Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2016 Jan;95(4):e2420.
doi: 10.1097/MD.0000000000002420.

Role of the Intravoxel Incoherent Motion Diffusion Weighted Imaging in the Pre-treatment Prediction and Early Response Monitoring to Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer

Affiliations

Role of the Intravoxel Incoherent Motion Diffusion Weighted Imaging in the Pre-treatment Prediction and Early Response Monitoring to Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer

Shunan Che et al. Medicine (Baltimore). 2016 Jan.

Abstract

The aim of this study was to explore whether intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) can probe pre-treatment differences or monitor early response in patients with locally advanced breast cancer receiving neoadjuvant chemotherapy (NAC). Thirty-six patients with locally advanced breast cancer were imaged using multiple-b DWI with 12 b values ranging from 0 to 1000 s/mm(2) at the baseline, and 28 patients were repeatedly scanned after the second cycle of NAC. Subjects were divided into pathologic complete response (pCR) and nonpathologic complete response (non-pCR) groups according to the surgical pathologic specimen. Parameters (D, D*, f, maximum diameter [MD] and volume [V]) before and after 2 cycles of NAC and their corresponding change (Δparameter) between pCR and non-pCR groups were compared using the Student t test or nonparametric test. The diagnostic performance of different parameters was judged by the receiver-operating characteristic curve analysis. Before NAC, the f value of pCR group was significantly higher than that of non-pCR (32.40% vs 24.40%, P = 0.048). At the end of the second cycle of NAC, the D value was significantly higher and the f value was significantly lower in pCR than that in non-pCR (P = 0.001; P = 0.015, respectively), whereas the D* value and V of the pCR group was slightly lower than that of the non-pCR group (P = 0.507; P = 0.676, respectively). ΔD was higher in pCR (-0.45 × 10(-3) mm(2)/s) than that in non-pCR (-0.07 × 10(-3) mm(2)/s) after 2 cycles of NAC (P < 0.001). Δf value in the pCR group was significantly higher than that in the non-pCR group (17.30% vs 5.30%, P = 0.001). There was no significant difference in ΔD* between the pCR and non-pCR group (P = 0.456). The prediction performance of ΔD value was the highest (AUC [area under the curve] = 0.924, 95% CI [95% confidence interval] = 0.759-0.990). When the optimal cut-off was set at -0.163 × 10(-3) mm(2)/s, the values for sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were up to 100% (95% CI = 66.4-100), 73.7% (95% CI = 48.8-90.9), 64.3% (95% CI = 35.6-86.0), and 100% (95% CI = 73.2-99.3), respectively. IVIM-derived parameters, especially the D and f value, showed potential value in the pre-treatment prediction and early response monitoring to NAC in locally advanced breast cancer. ΔD value had the best prediction performance for pathologic response after NAC.

PubMed Disclaimer

Conflict of interest statement

The authors have no conflicts of interest to disclose.

Figures

FIGURE 1
FIGURE 1
A 51-year-old woman with invasive ductal carcinoma who was enrolled into the pCR group. Images in each vertical row are from 2 measurement time-points: before NAC (NAC-pre) and after 2 cycles of NAC (NAC-mid). A, The tumor shrunk obviously after 2 NAC cycles. B, The D value increased significantly from 0.906 × 10–3 to 1.310 × 10–3 mm2/s after the therapy. C, The D value decreased significantly from 40.4 × 10–3 to 13.8 × 10–3 mm2/s after 2 cycles of NAC. D, The f value significantly decreased to 14.2% after the NAC initiation, which was 35.7% before NAC.
FIGURE 2
FIGURE 2
A 75-year-old woman with invasive ductal carcinoma who was classified as the non-pCR group. Images in each vertical row are from 2 measurement time-points: before NAC (NAC-pre) and after 2 cycles of NAC (NAC-mid). A, The tumor reduced mildly after 2 NAC cycles. B, The D value increased slightly from 1.110 × 10–3 to 1.410 × 10–3 mm2/s after the therapy. C, The D value increased from 14.8 × 10–3 to 27.4 × 10–3 mm2/s after 2 cycles of NAC. D, The f value slightly decreased to 21.4% after the NAC initiation, which was 29.2% before NAC.
FIGURE 3
FIGURE 3
Box and whisker plot shows the parameters (D, D, and f) before and after 2 cycles of NAC, and their corresponding change (Δparameter) and the shrinkage of mass (ΔMD% and ΔV%) between pCR and non-pCR groups. The dotted line represents a cutoff value calculated by the ROC analysis. The f-pre and D-mid in pCR were significantly higher than that in non-pCR. The f-mid in pCR was significantly lower than that in non-pCR. The f, MD, and V values were decreased more in pCR than in non-pCR. By contrast, the D was increased more in pCR than in non-pCR.
FIGURE 4
FIGURE 4
Receiver-operating characteristic curve analyses of parameters deriving from IVIM model and their changes for the prediction of the pathologic responses. The area under the curve (AUC) of the D, D, and f value in pretreatment (D-pre, D-pre, f-pre) was 0.600, 0.538, and 0.701, respectively. The AUC of the D, D, and f value after 2 cycles of NAC (D-mid, D-mid, f-mid) was 0.851, 0.579, and 0.772, respectively. The AUC of the change of parameters (Δparameter) after the chemotherapy was 0.924 for ΔD, 0.550 for ΔD, and 0.906 for Δf.
FIGURE 5
FIGURE 5
Scatter plots of the mass shrinkage percentage versus D-pre(A), f-pre(B), D-mid(C), f-mid(D), ΔD(E), and Δf(F). The P values and corresponding correlation coefficient (r value) for the spearman correlation tests were represented for each plot. The linear least-squares fit was depicted if there was a significant correlation.

References

    1. EBCTCG. Effects of chemotherapy and hormonal therapy for early breast cancer on recurrence and 15-year survival: an overview of the randomised trials. Lancet 2005; 365:1687–1717. - PubMed
    1. Kaufmann M, von Minckwitz G, Mamounas EP, et al. Recommendations from an international consensus conference on the current status and future of neoadjuvant systemic therapy in primary breast cancer. Ann Surg Oncol 2012; 19:1508–1516. - PubMed
    1. Rastogi P, Anderson SJ, Bear HD, et al. Preoperative chemotherapy: updates of National Surgical Adjuvant Breast and Bowel Project Protocols B-18 and B-27. J Clin Oncol 2008; 26:778–785. - PubMed
    1. Ahmed MI, Lennard TW. Breast cancer: role of neoadjuvant therapy. Int J Surg 2009; 7:416–420. - PubMed
    1. McGuire KP, Toro-Burguete J, Dang H, et al. MRI staging after neoadjuvant chemotherapy for breast cancer: does tumor biology affect accuracy? Ann Surg Oncol 2011; 18:3149–3154. - PubMed

Publication types

MeSH terms