Antithrombotic Therapy and Hematoma Risk during Image-guided Core-Needle Breast Biopsy.

Background For image-guided core-needle breast biopsy (CNBB), it remains unclear whether antithrombotic medication should be withheld because of hematoma risk. Purpose To determine hematoma risk after CNBB in patients receiving antithrombotic medication and to stratify risk by antithrombotic type. Materials and Methods This HIPAA-compliant retrospective study included US-, stereotactic-, or MRI-guided CNBBs performed across six academic and six private practices between April 2019 and April 2021. Patients were instructed to continue antithrombotic medications, forming two groups: antithrombotic and nonantithrombotic. Hematomas were defined as new biopsy-site masses with a diameter of 2 cm or larger on postprocedure mammograms. Hematomas were considered clinically significant if management involved an intervention other than manual compression. Patient age, type of antithrombotic medication, practice type, image guidance modality, needle gauge and type, and outcome of pathologic analysis were recorded. Multivariable logistic regression analysis was used to analyze variables associated with hematomas. Results A total of 3311 biopsies were performed in 2664 patients (median age, 60 years; IQR, 48-70 years; 2658 women). The nonantithrombotic group included 2788 biopsies, and the antithrombotic group included 523 biopsies (328 low-dose aspirin, 73 full-dose antiplatelet drugs, 51 direct oral anticoagulants, 36 warfarin, 32 daily nonsteroidal anti-inflammatory drugs, three heparin or enoxaparin). The antithrombotic group had a higher overall hematoma rate (antithrombotic group: 49 of 523 biopsies [9.4%], nonantithrombotic group: 172 of 2788 biopsies [6.2%]; P = .007), but clinically significant hematoma rates were not different (antithrombotic group: two of 523 biopsies [0.4%], nonantithrombotic group: one of 2788 biopsies [0.04%]; P = .07). At multivariable analysis, age (odds ratio [OR], 1.02; 95% CI: 1.01, 1.03; P < .001), 9-gauge or larger needles (OR, 2.1; 95% CI: 1.28, 3.3; P = .003), and full-dose antiplatelet drugs (OR, 2.5; 95% CI: 1.29, 5.0; P = .007) were associated with higher hematoma rates. US guidance (OR, 0.26; 95% CI: 0.17, 0.40; P < .001) and 10-14-gauge needles (OR, 0.53; 95% CI: 0.36, 0.79; P = .002) were predictive of no hematoma. Conclusion Because clinically significant hematomas were uncommon, withholding antithrombotic medications before core-needle breast biopsy may be unnecessary. Postbiopsy hematomas were associated with full-dose antiplatelet drugs, patient age, and 9-gauge or larger needles. No association was found with other types of antithrombotic medication. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Chang and Yoen in this issue.

The Role of Cognitive Bias in Breast Radiology Diagnostic and Judgment Errors.

Cognitive bias is an unavoidable aspect of human decision-making. In breast radiology, these biases contribute to missed or erroneous diagnoses and mistaken judgments. This article introduces breast radiologists to eight cognitive biases commonly encountered in breast radiology: anchoring, availability, commission, confirmation, gambler's fallacy, omission, satisfaction of search, and outcome. In addition to illustrative cases, this article offers suggestions for radiologists to better recognize and counteract these biases at the individual level and at the organizational level.

Ductal Carcinoma in Situ: Quantitative Preoperative Breast MR Imaging Features Associated with Recurrence after Treatment.

Purpose To investigate whether specific imaging features on breast magnetic resonance (MR) images are associated with ductal carcinoma in situ (DCIS) recurrence risk after definitive treatment. Materials and Methods Patients with DCIS who underwent preoperative dynamic contrast material-enhanced (DCE) MR imaging between 2004 and 2014 with ipsilateral recurrence more than 6 months after definitive surgical treatment were retrospectively identified. For each patient, a control subject with DCIS that did not recur was identified and matched on the basis of clinical, histopathologic, and treatment features known to affect recurrence risk. On DCE MR images, lesion characteristics (longest diameter, functional tumor volume [FTV], peak percentage enhancement [PE], peak signal enhancement ratio [SER], and washout fraction) and normal tissue features (background parenchymal enhancement [BPE] volume, mean BPE) were quantitatively measured. MR imaging features were compared between patients and control subjects by using the Wilcoxon signed-rank test, with adjustment for multiple comparisons. Results Of 415 subjects with DCIS who underwent preoperative MR imaging, 14 experienced recurrence and 11 had an identifiable matching control subject (final cohort, 11 patients and 11 control subjects). Median time to recurrence was 14 months, and median follow-up for control subjects was 102 months. When compared with matched control subjects, patients with DCIS recurrence exhibited significantly greater FTV (median, 9.3 cm3 vs 1.3 cm3, P = .01), lesion peak SER (median, 1.7 vs 1.2; P = .03), and mean BPE (median, 58.3% vs 41.1%; P = .02). Conclusion Quantitative lesion and normal breast tissue characteristics at preoperative MR imaging in women with newly diagnosed DCIS show promise for association with breast cancer recurrence after treatment. © RSNA, 2017.

Retirement savings plans for radiologists: part 1--the options.

Employer-sponsored retirement plans are the primary savings vehicles used by radiologists to fund their retirements. A variety of retirement plans are available with guidelines, benefits, and restrictions specified by the Internal Revenue Code. In this article, we review and summarize the salient features of these plans. A second article, in an upcoming issue of JACR, explores the current status of radiologists' retirement plans.

Retirement savings plans for radiologists, part 2: a comparison of academic and private practice retirement benefits.

A survey on retirement benefits was conducted involving 42 academic radiology departments and 42 private practice radiology groups. In this article, we present and discuss the survey results and provide recommendations for improving the retirement benefits for radiologists in both private practice and academic settings. A previous article, in last month's issue, provides details of how the various retirement plans mentioned in this article operate.