Literature DB >> 12951551

Role of Magnetic Resonance Imaging in the prediction of tumor response in patients with locally advanced breast cancer receiving neoadjuvant chemo-therapy.

Laura Martincich1, Filippo Montemurro, Stefano Cirillo, Vincenzo Marra, Giovanni De Rosa, Riccardo Ponzone, Massimo Aglietta, Daniele Regge.   

Abstract

PURPOSE: To evaluate if dynamic contrast enhanced magnetic resonance can predict the tumoural response in patients with breast cancer undergoing neoadjuvant chemotherapy.
MATERIALS AND METHODS: Twenty-six patients with biopsy-proven locally advanced breast cancer underwent taxane-based neoadjuvant chemotherapy followed by radical surgery. MRI evaluations were carried out at baseline, after two of the four planned cycles of chemotherapy, and before surgical treatment. MR images, obtained with 1.5 T scanner and using dedicated surface multichannel coil (GEMS), were acquired by 3D SPGR sequences on the coronal plane before and after intravenous administration of gadolinium chelate by an automatic injector. The percent reduction of the early contrast uptake between the baseline and the second MRI was then calculated for every lesion and correlated with the outcome of interest (pCR).
RESULTS: At baseline, we identified 26 lesions and two patterns of MRI enhancement: homogeneous (group 1, 14 patients) and peripheral ring-like (group 2, 12 patients). At surgery, pathological complete response was observed in 4 patients (2 patients group 1, 2 patients group 2). In group 1, the 2 cases of pCR showed a gs;70% reduction in the early contrast uptake between baseline examination and after two cycles of chemotherapy, whereas values <70% were seen in 12 cases of partial response (p=0.02). In group 2, the 2 cases of pCR showed a gs; 40% reduction in the early contrast uptake whereas all of the 10 cases of partial response had <40% reduction (p=0.02).
CONCLUSIONS: In our series, the percent reduction in the early contrast uptake after two cycles of neoadjuvant chemotherapy was predictive of the achievement of a pathological complete response. However, we identified two distinct morphologic patterns associated with different cut-offs in the predictive value of the early contrast uptake reduction between baseline and intermediate examination.

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Year:  2003        PMID: 12951551

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  7 in total

1.  Neoadjuvant chemotherapy for breast cancer: correlation between the baseline MR imaging findings and responses to therapy.

Authors:  Takayoshi Uematsu; Masako Kasami; Sachiko Yuen
Journal:  Eur Radiol       Date:  2010-05-09       Impact factor: 5.315

2.  Inflammatory breast carcinoma and locally advanced breast carcinoma: characterisation with MR imaging.

Authors:  V Girardi; G Carbognin; L Camera; F Bonetti; E Manfrin; G Pollini; R Pozzi Mucelli
Journal:  Radiol Med       Date:  2010-10-06       Impact factor: 3.469

3.  Diffusion-weighted MRI in pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer.

Authors:  Raphael Richard; Isabelle Thomassin; Marion Chapellier; Aurélie Scemama; Patricia de Cremoux; Mariana Varna; Sylvie Giacchetti; Marc Espié; Eric de Kerviler; Cedric de Bazelaire
Journal:  Eur Radiol       Date:  2013-05-08       Impact factor: 5.315

4.  Inflammatory breast cancer after neoadjuvant chemotherapy: can magnetic resonance imaging precisely diagnose the final pathological response?

Authors:  J-H Chen; R S Mehta; O Nalcioglu; M-Y Su
Journal:  Ann Surg Oncol       Date:  2008-09-19       Impact factor: 5.344

5.  Prediction of pathological complete response of breast cancer patients undergoing neoadjuvant chemotherapy: usefulness of breast MRI computer-aided detection.

Authors:  H Kim; H H Kim; J S Park; H J Shin; J H Cha; E Y Chae; W J Choi
Journal:  Br J Radiol       Date:  2014-08-27       Impact factor: 3.039

6.  Diagnostic investigation of breast magnetic resonance imaging in malignant and benign mass lesions.

Authors:  Masoumeh Gity; Ali Arabkheradmand; Elham Taheri; Madjid Shakiba
Journal:  Arch Med Sci       Date:  2016-09-12       Impact factor: 3.318

7.  Magnetization Transfer MRI of Breast Cancer in the Community Setting: Reproducibility and Preliminary Results in Neoadjuvant Therapy.

Authors:  John Virostko; Anna G Sorace; Chengyue Wu; David Ekrut; Angela M Jarrett; Raghave M Upadhyaya; Sarah Avery; Debra Patt; Boone Goodgame; Thomas E Yankeelov
Journal:  Tomography       Date:  2019-03
  7 in total

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