Akane Ohashi1, Masako Kataoka1, Syotaro Kanao1, Mami Iima1, Onishi Natsuko1, Makiko Kawai1, Masakazu Toi2, Elizabeth Weiland3, and Kaori Togashi1
1Department of Diagnostic Imaging and Nuclear Medicine, Kyoto Univercity Graduate School of Medicine, Kyoto, Japan, 2Breast Surgery, Kyoto Univercity, Kyoto, Japan, 3Siemens Healthcare GmbH, Erlangen, Germany
Synopsis
Maximum slope (MS) is a
kinetic parameter obtained from the very early phase of
ultrafast DCE MRI. Diagnostic performance of MS in breast lesions were compared
to washout index (WI), a conventional semi-quantitative kinetic parameters
obtained from standard DCE MRI. Ultrafast DCE MRI was obtained using KWIC and
analyzed by TWIST Breast Viewer. MS demonstrated significantly higher AUC (0.91)
than WI (0.80, p=0.03) with fewer false positive cases of fibrocystic changes
than WI. MS is a promising kinetic parameters that provides information
complimentary to WI in diagnosing breast lesions. PURPOSE
Kinetic information - particularly the delayed washout phase kinetic
curve - obtained by breast dynamic contrast enhanced (DCE) MRI is crucial in
diagnosing breast lesions
1. However, low specificity is a problem in DCE-MRI
2. Some studies suggested the value of perfusion
analysis using very early phase of DCE MRI
3. Mann et al. showed the
usefulness of the Maximum slope (MS) as a novel dynamic parameter for ultrafast
DCE MRI. Recently, image acquisition with higher temporal / spatial resolution becomes
possible using K-space weighted Imaging Contrast (KWIC: prototype sequence),
which is one of the K-space acquisition and reconstruction schemes
4.
With this radial KWIC technique, a spatial resolution of 1.0 x 1.0 x 2.5 mm
3,
a temporal resolution of 3.75 seconds can be achieved. The purpose of this
study is
to evaluate diagnostic performance of MS obtained by ultrafast DCE MRI
using KWIC acquisition compared to standard DCE MRI kinetic parameter in breast lesions.MATERIALS AND METHODS
Study population: In total 94 consecutive patients with 106 enhancing
lesions (60 malignant / 46 benign lesions). Pathological diagnosis of malignant
lesions consisted of 54 Invasive cancer NST, four DCIS and two Invasive lobular
cancers (ILC). Benign lesions consisted of 27 fibrocystic changes (FCC), 10
fibroadenomas (FA), three intraductal papillomas, two inflammatory lesions, and
four other benign lesions.
MR Image acquisition: Breast
MRI studies were performed with a 3.0T scanner (MAGNETOM Trio, A Tim System,
Siemens AG) with 16ch dedicated bilateral breast coil. Routinely, T2-weighted,
T1-weighted, diffusion weighted and fat-suppressed T1-weighted DCE images were
obtained. Acquisitions of a non-product KWIC sequence were
obtained 0-1 min after gadolinium injection (TR/TE 3.57/1.68, FA 15,
1.0x1.0x2.5 mm3/voxel, 3.75 sec/frame, 16 frames). Two post contrast standard DCE images
were obtained immediately after KWIC protocol. (TR/TE
3.85/1.47, FA 15, 0.86x0.95x1.0mm3/voxel, 60 sec/frame).
Image analysis and statistical analysis: The Maximum Slope (MS), a parameter to quantify contrast inflow in
ultrafast DCE MRI, was evaluated using dedicated software (TWIST Breast Viewer
prototype) and calculated its percentage relative enhancement/second [%/s]. For the KWIC acquisitions, the curve
was obtained from a 3x3x2.5voxel region of interest (ROI),that showed the
highest MS value. MS map and the corresponding time intensity curve (TIC) of
typical lesion (Invasive cancer NST) are shown in Fig 1. As a semi-quantitative
parameter for conventional DCE, we evaluated the washout
index (WI) in ROI with highest washout with same
voxel size as for MS. WI was defined as
WI=(SI delay-SI early)/ SI pre x100 (%).Diagnostic performance
(malignant/benign differentiation) of MS and WI were initially compared using
ROC analysis. Optimal cut-off point for diagnosing malignant lesions were
determined as the value that maximize Youden index to calculate sensitivity and
specificity of MS and WI. Subanalysis for 78 mass / 28 non-mass lesions were
performed.
RESULTS
MS demonstrated high diagnostic performance with area under the curve (AUC) of 0.91. Comparing diagnostic performance of MS and WI, MS shows significantly
higher AUC than WI (0.91 vs 0.80; P=0.03 )(Fig 2).
With the optimal cut-off value of above 12.2 % for MS,
and below -25 for WI, sensitivity and specificity of MS and WI were calculated
(Tab 1). MS showed high specificity (87%) with slightly low sensitivity (83%).
WI showed high sensitivity (94%) but low specificity (59%). Cases with
discrepant diagnosis, i.e.false positive / negative cases for MS and WI were
further analyzed for its association with pathological diagnosis (Tab 2). Of
note, 12 lesions of fibrocystic changes were
falsely diagnosed as malignant on WI while correctly diagnosed as benign based
on low MS value. MS map and the corresponding TIC of WI false positive case are
shown in Fig 3.
DISCUSSION
Our results of high AUC (0.91) is better than the
previous report using MS (AUC 0.83) 3 and support the value of MS as a promising novel
kinetic parameters. MS can compensate for the weakness of low specificity in
standard DCE MRI. Better specificity
(=low false positive rate) of MS may be explained by more accurate diagnosis of
fibrocystic changes, which often show malignant wash-out pattern. Although
diagnosis using MS only can shorten scanning time, MS has a drawbacks of
underdiagnosis in some invasive cancer NST, ILC, and DCIS with relatively low
perfusion. Combining MS with other parameters including WI, margin or other
BI-RADS descriptor and ADC may help to further improve diagnostic accuracy
CONCLUSIONS
MS obtained with ultrafast DCE breast MRI using
KWIC is a promising kinetic parameter in diagnosing malignant breast lesions showing
higher AUC. MS can compensate for low specificity in WI in standard DCE.
Acknowledgements
This work was
supported by JSPS KAKENHI Grant Number 15K09922.References
1 Mann et
al, Eur Radiol 18(7):1307-18 (2008)
2 Kuhl et
al. Radiology 244 : 672-691 (2007)
3 Mann
et al, Investigative Radiology 49:579-585 (2014)
4 Song, et al. MRM 44:825-832 (2000)