Literature DB >> 12038705

Imaging in evaluation of response to neoadjuvant breast cancer treatment benefits of MRI.

C Balu-Maestro1, C Chapellier, A Bleuse, I Chanalet, C Chauvel, R Largillier.   

Abstract

PURPOSE: To compare the value of conventional imaging modalities and MRI for determination of response to neoadjuvant chemotherapy for breast cancer.
MATERIAL AND METHODS: Sixty tumors (53 ductal carcinomas, seven invasive lobular carcinomas) in 51 patients were evaluated by physical examination, mammography, ultrasound, and MRI at baseline before therapy, after three courses of chemotherapy, and after six courses prior to surgery. Data from physical examination and imaging studies were compared to histopathological findings.
RESULTS: (i) MRI was the most reliable technique for evaluation of residual tumor size; this parameter was correctly estimated in 63% of cases by MRI versus, respectively 52, 38, and 43% by physical examination, mammography, and ultrasound, (ii) MRI correctly identified the response to chemotherapy in all cases of complete response (five cases), and in 45/55 cases of partial response (43 cases) or no response (12 cases), and (iii) among the 32 patients who underwent a mastectomy, MRI correctly revealed the multifocal nature of the disease for 12/15 multifocal lesions found at histological examination; both mammography and sonography were accurate in only six of the 15 cases.
CONCLUSION: MRI appears to be a valuable technique for assessment of response to chemotherapy and identification of multifocal disease prior to surgery.

Entities:  

Mesh:

Year:  2002        PMID: 12038705     DOI: 10.1023/a:1014856713942

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


  42 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.  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

Review 3.  Neoadjuvant therapy for breast cancer: assessing treatment progress and managing poor responders.

Authors:  Robert Wesolowski; Georg Thomas Budd
Journal:  Curr Oncol Rep       Date:  2009-01       Impact factor: 5.075

Review 4.  Incorporating new imaging models in breast cancer management.

Authors:  Denise H Reddy; Ellen B Mendelson
Journal:  Curr Treat Options Oncol       Date:  2005-03

5.  MRI and Prediction of Pathologic Complete Response in the Breast and Axilla after Neoadjuvant Chemotherapy for Breast Cancer.

Authors:  Joseph J Weber; Maxine S Jochelson; Anne Eaton; Emily C Zabor; Andrea V Barrio; Mary L Gemignani; Melissa Pilewskie; Kimberly J Van Zee; Monica Morrow; Mahmoud El-Tamer
Journal:  J Am Coll Surg       Date:  2017-09-15       Impact factor: 6.113

6.  [Therapy monitoring of neoadjuvant therapy with MRI. RECIST and functional imaging].

Authors:  S Grandl; M Ingrisch; K Hellerhoff
Journal:  Radiologe       Date:  2014-03       Impact factor: 0.635

7.  Multiparametric monitoring of tumor response to chemotherapy by noninvasive imaging.

Authors:  Zdravka Medarova; Leonid Rashkovetsky; Pamela Pantazopoulos; Anna Moore
Journal:  Cancer Res       Date:  2009-01-13       Impact factor: 12.701

8.  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

9.  Predicting pathologic response to neoadjuvant chemotherapy in breast cancer by using MR imaging and quantitative 1H MR spectroscopy.

Authors:  Hyeon-Man Baek; Jeon-Hor Chen; Ke Nie; Hon J Yu; Shadfar Bahri; Rita S Mehta; Orhan Nalcioglu; Min-Ying Su
Journal:  Radiology       Date:  2009-03-10       Impact factor: 11.105

10.  Diffusion-weighted magnetic resonance imaging for assessment after neoadjuvant chemotherapy in breast cancer, based on morphological concepts.

Authors:  Yoriko Murata; Kei Kubota; Norihiko Hamada; Kana Miyatake; Michiko Tadokoro; Kimiko Nakatani; Hironobu Ue; Kazuhiro Tsuzuki; Akihito Nishioka; Mitsuko Iguchi; Hironobu Maeda; Yasuhiro Ogawa
Journal:  Oncol Lett       Date:  2010-03-01       Impact factor: 2.967

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