Tagged: Oncologists

The Impact of Preoperative Breast MRI on Timing of Surgical Management in Newly Diagnosed Breast Cancer

Canadian Association of Radiologists Journal, Ahead of Print. <br/>Purpose: Preoperative breast MRI has been recommended at our center since 2016 for invasive lobular carcinoma and cancers in dense breasts. This study examined how preoperative breast MRI impacted surgical timing and outcomes for patients with newly diagnosed breast cancer. Methods: Retrospective single-center study of consecutive women diagnosed with new breast cancer between June 1, 2019, and March 1, 2021, in whom preoperative breast MRI was recommended. MRI, tumor histology, breast density, post-MRI biopsy, positive predictive value of biopsy (PPV3), surgery, and margin status were recorded. Time from diagnosis to surgery was compared using t-tests. Results: There were 1054 patients reviewed, and 356 were included (mean age 60.9). Of these, 44.4% (158/356) underwent preoperative breast MRI, and 55.6% (198/356) did not. MRI referral was more likely for invasive lobular carcinoma, multifocal disease, and younger patients. Following preoperative MRI, 29.1% (46/158) patients required additional breast biopsies before surgery, for a PPV3 of 37% (17/46). The time between biopsy and surgery was 55.8 ± 21.4 days for patients with the MRI, compared to 42.8 ± 20.3 days for those without (P < .00001). MRI was not associated with the type of surgery (mastectomy vs breastconserving surgery) (P = .44) or rate of positive surgical margins (P = .52). Conclusion: Among patients who underwent preoperative breast MRI, we observed significant delays to surgery by almost 2 weeks. When preoperative MRI is requested, efforts should be made to mitigate associated delays.

Gender and Racial Diversity in Relation to Publication Rates at the Canadian Association of Radiology Annual Scientific Meetings 2016 to 2019

Canadian Association of Radiologists Journal, Ahead of Print. <br/>Purpose: To determine the overall rate of publication of abstracts presented at the 2016 to 2019 Canadian Association of Radiology Annual Scientific Meeting (CAR ASM), with an emphasis on gender and racial diversity. Methods: Abstracts from publicly available past programs were analyzed using PubMed, EMBASE, and Google Scholar for publication status, time to publication (TTP), author affiliation, and journal of publication. Past programs were used to determine the abstract format, abstract category, and the subspecialty and imaging modalities explored. First author demographics were identified using the Namsor software. Results: Four hundred and sixty-two abstract presentations were included in the analysis with an overall conversion rate of 34.63%. Two hundred and ninety-two (63.2%) of the first-authors were male-identified, of which 104 (35.62%) were published. In contrast, 170 (36.8%) were female-identified, of which 56 (32.94%) were published. Additionally, 50.87% first-authors were identified as white, 38.31% asian, 6.06% black, 4.76% latino, and 0.00% indigenous. While diversity was seen in demographics, 60% of publications had a white first-author. The following conversion rates were found: 40.85% white, 30.51% asian, 25% black, and 13.64% latino. In terms of abstract category, radiologist-in-training had the highest conversion rate at 60.71%. The median TTP was 14 months, with an average impact factor of 5.26. Conclusion: Less than half of abstracts at the 2016 to 2019 CAR ASM were published and both gender and racial disparities in relation to conversion rates were identified. Measures to improve publication rates and overall diversity in Radiology are warranted.

A postimplant dosimetry simulation framework for robustness evaluation in permanent breast seed implant brachytherapy

Permanent breast seed implant (PBSI) brachytherapy is a promising treatment that has the potential to be widely utilized with increased standardization, optimization, and robustness. Excellent early efficacy and very high patient acceptance were reported, however, to further evaluate and improve planning strategies, a framework to quantify plan robustness to implant uncertainties is necessary.