Literature DB >> 30835501

Tumor-stromal ratio (TSR) of invasive breast cancer: correlation with multi-parametric breast MRI findings.

Ken Yamaguchi1, Yukiko Hara2, Isao Kitano2, Takahiro Hamamoto3, Kazumitsu Kiyomatsu4, Fumio Yamasaki5, Ryoko Egashira1, Takahiko Nakazono1, Hiroyuki Irie1.   

Abstract

OBJECTIVE: To correlate the tumor-stromal ratio (TSR) of invasive breast cancer and MRI findings.
METHODS: This study was approved by our institutional review board. 126 consecutive patients with surgically proven invasive breast cancer were included. All patients underwent MRI exams including short-tau inversion-recovery (STIR) T 2 weighted imaging, diffusion-weighted imaging (DWI) and post-contrast dynamic imaging. The mean signal intensity (SI) and apparent diffusion coefficient (ADC) value of each lesion were measured. To objectively evaluate the STIR images, the ratio of the SI of the lesion to the muscle (L/M ratio) was also measured. Percentages of MRI kinetic parameters obtained from dynamic images were also measured. The TSR was defined as the percentage of the stromal component, and categorized into high-stroma (> 50%) and low-stroma (< 50%) groups. Intergroup differences in the SI, L/M ratio, ADC value and percentages of kinetic parameters were examined.
RESULTS: The SI and L/M ratio of the high-stroma group were significantly lower than those of the low-stromal group (208.64 vs 331.86 for SI, 5.69 vs 9.31 for L/M ratio) (p < 0.001). The high-stroma group had significantly lower percentages of a washout pattern (25% vs 34.7 %) (p = 0.012) and significantly higher percentages of a persistent pattern (36.92% vs 28.26 %) (p = 0.044). There were no significant correlations between the TSR and ADC value.
CONCLUSION: STIR and dynamic sequence of breast MRI reflects the stromal component of invasive breast cancer. ADVANCES IN KNOWLEDGE: This is the first study to correlate TSR and MRI findings. STIR and post-contrast dynamic study correlated with the stromal component of breast cancer.

Entities:  

Mesh:

Year:  2019        PMID: 30835501      PMCID: PMC6580921          DOI: 10.1259/bjr.20181032

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  21 in total

Review 1.  Developing an MR imaging strategy for diagnosis of ovarian masses.

Authors:  Izumi Imaoka; Akihiko Wada; Yasushi Kaji; Takafumi Hayashi; Michiharu Hayashi; Michimasa Matsuo; Kazuro Sugimura
Journal:  Radiographics       Date:  2006 Sep-Oct       Impact factor: 5.333

2.  MR mammography is useful in the preoperative locoregional staging of breast carcinomas with extensive intraductal component.

Authors:  M Van Goethem; K Schelfout; E Kersschot; C Colpaert; I Verslegers; I Biltjes; W A Tjalma; A De Schepper; J Weyler; P M Parizel
Journal:  Eur J Radiol       Date:  2007-01-12       Impact factor: 3.528

3.  The fibrotic focus in MR-mammography.

Authors:  Mireille Van Goethem; Godelieve Hufkens; Inge Verslegers; Veerle Van Marck; Isabelle Biltjes; Paul M Parizel
Journal:  Eur J Radiol       Date:  2012-09       Impact factor: 3.528

4.  Tumor-stroma ratio in the primary tumor is a prognostic factor in early breast cancer patients, especially in triple-negative carcinoma patients.

Authors:  Esther M de Kruijf; Johanna G H van Nes; Cornelis J H van de Velde; Hein Putter; Vincent T H B M Smit; Gerrit Jan Liefers; Peter J K Kuppen; Rob A E M Tollenaar; Wilma E Mesker
Journal:  Breast Cancer Res Treat       Date:  2010-04-02       Impact factor: 4.872

5.  Breast carcinoma: effect of preoperative contrast-enhanced MR imaging on the therapeutic approach.

Authors:  U Fischer; L Kopka; E Grabbe
Journal:  Radiology       Date:  1999-12       Impact factor: 11.105

Review 6.  Breast cancer stem cells, cytokine networks, and the tumor microenvironment.

Authors:  Hasan Korkaya; Suling Liu; Max S Wicha
Journal:  J Clin Invest       Date:  2011-10-03       Impact factor: 14.808

Review 7.  MR imaging of the breast for the detection, diagnosis, and staging of breast cancer.

Authors:  S G Orel; M D Schnall
Journal:  Radiology       Date:  2001-07       Impact factor: 11.105

8.  Dynamic high-spatial-resolution MR imaging of invasive ductal carcinoma: influence of histological scirrhous component on MR descriptors.

Authors:  Mitsuhiro Tozaki; Kunihiko Fukuda; Masafumi Suzuki
Journal:  Magn Reson Med Sci       Date:  2006-10       Impact factor: 2.471

Review 9.  Extracellular gadolinium-based contrast media: an overview.

Authors:  Marie-France Bellin; Aart J Van Der Molen
Journal:  Eur J Radiol       Date:  2008-03-20       Impact factor: 3.528

10.  MRI evaluation of the contralateral breast in women with recently diagnosed breast cancer.

Authors:  Constance D Lehman; Constantine Gatsonis; Christiane K Kuhl; R Edward Hendrick; Etta D Pisano; Lucy Hanna; Sue Peacock; Stanley F Smazal; Daniel D Maki; Thomas B Julian; Elizabeth R DePeri; David A Bluemke; Mitchell D Schnall
Journal:  N Engl J Med       Date:  2007-03-28       Impact factor: 91.245

View more
  2 in total

1.  Kinetic volume analysis on dynamic contrast-enhanced MRI of triple-negative breast cancer: associations with survival outcomes.

Authors:  Yoko Hayashi; Hiroko Satake; Satoko Ishigaki; Rintaro Ito; Mariko Kawamura; Hisashi Kawai; Shingo Iwano; Shinji Naganawa
Journal:  Br J Radiol       Date:  2019-12-16       Impact factor: 3.039

2.  Rapid multi-dynamic algorithm for gray image analysis of the stroma percentage on colorectal cancer.

Authors:  Tengfei Li; Zekuan Yu; Yan Yang; Zhongmao Fu; Ziang Chen; Qi Li; Kundong Zhang; Zai Luo; Zhengjun Qiu; Chen Huang
Journal:  J Cancer       Date:  2021-06-01       Impact factor: 4.207

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.