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The 5 lymph nodes were excluded from further evaluation, leaving 35 cases. Size on US imaging ranged from 0.
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No surgical excision was found in 1 case of metastatic disease. Conclusions: Our review of cancers detected at screening US confirms that US can detect cancers originally occult on mammography, most frequently which are invasive, of low stage and grade, and with minimal lymph node metastases. Presenter and Author: Elissa T. Objectives: 1. Learn about the automated breast ultrasound ABUS screening callback frequency of various breast lesions. Understand the ABUS methods to avoid calling back lesions due to a shadowing artifact.
Appreciate the difference in thought processes between analyzing screening mammographic versus ABUS lesions. All patients who were examined were asymptomatic and had either a heterogeneous or extremely dense mammographic breast fibroglandular composition. Conclusions: Review of callbacks has led to understanding methods to reduce them.
Author: Kirk D. Likewise, parametric volumes were constructed for perfusion as the slope of the TIC and area under the curve AUC based on individual voxels in the lesion volume. Receiver operating characteristic ROC analysis and reverse, stepwise logistical regression were used to assess diagnostic accuracy with biopsy results as the reference standard. Analysis of vascular heterogeneity using 3D SHI TIC volumes showed a significant difference in vascularity between central and peripheral sections 1.
Areas under the ROC curve for individual parameters ranged from 0. Conclusions: 3D SHI is able to detect contrast flow in vascular breast masses. Evaluation of vascular heterogeneity and parametric maps suggests quantitative parameters could aid in the characterization of breast lesions. Objectives: This study aimed at the usefulness of conventional ultrasound US and US elastography, especially the latest Virtual Touch tissue imaging and quantification VTIQ , in malignancy prediction for complex cystic and solid breast lesions.
Results: Among the 89 lesions, 34 Sixteen variables were subject to multivariate logistic regression analysis.
The combined diagnostic method was able to improve the specificity Conclusions: Both conventional US and US elastography contribute substantially to malignancy prediction in complex cystic and solid lesions. The diagnostic efficacy of conventional US in terms of Az and specificity could be significantly improved by combining with US elastography. Presenter and Author: S.
Objectives: We propose a new preprocessing technique for breast ultrasound BUS images to facilitate demarcating lesion borders, which is challenging for traditional segmentation algorithms. Methods: First, a simple shape eg, a circle is initialized within the lesion area and the histogram of the shape area are determined.
Then 2 breaking pointers left and right are put on the histogram at the positions from where the pixel numbers contribute less to the shape area.
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If the pixels near black values contribute significantly, we put the left pointer on 0. Next, we multiply the less contributing pixels with a coefficient such that these pixels change their pixel values and move away from the most contributing pixels.
This step is applied on the whole image, making the lesion area more saturated with the most contributing pixels, leading to less gradient change to form edges. Then we clear up the edges that appear near the center of the initialized shape. Finally, dilation followed by erosion fills up small holes and connects small gaps among the edges.
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Results: This method was implemented on 94 BUS images. For 74 images, the method produced good results. For the best cases, the edge map image itself provides segmentation of the lesion. For the worst cases, the intermediate image is almost identical to the original image edge map. Conclusions: This is a preprocessing step for any algorithm that depends on edges or a lesion or both. Automatic segmentation is important in breast imaging.
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This preprocessing step has been found to improve segmentation results in BUS images if used with regular image segmentation algorithms. Objectives: To evaluate the efficacy of a subdermal ultrasound contrast agent UCA in the identification of sentinel lymph nodes SLNs in healthy volunteers and breast cancer patients.
The patients then received their regular standard of care with blue dye and lymphoscintigraphy for guiding lymph node resection. The SLN was then sent to pathology to determine the final diagnosis. Five breast cancer patients have been enrolled today with a total of 14 SLNs resected; all of them were negative for malignancy. Conclusions: Our preliminary findings show that lymphosonography has a better accuracy than lymphoscintigraphy for identifying SLNs in breast cancer patients.
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Methods: From December to September , cases with early breast cancer were enrolled in this study. Patients received the intradermal injection of a microbubble contrast agent around the areola the day before surgery. The locations and sizes of lymphatic channels and sentinel lymph nodes were marked in the body surface using gentian violet.
Then injection of double blue dye was performed 30 minutes before the operation. It is a method worthy of clinical popularization and application of technology.
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