Most subcutaneous angiolipomas are oval-shaped, have well-defined margins, and hyperechoic appearance on ultrasonography. Although color Doppler flow of subcutaneous angiolipoma is not seen in many cases, it may helpful in differentiating angiolipoma from ordinary subcutaneous lipoma.
Angioleiomyoma of the extremities is usually a well-circumscribed oval mass with a homogeneous echo texture and occasionally hypoechoic protrusions on US and shows heterogeneous enhancement with occasionally enhancing structures on one or both ends of the mass on MRI. Therefore, it should be included in the differential diagnosis of a soft tissue mass that has protruding structures from one or both ends.
Capsular distension, extracapsular fluid collection, periarticular muscle edema, and the size of bone erosions on MRI, as well as the age, CRP level, and ESR of patients, could be helpful for differentiating infectious arthritis from spondyloarthritis involving the sternoclavicular joint.
The ability of mammography and magnetic resonance imaging (MRI) to predict residual malignancy after excisional biopsy for microcalcifications and whether background parenchymal enhancement (BPE) on MRI influences diagnostic performance was assessed in 51 patients. MRI was more accurate than mammography; however, BPE decreased the diagnostic performance of MRI. Patients with breast cancer with moderate or marked BPE require careful assessment. Background: Whether surgery should be performed after excisional biopsy based on mammography or magnetic resonance imaging (MRI) findings has not been evaluated for breast cancer with suspicious microcalcifications on mammography. This study investigated the ability of mammography and MRI to predict residual malignancy after excisional biopsy for suspicious microcalcifications and whether background parenchymal enhancement (BPE) influences the diagnostic performance of MRI. Patients and Methods: Fifty-one patients with breast cancer who underwent excisional biopsy for suspicious microcalcifications between January 2009 and February 2019 were enrolled in this single-center retrospective study. Two expert readers independently evaluated the ability of mammography and MRI to predict residual malignancy at the surgical site. The diagnostic value of mammography and MRI was evaluated using histopathology as the standard. Results: Thirty-two patients had residual malignancy. The average overall sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and area under the curve for residual malignancy were 78.
With low-dose CT, the radiation dose can be decreased to 22% of that of standard-dose CT without affecting the image quality. Low-dose CT can be considered the minimum optimal radiation for patients who need surgery. Iterative model reconstruction is not useful for assessing the anatomic details of the paranasal sinus on CT.
Objective: To identify the predictive factors of cancer invading into the nipple. Methods: Patients with breast cancer undergoing mastectomy between May 2009 and March 2019 were reviewed retrospectively. Of these, those with breast cancer within 2 cm of the nipple areolar complex on ultrasonography were included in this study. Clinicopathological data of the primary tumor and imaging findings from mammography, ultrasonography, and MRI were compared between cases with and without nipple involvement by cancer. Results: In total, 156 of the 821 patients identified were included in the analysis. Of them, 29 had nipple involvement by cancer. Univariate analysis revealed that the following imaging results were significantly associated with nipple involvement: perineural invasion, lymphovascular invasion, lymph node metastasis; relation type between the tumor and the nipple on ultrasonography; periareolar skin thickening on mammography; and short tumor-nipple distance, continuous enhancement between the nipple and tumor, skin enhancement, and nipple enhancement on MRI. However, on multivariate logistic regression analysis, only invasion type of tumor on ultrasonography and nipple enhancement and short tumor-nipple distance on MRI were significantly correlated with nipple involvement by cancer. Conclusion: Imaging findings on preoperative mammography, ultrasonography and MRI are effective predictors for nipple involvement by cancer. Advances in knowledge: Preoperative mammography, ultrasonography, and MRI help predict nipple involvement by breast cancer.
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