Evidence map›Paper›PMID 33305096›Full record

ArticleAdvances in radiation oncology

Clinical Development and Evaluation of Megavoltage Topogram for Fast Patient Alignment on Helical Tomotherapy.

X Sharon Qi, Fang-I Chu, Zhe Zhang, Robert K Chin, Ann Raldow, Amar U Kishan, Percy Lee, Albert Chang, Anusha Kalbasi, Mitchell Kamrava and 2 more

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Article in Advances in radiation oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

X Sharon QiDepartment of Radiation Oncology, UCLA School of Medicine, Los Angeles, California.
Fang-I ChuDepartment of Radiation Oncology, UCLA School of Medicine, Los Angeles, California.
Zhe ZhangDepartment of Radiation Oncology, UCLA School of Medicine, Los Angeles, California.
Robert K ChinDepartment of Radiation Oncology, UCLA School of Medicine, Los Angeles, California.
Ann RaldowDepartment of Radiation Oncology, UCLA School of Medicine, Los Angeles, California.
Amar U KishanDepartment of Radiation Oncology, UCLA School of Medicine, Los Angeles, California.
Percy LeeDepartment of Radiation Oncology, UCLA School of Medicine, Los Angeles, California.
Albert ChangDepartment of Radiation Oncology, UCLA School of Medicine, Los Angeles, California.
Anusha KalbasiDepartment of Radiation Oncology, UCLA School of Medicine, Los Angeles, California.
Mitchell KamravaDepartment of Radiation Oncology, UCLA School of Medicine, Los Angeles, California.
Michael L SteinbergDepartment of Radiation Oncology, UCLA School of Medicine, Los Angeles, California.
Daniel A LowDepartment of Radiation Oncology, UCLA School of Medicine, Los Angeles, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo develop and evaluate a fast patient localization tool using megavoltage (MV)-topogram on helical tomotherapy. METHODS AND MATERIALS: Eighty-one MV-topogram pairs for 18 pelvis patients undergoing radiation were acquired weekly under an institutional review board-approved clinical trial. The MV-topogram imaging protocol requires 2 orthogonal acquisitions at static gantry angles of 0 degrees and 90 degrees for a programed scan length. A MATLAB based in-house software was developed to reconstruct the MV-topograms offline. Reference images (digitally reconstructed topograms, digitally reconstructed topograms) were generated using the planning computed tomography and tomotherapy geometry. The MV-topogram based alignment was determined by registering the MV-topograms to the digitally reconstructed topogram using bony landmark on commercial MIM software. The daily shifts in 3 translational directions determined from MV-topograms were compared with the megavoltage computed tomography (MVCT) based patient shifts. Linear-regression and two one-sided tests equivalence tests were performed to investigate the relation and equivalence between the 2 techniques. Seventy-eight MV-topogram pairs for 19 head and neck patients were included to validate the finding.

resultsThe magnitudes of alignment differences of (MVCT - MV-topogram) (and standard deviations) were -0.3 ± 2.1, -0.8 ± 2.4, and 1.6 ± 1.7 mm for pelvis and 0.6 ± 1.2, 0.8 ± 4.2, 1.6 ± 2.6 mm for head and neck; the linear-regression coefficients between 2 imaging techniques were 1.18, 1.10, 0.94, and 0.86, 0.63, 0.38 in the lateral, longitudinal, vertical directions for pelvis and head and neck, respectively. The acquisition time for a pair of MV-topograms was up to 12.7 times less than MVCT scans (coarse scan mode) while covering longer longitudinal length.

conclusionsMV-topograms showed equivalent clinical performance to the standard MVCT with significantly less acquisition time for pelvis and H&N patients. The MV-topogram can be used as an alternative or complimentary tool for bony landmark-based patient alignment on tomotherapy.

Identifiers

PMID33305096
PMCPMC7718556

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