Literature DB >> 27798904

Breast Cancer Subtype Influences the Accuracy of Predicting Pathologic Response by Imaging and Clinical Breast Exam After Neoadjuvant Chemotherapy.

Ashley R Waldrep1, Eric J Avery2, Ferrill F Rose1, Madhu V Midathada2, Joni A Tilford2, Hans-Christian Kolberg3, Mark R Hutchins4.   

Abstract

BACKGROUND/AIM: Clinical response evaluation after neoadjuvant chemotherapy (NACT) for breast cancer could include various imaging methods, as well as clinical breast exam (CBE). We assessed the accuracy of CBE and imaging to predict pathologic response after NACT administration according to breast cancer subtype. PATIENTS AND METHODS: This retrospective cohort study included 84 patients with records of NACT and subsequent primary breast surgery from 2003-2013. Patients were divided into 4 breast cancer subtypes according to hormone receptor (HR) status and human epidermal growth factor receptor-2 (HER2) status. Negative predictive value (NPV), false-negative rate (FNR), false-positive rate (FPR) and positive predictive value (PPV) were calculated for CBE and imaging post-NACT and prior to breast cancer surgery.
RESULTS: NPV, FNR, FPR and PPV varied by breast cancer subtype and clinical response evaluation method. Imaging resulted in a higher NPV and a lower FNR than CBE among the entire cohort. There was a lower FPR with CBE. Clinical response evaluation by CBE was highly accurate for predicting pathologic residual disease in HR+ tumors (CBE PPV: 95.5% in HR+HER2-, 100.0% in HR+HER2+). In triple-negative breast cancer (TNBC), the imaging NPV was 100% and the imaging FNR was 0%.
CONCLUSION: The use of imaging in HR+ tumors post-NACT may provide little to no additional value that is not already garnered by performance of a CBE. For TNBC, imaging may play a critical role in the prediction of pathologic complete response (pCR) post-NACT. Copyright
© 2016 International Institute of Anticancer Research (Dr. John G. Delinassios), All rights reserved.

Entities:  

Keywords:  Breast cancer subtype; clinical complete response; neoadjuvant chemotherapy; pathologic complete response

Mesh:

Substances:

Year:  2016        PMID: 27798904     DOI: 10.21873/anticanres.11114

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  3 in total

1.  Preliminary Results from a Prospective Study Comparing White Blood Cell and Neutrophil Counts from a Laboratory to Those Measured with a New Device in Patients with Breast Cancer.

Authors:  Anna C Lohman; Ingrid VAN Rijn; Christina L Lindhardt; Reinhard Vonthein; Dirk Rades; Niels Henrik Holländer
Journal:  In Vivo       Date:  2018 Sep-Oct       Impact factor: 2.155

2.  Identifying Methylation Pattern and Genes Associated with Breast Cancer Subtypes.

Authors:  Lei Chen; Tao Zeng; Xiaoyong Pan; Yu-Hang Zhang; Tao Huang; Yu-Dong Cai
Journal:  Int J Mol Sci       Date:  2019-08-31       Impact factor: 5.923

Review 3.  Assessment and Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer: A Comparison of Imaging Modalities and Future Perspectives.

Authors:  Valeria Romeo; Giuseppe Accardo; Teresa Perillo; Luca Basso; Nunzia Garbino; Emanuele Nicolai; Simone Maurea; Marco Salvatore
Journal:  Cancers (Basel)       Date:  2021-07-14       Impact factor: 6.639

  3 in total

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