Abstract P6-01-03: Change of HER2 status following neoadjuvant systemic therapy in primary breast cancer patients

Author(s):  
Atsushi Yoshida ◽  
Naoki Hayashi ◽  
Hiroshi Yagata ◽  
Koyu Suzuki ◽  
Seigo Nakamura ◽  
...  
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 ◽  
...  

Author(s):  
Boris Krastev ◽  
Constanta Timcheva ◽  
Spartak Valev ◽  
Georgi Zhbantov ◽  
Mila Petrova ◽  
...  

2006 ◽  
Vol 98 (2) ◽  
pp. 179-184 ◽  
Author(s):  
Erich F. Solomayer ◽  
Sven Becker ◽  
Graziella Pergola-Becker ◽  
Robert Bachmann ◽  
Bernhard Krämer ◽  
...  

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. TPS593-TPS593 ◽  
Author(s):  
Marieke Van Der Noordaa ◽  
Frederieke van Duijnhoven ◽  
Claudette Loo ◽  
Koen van der Vijver ◽  
Gabe S. Sonke ◽  
...  

TPS593 Background: Improvements in systemic treatments for breast cancer patients has led to increasing rates of pathologic complete response (pCR). In addition, the identification of a pCR has been greatly improved with magnetic resonance imaging (MRI). In patients with a pCR, surgical resection of (part of) the original tumor area is performed to confirm the absence or presence of pCR and is not likely to contribute to locoregional control. With the MICRA trial (Minimally Invasive Complete Response Assessment) we aim to omit breast surgery in breast cancer patients achieving pathologic complete response (pCR) after neoadjuvant systemic therapy (NST) using biopsies, thus preventing overtreatment and improving quality of life. Methods: The MICRA trial is a multi-center observational prospective cohort study. In all breast cancer patients receiving NST, a marker is placed in the center of the tumor area before NST. 440 patients with radiologic complete response or partial response (0.1-2.0 cm residual contrast enhancement, ≥30% decrease in tumor size according to RECIST criteria) on contrast enhanced MRI will be included in the MICRA trial. Patients with hormone receptor positive, triple negative and Human Epidermal growth factor Receptor 2 tumors are eligible. After NST, 8 ultrasound-guided biopsies are obtained in the region surrounding the marker, while the patient is under general anesthesia. Immediately hereafter, breast surgery is performed and pathology results of the biopsies and resected specimens are compared. The primary endpoint is specificity of post-NST biopsies. In addition, sensitivity and positive and negative predictive value will be calculated. We will perform a multivariable analysis using data on MRI and ultrasound findings, pre-NST pathology parameters and post-NST biopsy results to determine what the most reliable method is to assess pCR and how many biopsies are needed for this purpose. Conclusion: With the MICRA-trial we aim to select a group of breast cancer patients in whom surgery of the breast after NST can be omitted, by predicting the presence of a pCR on biopsies. Clinical trial information: NTR6120.


2020 ◽  
Vol 46 (2) ◽  
pp. e23-e24
Author(s):  
Ariane Van Loevezijn ◽  
Gonneke H.A.O. Winter - Warnars ◽  
Marieke E.M. van der Noordaa ◽  
Genevieve S. Hernandez ◽  
Christiaan de Bloeme ◽  
...  

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