Paper Proffered Program Therapy Physics

Tumor–Vessel Motion Correlation In MR-Guided Lung Radiotherapy

Abstract
Purpose

To evaluate the correlation between lung tumor and pulmonary vessel motion under MR-guided radiotherapy and to inform surrogate tracking feature selection when direct tumor tracking is challenging.

Methods

Correlation between Tumor-vessel motion was decomposed into temporal phase and displacement amplitude components. Cine MR images from 11 treatment fractions (3 patients) were analyzed, motion trajectories were extracted, and displacements relative to a reference position were calculated in both AP and SI directions. Tracking points were manually placed in various pulmonary vessels to track vessel motion. Phase lag was defined as the temporal shift that maximized the cross-correlation between tumor and vessel motion, and the maximum normalized cross-correlation coefficient (ccMax) quantified temporal synchrony. The displacement amplitude relationship was quantified using linear regression between tumor and tracking point displacements.

Results

Pulmonary vessels showed strong temporal synchrony with tumor motion (median ccMax > 0.74), with phase lag centered near 0 s (median 0 s, range 0–0.83 s in AP and -0.71–0.39 s in SI). Phase correlation strength depended on tumor-vessel spatial relationship, with closer vessels showing stronger correlation. In contrast, displacement amplitude correlation was variable across datasets, with mean regression slopes of 0.60 and 1.07, and mean R2 values of 0.53 and 0.44 in the AP and SI directions, respectively. Phase and amplitude correlations were more consistent in the AP than in the SI direction.

Conclusion

This study shows that pulmonary vessels track the phase well but show variable amplitude coupling with tumor motion. These preliminary findings suggest that vessel-based surrogates may be suitable for phase-based gating, while displacement-based surrogate tracking requires further evaluation. The observed variability indicates that surrogate selection may need to be evaluated on a patient- and feature-specific basis in MR-guided lung radiotherapy.

People
Marvin Kinz, MSAuthors · Department of Radiation Oncology, Dana-Farber Cancer Institute/Brigham and Women’s Hospital, Harvard Medical School Shu-Hui Hsu, PhDAuthors · Department of Radiation Oncology, Dana-Farber Cancer Institute/Brigham and Women’s Hospital, Harvard Medical School Atchar Sudhyadhom, PhDAuthors · Department of Radiation Oncology, Dana-Farber Cancer Institute/Brigham and Women’s Hospital, Harvard Medical School Kelly J Fitzgerald, MD, PhDAuthors · Department of Radiation Oncology, Dana-Farber Cancer Institute/Brigham and Women’s Hospital, Harvard Medical School Raymond H Mak, MDAuthors · Department of Radiation Oncology, Dana-Farber Cancer Institute/Brigham and Women’s Hospital, Harvard Medical School Kamal Singhrao, PhDAuthors · Department of Radiation Oncology, Dana-Farber Cancer Institute/Brigham and Women’s Hospital, Harvard Medical School Johnathan E Leeman, MDAuthors · Department of Radiation Oncology, Dana-Farber Cancer Institute/Brigham and Women’s Hospital, Harvard Medical School Zhaohui Han, PhDCorrespondings · Department of Radiation Oncology, Dana-Farber Cancer Institute/Brigham and Women’s Hospital, Harvard Medical School Yue-Houng Hu, PhDAuthors · Department of Radiation Oncology, Dana-Farber Cancer Institute/Brigham and Women’s Hospital, Harvard Medical School Sen Nie, PhDPresenting Author · Department of Radiation Oncology, Brigham and Women’s Hospital, Harvard Medical School Dianne M. Ferguson, PhDAuthors · Department of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Harvard Medical School

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