Rie Ota1, Masako Kataoka1, Maya Honda1, Mami Iima1, Kanae Kwai Miyake1, Akane Ohashi2, Yosuke Yamada3, Masakazu Toi4, and Yuji Nakamoto1
1Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University graduate school of medicine, Kyoto, Japan, 2Kyoto Medical Center, Kyoto, Japan, 3Department of Pathology, Kyoto University Hospital, Kyoto, Japan, 4Department of Breast Surgery, Kyoto University Hospital, Kyoto, Japan
Synopsis
This study aimed to examine the performance of DWI in diagnosing
pCR before surgery. Kinetic analysis from standard DCE-MRI were analyzed for
comparison. ROC analysis for diagnosing pCR
based on DWI score/Kinetic score by two readers was performed. Kinetic score showed slightly higher
AUC while 95% confidence interval overlapped with that of DWI score. Both kinetic score and DWI score demonstrated excellent diagnostic
performance among triple negative subtype compared to other
subtypes.
Introduction:
For locally-advanced breast cancer, preoperative
neoadjuvant systemic treatment (NST) is recommended. When the cancer shrinks
and even disappears (pathological complete response: pCR) after NST, surgery
may be minimized with favorable outcome. Breast MRI is used in evaluating
residual cancer. However, accurate diagnosis of pCR is difficult due to various
enhancement pattern after treatment. Fibrosis or inflammation may be enhanced, mimicking residual tumor.
Incorporating kinetic analysis may help in identifying viable tumor1,2,
while diffusion-weighted images (DWI) can be used to evaluate residual tumor. This
study aimed to examine the performance of DWI in diagnosing pCR before surgery. Kinetic analysis from
standard DCE-MRI were analyzed for comparison.Materials & Methods:
In total 116 lesions from 114 patients who
underwent pre-surgical MRI evaluation after NST were included. Breast MRI was
performed with a 3T scanner (Prisma /Trio : Siemens AG, Erlangen, Germany). MR
images were obtained using routine protocols sequence: T1WI, T2WI, DWI (axial
single-shot EPI; TR/TE, 6300-7000/50-62ms; pixel size 2x2x3 mm; NEX, 3; b=0,
1000sec/mm2), Dynamic MRI (pre, 1-2, 5-6 min post-contrast; axial
VIBE with fat suppression; TR/TE, 3.8/1.4ms; 0.9x 0.9x1 mm).
DWI of the target lesion was scored as
3-point scale (2: obvious high signal intensity, 1: small focus of high –
intermediate signal intensity, 0: no abnormal signal).
Kinetic patterns of the lesions on DCE-MRI were
scored as 3: washout, 2: plateau, 1: persistent, and 0: no enhancement.Results:
Pathological diagnosis
of the 116 lesions were as follows; invasive ductal carcinoma (n=103), invasive
lobular carcinoma (n=2), invasive micro papillary carcinoma (n=5), mucinous
carcinoma (n=3), metaplastic carcinoma (n=2) invasive apocrine carcinoma (n=1).
out of 116 (42.2%)
lesions achieved pCR while 67 out
of 116 (57.8%)lesions were categorized as non-pCR.
DWI score: The number of patients scored as DWI 2, 1, 0 were 59, 23
and 34 for reader 1, 52, 32 and 32 for reader 2. DWI score of the two readers
agreed on 106 lesions (88.3%) with kappa value of 0.85 (95% Confidence Interval
(CI): 0.78-0.93), suggesting excellent agreement. DWI score was associated with residual disease in both reader 1 and 2. ROC analysis
showed area under the ROC curve (AUC) of 0.84 (95% CI: 0.75-0.90) for reader 1. A cut-off
value of score 1 or above resulted in sensitivity /specificity of 75.7% and
84.0%. For reader 2, ROC analysis showed AUC of
0.84 (95% CI: 0.76 - 0.90).
Kinetic
score: The number of patients scored
as kinetic score 3, 2, 1, 0 were 45, 18, 33 and 20, for reader 1, 42, 12, 38 and 24 for reader 2 respectively. Kinetic
score of the two readers agreed on 93 lesions (80.2%) with kappa value of 0.81 (95%CI: 0.73-0.89), suggesting excellent
agreement. Kinetic score was
associated with residual disease in both reader 1 and 2.
ROC analysis showed AUC of 0.87 (95% CI: 0.80 -0.93) and 0.85 (0.76 - 0.91) for reader 2 respectively.
Subtype analysis:
In general, kinetic score showed slightly
higher AUC while 95% confidence interval overlapped with that of DWI score. Both
kinetic score and DWI score demonstrated excellent diagnostic performance among
triple negative subtype compared to other subtype with AUC of
0.88-0.95. For luminal subtype, DWI score tended to perform better than kinetic
score. Discussion:
Our results suggest that DWI-based analysis showed
diagnostic performance similar to kinetic analysis. Kinetic analysis looked at
the vascularity as a marker of viable residual tumor, while DWI-based images
are associated with cellular component of the residual tumor. Both kinetic and DWI
score performed better in predicting pCR for triple-negative subtype with AUC
of nearly 90%. Although the DWI showed slightly lower AUC, DWI has the
advantage of non-contrast images and may be better in predicting residual tumor
among luminal subtype
The above results
indicate the need of different strategy based on subtype when evaluating
residual tumors after NST.Conclusions:
DWI score can be used to evaluate pCR with diagnostic
performance similar to that in kinetic score. in triple
negative subtypes. Acknowledgements
No acknowledgement found.References
- Shin, H. J., et al. (2016). "Tumor apparent diffusion coefficient as an imaging biomarker to predict tumor aggressiveness in patients with estrogen-receptor-positive breast cancer." NMR Biomed 29(8): 1070-1078.
- Kim, S. Y., et al. (2018). "Dynamic Contrast-enhanced Breast MRI for Evaluating Residual Tumor Size after Neoadjuvant Chemotherapy." Radiology 289(2): 327-334.
- Marinovich, M.L., et
al., Meta-analysis of magnetic resonance
imaging in detecting residual breast cancer after neoadjuvant therapy. J
Natl Cancer Inst, 2013. 105(5): p.
321-33.
- Liu,
S., et al., Diffusion-weighted imaging in
assessing pathological response of tumor in breast cancer subtype to
neoadjuvant chemotherapy. J Magn Reson Imaging, 2015. 42(3): p. 779-87
- Gao, W., et al. (2018). "Diffusion-weighted imaging in monitoring the pathological response to neoadjuvant chemotherapy in patients with breast cancer: a meta-analysis." World J Surg Oncol 16(1): 145.
- Partridge, S. C. and E. S. McDonald (2013). "Diffusion weighted magnetic resonance imaging of the breast: protocol optimization, interpretation, and clinical applications." Magn Reson Imaging Clin N Am 21(3): 601-624.
- Khokher, S., et al. (2012). "Comparison of WHO and RECIST criteria for evaluation of clinical response to chemotherapy in patients with advanced breast cancer." Asian Pac J Cancer Prev 13(7): 3213-3218.