First Clinical Investigation of Cone Beam Computed Tomography and Deformable Registration for Adaptive Proton Therapy for Lung Cancer

Catarina Veiga, Guillaume Janssens, Ching Ling Teng, Thomas Baudier, Lucian Hotoiu, Jamie R. McClelland, Gary Royle, Liyong Lin, Lingshu Yin, James Metz, Timothy D. Solberg, Zelig Tochner, Charles B. Simone, James McDonough, Boon Keng Kevin Teo

Research output: Contribution to journalArticle

67 Citations (Scopus)

Abstract

Purpose An adaptive proton therapy workflow using cone beam computed tomography (CBCT) is proposed. It consists of an online evaluation of a fast range-corrected dose distribution based on a virtual CT (vCT) scan. This can be followed by more accurate offline dose recalculation on the vCT scan, which can trigger a rescan CT (rCT) for replanning. Methods and Materials The workflow was tested retrospectively for 20 consecutive lung cancer patients. A diffeomorphic Morphon algorithm was used to generate the lung vCT by deforming the average planning CT onto the CBCT scan. An additional correction step was applied to account for anatomic modifications that cannot be modeled by deformation alone. A set of clinical indicators for replanning were generated according to the water equivalent thickness (WET) and dose statistics and compared with those obtained on the rCT scan. The fast dose approximation consisted of warping the initial planned dose onto the vCT scan according to the changes in WET. The potential under- and over-ranges were assessed as a variation in WET at the target's distal surface. Results The range-corrected dose from the vCT scan reproduced clinical indicators similar to those of the rCT scan. The workflow performed well under different clinical scenarios, including atelectasis, lung reinflation, and different types of tumor response. Between the vCT and rCT scans, we found a difference in the measured 95% percentile of the over-range distribution of 3.4 ± 2.7 mm. The limitations of the technique consisted of inherent uncertainties in deformable registration and the drawbacks of CBCT imaging. The correction step was adequate when gross errors occurred but could not recover subtle anatomic or density changes in tumors with complex topology. Conclusions A proton therapy workflow based on CBCT provided clinical indicators similar to those using rCT for patients with lung cancer with considerable anatomic changes.

Original languageEnglish (US)
Pages (from-to)549-559
Number of pages11
JournalInternational Journal of Radiation Oncology Biology Physics
Volume95
Issue number1
DOIs
StatePublished - May 1 2016
Externally publishedYes

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Proton Therapy
Cone-Beam Computed Tomography
Workflow
lungs
therapy
Lung Neoplasms
cones
tomography
cancer
dosage
protons
Water
Lung
Pulmonary Atelectasis
atelectasis
tumors
water
Uncertainty
Neoplasms
planning

ASJC Scopus subject areas

  • Radiation
  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Cancer Research

Cite this

First Clinical Investigation of Cone Beam Computed Tomography and Deformable Registration for Adaptive Proton Therapy for Lung Cancer. / Veiga, Catarina; Janssens, Guillaume; Teng, Ching Ling; Baudier, Thomas; Hotoiu, Lucian; McClelland, Jamie R.; Royle, Gary; Lin, Liyong; Yin, Lingshu; Metz, James; Solberg, Timothy D.; Tochner, Zelig; Simone, Charles B.; McDonough, James; Kevin Teo, Boon Keng.

In: International Journal of Radiation Oncology Biology Physics, Vol. 95, No. 1, 01.05.2016, p. 549-559.

Research output: Contribution to journalArticle

Veiga, C, Janssens, G, Teng, CL, Baudier, T, Hotoiu, L, McClelland, JR, Royle, G, Lin, L, Yin, L, Metz, J, Solberg, TD, Tochner, Z, Simone, CB, McDonough, J & Kevin Teo, BK 2016, 'First Clinical Investigation of Cone Beam Computed Tomography and Deformable Registration for Adaptive Proton Therapy for Lung Cancer', International Journal of Radiation Oncology Biology Physics, vol. 95, no. 1, pp. 549-559. https://doi.org/10.1016/j.ijrobp.2016.01.055
Veiga, Catarina ; Janssens, Guillaume ; Teng, Ching Ling ; Baudier, Thomas ; Hotoiu, Lucian ; McClelland, Jamie R. ; Royle, Gary ; Lin, Liyong ; Yin, Lingshu ; Metz, James ; Solberg, Timothy D. ; Tochner, Zelig ; Simone, Charles B. ; McDonough, James ; Kevin Teo, Boon Keng. / First Clinical Investigation of Cone Beam Computed Tomography and Deformable Registration for Adaptive Proton Therapy for Lung Cancer. In: International Journal of Radiation Oncology Biology Physics. 2016 ; Vol. 95, No. 1. pp. 549-559.
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abstract = "Purpose An adaptive proton therapy workflow using cone beam computed tomography (CBCT) is proposed. It consists of an online evaluation of a fast range-corrected dose distribution based on a virtual CT (vCT) scan. This can be followed by more accurate offline dose recalculation on the vCT scan, which can trigger a rescan CT (rCT) for replanning. Methods and Materials The workflow was tested retrospectively for 20 consecutive lung cancer patients. A diffeomorphic Morphon algorithm was used to generate the lung vCT by deforming the average planning CT onto the CBCT scan. An additional correction step was applied to account for anatomic modifications that cannot be modeled by deformation alone. A set of clinical indicators for replanning were generated according to the water equivalent thickness (WET) and dose statistics and compared with those obtained on the rCT scan. The fast dose approximation consisted of warping the initial planned dose onto the vCT scan according to the changes in WET. The potential under- and over-ranges were assessed as a variation in WET at the target's distal surface. Results The range-corrected dose from the vCT scan reproduced clinical indicators similar to those of the rCT scan. The workflow performed well under different clinical scenarios, including atelectasis, lung reinflation, and different types of tumor response. Between the vCT and rCT scans, we found a difference in the measured 95{\%} percentile of the over-range distribution of 3.4 ± 2.7 mm. The limitations of the technique consisted of inherent uncertainties in deformable registration and the drawbacks of CBCT imaging. The correction step was adequate when gross errors occurred but could not recover subtle anatomic or density changes in tumors with complex topology. Conclusions A proton therapy workflow based on CBCT provided clinical indicators similar to those using rCT for patients with lung cancer with considerable anatomic changes.",
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T1 - First Clinical Investigation of Cone Beam Computed Tomography and Deformable Registration for Adaptive Proton Therapy for Lung Cancer

AU - Veiga, Catarina

AU - Janssens, Guillaume

AU - Teng, Ching Ling

AU - Baudier, Thomas

AU - Hotoiu, Lucian

AU - McClelland, Jamie R.

AU - Royle, Gary

AU - Lin, Liyong

AU - Yin, Lingshu

AU - Metz, James

AU - Solberg, Timothy D.

AU - Tochner, Zelig

AU - Simone, Charles B.

AU - McDonough, James

AU - Kevin Teo, Boon Keng

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N2 - Purpose An adaptive proton therapy workflow using cone beam computed tomography (CBCT) is proposed. It consists of an online evaluation of a fast range-corrected dose distribution based on a virtual CT (vCT) scan. This can be followed by more accurate offline dose recalculation on the vCT scan, which can trigger a rescan CT (rCT) for replanning. Methods and Materials The workflow was tested retrospectively for 20 consecutive lung cancer patients. A diffeomorphic Morphon algorithm was used to generate the lung vCT by deforming the average planning CT onto the CBCT scan. An additional correction step was applied to account for anatomic modifications that cannot be modeled by deformation alone. A set of clinical indicators for replanning were generated according to the water equivalent thickness (WET) and dose statistics and compared with those obtained on the rCT scan. The fast dose approximation consisted of warping the initial planned dose onto the vCT scan according to the changes in WET. The potential under- and over-ranges were assessed as a variation in WET at the target's distal surface. Results The range-corrected dose from the vCT scan reproduced clinical indicators similar to those of the rCT scan. The workflow performed well under different clinical scenarios, including atelectasis, lung reinflation, and different types of tumor response. Between the vCT and rCT scans, we found a difference in the measured 95% percentile of the over-range distribution of 3.4 ± 2.7 mm. The limitations of the technique consisted of inherent uncertainties in deformable registration and the drawbacks of CBCT imaging. The correction step was adequate when gross errors occurred but could not recover subtle anatomic or density changes in tumors with complex topology. Conclusions A proton therapy workflow based on CBCT provided clinical indicators similar to those using rCT for patients with lung cancer with considerable anatomic changes.

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