Background The majority of patients with non-metastatic breast cancer will undergo surgery. This involves complex decisions that inevitably increase time from diagnosis to surgery beyond the currently recommended 30 days. This study aims to analyse factors that increase time to surgery and establish whether it is justifiable in the context of improved individualised breast cancer management. Methods A retrospective analysis of all patients at Austin Health surgically managed for non-metastatic invasive breast carcinoma between 2013 and 2019 was conducted. Time to surgery (TTS) was defined as time between informed diagnosis and cancer surgery. The patients were grouped into TTS groups of B30 days and [30 days. Kaplan-Meier survival analysis and Cox proportional hazards regression model were used to evaluate the impact of time interval between diagnosis and surgery. Results Seven hundred and thirty-one patients were included in our TTS analysis, only half of this cohort received surgery within the recommended 30 days. Many of the factors identified to be associated with increased TTS are the key to optimal management. Median follow-up for the cohort was 30 months. Between wait groups of B30 and [30 days, there were no significant association found between TTS and survival outcomes for DFS (HR 1.20 95% CI 0.56-2.60) and OS (HR 1.58 95% CI 0.82-3.03). Conclusion Breast cancer management involves complex factors that significantly increase TTS. Surgery within 30 days of diagnosis is not associated with improved DFS and OS. Outcomes from this study support a revision of current recommendations for TTS in non-metastatic breast cancer care.
Aims-Chromosome llq23 seems to be a site of frequent mutation in cancer. It also contains loci such as ataxia telangiectasia with possible importance in the pathogenesis of breast tumours. The short arm of chromosome 11 has been studied extensively in breast cancer, but the long arm, in particular the distal part, has been studied less frequently. Cytogenetic analysis has shown possible involvement of chromosome llq in breast tumours.
Purpose To determine the diagnostic parameters of breast ultrasound (US) in the setting of routine radiological surveillance after a diagnosis of breast cancer and evaluate costs of the inclusion of breast US as well as any survival benefit of US detected cases of recurrence in surveillance. Methods 622 patients underwent breast cancer surgery and follow up at Austin Health from July 2009 to December 2015. Retrospective data analysis was performed to determine; diagnostic parameters, financial costs of US and survival outcomes of US detected cases of recurrence. Results Patients underwent 1–9 years of breast cancer surveillance, with a median of 4.24 years. 390 (62.7%) patients underwent additional breast US surveillance to mammography. 232 (38.3%) fit criteria for use of additional breast US. 199 abnormal imaging episodes occurred, leading to 16 screen detected-cases of locoregional recurrence. US alone generated 107 abnormal images and found 9 cancers. US had a sensitivity of 44.1%, specificity of 95.2% and positive predictive value of 11.7% in comparison to mammography; 20.6%, 97.4% and 9.9% respectively. US had a biopsy rate of 4.0% and lead to an incremental cancer detection rate of 0.38%. The cost of incremental cancer found was $31,463.72 AUD. Survival outcomes based on method of detection of recurrence were insignificant (p value = 0.71). Conclusions Breast US has a sensitivity of 44.1% and detected seven recurrences that were mammographically occult. Breast US has a similar PPV to mammography in surveillance. Breast US generated considerable biopsy rates and costs. Survival analysis was not able to detect any benefit of US detected cases of recurrence.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.