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First clinical retrospective investigation of limited projection CBCT for lung tumor localization in patients receiving SBRT treatment.

Publication ,  Journal Article
Zhang, Y; Yin, F-F; Ren, L
Published in: Phys Med Biol
May 8, 2019

To clinically investigate the limited-projection CBCT (LP-CBCT) technology for daily positioning of patients receiving breath-hold lung SBRT radiation treatment and to investigate the feasibility of reconstructing fast 4D-CBCT from 1 min 3D-CBCT scan. Eleven patients who underwent breath-hold lung SBRT radiation treatment were scanned daily with on-board full-projection CBCT (CBCT) using half-fan scan. A subset of the CBCT projections and the prior planning CT were used to estimate the LP-CBCT images using the weighted free-form deformation method. The limited projections are clusteringly sampled within fifteen sub-angles in 360° in order to simulate the fast 1 min scan for 4D-CBCT. The estimated LP-CBCTs were rigidly registered to the planning CT to determine the clinical shifts needed for patient setup corrections, which were compared with shifts determined by the CBCT for evaluation. Both manual and automatic registrations were performed in order to compare the systematic registration errors. Fifty CBCT volumes were obtained from the eleven patients in fifty fractions for this pilot clinical study. For the CBCT images, the mean (±standard deviation) shifts between CBCT and planning CT from manual registration in left-right (LR), anterior-posterior (AP), and superior-inferior (SI) directions are 1.1  ±  1.2 mm, 2.1  ±  1.9 mm, 5.2  ±  3.6 mm, respectively. The mean deviation difference between shifts determined by CBCT and LP-CBCT images are 0.3  ±  0.5 mm, 0.5  ±  0.8 mm, 0.4  ±  0.3 mm, in LR, AP, and SI directions, respectively. The mean vector length of CBCT shift for all fractions is 6.1  ±  3.6 mm, and the mean vector length difference between CBCT and LP-CBCT for all fractions studied is 1.0  ±  0.9 mm. The automatic registrations yield similar results as manual registrations. The pilot clinical study shows that LP-CBCT localization offers comparable accuracy to CBCT localization for daily tumor positioning while reducing the projection number to 1/10 for patients receiving breath hold lung radiation treatment. The cluster projection sampling in this study also shows the feasibility of reconstructing fast 4D-CBCT from 1 min 3D-CBCT scan.

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Published In

Phys Med Biol

DOI

EISSN

1361-6560

Publication Date

May 8, 2019

Volume

64

Issue

10

Start / End Page

10NT01

Location

England

Related Subject Headings

  • Surgery, Computer-Assisted
  • Retrospective Studies
  • Radiotherapy Planning, Computer-Assisted
  • Radiosurgery
  • Nuclear Medicine & Medical Imaging
  • Lung Neoplasms
  • Imaging, Three-Dimensional
  • Image Processing, Computer-Assisted
  • Humans
  • Feasibility Studies
 

Citation

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Zhang, Y., Yin, F.-F., & Ren, L. (2019). First clinical retrospective investigation of limited projection CBCT for lung tumor localization in patients receiving SBRT treatment. Phys Med Biol, 64(10), 10NT01. https://doi.org/10.1088/1361-6560/ab1c0c
Zhang, Yawei, Fang-Fang Yin, and Lei Ren. “First clinical retrospective investigation of limited projection CBCT for lung tumor localization in patients receiving SBRT treatment.Phys Med Biol 64, no. 10 (May 8, 2019): 10NT01. https://doi.org/10.1088/1361-6560/ab1c0c.
Zhang, Yawei, et al. “First clinical retrospective investigation of limited projection CBCT for lung tumor localization in patients receiving SBRT treatment.Phys Med Biol, vol. 64, no. 10, May 2019, p. 10NT01. Pubmed, doi:10.1088/1361-6560/ab1c0c.
Journal cover image

Published In

Phys Med Biol

DOI

EISSN

1361-6560

Publication Date

May 8, 2019

Volume

64

Issue

10

Start / End Page

10NT01

Location

England

Related Subject Headings

  • Surgery, Computer-Assisted
  • Retrospective Studies
  • Radiotherapy Planning, Computer-Assisted
  • Radiosurgery
  • Nuclear Medicine & Medical Imaging
  • Lung Neoplasms
  • Imaging, Three-Dimensional
  • Image Processing, Computer-Assisted
  • Humans
  • Feasibility Studies