Literature DB >> 12611457

Monitoring the size and response of locally advanced breast cancers to neoadjuvant chemotherapy (weekly paclitaxel and epirubicin) with serial enhanced MRI.

Yun-Chung Cheung1, Shih-Cheh Chen, Min-Ying Su, Lai-Chu See, Swei Hsueh, Hsien-Kun Chang, Yung-Chang Lin, Chien-Sheng Tsai.   

Abstract

PURPOSE: To determine if early cancer size reduction seen on enhanced magnetic resonance imaging (MRI) can serve as a response predictor and to correlate final tumor sizes on MRI and excised gross tumor size to microscopic findings in patients with locally advanced breast cancers treated with preoperative neoadjuvant chemotherapy. METHODS AND MATERIALS: Thirty-three patients with advanced breast cancer entered this prospective chemotherapeutic study. Serial, dynamic, enhanced MRI was performed before chemotherapy induction, after the first course of chemotherapy and after the third course of chemotherapy prior to surgery. Responses were measured by image subtraction of tumor size on subsequent axial MRIs using the response evaluation criteria in solid tumors (RECIST). Early tumor size reduction, percentage of relative early tumor size reduction and final tumor size response were calculated and analyzed statistically. Sizes of residual tumors measured on MRI and gross tumors in excised breasts were correlated with microscopic findings.
RESULTS: Based on tumor sizes measured with enhanced MRI, four complete responders (CR), 19 partial responders (PR) and 10 non-responder were documented. Twelve (52%) of the 23 responders (CR and PR)had reached the criteria for PR (> or = 30% size reduction) after the first course of chemotherapy. All CR had a marked early size reduction (ESR) of more than 45%. Using the receiver operating characteristic (ROC) curve, a good cutoff point for early tumor size reduction was 7.4 cm, with a false positive rate of 0.1 and a false negative rate of 0.13. The percentage of ESR was 8.8%, with a false positive rate of 0.1 and a false negative rate of 0.09. Residual tumor size on MRI correlated well with microscopic findings (r = 0.982, p < 0.001) and gross tumor size in excised breasts correlated moderately with microscopic findings (r = 0.640, p < 0.001).
CONCLUSION: Serial, dynamic, enhanced MRI monitoring of chemotherapeutic response in patients with locally advanced breast cancer can be used to assess early response to chemotherapy and post-chemotherapy tumor size change. Although the residual tumor size on MRI correlated well with the microscopic findings, surgical determination of residual cancer load is still recommended to avoid underestimation.

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Year:  2003        PMID: 12611457     DOI: 10.1023/a:1022153327339

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  38 in total

1.  Multiparametric magnetic resonance imaging for predicting pathological response after the first cycle of neoadjuvant chemotherapy in breast cancer.

Authors:  Xia Li; Richard G Abramson; Lori R Arlinghaus; Hakmook Kang; Anuradha Bapsi Chakravarthy; Vandana G Abramson; Jaime Farley; Ingrid A Mayer; Mark C Kelley; Ingrid M Meszoely; Julie Means-Powell; Ana M Grau; Melinda Sanders; Thomas E Yankeelov
Journal:  Invest Radiol       Date:  2015-04       Impact factor: 6.016

Review 2.  Measuring response to chemotherapy in locally advanced breast cancer: methodological considerations.

Authors:  Nanda C Krak; Otto S Hoekstra; Adriaan A Lammertsma
Journal:  Eur J Nucl Med Mol Imaging       Date:  2004-04-22       Impact factor: 9.236

3.  Dynamic contrast-enhanced MRI and sonography in patients receiving primary chemotherapy for breast cancer.

Authors:  Filippo Montemurro; Laura Martincich; Giovanni De Rosa; Stefano Cirillo; Vincenzo Marra; Nicoletta Biglia; Marco Gatti; Piero Sismondi; Massimo Aglietta; Daniele Regge
Journal:  Eur Radiol       Date:  2005-01-27       Impact factor: 5.315

4.  Early therapy evaluation of combined cetuximab and irinotecan in orthotopic pancreatic tumor xenografts by dynamic contrast-enhanced magnetic resonance imaging.

Authors:  Hyunki Kim; Karri D Folks; Lingling Guo; Jeffery C Sellers; Naomi S Fineberg; Cecil R Stockard; William E Grizzle; Donald J Buchsbaum; Desiree E Morgan; James F George; Kurt R Zinn
Journal:  Mol Imaging       Date:  2011-06       Impact factor: 4.488

5.  Prognostic imaging in neoadjuvant chemotherapy of locally-advanced breast cancer should be cost-effective.

Authors:  Marc Schegerin; Anna N A Tosteson; Peter A Kaufman; Keith D Paulsen; Brian W Pogue
Journal:  Breast Cancer Res Treat       Date:  2008-04-25       Impact factor: 4.872

6.  Magnetic resonance imaging as a predictor of pathologic response in patients treated with neoadjuvant systemic treatment for operable breast cancer. Translational Breast Cancer Research Consortium trial 017.

Authors:  Jennifer F De Los Santos; Alan Cantor; Keith D Amos; Andres Forero; Mehra Golshan; Janet K Horton; Clifford A Hudis; Nola M Hylton; Kandace McGuire; Funda Meric-Bernstam; Ingrid M Meszoely; Rita Nanda; E Shelley Hwang
Journal:  Cancer       Date:  2013-02-21       Impact factor: 6.860

Review 7.  Pre-treatment differences and early response monitoring of neoadjuvant chemotherapy in breast cancer patients using magnetic resonance imaging: a systematic review.

Authors:  R Prevos; M L Smidt; V C G Tjan-Heijnen; M van Goethem; R G Beets-Tan; J E Wildberger; M B I Lobbes
Journal:  Eur Radiol       Date:  2012-09-16       Impact factor: 5.315

8.  Analyzing Spatial Heterogeneity in DCE- and DW-MRI Parametric Maps to Optimize Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer.

Authors:  Xia Li; Hakmook Kang; Lori R Arlinghaus; Richard G Abramson; A Bapsi Chakravarthy; Vandana G Abramson; Jaime Farley; Melinda Sanders; Thomas E Yankeelov
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

9.  Current and future trends in magnetic resonance imaging assessments of the response of breast tumors to neoadjuvant chemotherapy.

Authors:  Lori R Arlinghaus; Xia Li; Mia Levy; David Smith; E Brian Welch; John C Gore; Thomas E Yankeelov
Journal:  J Oncol       Date:  2010-09-29       Impact factor: 4.375

10.  Current and emerging quantitative magnetic resonance imaging methods for assessing and predicting the response of breast cancer to neoadjuvant therapy.

Authors:  Richard G Abramson; Lori R Arlinghaus; Jared A Weis; Xia Li; Adrienne N Dula; Eduard Y Chekmenev; Seth A Smith; Michael I Miga; Vandana G Abramson; Thomas E Yankeelov
Journal:  Breast Cancer (Dove Med Press)       Date:  2012-10
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