Literature DB >> 17449193

Role of dynamic magnetic resonance imaging in the evaluation of tumor response to preoperative concurrent radiochemotherapy for large breast cancers: a prospective phase II study.

Marc A Bollet1, Fabienne Thibault, Kim Bouillon, Martine Meunier, Brigitte Sigal-Zafrani, Alexia Savignoni, Véronique Diéras, Claude Nos, Rémy Salmon, Alain Fourquet.   

Abstract

PURPOSE: To evaluate the accuracy of clinical examination and of three imaging modalities (ultrasound [US] scan, mammography, and magnetic resonance imaging [MRI]) to assess the tumor response of breast cancer to a preoperative regimen of concurrent radiochemotherapy for large breast cancers, using pathologic data as the reference. METHODS AND MATERIALS: Sixty women were accrued. Treatment consisted of 4 cycles of (5-fluorouracil-vinorelbine) chemotherapy with, starting with the second cycle of chemotherapy, locoregional radiotherapy to the breast and the internal mammary and supraclavicular and infraclavicular lymph nodes. Breast surgery and axillary lymph node dissection were subsequently performed. Breast imaging assessments were performed both before chemotherapy and preoperatively.
RESULTS: The correlation coefficients between tumor dimension at imaging and pathology were statistically significant for US scan (r = 0.4; p = 0.006) and MRI (r = 0.4; p = 0.004) but not for clinical examination (r = 0.2; p = 0.16) or mammography (r = -0.15; p = 0.31). Furthermore, the area under the receiver operating characteristic curve for MRI was 0.81, compared with 0.67 for US scan. At the optimal threshold score, MRI performed with 81% sensitivity and 75% specificity.
CONCLUSION: Compared with clinical examination, US scan, or mammography, MRI substantially improved the prediction of pathologic tumor response to preoperative concurrent radiochemotherapy for large breast cancers.

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Year:  2007        PMID: 17449193     DOI: 10.1016/j.ijrobp.2007.02.020

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  6 in total

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Authors:  Robert E Lee; E Brian Welch; Jared G Cobb; Tuhin Sinha; John C Gore; Thomas E Yankeelov
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2.  Prediction of pathologic complete response on MRI in patients with breast cancer receiving neoadjuvant chemotherapy according to molecular subtypes.

Authors:  Jieun Kim; Boo-Kyung Han; Eun Young Ko; Eun Sook Ko; Ji Soo Choi; Ko Woon Park
Journal:  Eur Radiol       Date:  2022-01-06       Impact factor: 5.315

3.  NEO adjuvant chemotherapy in breast cancer: What have we learned so far?

Authors:  Nirmal V Raut; Nilesh Chordiya
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4.  High rates of breast conservation for large ductal and lobular invasive carcinomas combining multimodality strategies.

Authors:  M A Bollet; A Savignoni; J-Y Pierga; M Lae; V Fourchotte; Y M Kirova; R Dendale; F Campana; B Sigal-Zafrani; R Salmon; A Fourquet; A Vincent-Salomon
Journal:  Br J Cancer       Date:  2008-02-05       Impact factor: 7.640

5.  Agreement between MRI and pathologic breast tumor size after neoadjuvant chemotherapy, and comparison with alternative tests: individual patient data meta-analysis.

Authors:  Michael L Marinovich; Petra Macaskill; Les Irwig; Francesco Sardanelli; Eleftherios Mamounas; Gunter von Minckwitz; Valentina Guarneri; Savannah C Partridge; Frances C Wright; Jae Hyuck Choi; Madhumita Bhattacharyya; Laura Martincich; Eren Yeh; Viviana Londero; Nehmat Houssami
Journal:  BMC Cancer       Date:  2015-10-08       Impact factor: 4.430

Review 6.  Meta-analysis of agreement between MRI and pathologic breast tumour size after neoadjuvant chemotherapy.

Authors:  M L Marinovich; P Macaskill; L Irwig; F Sardanelli; G von Minckwitz; E Mamounas; M Brennan; S Ciatto; N Houssami
Journal:  Br J Cancer       Date:  2013-08-20       Impact factor: 7.640

  6 in total

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