Literature DB >> 33001328

Maximum slope of ultrafast dynamic contrast-enhanced MRI of the breast: Comparisons with prognostic factors of breast cancer.

Ken Yamaguchi1, Takahiko Nakazono2, Ryoko Egashira2, Shuichi Fukui2, Koichi Baba3, Takahiro Hamamoto4, Hiroyuki Irie2.   

Abstract

PURPOSE: To determine the relationship between the maximum slope (MS) of ultrafast dynamic contrast-enhanced (DCE)-MRI and prognostic factors of breast cancer.
METHODS: One hundred thirteen patients with 118 breast cancers were included in this study. The ultrafast DCE sequence was acquired using a higher parallel imaging factor. Its spatial resolution was 0.9 × 0.9 × 2.5 mm and its temporal resolution was 8.3 s/phase. Each lesion was automatically segmented, and the ROI of highest enhancement in the lesion was identified. In this ROI, the MS was calculated. The MS of each lesion was compared with various prognostic factors of breast cancer.
RESULTS: The MS of invasive cancer (median: 9.81%/sec) was significantly higher than that of ductal carcinoma in situ (median: 7.26%/sec) (p = 0.001). In the ROC analysis, the area under the ROC curve (AUC) was 0.7295. The MS of invasive cancer with axillary lymph node (LN) metastasis (median: 11.97%/sec) was significantly higher than that without axillary LN metastasis (median: 9.425%/sec) (p = 0.0024). In the ROC analysis, the AUC was 0.7177. In addition, the MS became significantly higher as the level of the proliferation marker ki-67 increased (correlation coefficient: 0.3317) (p = 0.0009).
CONCLUSIONS: MS of ultrafast DCE-MRI is useful for predicting the prognostic factors of breast cancer. Higher maximum slope (MS) is significantly associated with an invasive breast cancer component. Higher MS is significantly associated with an axillary lymph node metastasis. MS becomes significantly higher with increasing ki-67 (a proliferation marker). Ultrafast MRI is useful for predicting the prognostic factors of breast cancer.

Entities:  

Keywords:  Breast cancer; Kinetics; Magnetic resonance imaging; Maximum slope; Prognosis

Mesh:

Substances:

Year:  2020        PMID: 33001328     DOI: 10.1007/s11604-020-01049-6

Source DB:  PubMed          Journal:  Jpn J Radiol        ISSN: 1867-1071            Impact factor:   2.374


  1 in total

1.  Comparison of Microvessel Density with Prognostic Factors in Invasive Ductal Carcinomas of the Breast.

Authors:  Ebru Şener; Sare Şipal; Cemal Gündoğdu
Journal:  Turk Patoloji Derg       Date:  2016
  1 in total
  5 in total

Review 1.  Radiomics in breast MRI: current progress toward clinical application in the era of artificial intelligence.

Authors:  Hiroko Satake; Satoko Ishigaki; Rintaro Ito; Shinji Naganawa
Journal:  Radiol Med       Date:  2021-10-26       Impact factor: 3.469

2.  Visual Evaluation of Ultrafast MRI in the Assessment of Residual Breast Cancer after Neoadjuvant Systemic Therapy: A Preliminary Study Association with Subtype.

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Journal:  Tomography       Date:  2022-06-10

Review 3.  Breast MRI during pregnancy and lactation: clinical challenges and technical advances.

Authors:  Noam Nissan; Ethan Bauer; Efi Efraim Moss Massasa; Miri Sklair-Levy
Journal:  Insights Imaging       Date:  2022-04-09

Review 4.  Breast Cancer Subtypes and Quantitative Magnetic Resonance Imaging: A Systemic Review.

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Journal:  Life (Basel)       Date:  2022-03-28

Review 5.  Ultrafast Dynamic Contrast-enhanced MRI of the Breast: How Is It Used?

Authors:  Masako Kataoka; Maya Honda; Akane Ohashi; Ken Yamaguchi; Naoko Mori; Mariko Goto; Tomoyuki Fujioka; Mio Mori; Yutaka Kato; Hiroko Satake; Mami Iima; Kazunori Kubota
Journal:  Magn Reson Med Sci       Date:  2022-02-25       Impact factor: 2.760

  5 in total

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