Can Diffusion Weighted MRI Assess Early Response of Lymphadenopathy to Induction Chemotherapy in Nasopharyngeal Cancer: A Heterogeneity Analysis Approach
Manijeh Beigi1, Anahita Fathi Kazerooni1, Mojtaba Safari1, Marzieh Alamolhoda2, Ahmad Ameri3, Shiva Moghdam4, Mohsen Shojaee Moghdam5, and Hamidreza Saligheh Rad1

1Medical Physics and Biomedical Engineering, School of Medicine, Quantitative MR Imaging and Spectroscopy Group, Research Center for Cellular and Molecular Imaging, Institute for Advanced Medical Imaging, Tehran, Iran, 2Statistics, Shiraz University of Medical Science, Shiraz, Iran, 3Oncology, Shahid Beheshti University of Medical Science, Tehran, Iran, 4Oncology, Tehran, Iran, 5Payambaran Imaging Center, Tehran, Iran

Synopsis

Induction chemotherapy is an effective way to control subclinical metastasis in locally-advanced nasopharyngeal cancer patients. Diffusion-weighted MRI is a noninvasive imaging technique allowing some degree of tissue characterization by showing and quantifying molecular diffusion. Histogram analysis on ADC map could be carried out to reveal physiological alterations early after IC. For this purpose, several quantitative metrics from ADC-map were explored to obtain the most accurate feature(s) as potential predictive biomarker for early response of the lymphnode to IC. If the outcome can be predicted at an early stage of the treatment, the patient could be spared from unnecessary treatment toxicity.

400 Cancer

Purpose: Induction chemotherapy (IC) is an effective way to control subclinical metastasis in locally-advanced nasopharyngeal cancer patients. If the outcome can be predicted at an early stage of the treatment, the patient could be spared from unnecessary treatment.1,2,3 In this light, the aim of the present study is to find appropriate metrics for assessing adenopathy’s response through quantification of the heterogeneity in diffusion-weighted images (DWI) of lymph nodes (LN) early after initiation of IC. Subjects/Method: The study group consisted of 7 patients. DWI was performed before and ten days after the initiation of injection in the first cycle of induction chemotherapy on 1.5T Avanto Siemens scanner. Patient characteristic and imaging parameters has shown in Table1, 2. Apparent diffusion coefficient (ADC) maps were generated from DW images on the system workstation. LNs, diagnosed as malignant on pre-therapeutic clinical and imaging assessment, were included for response assessment. Regions of interest (ROIs) containing the malignant LNs were delineated on the ADC-maps and Gd-enhanced T1-weighted images for each patient at two different time points. The LN volumes were calculated for selected area on T1C images. Several commonly-used quantitative parameters, including mean-, max-, min-, and median-ADC were calculated for defined ROIs on ADC map. Moreover, first-order histogram analysis was applied on the ROIs to derive the following features: (1) histogram standard deviation, representing average contrast, (2) normalized variance, as a measure of smoothness, (3) skewness, denoting the third moment, (4) energy, as a measure of uniformity or homogeneity, and (5) entropy, a statistical measure of irregularities of ADC-values. Result: For each quantitative parameter, differences between two time-points were compared with Willcoxon none parametric test. A level of p-value less than 0.05 was regarded as statistically significant. As indicated in Table3, Mean, Median, smoothness, third moment and uniformity are parameters indicate statistically significant difference (p value< 0.05) for early changes of LNs structure following induction chemotherapy. there weren’t any significant change in LN’s Volume (p-value = 0.128). Uniformity metric decreased in second time-point (after IC) for all patients.

Discussion/Conclusion: For nasopharyngeal patient with involved LN, the standard determination of LN’s response is conventional MRI. In this study, histogram analysis on ADC map was carried out on manually defined ROI within the tumor to reveal physiological aterations early after IC. For this purpose, several quantitative metrics derived from ADC-map were explored to obtain the most accurate feature(s) as potential predictive biomarker for early response of the lymphnode to IC. The initial results showed that mean, smoothness, third moment and uniformity metrics, which are indicators of heterogeneity, could detect early response of the Lymph node to treatment. While the change in lymph nodes volume did not exhibit significant difference (p-value: 0.128) for early response assessment. Finally, the results reported in this abstract will be validated in a larger patient population to determine which heterogeneity metrics can be adopted as relevant biomarkers for response of Lymph node to IC. Serial DWI will be acquired to find correlation between changes of extracted heterogeneity metrics and the tumor residue after completion of the IC. .

Acknowledgements

We would like to acknowledge the support received from the radiographers and technicians Payambaran MRI center.

References

1.Devin F, Kunwar B , David Y, Ann King. Diagnostic accuracy of diffusion-weighted MR imaging for nasopharyngeal carcinoma, head and neck lymphoma and squamous cell carcinoma at the primary site. Oral Oncology. 2010; 46: 603-606.

2.Sanjeev C, Sungheon K, Lawrence D, et al. Pretreatment Diffusion-Weighted and Dynamic Contrast- Enhanced MRI for Prediction of Local Treatment Response in Squamous Cell Carcinomas of the Head and Neck. Am J Roentgenol. 2013; 200(1); 35-43.

3. Ceri P, Maria S, Marco B. Changes in functional imaging parameters following induction chemotherapy have important implications for individualised patient-based treatment regimens for advanced head and neck cancer. Radio and Oncol. 2013; 106(1): 112-117.

Figures

Table1: Imaging parameters

Table2: Patients Characteristic

Table3: p value of all quantitative parameters

*Significant at 0.05




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