180 - Assessing the Tumor Visibility and Respiratory Motion of Liver Cancer Patients on Multi-Task MR and 4D-CT Imaging for Radiation Treatment Planning
O. W. Chau1, J. Everts1, J. Chen2, M. Feng1, J. Scholey3, X. Miao4, Y. Yang1, M. Ohliger1, K. Sheng1, Z. Fan2, and W. Yang1; 1University of California, San Francisco, San Francisco, CA, 2University of Southern California, Los Angeles, CA, 3The University of Pennsylvania, Philadelphia, PA, 4Siemens Medical Solutions USA Inc, Malvern, PA
Purpose/Objective(s):Liver tumors are difficult to visualize on standard 4D-CT images. A novel multi-task (MT)-MR imaging technique has been implemented on MR simulator, providing both T1 and T2 weighted 4D imagesin a single 8-min free-breathing scan for more accuratetumor delineationand motion evaluation. In this study,we report our early clinical experience in tumor visibility andmotion assessmenton both pre- and post-contrast MT-MR compared topost-contrast 4D-CT for liver cancer radiation treatment (RT) planning.Materials/
Methods: Motion p</span>hantom validation was performed on both 4D-CT and MT-MR simulatinga wide range of tumor motion with breath per minute (BPM) of 6-15 BPM and amplitude of 10-30mm.Forty patients with liver tumors of HCC (n=14), ICC (n=5), CC (n=4) or metastatic (n=17)diagnoses underwent same-day RT simulation scansontheCT and 3TMRI.Image datasets ofexhale breath-hold contrast-enhanced CT, post-contrast 4D-CT,and pre-and post-contrast MT-MR were acquired.Gross tumor volumes (GTVs) were delineated on the exhale breath-hold contrast enhanced CT scans and deformably propagated to each phase of the box-based registered MT-MR and 4D-CT dynamic dataset. The contrast to noise ratio (CNR)of liver tumors were compared between the 4D-CT and MT-MR image datasets at the exhale phase for both pre- and post-contrast datasets.GTVcentroid motion rangesweredetermined from the end-exhale and end-inhale locations. Two sample t-tests were performed with a p value <0.01 considered statistically significant. Results: Phantom sup-inf motion was validatedwith =1.7mm for 4D-CT and = 2.02mm for MT-MR differences from the program motion range.For patient scans, significantbetterCNRs (p =0.007) were observed fromMT-MR imaging for both T1 (mean ± SD of -16.0± 36.2 pre; -18.8 ± 23.1 post-contrast injection) and T2-weighted(25.4 ± 40.1 pre; 9.4 ± 25.0 post-contrast injection) imagedatasets compared topost-contrast 4D-CT imaging (-1.5 ±3.0). Mean absolute motion ranges of MT-MR (RL:1.28 ±1.38mm, SI: 9.01±4.87mm, AP: 3.36 ±2.75mm)wereobserved, which wassignificantly greater on the sup-inf direction (p <0.001)compared to 4D-CT (RL: 1.21± 1.05mm, SI: 6.48± 3.52mm, AP: 2.97 ± 2.99mm). Conclusion: The novel MT-MR sequence was successfully implemented on the MR simulator. The MT-MR with inherently co-registered T1 and T2 4D-MR may translate into improved tumor and motion definition in RT, compared to 4D-CT.