Literature DB >> 22966297

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

Yoriko Murata1, Kei Kubota, Norihiko Hamada, Kana Miyatake, Michiko Tadokoro, Kimiko Nakatani, Hironobu Ue, Kazuhiro Tsuzuki, Akihito Nishioka, Mitsuko Iguchi, Hironobu Maeda, Yasuhiro Ogawa.   

Abstract

The study aimed to evaluate the utility of diffusion-weighted imaging (DWI) and to assess the response of breast cancer patients to neoadjuvant chemotherapy (NAC), based on morphological concepts. This retrospective study included 35 breast cancer patients (36 lesions) who had conventional magnetic resonance imaging (MRI), with DWI acquired before and after NAC. The morphological pattern of delayed enhancement on MRI before NAC was classified into two types: focal mass (FM), and multiple masses and/or non-mass like (MM/NM), based on Breast Imaging Reporting and Data System (BI-RADS). Of the 36 tumors, 26 were classified as FM and 10 as MM/NM. Tumors were clearly visualized on the initial DWI although one case of suspected MM/NM was not observed on DWI following NAC. A correlation was found between changes in the apparent diffusion coefficient and response rates to NAC in FM tumors (r=0.608, p<0.001), but not in MM/NM tumors (r=0.141, p=0.717). There was agreement between MRI findings after NAC and pathological findings in 30 of the 36 tumors (83.3%). Thus, we concluded that DWI is potentially useful in assessing the response to NAC for breast cancer for tumors diagnosed as FM on the initial conventional MRI.

Entities:  

Year:  2010        PMID: 22966297      PMCID: PMC3436459          DOI: 10.3892/ol_00000052

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


  28 in total

1.  Diffusion tensor MRI of the human kidney.

Authors:  M Ries; R A Jones; F Basseau; C T Moonen; N Grenier
Journal:  J Magn Reson Imaging       Date:  2001-07       Impact factor: 4.813

2.  MRI of breast cancer: influence of chemotherapy on sensitivity.

Authors:  A Rieber; H Zeitler; H Rosenthal; J Görich; R Kreienberg; H J Brambs; R Tomczak
Journal:  Br J Radiol       Date:  1997-05       Impact factor: 3.039

3.  Quantitative diffusion imaging in breast cancer: a clinical prospective study.

Authors:  Erika Rubesova; Anne-Sophie Grell; Viviane De Maertelaer; Thierry Metens; Shih-Li Chao; Marc Lemort
Journal:  J Magn Reson Imaging       Date:  2006-08       Impact factor: 4.813

Review 4.  Echo-planar imaging: magnetic resonance imaging in a fraction of a second.

Authors:  M K Stehling; R Turner; P Mansfield
Journal:  Science       Date:  1991-10-04       Impact factor: 47.728

Review 5.  Ultrafast MR imaging of the abdomen: echo planar imaging and diffusion-weighted imaging.

Authors:  Y Yamashita; Y Tang; M Takahashi
Journal:  J Magn Reson Imaging       Date:  1998 Mar-Apr       Impact factor: 4.813

6.  Breast-conserving surgery after chemotherapy: value of MDCT for determining tumor distribution and shrinkage pattern.

Authors:  Mitsuhiro Tozaki; Tadashi Kobayashi; Shinji Uno; Keisuke Aiba; Hiroshi Takeyama; Hisashi Shioya; Isao Tabei; Yasuo Toriumi; Masafumi Suzuki; Kunihiko Fukuda
Journal:  AJR Am J Roentgenol       Date:  2006-02       Impact factor: 3.959

7.  MRI vs. histologic measurement of breast cancer following chemotherapy: comparison with x-ray mammography and palpation.

Authors:  P T Weatherall; G F Evans; G J Metzger; M H Saborrian; A M Leitch
Journal:  J Magn Reson Imaging       Date:  2001-06       Impact factor: 4.813

8.  Changes in the findings of dynamic MRI by preoperative CAF chemotherapy for patients with breast cancer of stage II and III: pathologic correlation.

Authors:  N Tsuboi; Y Ogawa; T Inomata; D Yoshida; S Yoshida; T Moriki; M Kumon
Journal:  Oncol Rep       Date:  1999 Jul-Aug       Impact factor: 3.906

9.  Diffusion weighted whole body imaging with background body signal suppression (DWIBS): technical improvement using free breathing, STIR and high resolution 3D display.

Authors:  Taro Takahara; Yutaka Imai; Tomohiro Yamashita; Seiei Yasuda; Seiji Nasu; Marc Van Cauteren
Journal:  Radiat Med       Date:  2004 Jul-Aug

10.  Utility of initial MRI for predicting extent of residual disease after neoadjuvant chemotherapy: analysis of 70 breast cancer patients.

Authors:  Yoriko Murata; Yasuhiro Ogawa; Shoji Yoshida; Kei Kubota; Satoshi Itoh; Mitsutaka Fukumoto; Akihito Nishioka; Toshiaki Moriki; Hironori Maeda; Yosuke Tanaka
Journal:  Oncol Rep       Date:  2004-12       Impact factor: 3.906

View more
  4 in total

1.  Comparative study of imaging and histology of sacroiliac joint in normal rats based on IVIM-DWI and DCE-MRI.

Authors:  Jian Qin; Qianqian Yao; Xubo Ge; Jianzhong Zhu; Zhaoliang Yin; Xiaoqian Li; Changqin Li
Journal:  BMC Musculoskelet Disord       Date:  2020-07-20       Impact factor: 2.362

2.  Diffusion-Weighted Magnetic Resonance Imaging of Patients with Breast Cancer Following Neoadjuvant Chemotherapy Provides Early Prediction of Pathological Response - A Prospective Study.

Authors:  Nara P Pereira; Carla Curi; Cynthia A B T Osório; Elvira F Marques; Fabiana B Makdissi; Katja Pinker; Almir G V Bitencourt
Journal:  Sci Rep       Date:  2019-11-08       Impact factor: 4.379

3.  Diffusion weighted imaging evaluated the early therapy effect of tamoxifen in an MNU-induced mammary cancer rat model.

Authors:  Guihua Zhai; Clinton J Grubbs; Cecil R Stockard; Heidi R Umphrey; T Mark Beasley; Hyunki Kim
Journal:  PLoS One       Date:  2013-05-21       Impact factor: 3.240

4.  Early prediction of response to neoadjuvant chemotherapy in patients with breast cancer using diffusion-weighted imaging and gray-scale ultrasonography.

Authors:  Hitomi Iwasa; Kei Kubota; Norihiko Hamada; Munenobu Nogami; Akihito Nishioka
Journal:  Oncol Rep       Date:  2014-02-18       Impact factor: 3.906

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.