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Immuno-Enriched Microspheres * Magnetic Knife Spray-Tandem Muscle size Spectrometry pertaining to Domoic Acid within Mussels.
Cox regression analysis was used to model the time to initiation and discontinuation, with longitudinal linear regression for adherence to endocrine therapy. learn more RESULTS Women with more frequent previous medication use and pharmacy visits were more likely to initiate, 4+ medications and 2+ visits versus no medication (hazard ratio [HR], 1.47; 95% confidence interval [CI], 1.33-1.63), to adhere (6.0%; 95% CI, 4.3-7.6), and to continuously use their endocrine therapy (discontinuation HR, 0.48; 95% CI, 0.39-0.59). Medication administration complexity had modest effects. Difficult medication regimens were more common for patients with bipolar and psychotic disorders but had no statistically significant effects. CONCLUSIONS Experience with frequent previous medication use and pharmacy visits might increase the likelihood of endocrine therapy use for most patients but not for those with bipolar and psychotic disorders. BACKGROUND Axillary lymph node status is important for breast cancer staging and treatment planning as the majority of breast cancer metastasis spreads through the axillary lymph nodes. There is currently no reliable noninvasive imaging method to detect nodal metastasis associated with breast cancer. MATERIALS AND METHODS Magnetic resonance imaging (MRI) data were those from the peak contrast dynamic image from 1.5 Tesla MRI scanners at the pre-neoadjuvant chemotherapy stage. Data consisted of 66 abnormal nodes from 38 patients and 193 normal nodes from 61 patients. Abnormal nodes were those determined by expert radiologist based on 18Fluorodeoxyglucose positron emission tomography images. Normal nodes were those with negative diagnosis of breast cancer. The convolutional neural network consisted of 5 convolutional layers with filters from 16 to 128. Receiver operating characteristic analysis was performed to evaluate prediction performance. For comparison, an expert radiologist also scored the same nodes as normal or abnormal. RESULTS The convolutional neural network model yielded a specificity of 79.3% ± 5.1%, sensitivity of 92.1% ± 2.9%, positive predictive value of 76.9% ± 4.0%, negative predictive value of 93.3% ± 1.9%, accuracy of 84.8% ± 2.4%, and receiver operating characteristic area under the curve of 0.91 ± 0.02 for the validation data set. These results compared favorably with scoring by radiologists (accuracy of 78%). CONCLUSION The results are encouraging and suggest that this approach may prove useful for classifying lymph node status on MRI in clinical settings in patients with breast cancer, although additional studies are needed before routine clinical use can be realized. This approach has the potential to ultimately be a noninvasive alternative to lymph node biopsy. Expression of human epidermal growth factor receptor 2 (HER2) in breast cancer defines a subset of patients (∼15%-20%) who are candidates for anti-HER2 therapies, most notably, trastuzumab, pertuzumab, antibody drug conjugates (eg, T-DM1), and tyrosine kinase inhibitor (TKI) drugs (eg, lapatinib and neratinib), all of which have dramatically changed the prognosis for this aggressive subtype of breast cancer. A roundtable meeting of the Breast Cancer Therapy Expert Group (BCTEG) was convened in March 2018 in an effort to discuss and clarify, from the perspective of the practicing community oncologist, recent developments in the diagnosis and treatment of HER2-positive (HER2+) breast cancer. Members of the group selected 4 key topics for discussion prior to the meeting, including diagnosis of HER2+ disease, and its treatment in the neoadjuvant, adjuvant, and metastatic settings. Approved testing methods, such as immunohistochemistry and fluorescence in situ hybridization, are used to demonstrate overexpression and/or amplification of HER2 in breast tumors, and established clinical guidelines are used to appropriately define treatment plans for patients with HER2+ disease. The panel acknowledges a range of treatment options now available for treatment of HER2+ breast cancer in the neoadjuvant, adjuvant, and advanced/metastatic settings, although it is noted that many controversies remain, including the optimal sequence of therapies, the most appropriate treatment(s) for subsets of patients with HER2+ disease (eg, hormone receptor-negative or -positive/HER2+), and uncertainties surrounding the diagnosis and definition of HER2+ disease. The current report summarizes the discussion of the BCTEG panel on this topic. The androgen receptor (AR) is increasingly considered as a potential biomarker for breast cancer. Nevertheless, the prognostic value of AR expression in patients with triple negative breast cancer (TNBC) remains controversial. Therefore, in this meta-analysis, we investigated AR expression and its impact on survival outcome. PubMed, Embase, the Cochrane Library, and references of articles were searched to identify relevant studies that investigated the association between AR expression and prognosis in patients diagnosed with TNBC and were published between 1946 and May 2019. The hazard ratio (HR) and confidence interval (CI) of disease-free survival, overall survival, distant disease-free survival, and recurrence-free survival were weighted and pooled by using the fixed-effect or random-effect model based on the heterogeneity of included studies. A total of 27 studies including 4914 patients with TNBC were included. AR was expressed in 27.96% (1315/4703) of patients with TNBC. In addition, AR expression in TNBC was not associated with disease-free survival (HR, 0.923; 95% CI, 0.671-1.271; P = .634), overall survival (HR, 0.910; 95% CI, 0.678-1.222; P = .531), distant disease-free survival (HR, 1.02; 95% CI, 0.96-1.08; P = .489), or recurrence-free survival (HR, 0.957; 95% CI, 0.462-1.982; P = .906) in TNBC, regardless of confounding factors and heterogeneity that existed among included studies. In patients with TNBC, AR expression is not associated with prognosis. BACKGROUND The etiology of sacroiliac joint (SIJ) degeneration has not been fully elucidated, and there has been almost no report on the relevance between SIJ degeneration and hip osteoarthritis secondary to developmental dysplasia of the hip (DDH). We investigated factors associated with SIJ degeneration, specifically its laterality in patients with end-stage hip osteoarthritis secondary to unilateral DDH. METHODS We included 152 patients with end-stage unilateral hip osteoarthritis secondary to DDH who underwent primary THA between January 2008 and November 2015. SIJ degeneration was classified (type 0, no degenerative change, to type 3, ankyloses) using preoperative axial computed tomography. SIJ degeneration of the DDH (shorter leg) and contralateral (longer leg) sides was compared; differences in patient demographics and radiological parameters between SIJ degeneration of type 0 or 1 versus type 2 or 3 for the shorter and longer leg sides were analyzed. RESULTS SIJ on the longer leg side showed more degenerative changes (p less then 0.
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