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La radiologia medica
Erschienen in: La radiologia medica 3/2015

01.03.2015 | BREAST RADIOLOGY

Diffusion magnetic resonance imaging in breast cancer characterisation: correlations between the apparent diffusion coefficient and major prognostic factors

verfasst von: Paolo Belli, Melania Costantini, Enida Bufi, Giuseppe Giovanni Giardina, Pierluigi Rinaldi, Gianluca Franceschini, Lorenzo Bonomo

Erschienen in: La radiologia medica | Ausgabe 3/2015

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Abstract

Purpose

This study was done to investigate the correlation between the apparent diffusion coefficient (ADC) and prognostic factors of breast cancer.

Materials and methods

From January 2008 to June 2011, all consecutive patients with breast cancer who underwent breast magnetic resonance imaging (MRI) and subsequent surgery in our hospital were enrolled in our study. The MRI protocol included a diffusion-weighted imaging sequence with b values of 0 and 1,000 s/mm2. For each target lesion in the breast, the ADC value was compared with regard to major prognostic factors: histology, tumour grade, tumour size, lymph node status, and age.

Results

A total of 289 patients with a mean age of 53.49 years were included in the study. The mean ADC value of malignant lesions was 1.02 × 10−3 mm2/s. In situ carcinomas, grade 1 lesions, and tumours without lymph nodal involvement had mean ADC values that were significantly higher than those of invasive carcinomas (p = 0.009), grade 2/3 lesions (p < 0.001), and tumours with nodal metastases (p = 0.001). No significant differences were observed in ADC values among tumours of different sizes or among patient age groups.

Conclusions

ADC values appear to correlate with tumour grade and some major prognostic factors.
Literatur
1.
Raka EA, Ellis IO (2011) Modern classification of breast cancer: should we stick with morphology or convert to molecular profile characteristics. Adv Anat Pathol 18:255–267CrossRef
2.
Rakha EA, Reis-Filho JS, Baehner F et al (2010) Breast cancer prognostic classification in the molecular era: the role of histological grade. Breast Cancer Res 12:207PubMedCentralPubMed
3.
Bone B, Aspelin P, Bronge L, Veress B (1998) Contrast-enhanced MR imaging as a prognostic indicator of breast cancer. Acta Radiol 39:279–284CrossRefPubMed
4.
Jinguji J, Kajiya Y, Kamimura K et al (2006) Rim enhancement of breast cancers on contrast-enhanced MR imaging: relationship with prognostic factors. Breast Cancer 13:64–73CrossRefPubMed
5.
Mussurakis S, Buckley DL, Horsman A (1997) Dynamic MR imaging of invasive breast cancer: correlation with tumour grade and other histological factors. Br J Radiol 70:446–451CrossRefPubMed
6.
Szabo BK, Aspelin P, Kristoffersen Wiberg M et al (2003) Invasive breast cancer: correlation of dynamic MR features with prognostic factors. Eur Radiol 13:2425–2435CrossRefPubMed
7.
Partridge SC, DeMartini WB, Kurland BF et al (2009) Quantitative diffusion-weighted imaging as an adjunct to conventional breast MRI for improved positive predictive value. AJR 193:1716–1722CrossRefPubMed
8.
Peters NHGM, Vincken KL, Van Den Bosch MAAJ et al (2010) Quantitative diffusion-weighted imaging for differentiation of benign and malignant breast lesions: the influence of the choice of b-values. J Magn Reson Imaging 31:1100–1105CrossRefPubMed
9.
Rahbar H, Partridge SC, Eby PR et al (2011) Characterization of ductal carcinoma in situ on diffusion weighted breast MRI. Eur Radiol 21:2011–2019CrossRefPubMed
10.
Kim SH, Cha ES, Kim HS et al (2009) Diffusion-weighted imaging of breast cancer: correlation of the apparent diffusion coefficient value with prognostic factors. J Magn Reson Imaging 30:615–620CrossRefPubMed
11.
Costantini M, Belli P, Rinaldi P et al (2010) Diffusion-weighted imaging in breast cancer: relationship between apparent diffusion coefficient and tumor aggressiveness. Clin Radiol 65:1005–1012CrossRefPubMed
12.
Martincich L, Deantoni V, Bertotto I et al (2012) Correlations between diffusion-weighted imaging and breast cancer biomarkers. Eur Radiol 22:1519–1528CrossRefPubMed
13.
Choi SY, Chang YW, Park HJ et al (2012) Correlation of the apparent diffusion coefficiency values on diffusion-weighted imaging with prognostic factors for breast cancer. Br J Radiol 85:474–479CrossRef
14.
Choi BB, Kim SH, Kang BJ et al (2012) Diffusion-weighted imaging and FDG PET/CT: predicting the prognoses with apparent diffusion coefficient values and maximum standardized uptake values in patients with invasive ductal carcinoma. World J Surg Oncol 10:126CrossRefPubMedCentralPubMed
15.
Nakajo M, Kajiya Y, Kaneko T et al (2010) FDG PET/CT and diffusion-weighted imaging for breast cancer: prognostic value of maximum standardized uptake values and apparent diffusion coefficient values of the primary lesion. Eur J Nucl Med Mol Imaging 37:2011–2020CrossRefPubMed
16.
Razek AA, Gaballa G, Denewer A, Nada N (2010) Invasive ductal carcinoma: correlation of apparent diffusion coefficient value with pathological prognostic factors. NMR Biomed 23:619–623CrossRefPubMed
17.
Colagrande S, Carbone SF, Carusi LM et al (2006) Magnetic resonance diffusion-weighted imaging: extraneurological applications. Radiol Med 111:392–419CrossRefPubMed
18.
Kuroki Y, Nasu K (2008) Advances in breast MRI: diffusion-weighted imaging of the breast. Breast Cancer 15:212–217CrossRefPubMed
19.
Kul S, Cansu A, Alhan E et al (2011) Contribution of diffusion-weighted imaging to dynamic contrast-enhanced MRI in the characterization of breast tumors. AJR 196:210–217CrossRefPubMed
20.
Elston CW, Ellis IO (1991) Pathological prognostic factors in breast cancer. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. Histopathology 19:403–410CrossRefPubMed
21.
McGuire WL (1991) Breast cancer prognostic factors: evaluation guidelines. J Natl Cancer Inst 83:154–155CrossRefPubMed
22.
Rakha EM, El-Sayed ME, Lee AHS et al (2008) Prognostic significance of Nottingham Histologic Grade in invasive breast carcinoma. J Clin Oncol 26:3153–3158CrossRefPubMed
23.
Adedayo A, Onitilo MD, Engel JM et al (2009) Breast cancer subtypes based on ER/PR and Her2 expression: comparison of clinicopathologic features and survival. Clin Med Res 7:4–13CrossRef
24.
Cianfrocca M, Gradishar W (2009) New molecular classifications of breast cancer. CA Cancer J Clin 59:303–313CrossRefPubMed
25.
Desmedt C, Haibe-Kains B, Wirapati P et al (2008) Biological processes associated with breast cancer clinical outcome depend on the molecular subtypes. Clin Cancer Res 14:123–127CrossRef
26.
Fernandes RCM, Bevilacqua JLB, Soares IC et al (2009) Coordinated expression of ER, PR and HER2 define different prognostic subtypes among poorly differentiated breast carcinomas. Histopathology 55:346–352CrossRefPubMed
27.
Habibi G, Leung S, Law JH et al (2008) Redefining prognostic factors for breast cancer: yB-1 is a stronger predictor of relapse and disease-specific survival than estrogen receptor or HER-2 across all tumor subtypes. Breast Cancer Res 10:R86CrossRefPubMedCentralPubMed
28.
Weigelt B, Horlings HM, Kreike B et al (2008) Refinement of breast cancer classification by molecular characterization of histological special types. J Pathol 21:141–150CrossRef
29.
Belli P, Costantini M, Ierardi C et al (2011) Diffusion-weighted imaging in evaluating the response to neoadjuvant breast cancer treatment. Breast J 17:610–619CrossRefPubMed
30.
National Research Ethics Service (2008) Approval for medical devices research: guidance for researchers, manufacturers, research ethics, committees and NHRR&D offices (Version 2). National Patients Safety Agency, London
31.
Cheng L, Bai Y, Zhang J et al (2013) Optimization of apparent diffusion coefficient measured by diffusion-weighted MRI for diagnosis of breast lesions presenting as mass and non-mass-like enhancement. Tumor Biol 34:1537–1545CrossRef
32.
Parsian S, Rahbar H, Allison KH et al (2012) Nonmalignant breast lesions: aDCs of benign and high-risk subtypes assessed as false-positive at dynamic enhanced MR imaging. Radiology 265:696–706CrossRefPubMedCentralPubMed
33.
Tavassoli FA, Devilee P (2003) World Health Organization Classification of Tumors. Pathology and Genetics of Tumors of the Breast and Female Genital Organs. IARC Press, Lyon
34.
Elston CW (2005) Classification and grading of invasive breast carcinoma. Verh Dtsch Ges Pathol 89:35–44PubMed
35.
36.
37.
Tabar L, Fagerberg G, Day NE et al (1992) Breast cancer treatment and natural history: new insights from results of screening. Lancet 339:412–414CrossRefPubMed
38.
Bertrand KA, Tamimi RM, Jensen MR et al (2013) Mammograohic density and risk of breast cancer by age and tumor characteristics. Breast Cancer Res 15:R104CrossRefPubMedCentralPubMed
39.
Dunnwald LK, Rossing MA, Li CI (2007) Hormone receptor status, tumor characteristics, and prognosis: a prospective color of breast cancer patients. Breast Cancer Res 9:R6CrossRefPubMedCentralPubMed
Metadaten
Titel
Diffusion magnetic resonance imaging in breast cancer characterisation: correlations between the apparent diffusion coefficient and major prognostic factors
verfasst von
Paolo Belli
Melania Costantini
Enida Bufi
Giuseppe Giovanni Giardina
Pierluigi Rinaldi
Gianluca Franceschini
Lorenzo Bonomo
Publikationsdatum
01.03.2015
Verlag
Springer Milan
Erschienen in
La radiologia medica / Ausgabe 3/2015
Print ISSN: 0033-8362
Elektronische ISSN: 1826-6983
DOI
https://doi.org/10.1007/s11547-014-0442-8

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