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Updated: Aug 17, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
Published on: February 6, 2019
A novel lattice technique via adaptive spot assignment and LET optimization based proton arc therapy
Yujia Qian1, Yajun Jia2, Qingkun Fan3
1Wuhan University, School of physics and technology, Wuhan, China; Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430023, China; Hubei Key Laboratory of Precision Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong.
Purpose:
Lattice radiation therapy is an innovative three-dimensional implementation of spatially fractionated radiation therapy. This study aimed to develop a novel lattice-based proton arc therapy (PAT) technique to deliver a highly modulated peak-valley spatial dose distribution and a modulated linear energy transfer (LET) distribution.
Methods And Materials:
We introduced a PAT lattice algorithm that optimizes three key components, including energy-layer selection, spot assignment, and LET optimization (PATLESL). A simulated annealing algorithm was used to select the optimal energy layers. Meanwhile, an adaptive spot assignment strategy was implemented using a spot-sparsity optimization algorithm based on the primal-dual active set with continuation to achieve an improved peak-to-valley dose ratio (PVDR). Subsequently, LET optimization was achieved using the alternating direction method of multipliers with a minimum monitor unit constraint. Eighteen patients were selected to evaluate plan quality and delivery efficiency compared with the lattice technique based on the previously reported spot-scanning proton arc therapy energy sequence optimization algorithm (PATseq). Feasibility and dosimetric accuracy were further validated using clinical phantom measurements.
Results:
Compared with PATseq, the PATLESL plan exhibited improved dose and LET distributions with higher delivery efficiency. More specifically, PATLESL achieved steeper dose gradients, improving the PVDR from 16.90 ± 18.04 to 41.85 ± 29.69 (p < 0.01), shortening the beam delivery time by 37.43%, and increasing the target spot coverage by 44.12% while reducing the spot number by 93.78%. It also increased the mean LET in the LTV from 2.84 ± 0.38 to 3.59 ± 0.26 keV/μm (p < 0.01), on average. Meanwhile, the phantom measurement confirmed high agreement between the planned and delivered results.
Conclusions:
A novel PAT lattice technique using adaptive spot assignment and LET optimization could deliver an enhanced peak-valley spatial dose distribution. Experimental validation on a clinical proton system confirmed deliverability and dosimetric accuracy, which may facilitate future clinical translation of proton lattice radiotherapy.

