Literature DB >> 16733676

Monitoring therapeutic efficacy in breast carcinomas.

Anne A Tardivon1, Liliane Ollivier, Carl El Khoury, Fabienne Thibault.   

Abstract

The aim of imaging during and after neoadjuvant therapy is to document and quantify tumor response: has the tumor size been accurately measured? Certainly, the most exciting information for the oncologists is: can we identify good or nonresponders, and can we predict the pathological response early after the initiation of treatment? This review article will discuss the role and the performance of the different imaging modalities (mammography, ultrasound, magnetic resonance imaging and FDG-PET imaging) for evaluating this therapeutic response. It is important to emphasize that, at this time, clinical examination and conventional imaging (mammography and ultrasound) are the only methods recognized by the international criteria. Magnetic resonance imaging and FDG-PET imaging are very promising for predicting the response early after the initiation of neoadjuvant chemotherapy.

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Year:  2006        PMID: 16733676     DOI: 10.1007/s00330-006-0317-z

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   7.034


  69 in total

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Journal:  Radiology       Date:  2004-11       Impact factor: 11.105

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Journal:  Eur Radiol       Date:  2002-09-05       Impact factor: 5.315

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  15 in total

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Review 3.  Diffuse optical imaging using spatially and temporally modulated light.

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Journal:  J Biomed Opt       Date:  2012-07       Impact factor: 3.170

4.  Accuracy of ultrasonography and mammography in predicting pathologic response after neoadjuvant chemotherapy for breast cancer.

Authors:  Jason D Keune; Donna B Jeffe; Mario Schootman; Abigail Hoffman; William E Gillanders; Rebecca L Aft
Journal:  Am J Surg       Date:  2010-04       Impact factor: 2.565

5.  Performance of Mid-Treatment Breast Ultrasound and Axillary Ultrasound in Predicting Response to Neoadjuvant Chemotherapy by Breast Cancer Subtype.

Authors:  Rosalind P Candelaria; Roland L Bassett; William Fraser Symmans; Maheshwari Ramineni; Stacy L Moulder; Henry M Kuerer; Alastair M Thompson; Wei Tse Yang
Journal:  Oncologist       Date:  2017-03-17

6.  Normalization of compression-induced hemodynamics in patients responding to neoadjuvant chemotherapy monitored by dynamic tomographic optical breast imaging (DTOBI).

Authors:  Amir Y Sajjadi; Steven J Isakoff; Bin Deng; Bhawana Singh; Christy M Wanyo; Qianqian Fang; Michelle C Specht; Lidia Schapira; Beverly Moy; Aditya Bardia; David A Boas; Stefan A Carp
Journal:  Biomed Opt Express       Date:  2017-01-04       Impact factor: 3.732

7.  A computer-aided diagnosis (CAD) scheme for pretreatment prediction of pathological response to neoadjuvant therapy using dynamic contrast-enhanced MRI texture features.

Authors:  Valentina Giannini; Simone Mazzetti; Agnese Marmo; Filippo Montemurro; Daniele Regge; Laura Martincich
Journal:  Br J Radiol       Date:  2017-07-14       Impact factor: 3.039

8.  Preliminary study of early response to neoadjuvant chemotherapy after the first cycle in breast cancer: comparison of 1H magnetic resonance spectroscopy with diffusion magnetic resonance imaging.

Authors:  Mitsuhiro Tozaki; Yu Oyama; Eisuke Fukuma
Journal:  Jpn J Radiol       Date:  2010-02-26       Impact factor: 2.374

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Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-10       Impact factor: 11.205

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Authors:  Mitsuhiro Tozaki; Katsuya Maruyama
Journal:  J Oncol       Date:  2010-09-26       Impact factor: 4.375

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