Nan Zhang1, Qingwei Song1, Lina Zhang1, Ailian Liu1, Haonan Zhang1, Yu Song1, Liangjie Lin2, Jiazheng Wang2, and Zhiwei Shen2
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China
Synopsis
Amide proton transfer (APT) imaging is based on the chemical exchange between free bulk water protons and the amide protons (-NH) of endogenous mobile proteins and peptides in tissue. Previous studies have shown that APT-weighted (APTw) MRI could noninvasively identify and differentiate tumors in brain, head and neck etc. This study aims to explore the feasibility of APTw-MRI in characteristics and discrimination of premenopausal malignant and benign breast tumors.The results show that the APTw MR imaging efficiency of diagnosis of premenopausal breast tumors were 0.904.
Purpose
To explore the value of amide proton transfer-weighted (APTw) MR imaging for differential diagnoses of premenopausal malignant and benign breast tumors.Introduction
The sensitivity of APTw to these subtle chemical changes may provide complementary biomarkers of pathologic findings to conventional (T1- and T2-weighted) MR imaging while providing fundamentally different information than that provided with established quantitative techniques.Previous studies have shown that APT-weighted (APTw) MRI were feasible in human breast on 7T MRI1,2 and possible feasibility assessing chemotherapy response on 3T MRI3,4.Methods
In this prospective study, a total of 18 premenopausal female patients (46.56±11.38,range:23-58years) were enrolled and informed consent was acquired from each patient. All patients were imaged using a 3.0 T whole-body MR scanner (Philips Ingenia CX, Philips Healthcare, the Netherlands) with a dedicated seven-channel bilateral phase-array breast coil. Specifically, group 1 included 12 patients with malignant breast tumors, and group 2 included 6 patients with benign breast tumors. APTw MR imaging (Table1) and conventional MR imaging (T1WI, T2WI, and DCE) were acquired. The region of interest (ROI) was obtained manually on the APTw MR images, DCE image was used to help drawing the ROIs, which corresponding with the most enhanced part of the lesion on DCE(Fig1 and Fig2). The mean value of ROI measurements was used as the final APTw values of lesions. The measured image parameters (APTw values, maximal lesion diameter) and age were compared between two groups, and the diagnostic performance based on parameters was quantified with ROC curve. Results
There was no significant difference in age and maximal lesion diameter between two groups (p = 0.985, 0.342). The APTw maps are shown as overlays on the anatomical images with the highest correspondence in 18 tumors . The intraclass correlation coefficients (ICC, 0.96 and 0.90 for group 1 and 2, respectively) indicate a good inter-observer agreement of the measured APTw values(Fig1&Fig2). APTw values of malignant lesions were significantly higher than those of benign lesions (3.26 ± 1.15 % &1.54±0.93 %, p <0.001). Area under the curve (AUC) acquired by APTw MRI was 0.904 with an optimal threshold of 2.62% (sensitivity of 81.3%, a specificity of 92.3%, and an accuracy of 86.2 % (Fig. 3).Discussion and Conclusion
APTw MRI detects the transfer of magnetization that is majorly contributed from amide protons (resonating at 3.5 ppm downfield from water). And it can be sensitive to the cellular mobile protein content as well as tissue pH[1-4]. In this study, we have established the inter-observer reproducibility of APTw imaging for detection breast tumors, and presented initial data to show that APTw imaging can also be used to assess effects of age and menstrual-cycle stages (as potential sources of changes in breast biochemistry) on diagnosis of breast tumors. High diagnostic performance can be achieved by APTw values for the differentiation of premenopausal malignant and benign breast tumors. These findings suggest that APTw MRI has good potential to discriminate malignant and benign breast tumors before surgery.Acknowledgements
This work was supported by the grant of the Basic Scientific Research Projects of the Universities in Liaoning Province (5061104) and The Provincical Natural Science Foundation of China (2019-ZD-0907) .References
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