Canadian Association of Radiologists Breast Disease Imaging Referral Guideline.

The Canadian Association of Radiologists (CAR) Breast Disease Expert Panel consists of breast imaging radiologists, a high-risk breast clinician, a patient advisor, and an epidemiologist/guideline methodologist. After developing a list of 20 clinical/diagnostic scenarios, a systematic rapid scoping review was undertaken to identify systematically produced referral guidelines that provide recommendations for one or more of these clinical/diagnostic scenarios. Recommendations from 30 guidelines and contextualization criteria in the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) for guidelines framework were used to develop 69 recommendation statements across the 20 scenarios. This guideline presents the methods of development and the recommendations for referring asymptomatic individuals, symptomatic patients, and other scenarios requiring imaging of the breast.

Dual-Energy CT Texture Analysis With Machine Learning for the Evaluation and Characterization of Cervical Lymphadenopathy.

PURPOSE: To determine whether machine learning assisted-texture analysis of multi-energy virtual monochromatic image (VMI) datasets from dual-energy CT (DECT) can be used to differentiate metastatic head and neck squamous cell carcinoma (HNSCC) lymph nodes from lymphoma, inflammatory, or normal lymph nodes. MATERIALS AND METHODS: A retrospective evaluation of 412 cervical nodes from 5 different patient groups (50 patients in total) having undergone DECT of the neck between 2013 and 2015 was performed: (1) HNSCC with pathology proven metastatic adenopathy, (2) HNSCC with pathology proven benign nodes (controls for (1)), (3) lymphoma, (4) inflammatory, and (5) normal nodes (controls for (3) and (4)). Texture analysis was performed with TexRAD® software using two independent sets of contours to assess the impact of inter-rater variation. Two machine learning algorithms (Random Forests (RF) and Gradient Boosting Machine (GBM)) were used with independent training and testing sets and determination of accuracy, sensitivity, specificity, PPV, NPV, and AUC. RESULTS: In the independent testing (prediction) sets, the accuracy for distinguishing different groups of pathologic nodes or normal nodes ranged between 80 and 95%. The models generated using texture data extracted from the independent contour sets had substantial to almost perfect agreement. The accuracy, sensitivity, specificity, PPV, and NPV for correctly classifying a lymph node as malignant (i.e. metastatic HNSCC or lymphoma) versus benign were 92%, 91%, 93%, 95%, 87%, respectively. CONCLUSION: Machine learning assisted-DECT texture analysis can help distinguish different nodal pathology and normal nodes with a high accuracy.

Impact of a Same-Day Breast Biopsy Program on Disparities in Time to Biopsy.

BACKGROUND: Disparities in breast cancer diagnosis are established. In usual practice, biopsies are performed days or weeks after recommendation. Our aim was to measure the impact of a same-day biopsy program on disparities in time from biopsy recommendation to performance. METHODS: After Institutional Review Board approval, we identified all diagnostic examinations leading to biopsy pre- (September 2016 to March 2017) and post- (September 2017 to March 2018) implementation of our same-day biopsy program. We compared demographic characteristics (age, race, language, and insurance) and biopsy information (days from biopsy recommendation to biopsy, and proportion of same-day biopsies in all biopsies) in pre- versus postimplementation groups. Multivariable linear and logistic models in pre- and postimplementation groups assessed if days from biopsy recommendation to biopsy and having a same-day biopsy were associated with patient subgroups. RESULTS: In all, 663 and 482 patients underwent biopsy during pre- and postimplementation periods, respectively. Patient subgroups were similar between periods. For all patients, the same-day biopsy program decreased median time from diagnostic examination to biopsy from 8 (interquartile range: 4-13) to 0 (interquartile range: 0-4) days (P < .001). During the pre-implementation period, nonwhite patients and having Medicare insurance were associated with longer days to biopsy (nonwhite Adjusted Coefficient: 2.31, 95% confidence interval [CI]: 0.58-4.03; insurance Adjusted Coefficient: 2.47, 95% CI: 0.58-4.37; P < .05), after adjustment. During the postimplementation period, the previously seen disparities did not persist (nonwhite Adjusted Coefficient: -0.416, 95% CI: -2.16-1.33; insurance Adjusted Coefficient: 0.812, 95% CI: -1.18-2.80; P > .05). CONCLUSION: There was no evidence of racial/ethnic or insurance disparities in time from biopsy recommendation to performance after implementation of a same-day biopsy program.

Value of Shear Wave Elastography for the Differentiation of Benign and Malignant Microcalcifications of the Breast.

OBJECTIVE. The objective of our study was to evaluate whether shear wave elastography (SWE) can differentiate benign from malignant microcalcifications of the breast when detected on ultrasound (US). SUBJECTS AND METHODS. Between February 9, and June 23, 2016, 74 patients with mammographically detected suspicious microcalcifications underwent breast US. When microcalcifications were identified on US, stiffness was assessed using SWE. Biopsy was subsequently performed under US guidance using a 10-gauge vacuum-assisted needle. Qualitative and quantitative elastography results were compared between benign and malignant calcifications as well as between pure ductal carcinoma in situ and lesions with invasive components using the Mann-Whitney U test. ROC curves were created to assess the performance of SWE in detecting malignancy and invasive components. RESULTS. Twenty-nine groups of microcalcifications in 29 patients were identified on US. At pathology, 16 groups were benign and 13 were malignant. Stiffness of malignant calcifications was significantly higher than that of the benign ones (p = 0.0004). The AUC, sensitivity, specificity, negative predictive value, positive predictive value, and accuracy of SWE for the diagnosis of malignancy were 0.89, 69%, 100%, 80%, 100%, and 86%, respectively, and for detection of an invasive component were 0.93, 75%, 100%, 75%, 100%, and 85%. CONCLUSION. SWE has the potential to differentiate benign from malignant micro-calcifications of the breast when detected on US with high specificity.

A fatal complication of ultrasound-guided abdominal paracentesis.

Ultrasound-guided abdominal paracentesis is a procedure that is frequently performed by radiologists for both diagnostic and therapeutic purposes. This procedure has been shown to be safe with few complications. We report the case of a patient who underwent an ultrasound-guided therapeutic abdominal paracentesis for refractory ascites complicated by intraperitoneal hemorrhage leading to death. This case suggests that ultrasound-guided paracentesis may need to become a more standardized procedure and that in the event of hemorrhage, alternative treatment options such as embolization or surgical intervention should be utilized when manual compression fails.

How the public responded to the Schiavo controversy: evidence from letters to editors.

The history and genesis of major public clinical ethics controversies is intimately related to the publication of opinions and responses in media coverage. To provide a sample of public response in the media, this paper reports the results of a content analysis of letters to editors published in the four most prolific American newspapers for the Schiavo controversy. Opinions expressed in the letters sampled strongly supported the use of living wills and strongly condemned public attention to the case as well as political interventions. Letters tended to be against withdrawal of life support, proxy consent and associated procedures as well as against court decisions and legal procedures. In comparison with reports written by journalists, letters to editors contained fewer controversial claims about Schiavo''s neurological condition and behavioural repertoire but similar loaded language to describe withdrawal of life support. Distinct public discourses can be encountered in different stakeholders suggesting complex and extensive pluralism even within the media.