Literature DB >> 14997056

Monitoring response to primary chemotherapy in breast cancer using dynamic contrast-enhanced magnetic resonance imaging.

Laura Martincich1, Filippo Montemurro, Giovanni De Rosa, Vincenzo Marra, Riccardo Ponzone, Stefano Cirillo, Marco Gatti, Nicoletta Biglia, Ivana Sarotto, Piero Sismondi, Daniele Regge, Massimo Aglietta.   

Abstract

PURPOSE: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) allows analysis of both tumor volume and contrast enhancement pattern using a single tool. We sought to investigate whether DCE-MRI could be used to predict histological response in patients undergoing primary chemotherapy (PCT) for breast cancer. PATIENTS AND METHODS: Thirty patients with breast cancer, clinical diameter > 3 cm or stage III A/B, received anthracycline and taxane based PCT. DCE-MRI was performed at the baseline, after two cycles and after four cycles of PCT, before surgery. Histological response was assessed using a five-point scheme. Grade 4 (small cluster of dispersed residual cancer cells) and grade 5 (no residual viable cancer cell) were defined as a major histopathological response (MHR).
RESULTS: Univariate analysis showed that a > 65% reduction in the tumor volume and a reduction in the early enhancement ratio (ECU) after two cycles of PCT were associated with a MHR. Multivariate analysis revealed that tumor volume reduction after two cycles of PCT was independently associated with a MHR (odds ratio [OR] 39.968, 95% confidence interval [CI] 3.438-464.962, p < 0.01). ECU reduction was still associated with a MHR (OR 2.50, 95% CI 0.263-23.775), but it did not retain statistical significance (p = 0.42). Combining tumor volume and ECU reduction after two cycles of PCT yielded a 93% diagnostic accuracy in identifying tumors achieving a pathological complete response (pCR) (histopathological grade 5).
CONCLUSIONS: DCE-MRI allows prediction of the effect of neoadjuvant chemotherapy in breast cancer. Although in our study tumor volume reduction after two cycles had the strongest predictive value, DCE-MRI has the potential to provide functional parameters that could be integrated to optimize neoadjuvant chemotherapy strategies.

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Year:  2004        PMID: 14997056     DOI: 10.1023/B:BREA.0000010700.11092.f4

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


  67 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

2.  Comparison of mammography, sonography, MRI and clinical examination in patients with locally advanced or inflammatory breast cancer who underwent neoadjuvant chemotherapy.

Authors:  H J Shin; H H Kim; J H Ahn; S-B Kim; K H Jung; G Gong; B H Son; S H Ahn
Journal:  Br J Radiol       Date:  2010-11-16       Impact factor: 3.039

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.  Indications for breast magnetic resonance imaging. Consensus document "Attualità in senologia", Florence 2007.

Authors:  F Sardanelli; G M Giuseppetti; G Canavese; L Cataliotti; S Corcione; E Cossu; M Federico; L Marotti; L Martincich; P Panizza; F Podo; M Rosselli Del Turco; C Zuiani; C Alfano; M Bazzocchi; P Belli; S Bianchi; A Cilotti; M Calabrese; L Carbonaro; L Cortesi; C Di Maggio; A Del Maschio; A Esseridou; A Fausto; M Gennaro; R Girometti; R Ienzi; A Luini; S Manoukian; S Morassutt; D Morrone; J Nori; A Orlacchio; F Pane; P Panzarola; R Ponzone; G Simonetti; P Torricelli; G Valeri
Journal:  Radiol Med       Date:  2008-10-16       Impact factor: 3.469

6.  Multi-slice DCE-MRI data using P760 distinguishes between metastatic and non-metastatic rodent prostate tumors.

Authors:  Xiaobing Fan; Milica Medved; Sean Foxley; Jonathan N River; Marta Zamora; Gregory S Karczmar; Claire Corot; Philippe Robert; Philippe Bourrinet
Journal:  MAGMA       Date:  2006-01-17       Impact factor: 2.310

7.  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

8.  Comparison of the diagnostic performance of response evaluation criteria in solid tumor 1.0 with response evaluation criteria in solid tumor 1.1 on MRI in advanced breast cancer response evaluation to neoadjuvant chemotherapy.

Authors:  Su Kyung Jeh; Sung Hun Kim; Bong Joo Kang
Journal:  Korean J Radiol       Date:  2012-12-28       Impact factor: 3.500

9.  Noninvasive monitoring of breast cancer during neoadjuvant chemotherapy using optical tomography with ultrasound localization.

Authors:  Quing Zhu; Susan Tannenbaum; Poornima Hegde; Mark Kane; Chen Xu; Scott H Kurtzman
Journal:  Neoplasia       Date:  2008-10       Impact factor: 5.715

Review 10.  Multiparametric MR Imaging of Breast Cancer.

Authors:  Habib Rahbar; Savannah C Partridge
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

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