Time to enhancement derived from ultrafast breast MRI as a novel parameter to discriminate benign from malignant breast lesions.

Autor: Mus RD; Department of Radiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525GA Nijmegen, The Netherlands. Electronic address: aroel.mus@radboudumc.nl., Borelli C; Department of Radiology, Scientific Institute 'Casa Sollievo della Sofferenza' Hospital, Viale Cappuccini 1, 71013, San Giovanni Rotondo, Foggia, Italy; Department of Radiology, Radboud University Medical Center (internal address 766), Geert Grooteplein Zuid 10, 6525GA Nijmegen, The Netherlands. Electronic address: cristinaborelli@hotmail.it., Bult P; Department of Pathology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525GA Nijmegen, The Netherlands. Electronic address: peter.bult@radboudumc.nl., Weiland E; Siemens Healthcare, Erlangen, Germany. Electronic address: elisabeth.weiland@siemens.com., Karssemeijer N; Department of Radiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525GA Nijmegen, The Netherlands. Electronic address: nico.karssemeijer@radboudumc.nl., Barentsz JO; Department of Radiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525GA Nijmegen, The Netherlands. Electronic address: jelle.barentsz@radboudumc.nl., Gubern-Mérida A; Department of Radiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525GA Nijmegen, The Netherlands. Electronic address: albert.gubernmerida@radboudumc.nl., Platel B; Department of Radiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525GA Nijmegen, The Netherlands. Electronic address: bram.platel@radboudumc.nl., Mann RM; Department of Radiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525GA Nijmegen, The Netherlands. Electronic address: ritse.mann@radboudumc.nl.
Jazyk: angličtina
Zdroj: European journal of radiology [Eur J Radiol] 2017 Apr; Vol. 89, pp. 90-96. Date of Electronic Publication: 2017 Jan 20.
DOI: 10.1016/j.ejrad.2017.01.020
Abstrakt: Objectives: To investigate time to enhancement (TTE) as novel dynamic parameter for lesion classification in breast magnetic resonance imaging (MRI).
Methods: In this retrospective study, 157 women with 195 enhancing abnormalities (99 malignant and 96 benign) were included. All patients underwent a bi-temporal MRI protocol that included ultrafast time-resolved angiography with stochastic trajectory (TWIST) acquisitions (1.0×0.9×2.5mm, temporal resolution 4.32s), during the inflow of contrast agent. TTE derived from TWIST series and relative enhancement versus time curve type derived from volumetric interpolated breath-hold examination (VIBE) series were assessed and combined with basic morphological information to differentiate benign from malignant lesions. Receiver operating characteristic analysis and kappa statistics were applied.
Results: TTE had a significantly better discriminative ability than curve type (p<0.001 and p=0.026 for reader 1 and 2, respectively). Including morphology, sensitivity of TWIST and VIBE assessment was equivalent (p=0.549 and p=0.344, respectively). Specificity and diagnostic accuracy were significantly higher for TWIST than for VIBE assessment (p<0.001). Inter-reader agreement in differentiating malignant from benign lesions was almost perfect for TWIST evaluation (κ=0.86) and substantial for conventional assessment (κ=0.75).
Conclusions: TTE derived from ultrafast TWIST acquisitions is a valuable parameter that allows robust differentiation between malignant and benign breast lesions with high accuracy.
(Copyright © 2017 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
Externí odkaz: