The Applications and Pitfalls of Cone-Beam Computed Tomography-Based Synthetic Computed Tomography for Adaptive Evaluation in Pencil-Beam Scanning Proton Therapy

Pingfang Tsai, Yu Lun Tseng, Brian Shen, Christopher Ackerman, Huifang A. Zhai, Francis Yu, Charles B. Simone, J. Isabelle Choi, Nancy Y. Lee, Rafi Kabarriti, Stanislav Lazarev, Casey L. Johnson, Jiayi Liu, Chin Cheng Chen, Haibo Lin

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: The study evaluates the efficacy of cone-beam computed tomography (CBCT)-based synthetic CTs (sCT) as a potential alternative to verification CT (vCT) for enhanced treatment monitoring and early adaptation in proton therapy. Methods: Seven common treatment sites were studied. Two sets of sCT per case were generated: direct-deformed (DD) sCT and image-correction (IC) sCT. The image qualities and dosimetric impact of the sCT were compared to the same-day vCT. Results: The sCT agreed with vCT in regions of homogeneous tissues such as the brain and breast; however, notable discrepancies were observed in the thorax and abdomen. The sCT outliers existed for DD sCT when there was an anatomy change and for IC sCT in low-density regions. The target coverage exhibited less than a 5% variance in most DD and IC sCT cases when compared to vCT. The Dmax of serial organ-at-risk (OAR) in sCT plans shows greater deviation from vCT than small-volume dose metrics (D0.1cc). The parallel OAR volumetric and mean doses remained consistent, with average deviations below 1.5%. Conclusion: The use of sCT enables precise treatment and prompt early adaptation for proton therapy. The quality assurance of sCT is mandatory in the early stage of clinical implementation.

Original languageEnglish (US)
Article number5101
JournalCancers
Volume15
Issue number20
DOIs
StatePublished - Oct 2023
Externally publishedYes

Keywords

  • adaptive
  • cone-beam computed tomography
  • pencil-beam scanning
  • proton therapy
  • synthetic CT

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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