Amide proton transfer (APT) Imaging in Head and Neck Cancer: preliminary results
Benjamin King Hong Law1, Ann D King1, Kunwar S Bhatia1, Anil T Ahuja1, Brigette B Ma2, David Ka-Wai Yeung2, Yi-Xiang Wang1, and Jing Yuan3

1Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, Hong Kong, 2Department of Clinical Oncology, The Chinese University of Hong Kong, Shatin, Hong Kong, 3Medical Physics and Research Department, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong

Synopsis

Amide proton transfer (APT) imaging is a promising functional MRI technique that investigates the chemical exchange processes between free water and mobile amide protons in cancers. It is sensitive to small variations in these amide protons but the potential value of APT imaging in head and neck cancer is unknown. We have shown APT imaging of head and neck cancer is feasible, although the success rate varies with tumour site. No difference was found between the APT parameters of undifferentiated nasopharyngeal carcinoma and head and neck squamous cell carcinoma in this small preliminary study, but larger studies are needed.

Purpose

Amide proton transfer (APT) imaging is a promising functional MRI technique (1-4) that investigates the chemical exchange processes between free water and mobile amide protons in cancer proteins/peptides and is sensitive to small variations in these amide protons. The potential value of APT in head and neck cancer is unknown (5). The aim of this preliminary study was to determine whether APT imaging could be performed successfully in head and neck cancers, and whether it could detect differences between undifferentiated nasopharyngeal carcinoma (NPC) and head and neck squamous cell carcinoma (SCC).

Methods

Patients

This prospective study was performed with local institutional board approval and written informed consent. 20 consecutive patients with undifferentiated NPC and 20 consecutive patients with head and neck SCC were recruited.

Image acquisition

Patients were scanned on a Philips Achieva TX 3-T scanner with a body coil for radiofrequency transmission and a 16-channel neurovascular phased-array coil for reception. T2-weighted images were used to localize the primary tumour and APT was performed through the slice with the greatest tumour diameter using a single-slice TSE sequence with chemical shift-selective fat suppression. Localized high-order shimming was performed to reduce ΔB0. A baseline image without application of the saturation pulse was acquired first, and then the saturated images at positive and negative offsets were obtained in an interleaved fashion at (±0.25, ±0.5, ±1, ±1.5, ±2, ±2.5, ±3, ±3.5, ±4, ±4.5, ±5, ±5.5, ±6.5, ±7.5) parts per million (ppm). Saturation was obtained using a continuous rectangular RF pulse with a B1 field strength of 2 μT and duration of 200 ms. Other imaging parameters were: FOV, 230 × 230mm2; voxel size, 2×2mm2; slice thickness, 4 mm; TE/TR = 8 ms/2000 ms; echo train length (ETL), 14; SENSE factor, 2; partial Fourier factor, 0.7.

Image processing and data analysis

Data processing was performed using a Matlab (MathWorks, Natick, MA, USA) program. The voxel-wise Z spectrum was fitted by a 12th-order polynomial model, and the fitted curve was then interpolated to a finer resolution of 0.001 ppm. The interpolated Z spectra were shifted along the offset axis to correct for ΔB0. The APT effect was quantified by calculating the asymmetric magnetization transfer ratio (MTRasym) at the offset of 3.5ppm The MTRasym image (APTw image) at 3.5ppm and ΔB0 map were produced by calculating the voxel-wise MTRasym and ΔB0 values. In addition, the voxel-wise coefficient of determination R2 was also calculated to evaluate the goodness-of-fit of Z-spectrum fitting. The solid tumour area was contoured (excluding necrosis), the APT mean, standard deviation (SD), skewness and kurtosis were measured and compared between NPCs and SCCs using the Mann Whitney U-test. A p-value of less than 0.05 was considered to indicate a statistically significant difference.

Results

40 patients with head and neck cancer (31 male, 9 female, mean age of 55.7) underwent APT imaging. APT was successful in 19/20 (95%) NPCs (figure 1) and 13/20 (65%) SCCs (figure 2). APT was unsuccessful in SCC sites in the hypopharynx (2/6), larynx (2/3), tongue (2/5) and oropharynx (1/6). No significant differences were found between the APT parameters of NPC and SCC (Table 1).

Discussion

The APT Imaging protocol was set up for use in the head and neck. The technique was successful in a high percentage of tumours in the nasopharynx which is a site less prone to movement. However, it was less successful in SCC which involved other sites along the aerodigestive tract where it failed in one third of patients. It was especially difficult to perform in the larynx where artifact from the adjacent airway and movement degraded the images.

Unlike other functional MRI techniques such as diffusion weighted imaging (DWI) (6), dynamic contrast enhanced (DCE) MRI (7) and proton magnetic resonance spectroscopy (MRS) (8), APT imaging was unable to show any significant difference in the APT parameters of NPC and SCC. However the sample size in this preliminary study was small and in addition the MTRasym was small, so a longer and stronger saturation pulse may be needed in future studies. In addition because of time constraints currently data can only be obtained from one slice which limits the ability of APT to study heterogeneity of the whole tumour.

Conclusion

APT imaging of head and neck cancers is feasible, although the success rate varies with tumour site. No differences between the APT parameters of NPC and SCC have been shown in these preliminary results but larger studies are needed.

Acknowledgements

We would like to acknowledge the valuable technical advice from Dr. Jinyuan Zhou from the Johns Hopkins University. The work described in this paper was fully supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. 141070/14 and SEG CUHK_02).

References

1. Sun PZ, Zhou J, Sun W, Huang J, van Zijl PC. Suppression of lipid artifacts in amide proton transfer (APT) imaging. Magn Reson Med 2005;54(1):222–225.

2. Lu J, Zhou J, Cai C, Cai S, Chen Z. Observation of true and pseudo NOE signals using CEST-MRI and CEST-MRS sequences with and without lipid suppression. Magn Reson Med. 2015;73(4):1615-1622.

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4. Zhou J, Hong X, Zhao X, Gao J-H, Yuan J. APT-weighted and NOE-weighted image contrasts in glioma with different RF saturation powers based on magnetization transfer ratio asymmetry analyses. Magn Reson Med 2013;70(2):320–327.

5. Yuan J, Chen S, King AD, Zhou J, Bhatia KS, Zhang Q, Yeung DK, Wei J, Mok GS, Wang YX. Amide proton transfer-weighted imaging of the head and neck at 3 T: a feasibility study on healthy human subjects and patients with head and neck cancer. NMR Biomed. 2014;27(10):1239-1247.

6. Fong D, Bhatia KS, Yeung D, King AD. Diagnostic accuracy of diffusion-weighted MR imaging for nasopharyngeal carcinoma, head and neck lymphoma and squamous cell carcinoma at the primary site. Oral Oncololgy 2010;46(8):603-606.

7. Lee FK, King AD, Ma BB, Yeung DK. Dynamic contrast enhancement magnetic resonance imaging (DCE-MRI) for differential diagnosis in head and neck cancers. Eur J Radiol 2012;81(4):784-788.

8. King AD, Yeung DK, Ahuja AT, Yuen EH, Ho SF, Tse GM, van Hasselt. Human cervical lymphadenopathy: evaluation with in vivo 1H-MRS at 1.5T. Clin Radiol. 2005;60(5):592-598.

Figures

Figure 1. APT image of a 70-years old male patient with NPC.

Figure 2. APT image of a 38-years old female patient with hypopharyngeal SCC.

Table 1. APT parameters of NPC and SCC.



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