Literature DB >> 21947592

MRI staging after neoadjuvant chemotherapy for breast cancer: does tumor biology affect accuracy?

Kandace P McGuire1, Jorge Toro-Burguete, Hang Dang, Jessica Young, Atilla Soran, Margarita Zuley, Rohit Bhargava, Marguerite Bonaventura, Ronald Johnson, Gretchen Ahrendt.   

Abstract

BACKGROUND: A discrepancy often exists between the post-neoadjuvant chemotherapy (NAC) breast tumor size on magnetic resonance imaging (MRI) and pathologic tumor size. We seek to quantify this MRI/pathology discrepancy and determine if the accuracy of MRI post NAC varies with tumor subtype.
METHODS: The University of Pittsburgh Medical Center (UPMC) Cancer Registry and radiology database were searched for patients with breast cancer who underwent NAC and MRI staging between 2004 and 2009. We compared radiologic to pathologic staging and stratified differences based on tumor biology using univariate, multivariate, and receiver operating characteristic (ROC) analysis.
RESULTS: Two hundred three of 592 patients undergoing surgery after NAC for breast cancer had MRI staging pre and post chemotherapy. All patients had intact tumors prior to the initiation of chemotherapy. Average tumor size by MRI was 4.0 cm pre chemotherapy and 1.2 cm post chemotherapy. The average pathologic tumor size was 1.7 cm (range 0-13 cm). The difference between MRI and pathologic tumor size was greatest in luminal (1.1 cm) and least in triple-negative (TN) and human epidermal growth factor receptor 2 (HER2)-positive tumors (<0.1 cm) (p = 0.015). MRI was a good discriminator for pathologic complete response (pCR) [area under the curve (AUC) 0.777]. Its predictive value for pCR was much greater in TN and estrogen receptor(ER)-/HER2+ than in luminal tumors (73.6 vs. 27.3%).
CONCLUSIONS: MRI is an effective tool for predicting response to NAC. The accuracy of MRI in estimating postchemotherapy tumor size varies with tumor subtype. It is highest in ER-/HER2+ and TN and lowest in luminal tumors. Knowledge of how tumor subtype affects MRI accuracy can guide recommendations for surgery following NAC.

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Year:  2011        PMID: 21947592     DOI: 10.1245/s10434-011-1912-z

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  35 in total

1.  Quantitative DCE-MRI for prediction of pathological complete response following neoadjuvant treatment for locally advanced breast cancer: the impact of breast cancer subtypes on the diagnostic accuracy.

Authors:  Stylianos Drisis; Thierry Metens; Michael Ignatiadis; Konstantinos Stathopoulos; Shih-Li Chao; Marc Lemort
Journal:  Eur Radiol       Date:  2015-08-27       Impact factor: 5.315

2.  Residual Disease after Neoadjuvant Therapy for Breast Cancer: Can MRI Help?

Authors:  Nola M Hylton
Journal:  Radiology       Date:  2018-08-28       Impact factor: 11.105

3.  MRI and ¹⁸F-FDG PET/CT in monitoring the response to neoadjuvant chemotherapy: is it necessary to appropriately select the patients?

Authors:  Laura Evangelista; Domenico Ruggieri; Luigi Pescarini; Giorgio Saladini
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-08       Impact factor: 9.236

4.  Dynamic Contrast-Enhanced MRI Evaluation of Pathologic Complete Response in Human Epidermal Growth Factor Receptor 2 (HER2)-Positive Breast Cancer After HER2-Targeted Therapy.

Authors:  Laura Heacock; Alana Lewin; Abimbola Ayoola; Melanie Moccaldi; James S Babb; Sungheon G Kim; Linda Moy
Journal:  Acad Radiol       Date:  2019-08-20       Impact factor: 3.173

5.  Histogram analysis of apparent diffusion coefficients after neoadjuvant chemotherapy in breast cancer.

Authors:  Yun Ju Kim; Sung Hun Kim; Ah Won Lee; Min-Sun Jin; Bong Joo Kang; Byung Joo Song
Journal:  Jpn J Radiol       Date:  2016-08-12       Impact factor: 2.374

6.  MRI does not predict pathologic complete response after neoadjuvant chemotherapy for breast cancer.

Authors:  Stephen F Sener; Rachel E Sargent; Connie Lee; Tejas Manchandia; Vivian Le-Tran; Yuliya Olimpiadi; Nicole Zaremba; Andrew Alabd; Maria Nelson; Julie E Lang
Journal:  J Surg Oncol       Date:  2019-08-09       Impact factor: 3.454

7.  Monitoring Serum VEGF in Neoadjuvant Chemotherapy for Patients with Triple-Negative Breast Cancer: A New Strategy for Early Prediction of Treatment Response and Patient Survival.

Authors:  Ruo-Xi Wang; Sheng Chen; Liang Huang; Ying Zhou; Zhi-Ming Shao
Journal:  Oncologist       Date:  2018-08-20

8.  Analysis of complete response by MRI following neoadjuvant chemotherapy predicts pathological tumor responses differently for molecular subtypes of breast cancer.

Authors:  Yuji Hayashi; Hiroyuki Takei; Satoshi Nozu; Yoshihiro Tochigi; Akihiro Ichikawa; Naoki Kobayashi; Masafumi Kurosumi; Kenichi Inoue; Takashi Yoshida; Shigenori E Nagai; Hanako Oba; Toshio Tabei; Jun Horiguchi; Izumi Takeyoshi
Journal:  Oncol Lett       Date:  2012-10-30       Impact factor: 2.967

9.  Surgical patterns of care in patients with invasive breast cancer treated with neoadjuvant systemic therapy and breast magnetic resonance imaging: results of a secondary analysis of TBCRC 017.

Authors:  Kandace P McGuire; E Shelley Hwang; Alan Cantor; Mehra Golshan; Funda Meric-Bernstam; Janet K Horton; Rita Nanda; Keith D Amos; Andres Forero; Cliff A Hudis; Ingrid Meszoely; Jennifer F De Los Santos
Journal:  Ann Surg Oncol       Date:  2014-07-25       Impact factor: 5.344

Review 10.  Paradigm shift in the local treatment of breast cancer: mastectomy to breast conservation surgery.

Authors:  Kowsi Murugappan; Apoorva Saboo; Lu Kuo; Owen Ung
Journal:  Gland Surg       Date:  2018-12
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