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Diagnostic performance of gadofosveset-enhanced axillary MRI for nodal (re)staging in breast cancer patients: results of a validation study.

Authors :
van Nijnatten TJA
Schipper RJ
Lobbes MBI
van Roozendaal LM
Vöö S
Moossdorff M
Paiman ML
de Vries B
Keymeulen KBMI
Wildberger JE
Smidt ML
Beets-Tan RGH
Source :
Clinical radiology [Clin Radiol] 2018 Feb; Vol. 73 (2), pp. 168-175. Date of Electronic Publication: 2017 Oct 10.
Publication Year :
2018

Abstract

Aim: To evaluate diagnostic performance of gadofosveset (GDF)-enhanced magnetic resonance imaging (MRI) in addition to T2-weighted (T2W) MRI for nodal (re)staging in newly diagnosed breast cancer patients.<br />Materials and Methods: Ninety patients underwent axillary T2W- and GDF-MRI. Two radiologists independently scored each lymph node; first on T2W-MRI, subsequently adjusting their score on GDF-MRI. Diagnostic performance parameters were calculated on node-by-node and patient-by-patient validation with histopathology as the reference standard. Furthermore, learning curve analysis for reading GDF-MRI was performed.<br />Results: In patient-by-patient validation, overall reader performances for T2W- and GDF-MRI were similar with area under the receiver operating characteristic curves (AUC) of 0.75 and 0.77 (p=0.731) for reader 1 and 0.79 and 0.72 (p=0.156) for reader 2. For node-by-node validation, AUC values of T2W- and GDF-MRI were 0.76 and 0.82 (p=0.018) and 0.77 and 0.77 (p=0.998) for reader 1 and 2. The AUC for reader 1 was 0.71 for first one-third of nodes evaluated, improving to 0.80 and 0.95 for the next and last one-third, respectively. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) improved from 38%, 89%, 56%, and 79% to 60%, 93%, 64%, and 92%. The AUC of reader 2 improved from 0.69 to 0.79.<br />Conclusion: The present study confirmed that GDF-MRI, in addition to T2W-MRI, has potential as a non-invasive method for nodal (re)staging in breast cancer.<br /> (Copyright © 2017 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1365-229X
Volume :
73
Issue :
2
Database :
MEDLINE
Journal :
Clinical radiology
Publication Type :
Academic Journal
Accession number :
29029766
Full Text :
https://doi.org/10.1016/j.crad.2017.09.005