Background And Purpose: Identifying breast cancers of limited extent (BCLE) is becoming increasingly important, especially for (image guided) minimally invasive therapy and partial breast irradiation. The purpose of this study is to establish characteristics at functional imaging and pathology associated with invasive BCLE.
Materials And Methods: Seventy-five patients (77 breasts) with invasive breast cancer were prospectively included. Excision specimens were processed using complete embedding. Microscopic findings were reconstructed and correlated with contrast-enhanced MRI. Tumors were stratified by absence or presence of occult disease ≥10 mm from the MRI-visible lesion: BCLE and non-BCLE, respectively. Imaging and pathology characteristics were evaluated for their ability to discriminate between BCLE and non-BCLE. Multivariate binary logistic regression was employed to create a prediction model for BCLE.
Results: At univariate analysis, imaging as well as pathology characteristics were indicative for BCLE (39/77=51%). At multivariate analysis, a mass on mammography, the absence of tumor washout, positive ER and low quantity of DCIS in the index tumor retained significance (area under ROC curve=0.87).
Conclusions: Pre-treatment assessment of mammography findings, MRI washout kinetics, ER status and quantity of DCIS in the index tumor has the potential to accurately identify BCLE.
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http://dx.doi.org/10.1016/j.radonc.2012.04.014 | DOI Listing |
Acta Vet Scand
January 2025
Department of Companion Animal Clinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Oluf Thesens Vei 30, Ås, Norway.
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Radiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
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View Article and Find Full Text PDFVet Res
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Veterinary Diagnostic Laboratory, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA.
Cranioventral pulmonary consolidation (CVPC) is a common lesion observed in the lungs of slaughtered pigs, often associated with Mycoplasma (M.) hyopneumoniae infection. There is a need to implement simple, fast, and valid CVPC scoring methods.
View Article and Find Full Text PDFJ Med Case Rep
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Department of Urology, SRM Institute of Science and Technology, SRM Nagar, Chengalpattu, Kattankulathur, Tamilnadu, 603203, India.
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January 2025
Department of Magnetic Resonance Imaging, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, 450052, China.
Background: Conventional hip joint MRI scans necessitate lengthy scan durations, posing challenges for patient comfort and clinical efficiency. Previously, accelerated imaging techniques were constrained by a trade-off between noise and resolution. Leveraging deep learning-based reconstruction (DLR) holds the potential to mitigate scan time without compromising image quality.
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