Detection and at Double Reading in a Large Multicenter Prospective Trial of Computer-aided Detection: CADET II
Jonathan J. James, Fiona J. Gilbert, Matthew G. Wallis, Maureen G. C. Gillan, Susan M. Astley, Caroline R. M. Boggis, Olorunsola F. Agbaje, Adam R. Brentnall, and Stephen W. Duffy
Radiology 2010;256 379-386
Link to Journal
Purpose: To evaluate the mammographic features of breast cancer that favor lesion detection with single reading and computer-aided detection (CAD) or with double reading
Results: A total of 227 cancers were detected in 28 204 women. A total of 170 cases were recalled with both reading regimens. Lesion types were masses (66%), microcalcifications (25%), parenchymal deformities (6%), and asymmetric densities (3%). The ability of the reading regimens to correctly prompt the reader to recall cases varied significantly by lesion type (P < .001). More parenchymal deformities were recalled with double reading, whereas more asymmetric densities were recalled with single reading with CAD. There was no difference in the ability of either reading regimen to prompt the reader to correctly recall masses or microcalcifications. CAD correctly prompted 100% of microcalcifications, 87% of mass lesions, 80% of asymmetric densities, and 50% of parenchymal deformities. CAD correctly marked 93% of spiculated masses compared with 80% of ill-defined masses (P = .054). There was a significant trend for cancers detected with double reading to occur only in women with a denser mammographic background pattern (P = .02). Size had no effect on lesion detection.
Conclusion: Readers using either single reading with CAD or double reading need to be aware of the strengths and weaknesses of reading regimens to avoid missing the more challenging cancer cases
Friday, 23 July 2010
Early-Stage Invasive Breast Cancers: Potential Role of Optical Tomography with US Localization in Assisting Diagnosis
Early-Stage Invasive Breast Cancers: Potential Role of Optical Tomography with US Localization in Assisting Diagnosis
Quing Zhu, Poornima U. Hegde, Andrew Ricci, Jr, Mark Kane, Edward B. Cronin, Yasaman Ardeshirpour, Chen Xu, Andres Aguirre, Scott H. Kurtzman, Peter J. Deckers, and Susan H. Tannenbaum
Radiology 2010;256 367-378
Link to Journal
Purpose: To investigate the potential role of optical tomography in the near-infrared (NIR) spectrum with ultrasonographic (US) localization as a means of differentiating early-stage cancers from benign lesions of the breast.
We showed that intrinsic angiogenesis (tHb - total hemoglobin concentration) contrast imaged by using the NIR technique with US holds promise as an adjunct to mammography and US for distinguishing early-stage invasive breast cancers from benign lesions
Quing Zhu, Poornima U. Hegde, Andrew Ricci, Jr, Mark Kane, Edward B. Cronin, Yasaman Ardeshirpour, Chen Xu, Andres Aguirre, Scott H. Kurtzman, Peter J. Deckers, and Susan H. Tannenbaum
Radiology 2010;256 367-378
Link to Journal
Purpose: To investigate the potential role of optical tomography in the near-infrared (NIR) spectrum with ultrasonographic (US) localization as a means of differentiating early-stage cancers from benign lesions of the breast.
We showed that intrinsic angiogenesis (tHb - total hemoglobin concentration) contrast imaged by using the NIR technique with US holds promise as an adjunct to mammography and US for distinguishing early-stage invasive breast cancers from benign lesions
Labels:
angiogenesis,
breast cancer,
early stage,
optical imaging
Multiparametric Imaging of Tumor Response to Therapy
Multiparametric Imaging of Tumor Response to Therapy
Anwar R. Padhani and Kenneth A. Miles
Radiology 2010;256 348-364
Link to Journal
By combining quantitative biomarker data from a number of imaging techniques one may begin to understand how novel therapies affect tumor cells and tissue microenvironments
Anwar R. Padhani and Kenneth A. Miles
Radiology 2010;256 348-364
Link to Journal
By combining quantitative biomarker data from a number of imaging techniques one may begin to understand how novel therapies affect tumor cells and tissue microenvironments
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