Literature DB >> 30172938

Association among T2 signal intensity, necrosis, ADC and Ki-67 in estrogen receptor-positive and HER2-negative invasive ductal carcinoma.

Soo-Yeon Kim1, Eun-Kyung Kim1, Hee Jung Moon1, Jung Hyun Yoon1, Ja Seung Koo2, Sungheon Gene Kim3, Min Jung Kim4.   

Abstract

PURPOSE: To determine whether T2 signal intensity, necrosis, and ADC values are associated with Ki-67 in patients with Estrogen Receptor (ER)-positive and Human epidermal growth factor receptor type 2 (HER2)-negative invasive ductal carcinoma (IDC).
MATERIALS AND METHODS: Between March 2012 and February 2013, one hundred eighty seven women with ER-positive and HER2-negative IDC who underwent breast MRI and subsequent surgery were included. Intratumoral signal intensity was evaluated based on a combination of T2-weighted (low or equal, high, or very high) and contrast-enhanced MR images (enhancement or not). Necrosis was defined as very high T2 and no enhancement. Using the analysis of variance and pairwise t-test, a model based on intratumoral signal intensity was developed to assess Ki-67 of the surgical specimen. Inter-observer agreement for the developed model was analyzed. Conventional mean and minimum apparent diffusion coefficient (ADC) measurements were performed and correlated with Ki-67.
RESULTS: As the grade of the developed model increased (Grade I: low or equal T2, Grade II: high T2, or necrosis < 50%, Grade III: necrosis ≥ 50%), mean Ki-67 significantly increased (Grade I to III: 12.5%, 17.6%, 45.0%, respectively; P < 0.001). Good inter-observer agreement was found for the model (κ = 0.846, P < 0.001). ADC did not show significant correlations with Ki-67 (Pearson's correlation coefficient, 0.140 [P = 0.057] for mean ADC; -0.079 [P = 0.284] for minimum ADC).
CONCLUSION: Intratumoral signal intensity but not ADC was associated with Ki-67 in patients with ER-positive and HER2-negative IDC.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Apparent diffusion coefficient; Ki-67; Magnetic resonance imaging; Necrosis; T2 signal intensity

Mesh:

Substances:

Year:  2018        PMID: 30172938     DOI: 10.1016/j.mri.2018.08.017

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


  5 in total

1.  An analysis of Ki-67 expression in stage 1 invasive ductal breast carcinoma using apparent diffusion coefficient histograms.

Authors:  Maolin Xu; Qi Tang; Manxiu Li; Yulin Liu; Fang Li
Journal:  Quant Imaging Med Surg       Date:  2021-04

2.  Whole-Lesion Histogram Analysis of the Apparent Diffusion Coefficient as a Quantitative Imaging Biomarker for Assessing the Level of Tumor-Infiltrating Lymphocytes: Value in Molecular Subtypes of Breast Cancer.

Authors:  Wen-Jie Tang; Zhe Jin; Yan-Ling Zhang; Yun-Shi Liang; Zi-Xuan Cheng; Lei-Xin Chen; Ying-Ying Liang; Xin-Hua Wei; Qing-Cong Kong; Yuan Guo; Xin-Qing Jiang
Journal:  Front Oncol       Date:  2021-01-08       Impact factor: 6.244

Review 3.  Breast Cancer Subtypes and Quantitative Magnetic Resonance Imaging: A Systemic Review.

Authors:  Toshiki Kazama; Taro Takahara; Jun Hashimoto
Journal:  Life (Basel)       Date:  2022-03-28

4.  Correlation of dynamic contrast-enhanced MRI and diffusion-weighted MR imaging with prognostic factors and subtypes of breast cancers.

Authors:  Hui Chen; Wei Li; Chao Wan; Jue Zhang
Journal:  Front Oncol       Date:  2022-08-05       Impact factor: 5.738

Review 5.  The potential of predictive and prognostic breast MRI (P2-bMRI).

Authors:  Francesco Sardanelli; Pascal A T Baltzer; Matthias Dietzel; Rubina Manuela Trimboli; Moreno Zanardo; Rüdiger Schultz-Wendtland; Michael Uder; Paola Clauser
Journal:  Eur Radiol Exp       Date:  2022-08-22
  5 in total

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