scholarly journals Nonoperative Management for Invasive Breast Cancer After Neoadjuvant Systemic Therapy: Conceptual Basis and Fundamental International Feasibility Clinical Trials

2017 ◽  
Vol 24 (10) ◽  
pp. 2855-2862 ◽  
Author(s):  
Henry M. Kuerer ◽  
Marie-Jeanne T. F. D. Vrancken Peeters ◽  
Daniel W. Rea ◽  
Mark Basik ◽  
Jennifer De Los Santos ◽  
...  
2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 521-521
Author(s):  
C. Kurzeder ◽  
J. König ◽  
A. Woeckel ◽  
G. Sauer ◽  
M. Wischnewsky ◽  
...  

521 Background: Over the past two decades significant progress in treatment of early breast cancer has been accomplished through well designed, clinical trials (CTs). It has been hypothesized that trial participation could also be beneficial for the individual breast cancer patient. The BRENDA study group has been analysing quality of care provided by one university based and 16 regional breast cancer centers in south germany. In this study we investigated the impact of study participation on survival in an unselected clinical cohort of early stage breast cancer patients. Methods: The study population includes 5,966 patients who received primary therapy for early breast cancer between 1992 and 2005. Influence on survival by study participation was calculated by Cox proportional hazard analyses. Model adjustments include prognostic factors, type of treatment, age, risk group and time period. Guideline compliant treatment was assessed based on the St Gallen expert consensus recommendations and the German national S3 Guidelines. Results: A total of 738 patients (12%) received adjuvant (n = 552) or neoadjuvant (n = 186) systemic therapy within one out of 42 registered prospective multicenter phase II or III clinical trials. For patients not receiving neoadjuvant systemic therapy trial participation was associated with improved overall and disease free survival (hazard ratio [HR] = 0.75, 95% confidence interval [CI] 0.57–0.99, HR = 0.78, CI 0.63 - 0.97, respectively). The calculated effect was of similar magnitude after additional adjustment for co-existing morbidity of patients. Descriptional analysis revealed that guideline violations for locoregional or systemic treatment were more frequently found in patients receiving adjuvant treatment outside CTs. No significant effect on survival was calculated for 183 patients receiving neoadjuvant systemic therapy within CT protocols. Conclusions: In our study population participation in prospective clinical trials for adjuvant systemic therapy was associated with improved survival irrespective of treatment actually given. Intrinsic mechanisms within the framework of clinical trials can improve quality of breast cancer patient care. No significant financial relationships to disclose.


2019 ◽  
Vol 26 (10) ◽  
pp. 3071-3079 ◽  
Author(s):  
Susie Sun ◽  
Raquel F. D. van la Parra ◽  
Gaiane M. Rauch ◽  
Christina Checka ◽  
Audree B. Tadros ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 2447
Author(s):  
Renée W. Y. Granzier ◽  
Abdalla Ibrahim ◽  
Sergey P. Primakov ◽  
Sanaz Samiei ◽  
Thiemo J. A. van Nijnatten ◽  
...  

This retrospective study investigated the value of pretreatment contrast-enhanced Magnetic Resonance Imaging (MRI)-based radiomics for the prediction of pathologic complete tumor response to neoadjuvant systemic therapy in breast cancer patients. A total of 292 breast cancer patients, with 320 tumors, who were treated with neo-adjuvant systemic therapy and underwent a pretreatment MRI exam were enrolled. As the data were collected in two different hospitals with five different MRI scanners and varying acquisition protocols, three different strategies to split training and validation datasets were used. Radiomics, clinical, and combined models were developed using random forest classifiers in each strategy. The analysis of radiomics features had no added value in predicting pathologic complete tumor response to neoadjuvant systemic therapy in breast cancer patients compared with the clinical models, nor did the combined models perform significantly better than the clinical models. Further, the radiomics features selected for the models and their performance differed with and within the different strategies. Due to previous and current work, we tentatively attribute the lack of improvement in clinical models following the addition of radiomics to the effects of variations in acquisition and reconstruction parameters. The lack of reproducibility data (i.e., test-retest or similar) meant that this effect could not be analyzed. These results indicate the need for reproducibility studies to preselect reproducible features in order to properly assess the potential of radiomics.


Author(s):  
Leisha C. Elmore ◽  
Henry M. Kuerer ◽  
Carlos H. Barcenas ◽  
Benjamin D. Smith ◽  
Makesha V. Miggins ◽  
...  

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