This record contains raw data related to article "Automatic Planning of the Lower-Extremities for Total Marrow Irradiation Using Volumetric Modulated Arc Therapy" Abstract Purpose: Total marrow (and lymphoid) irradiation (TMI-TMLI) is limited by the couch travel range of modern linacs, which forces to split the treatment delivery into two plans with opposite orientations: a head-first supine upper-body plan, and a feet-first supine lower-extremities plan. A specific field junction is thus needed to obtain adequate target coverage in the overlap region of the two plans. In this study, an automatic procedure was developed for field junction creation and lower-extremities plan optimization. Methods: Ten patients treated with TMI-TMLI at our institution were selected retrospectively. The planning of the lower-extremities was performed automatically. Target volume parameters (CTV_J-V98%>98%) at the junction region and several dose statistics (D98%, Dmean, and D2%) were compared between automatic and manual plans. The Modulation Complexity Score (MCS) was used to assess plan complexity. Results: The automatic procedure required 60-90 minutes, depending on the case. All automatic plans achieved clinically acceptable dosimetric results (CTV_J-V98%>98%), with significant differences found at the junction region, where Dmean and D2% increased on average by 2.4% (p<0.03) and 3.0% (p<0.02), respectively. Similar plan complexity was observed (median MCS=0.12). Since March 2022 the automatic procedure has been introduced in our clinic, reducing the TMI-TMLI simulation-to-delivery schedule by 2 days. Conclusions: The developed procedure allowed to streamline the treatment planning of TMI-TMLI, increasing efficiency and standardization, preventing human errors, while maintaining the dosimetric plan quality and complexity of manual plans. Automated strategies can simplify the future adoption and clinical implementation of TMI-TMLI treatments in new centers.

Acknowledgments: The AuToMI project is funded by the Italian Ministry of Health (Rome, IT). GRANT_NUMBER: GR-2019-12370739