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
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