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Utilizing Synthetic MRI and Amide Proton Transfer-Weighted MRI to Distinguish Malignant from Benign Sinonasal Lesions
Ying Xiang1, Qiujuan Zhang1, Xin Chen1, HongHong Sun1, Xiaohui Li1, Xiaocheng Wei2, Jinman Zhong1, Bo Gao1, Wei Huang1, Wenbin Liang1, Haiqiao Sun1, and Quanxin Yang1
1Radiology, Second Affiliated Hospital of Xi’an Jiaotong University, Xi'an,Shaanxi, China, 2GE Healthcare, MR Research, Beijing, China

Synopsis

Keywords: Head & Neck/ENT, CEST & MT, Synthetic imaging, Sinonasal Lesions, APT

Motivation: Distinguishing between benign and malignant sinonasal lesions is crucial for determining the appropriate treatment regimen and predicting patient outcomes.

Goal(s): To evaluate the performance of synthetic MRI (SyMRI), combined with amide proton transfer (APT)-weighted MRI (APTw) in differentiating between malignant and benign sinonasal lesions.

Approach: Eighty patients with sinonasal lesions were underwent the SyMRI and ATPw scan and the quantitative parameters were analyzed.

Results: T1, T2, PD and APT values were significant between the benign and malignant groups. Combined SyMRI and APTw had the best diagnostic efficiency.

Impact: Combined the SyMRI with APTw would function as a quantitative and contrast-free approach, significantly enhancing the differentiation of benign and malignant sinonasal lesions. This method also helps overcome the limitations associated with the superficial nature of nasal endoscopic sampling.

Introduction

A broad spectrum of tumors and tumor-like lesions is common in the sinonasal region, composing approximately 3 % of all head and neck tumors[1-2]. The clinical presentations of sinonasal lesions are always nonspecific[3],as well as there was different prognosis and therapy strategy between benign and malignant entities[4-5]. Thus, the identification of benign and malignant sinonasal lesions is of great importance for therapeutic decisions and prognosis. Various MR techniques have been investigated on this topic[6-8]. SyMRI, also known as Magnetic Resonance Image Compilation (MAGiC), represents a relatively recent quantitative MR technique. By employing a multi-echo and multi-delay acquisition approach, SyMRI simultaneously yields a range of relaxometry mappings, including longitudinal relaxation time (T1), transverse relaxation time (T2), and proton density (PD). These mappings provide insights into microstructural distinctions at the cellular level within lesions[9]. Meanwhile, another novel molecular contrast imaging technique termed as amide proton transfer (APTw) could be used for detecting and quantifying endogenous cytoplasmic protein without exogenous contrast agent[10]. At present, there were no relevant reported studies of sinonasal masses concerning the utilization of the SyMRI and APTw imaging. Given that inherent microstructural features may be reflected through relaxation and APT rate, this study aims to assess the diagnostic capabilities of MAGiC and APTw imaging in distinguishing between benign and malignant sinonasal lesions.

Methods

Our institutional review board approved this study, and the informed consent was waived due to the retrospective nature. From March 2021 to March 2023, a total of 80 patients (31 malignant and 49 benign) who were underwent the syMRI and APTTw examination with sinonasal lesions were selected for the study. All of the examinations were performed using a 3-T MRI system (Architect, GE Healthcare) equipped with a 16-channel head coil (scan parameters were detailed in Table 1). After scan, data were digitally transferred to the dedicated Advantage Windows workstation (GE Healthcare, AW 4.4 and 4.7) and vendor provided post-processing programs (MAGiC, v. 100.1.1 and Functool 9.4) were adopted to generate T1, T2 and PD maps from MAGiC sequence, as well as APT asymmetry maps (APT%) from APTw sequence, respectively. Subsequently, a region of interest (ROI) was manually delineated to encompass the maximum cross-sectional tumor areas, as illustrated in Figure 2. Diagnostic efficacy of single and combined parameters for differentiating malignant and benign lesions was evaluated with receiver operating characteristic (ROC) and regression analyses.

Results

All of 80 patients with 31 malignant and 49 benign lesions were included (Table 3.). There were no significant differences in gender, age and diameters between the two groups (P < 0.05 ). As presented in Figure 4, syMR-derived parameters’ values were significantly higher and APT values was lower in benign than malignant lesions (P < 0.05). The ROC analysis showed that the AUCs of the syMRI-derived quantitative values and APT % ranged from 0.677 to 0.739 for differential diagnosis between benign and malignant sinonasal lesions. The AUC of combined SyMRI-derived multiple parameters (T1, T2, PD ) and APT were higher than that of any single parameter, which was significantly improved(Figure 5a). The SyMRI-derived multiple parameters and APT % were included in the regression analysis. The multivariate analysis revealed T2 and APT values were independent predictors for evaluating benign and malignant groups (Figure 5b).

Discussion

The present study explored the clinical value of synthetic MRI–derived quantitative mapping and its combination with APT in distinguishing benign from malignant sinonasal entities. The results revealed that, on average, T1, T2, and PD values were higher in benign lesions compared to malignant ones. This disparity can be attributed to the elevated cellularity and nuclear-to-cytoplasmic ratios typically found in malignant lesions, which, in turn, result in a corresponding reduction in the extracellular fluid space and free water content. Consequently, this leads to lower T1, T2, and PD values in malignant lesions[9]. Meanwhile, since APTw is achieved by detection of the chemical exchange rate between amide proton and bulk water, it tends to exhibit higher values in cases of malignant tumors characterized by heightened cellular proliferation activity and protein synthesis relative to benign lesions. Notably, the optimal diagnostic performance was attained when SyMRI and APTw were employed in combination, surpassing the diagnostic capabilities of individual parameters.

Conclusion

The findings indicate that synthetic MRI and APTw-derived quantitative parameters were served as a noninvasive means for distinguishing between benign and malignant sinonasal lesions. This approach holds potential value in preoperative treatment planning and prognostic assessments for patients, all without the need for exogenous contrast agents.

Acknowledgements

No acknowledgement found.

References

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Figures

Table 1. MRI acquisition parameters. TE, echo time; TR, repetition time; TSE, turbo spin echo, NA, not applicable.

Figure 2. Case 1: a 29-year-old male patient was hospitalized with Sinusitis with inflammatory polyps. Case 2: a 69- year-old man was diagnosed as Malignant melanoma. (a, f) T2-weighted imaging of SyMRI; (b, g) T1 map; (c, h) T2 map; (d,i) PD map; (e, j) APT imaging fused with T2-weighted imaging of SyMRI.The ROI manually drawn along the border of the tumor on T2-weighted imaging of SyMRI.

Table 3. Flow diagram for selection process of patients

Figure 4. Comparisons of the mean (a) T1, (b) T2, (c) PD and (d) APT values of benign and malignant sinonasal lesions using the Student t test or Wilcoxon test. The summary table (e) displayed the relationship of quantitative parameters between the benign and malignant groups. Data are mean ± SD; Statistical difference.T1, T1 relaxation time; T2, T2 relaxation time; PD, proton density; APT, Amide proton transfer; ICC, intraclass correlation coefficient; SD, standard deviation. T1, T2 and PD values are derived from synthetic MRI; CI, confidence interval.

Figure 5. (a) Receiver operating characteristic curves of the T1, T2, PD and APT values for distinguishing benign from malignant lesions. (b) Forest plot of multivariate logistic regression showed T2 and APT values were independent predictors for evaluating benign and malignant groups.T1, T1 relaxation time; T2, T2 relaxation time; PD, proton density; APT, Amide proton transfer.

Proc. Intl. Soc. Mag. Reson. Med. 32 (2024)
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DOI: https://doi.org/10.58530/2024/1947