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Automatic planning for functional lung avoidance radiotherapy based on function-guided beam angle selection and plan optimization.

Publication ,  Journal Article
Xiong, T; Zeng, G; Chen, Z; Huang, Y-H; Li, B; Zhou, D; Liu, X; Sheng, Y; Ren, G; Wu, QJ; Ge, H; Cai, J
Published in: Phys Med Biol
July 17, 2024

Objective.This study aims to develop a fully automatic planning framework for functional lung avoidance radiotherapy (AP-FLART).Approach.The AP-FLART integrates a dosimetric score-based beam angle selection method and a meta-optimization-based plan optimization method, both of which incorporate lung function information to guide dose redirection from high functional lung (HFL) to low functional lung (LFL). It is applicable to both contour-based FLART (cFLART) and voxel-based FLART (vFLART) optimization options. A cohort of 18 lung cancer patient cases underwent planning-CT and SPECT perfusion scans were collected. AP-FLART was applied to generate conventional RT (ConvRT), cFLART, and vFLART plans for all cases. We compared automatic against manual ConvRT plans as well as automatic ConvRT against FLART plans, to evaluate the effectiveness of AP-FLART. Ablation studies were performed to evaluate the contribution of function-guided beam angle selection and plan optimization to dose redirection.Main results.Automatic ConvRT plans generated by AP-FLART exhibited similar quality compared to manual counterparts. Furthermore, compared to automatic ConvRT plans, HFL mean dose,V20, andV5were significantly reduced by 1.13 Gy (p< .001), 2.01% (p< .001), and 6.66% (p< .001) respectively for cFLART plans. Besides, vFLART plans showed a decrease in lung functionally weighted mean dose by 0.64 Gy (p< .01),fV20by 0.90% (p= 0.099), andfV5by 5.07% (p< .01) respectively. Though inferior conformity was observed, all dose constraints were well satisfied. The ablation study results indicated that both function-guided beam angle selection and plan optimization significantly contributed to dose redirection.Significance.AP-FLART can effectively redirect doses from HFL to LFL without severely degrading conventional dose metrics, producing high-quality FLART plans. It has the potential to advance the research and clinical application of FLART by providing labor-free, consistent, and high-quality plans.

Duke Scholars

Published In

Phys Med Biol

DOI

EISSN

1361-6560

Publication Date

July 17, 2024

Volume

69

Issue

15

Location

England

Related Subject Headings

  • Tomography, X-Ray Computed
  • Radiotherapy, Image-Guided
  • Radiotherapy Planning, Computer-Assisted
  • Radiotherapy Dosage
  • Nuclear Medicine & Medical Imaging
  • Lung Neoplasms
  • Lung
  • Humans
  • Automation
  • 5105 Medical and biological physics
 

Citation

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Xiong, T., Zeng, G., Chen, Z., Huang, Y.-H., Li, B., Zhou, D., … Cai, J. (2024). Automatic planning for functional lung avoidance radiotherapy based on function-guided beam angle selection and plan optimization. Phys Med Biol, 69(15). https://doi.org/10.1088/1361-6560/ad5ef5
Xiong, Tianyu, Guangping Zeng, Zhi Chen, Yu-Hua Huang, Bing Li, Dejun Zhou, Xi Liu, et al. “Automatic planning for functional lung avoidance radiotherapy based on function-guided beam angle selection and plan optimization.Phys Med Biol 69, no. 15 (July 17, 2024). https://doi.org/10.1088/1361-6560/ad5ef5.
Xiong T, Zeng G, Chen Z, Huang Y-H, Li B, Zhou D, et al. Automatic planning for functional lung avoidance radiotherapy based on function-guided beam angle selection and plan optimization. Phys Med Biol. 2024 Jul 17;69(15).
Xiong, Tianyu, et al. “Automatic planning for functional lung avoidance radiotherapy based on function-guided beam angle selection and plan optimization.Phys Med Biol, vol. 69, no. 15, July 2024. Pubmed, doi:10.1088/1361-6560/ad5ef5.
Xiong T, Zeng G, Chen Z, Huang Y-H, Li B, Zhou D, Liu X, Sheng Y, Ren G, Wu QJ, Ge H, Cai J. Automatic planning for functional lung avoidance radiotherapy based on function-guided beam angle selection and plan optimization. Phys Med Biol. 2024 Jul 17;69(15).
Journal cover image

Published In

Phys Med Biol

DOI

EISSN

1361-6560

Publication Date

July 17, 2024

Volume

69

Issue

15

Location

England

Related Subject Headings

  • Tomography, X-Ray Computed
  • Radiotherapy, Image-Guided
  • Radiotherapy Planning, Computer-Assisted
  • Radiotherapy Dosage
  • Nuclear Medicine & Medical Imaging
  • Lung Neoplasms
  • Lung
  • Humans
  • Automation
  • 5105 Medical and biological physics