Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.
ADVANCED SEARCH
Log in
Top
European Radiology
Published in: European Radiology 10/2017

01-10-2017 | Breast

Evaluation of the R2* value in invasive ductal carcinoma with respect to hypoxic-related prognostic factors using iterative decomposition of water and fat with echo asymmetry and least-squares emission (IDEAL)

Authors: Mari Miyata, Takatoshi Aoki, Shohei Shimajiri, Atsuji Matsuyama, Shunsuke Kinoshita, Masami Fujii, Takefumi Katsuki, Yuzuru Inoue, Yoshika Nagata, Yuko Tashima, Yukunori Korogi

Published in: European Radiology | Issue 10/2017

Login to get access

Abstract

Objective

To correlate the R2* value obtained by iterative decomposition of water and fat with echo asymmetry and least-squares emission (IDEAL) with fibrotic focus (FF), microvessel density and hypoxic biomarker (HIF-1α) in breast carcinoma.

Methods

Forty-two patients who were diagnosed with invasive ductal carcinoma (IDC) of the breast underwent breast MRI including IDEAL before surgery. The entire region of interest (ROI) was delineated on the R2* map, and average tumour R2* value was calculated for each ROI. Histological specimens were evaluated for the presence of FF, the microvessel density (the average microvessel density and the ratio of peripheral to central microvessel density), and the grading of HIF-1α.

Results

FF was identified in 47.6% (20/42) of IDCs. Average R2* value for IDC with FF (42.4±13.2 Hz) was significantly higher than that without FF (28.5±13.9 Hz) (P = 0.01). Spearman rank correlation suggested that the average R2* value correlated with the grade of HIF-1α and the ratio of peripheral to central microvessel density for IDCs (P < 0.001).

Conclusion

Quantification of tumour R2* using IDEAL is associated with the presence of FF and the overexpression of HIF-1α, and may therefore be useful in predicting hypoxia of breast carcinoma.

Key Points

• R2* value obtained by IDEAL correlates with the overexpression of HIF-1α.
• R2* value obtained by IDEAL is associated with fibrotic focus.
• R2* quantification may be useful in predicting hypoxia of breast carcinoma.
Literature
1.
Hasebe T, Tsuda H, Hirohashi S et al (1998) Fibrotic focus in infiltrating ductal carcinoma of the breast: a significant histopathological prognostic parameter for predicting the long-term survival of the patients. Breast Cancer Res Treat 49:195–208CrossRefPubMed
2.
Fyles A, Milosevic M, Hedley D et al (2002) Tumor hypoxia has independent predictor impact only in patients with node-negative cervix cancer. J Clin Oncol 20:680–687CrossRefPubMed
3.
Nordsmark M, Bentzen SM, Rudat V et al (2005) Prognostic value of tumor oxygenation in 397 head and neck tumors after primary radiation therapy. An international multi-center study. Radiother Oncol 77:18–24CrossRefPubMed
4.
Horsman MR (1998) Measurement of tumor oxygenation. Int J Radiat Oncol*Biology*Physics 42:701–704CrossRef
5.
Hasebe T, Tsuda H, Hirohashi S et al (1996) Fibrotic focus in invasive ductal carcinoma: an indicator of high tumor aggressiveness. Cancer Sci 87:385–394
6.
Hasebe T, Iwasaki M, Akashi-Tanaka S et al (2011) Prognostic significance of mitotic figures in metastatic mammary ductal carcinoma to the lymph nodes. Hum Pathol 42:1823–1832CrossRefPubMed
7.
Rocha S (2007) Gene regulation under low oxygen: holding your breath for transcription. Trends Biochem Sci 32:389–397CrossRefPubMed
8.
9.
Kornegoor R, Verschuur-Maes AH, Buerger H et al (2012) Fibrotic focus and hypoxia in male breast cancer. Mod Pathol 25:1397–1404CrossRefPubMed
10.
Semenza GL (2000) HIF-1: using two hands to flip the angiogenic switch. Cancer Metastasis Rev 19:59–65CrossRefPubMed
11.
Bos R, van Diest PJ, de Jong JS et al (2005) Hypoxia-inducible factor-1alpha is associated with angiogenesis, and expression of bFGF, PDGF-BB, and EGFR in invasive breast cancer. Histopathology 46:31–36CrossRefPubMed
12.
Chopra S, Foltz WD, Milosevic MF et al (2009) Comparing oxygen-sensitive MRI (BOLD R2*) with oxygen electrode measurements: a pilot study in men with prostate cancer. Int J Radiat Biol 85:805–813CrossRefPubMed
13.
Zhang LJ, Zhang Z, Xu J et al (2015) Carbogen gas-challenge blood oxygen level-dependent magnetic resonance imaging in hepatocellular carcinoma: Initial results. Oncol Lett 10:2009–2014PubMedPubMedCentral
14.
Boss A, Martirosian P, Jehs MC et al (2009) Influence of oxygen and carbogen breathing on renal oxygenation measured by T2*‐weighted imaging at 3.0 T. NMR Biomed 22:638–645CrossRefPubMed
15.
Vink EE, Boer A, Verloop WL et al (2015) The effect of renal denervation on kidney oxygenation as determined by BOLD MRI in patients with hypertension. Eur Radiol 25:1984–1992CrossRefPubMed
16.
McPhail LD, Robinson SP (2009) Intrinsic susceptibility MR imaging of chemically induced rat mammary tumors: relationship to histologic assessment of hypoxia and fibrosis 1. Radiology 254:110–118CrossRef
17.
Reeder SB, Wen Z, Yu H et al (2004) Multicoil Dixon chemical species separation with an iterative least‐squares estimation method. Magn Reson Med 51:35–45CrossRefPubMed
18.
Bydder M, Yokoo T, Hamilton G et al (2008) Relaxation effects in the quantification of fat using gradient echo imaging. Magn Reson Imaging 26:347–359CrossRefPubMedPubMedCentral
19.
Yu H, Shimakawa A, McKenzie CA, Brodsky E, Brittain JH, Reeder SB (2008) Multiecho water‐fat separation and simultaneous R 2* estimation with multifrequency fat spectrum modeling. Magn Reson Med 60:1122–1134CrossRefPubMedPubMedCentral
20.
Liu M, Guo X, Wang S et al (2013) BOLD-MRI of breast invasive ductal carcinoma: correlation of R2* value and the expression of HIF-1α. Eur Radiol 23:3221–3227CrossRefPubMed
21.
Zhong H, De Marzo AM, Laughner E et al (1999) Overexpression of hypoxia-inducible factor 1α in common human cancers and their metastases. Cancer Res 59:5830–5835PubMed
22.
Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33:159–174CrossRefPubMed
23.
Ko ES, Han BK, Kim RB et al (2014) Apparent diffusion coefficient in estrogen receptor–positive invasive ductal breast carcinoma: correlations with tumor-stroma ratio. Radiology 271:30–37CrossRefPubMed
24.
Mujtaba SS, Ni Y-B, Tsang JY et al (2013) Fibrotic focus in breast carcinomas: relationship with prognostic parameters and biomarkers. Ann Surg Oncol 20:2842–2849CrossRefPubMed
25.
Van den Eynden G, Colpaert C, Couvelard A et al (2007) A fibrotic focus is a prognostic factor and a surrogate marker for hypoxia and (lymph) angiogenesis in breast cancer: review of the literature and proposal on the criteria of evaluation. Histopathology 51:440–451CrossRefPubMed
26.
Colpaert C, Vermeulen P, Van Beest P et al (2001) Intratumoral hypoxia resulting in the presence of a fibrotic focus is an independent predictor of early distant relapse in lymph node‐negative breast cancer patients. Histopathology 39:416–425CrossRefPubMed
27.
Jitsuiki Y, Hasebe T, Tsuda H et al (1999) Optimizing microvessel counts according to tumor zone in invasive ductal carcinoma of the breast. Modern Pathol: Off J United States Canadian Acad Pathol, Inc 12:492–498
28.
Narisada H, Aoki T, Sasaguri T et al (2006) Correlation between numeric gadolinium-enhanced dynamic MRI ratios and prognostic factors and histologic type of breast carcinoma. Am J Roentgenol 187:297–306CrossRef
Metadata
Title
Evaluation of the R2* value in invasive ductal carcinoma with respect to hypoxic-related prognostic factors using iterative decomposition of water and fat with echo asymmetry and least-squares emission (IDEAL)
Authors
Mari Miyata
Takatoshi Aoki
Shohei Shimajiri
Atsuji Matsuyama
Shunsuke Kinoshita
Masami Fujii
Takefumi Katsuki
Yuzuru Inoue
Yoshika Nagata
Yuko Tashima
Yukunori Korogi
Publication date
01-10-2017
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 10/2017
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-017-4832-x

Other articles of this Issue 10/2017

European Radiology 10/2017 Go to the issue

Hepatobiliary-Pancreas

Liver Imaging Reporting and Data System on CT and gadoxetic acid-enhanced MRI with diffusion-weighted imaging

Chest

Reply to Letter to the Editor re: Magnetic resonance imaging of pulmonary nodules: accuracy in a granulomatous disease-endemic region

Musculoskeletal

Systematic evaluation of concomitant extensor tendon sheath injury in patients with distal intra-articular radial fractures in MDCT using the floating fat sign

Computer Applications

Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings

Neuro

HIV-associated neurodegeneration and neuroimmunity: multivoxel MR spectroscopy study in drug-naïve and treated patients

Urogenital

Diagnostic accuracy of virtual non-contrast enhanced dual-energy CT for diagnosis of adrenal adenoma: A systematic review and meta-analysis