Diagnostic Performance of Maximum Slope as a Novel Kinetic Parameters in High Resolution Ultrafast Dynamic Contrast Enhanced Breast MRI using KWIC
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 schemes4. 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)

Figures

Figure 1: Color map of Maximum slope (MS) of invasive cancer NST (Left). High MS area above 12.2 is seen on MS map. The corresponding time intensity curve is shown (Right). The lesion was evaluated as having the steep curve with MS of 14.27.

Figure 2: ROC curve of Maximum Slope (MS) and Washout Index (WI). MS showed significantly higher AUC (0.91) than WI (0.80)(p=0.03).

Table 1. Sensitivity and Specificity of Maximum Slope (MS) and Washout Index (WI) among all, mass (n=78), and non-mass (n=28) lesions. MS shows high specificity with relatively high sensitivity. WI shows high sensitivity with low specificity. The same tendency was observed for mass lesion.

Table 2. Cases with Discrepant diagnosis (false positive /negative) and their Pathological Diagnosis. Twelve fibrocystic changes were falsely diagnosed as malignant based on WI, but correctly diagnosed as benign based on their low MS value.

Figure 3: Color map of Maximum slope (MS) of fibrocystic change (Left). The lesion shows low MS (4.95) on MS map and categorized as benign The corresponding time intensity curve (Right) shows less steep curve. This benign lesion showed delayed washout and categorized as malignant based on WI.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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