Literature DB >> 17573224

Lesion T(2) relaxation times and volumes predict the response of malignant breast lesions to neoadjuvant chemotherapy.

P Clara Tan1, Martin D Pickles, Martin Lowry, David J Manton, Lindsay W Turnbull.   

Abstract

The aim of this study was to investigate the utility of the water T(2) values of malignant breast lesions in predicting response after the first and second cycles of neoadjuvant chemotherapy (NAC), both alone and in combination with lesion volumes. Thirty-five patients were scanned before the commencement of chemotherapy and again after the first, second and final treatment cycles. Two methods of obtaining lesion T(2) were used: imaging, where a series of T(2)-weighted images was acquired (T(R)/T(E)=1000/30, 60, 90 and 120 ms), and spectroscopy, where the T(2) value of unsuppressed water signal was determined with a multiecho sequence (T(R)=1.5 s; initial T(E)=35 ms; 64 steps of 2.5 ms; 2 unsuppressed acquisitions per T(E)). Lesion volumes were computed from contrast-enhanced 3D fat-suppressed images. The study found that, using the imaging method of obtaining T(2), the ratio of the product of lesion T(2) and volume after the second cycle of NAC to pretreatment value is a good predictor of ultimate lesion response, defined as a > or =65% reduction in tumor volume after the final treatment cycle, with positive and negative predictive values of 95.5% and 84.6%, respectively.

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Year:  2007        PMID: 17573224     DOI: 10.1016/j.mri.2007.04.002

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  11 in total

1.  In vivo water state measurements in breast cancer using broadband diffuse optical spectroscopy.

Authors:  S H Chung; A E Cerussi; C Klifa; H M Baek; O Birgul; G Gulsen; S I Merritt; D Hsiang; B J Tromberg
Journal:  Phys Med Biol       Date:  2008-11-07       Impact factor: 3.609

2.  Three-dimensional MR Fingerprinting for Quantitative Breast Imaging.

Authors:  Yong Chen; Ananya Panda; Shivani Pahwa; Jesse I Hamilton; Sara Dastmalchian; Debra F McGivney; Dan Ma; Joshua Batesole; Nicole Seiberlich; Mark A Griswold; Donna Plecha; Vikas Gulani
Journal:  Radiology       Date:  2018-10-30       Impact factor: 11.105

3.  Repeatability and reproducibility of 3D MR fingerprinting relaxometry measurements in normal breast tissue.

Authors:  Ananya Panda; Yong Chen; Kathleen Ropella-Panagis; Satyam Ghodasara; Marcie Stopchinski; Nicole Seyfried; Katherine Wright; Nicole Seiberlich; Mark Griswold; Vikas Gulani
Journal:  J Magn Reson Imaging       Date:  2019-03-20       Impact factor: 4.813

4.  The use of molecular breast imaging to assess response in women undergoing neoadjuvant therapy for breast cancer: a pilot study.

Authors:  Dietlind L Wahner-Roedler; Judy C Boughey; Carrie B Hruska; Beiyun Chen; Deborah J Rhodes; Cindy L Tortorelli; Robert W Maxwell; Stephen S Cha; Michael K O'Connor
Journal:  Clin Nucl Med       Date:  2012-04       Impact factor: 7.794

Review 5.  MRI in breast cancer therapy monitoring.

Authors:  Rebekah McLaughlin; Nola Hylton
Journal:  NMR Biomed       Date:  2011-06-21       Impact factor: 4.044

6.  Contrast-free MRI quantitative parameters for early prediction of pathological response to neoadjuvant chemotherapy in breast cancer.

Authors:  Siyao Du; Si Gao; Ruimeng Zhao; Hongbo Liu; Yan Wang; Xixun Qi; Shu Li; Jibin Cao; Lina Zhang
Journal:  Eur Radiol       Date:  2022-03-10       Impact factor: 7.034

7.  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

8.  Changes of T2 Relaxation Time From Neoadjuvant Chemotherapy in Breast Cancer Lesions.

Authors:  Li Liu; Bo Yin; Dao Ying Geng; Yi Ping Lu; Wei Jun Peng
Journal:  Iran J Radiol       Date:  2016-01-09       Impact factor: 0.212

9.  The diagnostic performance of quantitative mapping in breast cancer patients: a preliminary study using synthetic MRI.

Authors:  Tiebao Meng; Ni He; Haoqiang He; Kuiyuan Liu; Liangru Ke; Huiming Liu; Linchang Zhong; Chenghui Huang; Anli Yang; Chunyan Zhou; Long Qian; Chuanmiao Xie
Journal:  Cancer Imaging       Date:  2020-12-14       Impact factor: 3.909

10.  Role of quantitative analysis of T2 relaxation time in differentiating benign from malignant breast lesions.

Authors:  Li Liu; Bo Yin; Kawai Shek; Daoying Geng; Yiping Lu; Jianbo Wen; Xinping Kuai; Weijun Peng
Journal:  J Int Med Res       Date:  2018-03-20       Impact factor: 1.671

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