Subsequent kilovoltage imaging‐based fiducial triangulation for intra‐fractional prostate motion monitoring and correction.
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| Title: | Subsequent kilovoltage imaging‐based fiducial triangulation for intra‐fractional prostate motion monitoring and correction. |
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| Authors: | Gevorkyan, Gevork S.1 (AUTHOR), Chen, Quan1 (AUTHOR), Tegtmeier, Riley C.1,2 (AUTHOR), Toesca, Diego Santos1 (AUTHOR), Laughlin, Brady S.1 (AUTHOR), Bashir, Sara1 (AUTHOR), Welchel, Zachary J.3 (AUTHOR), Holmes, Jason M.1 (AUTHOR), Vargas, Carlos E.1 (AUTHOR), Rwigema, Jean‐Claude M.1 (AUTHOR), James, Sarah E.1 (AUTHOR), Yu, Nathan Y.1 (AUTHOR) Yu.Nathan@Mayo.edu, Rong, Yi1 (AUTHOR) Rong.Yi@mayo.edu |
| Source: | Medical Physics. Jun2025, Vol. 52 Issue 6, p4008-4022. 15p. |
| Subjects: | Triangulation, Radiotherapy, X-ray imaging, Radiotherapy safety, Motion detectors |
| Abstract: | Background: Inter‐fractional and intra‐fractional positioning and motion monitoring based on implanted fiducials through kilovoltage (kV) imaging is a cost‐effective approach to enhance intact prostate radiotherapy treatment accuracy. However, comprehensive studies for three‐dimensional (3D) position extraction and the corrective action threshold are lacking. Purpose: To develop and verify a fiducial motion monitoring system with 3D position information based on triggered kV images taken during treatment delivery, and to comprehensively evaluate the recommended thresholds for corrective action during treatment. Methods: An in‐house fiducial triangulation algorithm was developed to monitor fiducial positions using subsequent kV triggered images. The precision of fiducial triangulation and motion detection was validated on a pelvis phantom with four fiducial inserts. A retrospective study was conducted on prostate cancer patients who received either moderately hypofractionated radiotherapy (MHRT, n = 16) or stereotactic body radiotherapy (SBRT, n = 12), categorized by endo‐rectal balloon (ERB) use. Intra‐fractional positions relative to isocenter were computed, and these positions were analyzed in comparison to the original marker locations of the patient's treatment plan. A linear regression fit was used per fraction to determine correlation coefficients between motions in the left–right (LR), superior–inferior (SI), and anterior–posterior (AP) directions. Average fraction time (AFT) of treatment was reported based on the observed average time spent on steps in the workflow and the percentage of fiducials caught outside of the current two‐dimensional (2D) tolerance threshold of 5 mm. The observed 3D offsets were used to estimate AFT for various 3D tolerance thresholds. Results: Overall, our triangulation method proved to be very precise for static cases, where phantom measurements revealed a fiducial position triangulation precision of σ=0.37$\sigma = 0.37$ mm for stationary targets, but had a spread of σ=0.81$\sigma = 0.81$ mm for targets with 1 mm of motion. Employing triangulation, true motion exceeding 5 mm was detected above 4.0 mm in magnitude 90.9% of the time, a noticeable improvement in comparison to the 28%–65% successful detection rate reported by 2D projection methods. Most detection errors were attributed to depth disparity. Similar to other reports, correlation coefficients for intra‐fractional motion generally indicated no LR/SI, no LR/AP, and weak positive SI/AP correlations for MHRT and SBRT patients. Offsets beyond a 3D tolerance threshold of 5 mm were observed at a rate of 4.25%–5.25%, while the 5 mm 2D out‐of‐tolerance catch‐rate was 1.6%. The AFT was 8.1–8.2 min using the 2D tolerance threshold of 5 mm. In comparison, the estimated AFT for the proposed 3D tolerance monitoring of offsets beyond 2–5 mm was slightly higher at 8.2–10.9 min due to the higher amount of out‐of‐tolerance instances for the higher precision intra‐fractional motion management. Conclusions: Our study showcases a promising subsequent kV‐based triangulation method for intra‐fractional prostate motion monitoring. Acquiring 3D motion information results in higher out‐of‐tolerance catch‐rates particularly in the depth dimension of the kV images, which is perpendicular to the treatment beam. Failure to properly observe and catch these offsets would result in sub‐optimal conformality and accuracy of the dose delivery. [ABSTRACT FROM AUTHOR] |
| Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Items | – Name: Title Label: Title Group: Ti Data: Subsequent kilovoltage imaging‐based fiducial triangulation for intra‐fractional prostate motion monitoring and correction. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gevorkyan%2C+Gevork+S%2E%22">Gevorkyan, Gevork S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Quan%22">Chen, Quan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tegtmeier%2C+Riley+C%2E%22">Tegtmeier, Riley C.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Toesca%2C+Diego+Santos%22">Toesca, Diego Santos</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Laughlin%2C+Brady+S%2E%22">Laughlin, Brady S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bashir%2C+Sara%22">Bashir, Sara</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Welchel%2C+Zachary+J%2E%22">Welchel, Zachary J.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Holmes%2C+Jason+M%2E%22">Holmes, Jason M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vargas%2C+Carlos+E%2E%22">Vargas, Carlos E.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rwigema%2C+Jean‐Claude+M%2E%22">Rwigema, Jean‐Claude M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22James%2C+Sarah+E%2E%22">James, Sarah E.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu%2C+Nathan+Y%2E%22">Yu, Nathan Y.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> Yu.Nathan@Mayo.edu</i><br /><searchLink fieldCode="AR" term="%22Rong%2C+Yi%22">Rong, Yi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> Rong.Yi@mayo.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Medical+Physics%22">Medical Physics</searchLink>. Jun2025, Vol. 52 Issue 6, p4008-4022. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Triangulation%22">Triangulation</searchLink><br /><searchLink fieldCode="DE" term="%22Radiotherapy%22">Radiotherapy</searchLink><br /><searchLink fieldCode="DE" term="%22X-ray+imaging%22">X-ray imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Radiotherapy+safety%22">Radiotherapy safety</searchLink><br /><searchLink fieldCode="DE" term="%22Motion+detectors%22">Motion detectors</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background: Inter‐fractional and intra‐fractional positioning and motion monitoring based on implanted fiducials through kilovoltage (kV) imaging is a cost‐effective approach to enhance intact prostate radiotherapy treatment accuracy. However, comprehensive studies for three‐dimensional (3D) position extraction and the corrective action threshold are lacking. Purpose: To develop and verify a fiducial motion monitoring system with 3D position information based on triggered kV images taken during treatment delivery, and to comprehensively evaluate the recommended thresholds for corrective action during treatment. Methods: An in‐house fiducial triangulation algorithm was developed to monitor fiducial positions using subsequent kV triggered images. The precision of fiducial triangulation and motion detection was validated on a pelvis phantom with four fiducial inserts. A retrospective study was conducted on prostate cancer patients who received either moderately hypofractionated radiotherapy (MHRT, n = 16) or stereotactic body radiotherapy (SBRT, n = 12), categorized by endo‐rectal balloon (ERB) use. Intra‐fractional positions relative to isocenter were computed, and these positions were analyzed in comparison to the original marker locations of the patient's treatment plan. A linear regression fit was used per fraction to determine correlation coefficients between motions in the left–right (LR), superior–inferior (SI), and anterior–posterior (AP) directions. Average fraction time (AFT) of treatment was reported based on the observed average time spent on steps in the workflow and the percentage of fiducials caught outside of the current two‐dimensional (2D) tolerance threshold of 5 mm. The observed 3D offsets were used to estimate AFT for various 3D tolerance thresholds. Results: Overall, our triangulation method proved to be very precise for static cases, where phantom measurements revealed a fiducial position triangulation precision of σ=0.37$\sigma = 0.37$ mm for stationary targets, but had a spread of σ=0.81$\sigma = 0.81$ mm for targets with 1 mm of motion. Employing triangulation, true motion exceeding 5 mm was detected above 4.0 mm in magnitude 90.9% of the time, a noticeable improvement in comparison to the 28%–65% successful detection rate reported by 2D projection methods. Most detection errors were attributed to depth disparity. Similar to other reports, correlation coefficients for intra‐fractional motion generally indicated no LR/SI, no LR/AP, and weak positive SI/AP correlations for MHRT and SBRT patients. Offsets beyond a 3D tolerance threshold of 5 mm were observed at a rate of 4.25%–5.25%, while the 5 mm 2D out‐of‐tolerance catch‐rate was 1.6%. The AFT was 8.1–8.2 min using the 2D tolerance threshold of 5 mm. In comparison, the estimated AFT for the proposed 3D tolerance monitoring of offsets beyond 2–5 mm was slightly higher at 8.2–10.9 min due to the higher amount of out‐of‐tolerance instances for the higher precision intra‐fractional motion management. Conclusions: Our study showcases a promising subsequent kV‐based triangulation method for intra‐fractional prostate motion monitoring. Acquiring 3D motion information results in higher out‐of‐tolerance catch‐rates particularly in the depth dimension of the kV images, which is perpendicular to the treatment beam. Failure to properly observe and catch these offsets would result in sub‐optimal conformality and accuracy of the dose delivery. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/mp.17703 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 4008 Subjects: – SubjectFull: Triangulation Type: general – SubjectFull: Radiotherapy Type: general – SubjectFull: X-ray imaging Type: general – SubjectFull: Radiotherapy safety Type: general – SubjectFull: Motion detectors Type: general Titles: – TitleFull: Subsequent kilovoltage imaging‐based fiducial triangulation for intra‐fractional prostate motion monitoring and correction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gevorkyan, Gevork S. – PersonEntity: Name: NameFull: Chen, Quan – PersonEntity: Name: NameFull: Tegtmeier, Riley C. – PersonEntity: Name: NameFull: Toesca, Diego Santos – PersonEntity: Name: NameFull: Laughlin, Brady S. – PersonEntity: Name: NameFull: Bashir, Sara – PersonEntity: Name: NameFull: Welchel, Zachary J. – PersonEntity: Name: NameFull: Holmes, Jason M. – PersonEntity: Name: NameFull: Vargas, Carlos E. – PersonEntity: Name: NameFull: Rwigema, Jean‐Claude M. – PersonEntity: Name: NameFull: James, Sarah E. – PersonEntity: Name: NameFull: Yu, Nathan Y. – PersonEntity: Name: NameFull: Rong, Yi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00942405 Numbering: – Type: volume Value: 52 – Type: issue Value: 6 Titles: – TitleFull: Medical Physics Type: main |
| ResultId | 1 |
