Maximum slope using ultrafast breast DCE-MRI at 1.5 Tesla: a potential tool for predicting breast lesion aggressiveness.
Breast neoplasms
Kinetics
Magnetic resonance imaging
Prognosis
Journal
European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774
Informations de publication
Date de publication:
Dec 2021
Dec 2021
Historique:
received:
23
01
2021
accepted:
21
05
2021
revised:
09
04
2021
pubmed:
13
6
2021
medline:
17
11
2021
entrez:
12
6
2021
Statut:
ppublish
Résumé
We evaluated the relationship between the maximum slope (MS) based on ultrafast breast DCE-MRI sequences, and the clinical parameters and routine prognostic factors of breast cancer. 210 lesions were retrospectively evaluated: 150 malignant (30 each of luminal A invasive carcinoma, luminal B invasive carcinoma, HER2 overexpression (HER2), triple negative (TN), invasive lobular carcinoma (ILC)), and 60 benign. For each lesion, the MS was obtained with an ultrafast sequence and semi-quantitative curves were classified into three types with a conventional DCE sequence. The correlation between MS and age, body mass index (BMI), menopause, and routine prognostic factors were analyzed. A MS cut-off at 6.5%/s could discriminate benign from malignant lesions, with sensitivity and specificity of 84% and 90%, respectively, whereas analysis of semi-quantitative curves showed sensitivity and specificity of 89.3% and 55%, respectively. In multivariate analysis, MS values decreased with BMI increasing (p = 0.035), postmenopausal status (p < 0.001), and positive ER status (p < 0.001) and increased with tumor size (p < 0.001). The MS was significantly lower for the pooled luminal A + ILC group than for the pooled luminal B + HER2 + TN group featuring tumors with poorer prognoses (p < 0.001). With a threshold of 11%/s, the sensitivity and specificity to identify invasive carcinoma subtypes with poorer prognoses were 71% and 68%, respectively. The MS allows better tumor characterization and identifies factors of poor prognosis for breast cancer. • Maximum slope calculated from ultrafast breast DCE-MRI differentiates benign from malignant breast lesions better than semi-quantitative curves of conventional DCE-MRI. • Maximum slope calculated from ultrafast breast DCE-MRI identifies breast cancers with poor prognoses. • In the case of multiple lesions, the most aggressive may be identified and targeted by measuring the maximum slope.
Identifiants
pubmed: 34117556
doi: 10.1007/s00330-021-08089-0
pii: 10.1007/s00330-021-08089-0
doi:
Substances chimiques
Contrast Media
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
9556-9566Informations de copyright
© 2021. European Society of Radiology.
Références
Peters NH, Borel Rinkes IH, Zuithoff NP et al (2008) Meta-analysis of MR imaging in the diagnosis of breast lesions. Radiology 246:116–124
doi: 10.1148/radiol.2461061298
Medeiros LR, Duarte CS, Rosa DD et al (2011) Accuracy of magnetic resonance in suspicious breast lesions: a systematic quantitative review and meta-analysis. Breast Cancer Res Treat 126:273–285
doi: 10.1007/s10549-010-1326-9
Bennani-Baiti B, Baltzer PA (2017) MR imaging for diagnosis of malignancy in mammographic microcalcifications: a systematic review and meta-analysis. Radiology 283:692–701
doi: 10.1148/radiol.2016161106
Morris EA, Comstock CE, Lee CH et al (2013) ACR BI-RADS® magnetic resonance imaging. In: ACR BI-RADS® Atlas, Breast Imaging Reporting and Data System. American College of Radiology, Reston
Pinker-Domenig K, Bogner W, Gruber S et al (2012) High resolution MRI of the breast at 3 T: which BI-RADS(R) descriptors are most strongly associated with the diagnosis of breast cancer? Eur Radiol 22:322–330
doi: 10.1007/s00330-011-2256-6
Mann RM, Kuhl CK, Kinkel K, Boetes C (2008) Breast MRI: guidelines from the European Society of Breast Imaging. Eur Radiol 18:1307–1318
Sardanelli F, Boetes C, Borisch B et al (2010) Magnetic resonance imaging of the breast: recommendations from the EUSOMA working group. Eur J Cancer 46:1296–1316
doi: 10.1016/j.ejca.2010.02.015
Boetes C, Barentsz JO, Mus RD et al (1994) MR characterization of suspicious breast lesions with a gadolinium-enhanced Turbo-FLASH subtraction technique. Radiology 193:777–781
doi: 10.1148/radiology.193.3.7972823
Heywang SH, Wolf A, Pruss E, Eiermann W, Permanetter W (1989) MR imaging of the breast with Gd-DTPA: use and limitations. Radiology 171:95–103
Kaiser WA, Zeitler E (1989) MR imaging of the breast: fast imaging sequences with and without Gd-DTPA—preliminary observations. Radiology 170:681–686
doi: 10.1148/radiology.170.3.2916021
Fischer U, von Heyden D, Vosshenrich R, Vieweg I, Grabbe E (1993) Signalverhalten maligner und benigner la¨sionen in der dynamischen 2D-MRT der mamma. Rofo 158:287–292
Kuhl CK, Mielcareck P, Klaschik S et al (1999) Dynamic breast MR imaging: are signal intensity time course data useful for differential diagnosis of enhancing lesions? Radiology 211:101–110
doi: 10.1148/radiology.211.1.r99ap38101
Le Y, Kipfer H, Majidi S et al (2013) Application of time-resolved angiography with stochastic trajectories (TWIST)-Dixon in dynamic contrast-enhanced (DCE) breast MRI. J Magn Reson Imaging 38:1033–1042
doi: 10.1002/jmri.24062
Mann RM, Mus RD, van Zelst J, Karssemeijer N, Platel B (2014) A novel approach to contrast-enhanced breast magnetic resonance imaging for screening: high-resolution ultrafast dynamic imaging. Invest Radiol 49:579–585
Goto M, Sakai K, Yokota H et al (2018) Diagnostic performance of initial enhancement analysis using ultra-fast dynamic contrast-enhanced MRI for breast lesions. Eur Radiol 29:1164–1174
doi: 10.1007/s00330-018-5643-4
Herrmann KH, Baltzer PA, Dietzel M et al (2011) Resolving arterial phase and temporal enhancement characteristics in DCE MRM at high spatial resolution with TWIST acquisition. JMRI 34:973–982
doi: 10.1002/jmri.22689
Honda M, Kataoka M, Onishi N et al (2020) New parameters of ultrafast dynamic contrast-enhanced breast MRI using compressed sensing. JMRI 51:164–174
doi: 10.1002/jmri.26838
Ohashi A, Kataoka M, Kanao S et al (2019) Diagnostic performance of maximum slope: a kinetic parameter obtained from ultrafast dynamic contrast-enhanced magnetic resonance imaging of the breast using k-space weighted image contrast (KWIC). Eur J Radiol 118:285–292
doi: 10.1016/j.ejrad.2019.06.012
Shin SU, Cho N, Kim SY, Chang JM, Moon WK (2020) Time-to-enhancement at ultrafast breast DCE-MRI: potential imaging biomarker of tumour aggressiveness. Eur Radiol 30:4058–4068
Milon A, Vande Perre S, Poujol J et al (2019) Abbreviated breast MRI combining FAST protocol and high temporal resolution (HTR) dynamic contrast enhanced (DCE) sequence. Eur J Radiol 117:199–208
doi: 10.1016/j.ejrad.2019.06.022
Lee SJ, Ko KH, Jung HK, Koh JE, Park AY (2020) The additional utility of ultrafast MRI on conventional DCE-MRI in evaluating preoperative MRI of breast cancer patients. Eur J Radiol 124:1–9
Lauby-Secretan B, Scoccianti C, Loomis D et al (2016) International Agency for Research on Cancer Handbook Working Group. Body fatness and cancer: viewpoint of the IARC Working Group. N Engl J Med 375:794–798
doi: 10.1056/NEJMsr1606602
Trentham-Dietz A, Newcomb PA, Storer BE et al (1997) Body size and risk of breast cancer. Am J Epidemiol 145:1011–1019
doi: 10.1093/oxfordjournals.aje.a009057
Lyengar NM, Arthur R, Manson JE et al (2019) Association of body fat and risk of breast cancer in postmenopausal women with normal body mass index: a secondary analysis of a randomized clinical trial and observational study. JAMA Oncol 5:155–163
doi: 10.1001/jamaoncol.2018.5327
Platel B, Mus RD, Welte T, Karssemeijer N, Mann R (2014) Automated characterization of breast lesions imaged with an ultrafast DCE-MR protocol. IEEE Trans Med Imaging 33:225–232
Mus RD, Borelli C, Bult P et al (2017) Time to enhancement derived from ultrafast breast MRI as a novel parameter to discriminate benign from malignant breast lesions. Eur J Radiol 89:90–96
doi: 10.1016/j.ejrad.2017.01.020