Computed Tomography Simulation for Gamma Knife Radiosurgery: Impact on Target Coverage
This study evaluated the effectiveness of using a traditional computed tomography (CT) simulation scan in the Leksell Gamma Knife® Icon™ workflow for stereotactic radiosurgery. We compared two workflows, one involving a traditional CT simulation co-registered with the magnetic resonance imaging (MRI...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2025-04-01
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| Series: | Journal of Medical Physics |
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| Online Access: | https://journals.lww.com/10.4103/jmp.jmp_193_24 |
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| author | Sridhar Yaddanapudi Steven M. Herchko Deepak K. Shrestha Bonita L. Gianforti Kathleen A. Kopacka Kayla M. Lane Anna C. Harrell W. Christopher Fox Sanjeet S. Grewal Daniel M. Trifiletti Jennifer L. Peterson |
| author_facet | Sridhar Yaddanapudi Steven M. Herchko Deepak K. Shrestha Bonita L. Gianforti Kathleen A. Kopacka Kayla M. Lane Anna C. Harrell W. Christopher Fox Sanjeet S. Grewal Daniel M. Trifiletti Jennifer L. Peterson |
| author_sort | Sridhar Yaddanapudi |
| collection | DOAJ |
| description | This study evaluated the effectiveness of using a traditional computed tomography (CT) simulation scan in the Leksell Gamma Knife® Icon™ workflow for stereotactic radiosurgery. We compared two workflows, one involving a traditional CT simulation co-registered with the magnetic resonance imaging (MRI) and cone-beam CT (CBCT) (MRI-CT-CBCT) and another without the CT scan, co-registering the MRI directly with CBCT (MRI-CBCT). The cohort included 50 frame-based (54 targets) and 55 frameless (124 targets) patients treated between August 2020 and December 2022. Target coverage was assessed by the percentage of each target covered by the prescription isodose line. The mean coverage differences for the frame-based and frameless cohorts were −1.20% ± 1.43% and −1.06% ± 1.51%, respectively, with 95% confidence intervals of −1.59, −0.81 and −1.32, −0.79. The MRI-CBCT workflow was deemed noninferior to the MRI-CT-CBCT workflow. Our data indicate that both workflows yield similar results, suggesting that a traditional CT simulation scan is unnecessary. |
| format | Article |
| id | doaj-art-d206e29b5fbf4a0fae5bc6afd5221f2c |
| institution | Kabale University |
| issn | 0971-6203 1998-3913 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Journal of Medical Physics |
| spelling | doaj-art-d206e29b5fbf4a0fae5bc6afd5221f2c2025-08-20T04:02:06ZengWolters Kluwer Medknow PublicationsJournal of Medical Physics0971-62031998-39132025-04-0150241541810.4103/jmp.jmp_193_24Computed Tomography Simulation for Gamma Knife Radiosurgery: Impact on Target CoverageSridhar YaddanapudiSteven M. HerchkoDeepak K. ShresthaBonita L. GianfortiKathleen A. KopackaKayla M. LaneAnna C. HarrellW. Christopher FoxSanjeet S. GrewalDaniel M. TrifilettiJennifer L. PetersonThis study evaluated the effectiveness of using a traditional computed tomography (CT) simulation scan in the Leksell Gamma Knife® Icon™ workflow for stereotactic radiosurgery. We compared two workflows, one involving a traditional CT simulation co-registered with the magnetic resonance imaging (MRI) and cone-beam CT (CBCT) (MRI-CT-CBCT) and another without the CT scan, co-registering the MRI directly with CBCT (MRI-CBCT). The cohort included 50 frame-based (54 targets) and 55 frameless (124 targets) patients treated between August 2020 and December 2022. Target coverage was assessed by the percentage of each target covered by the prescription isodose line. The mean coverage differences for the frame-based and frameless cohorts were −1.20% ± 1.43% and −1.06% ± 1.51%, respectively, with 95% confidence intervals of −1.59, −0.81 and −1.32, −0.79. The MRI-CBCT workflow was deemed noninferior to the MRI-CT-CBCT workflow. Our data indicate that both workflows yield similar results, suggesting that a traditional CT simulation scan is unnecessary.https://journals.lww.com/10.4103/jmp.jmp_193_24co-registrationframeframelessgamma knifeworkflow |
| spellingShingle | Sridhar Yaddanapudi Steven M. Herchko Deepak K. Shrestha Bonita L. Gianforti Kathleen A. Kopacka Kayla M. Lane Anna C. Harrell W. Christopher Fox Sanjeet S. Grewal Daniel M. Trifiletti Jennifer L. Peterson Computed Tomography Simulation for Gamma Knife Radiosurgery: Impact on Target Coverage Journal of Medical Physics co-registration frame frameless gamma knife workflow |
| title | Computed Tomography Simulation for Gamma Knife Radiosurgery: Impact on Target Coverage |
| title_full | Computed Tomography Simulation for Gamma Knife Radiosurgery: Impact on Target Coverage |
| title_fullStr | Computed Tomography Simulation for Gamma Knife Radiosurgery: Impact on Target Coverage |
| title_full_unstemmed | Computed Tomography Simulation for Gamma Knife Radiosurgery: Impact on Target Coverage |
| title_short | Computed Tomography Simulation for Gamma Knife Radiosurgery: Impact on Target Coverage |
| title_sort | computed tomography simulation for gamma knife radiosurgery impact on target coverage |
| topic | co-registration frame frameless gamma knife workflow |
| url | https://journals.lww.com/10.4103/jmp.jmp_193_24 |
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