Giuseppina Apicella1, Gianfranco Loi2, Sara Torrente1, Silvia Crespi1, Debora Beldì1, Marco Brambilla2, Marco Krengli3,4. 1. Division of Radiotherapy, University Hospital "Maggiore della Carità", Novara, Italy. 2. Medical Physics, University Hospital "Maggiore della Carità", Novara, Italy. 3. Division of Radiotherapy, University Hospital "Maggiore della Carità", Novara, Italy. krengli@med.unipmn.it. 4. Department of Translational Medicine, University of "Piemonte Orientale", Novara, Italy. krengli@med.unipmn.it.
Abstract
PURPOSE: Surface-based image guided radiotherapy (IGRT) allows positioning and/or monitoring patients in 3 dimensions (3D), without the use of ionizing radiation. In this study, we report on intra-fraction motion measured by acquisition of multiple images of 3D body surfaces. MATERIALS AND METHODS: Twenty-nine patients treated for pelvic tumors were enrolled. Setup variations (SV) through three consecutive body surfaces acquired by the optical IGRT system Align-RT (Vision-RT, London, UK) were analyzed before, during and at the end of treatment delivery. Displacements along the main axes (X, Y and Z) from initial (I) to mid-treatment (MT) and final (F) acquisitions were recorded. Time and direction of SV were assessed. RESULTS: A total of 6272 images from 792 fractions of 29 patients were available. The main source of misalignment was between I and MT acquisition (p < 0.001). The dominant SV direction was the vertical one (Z axis), with mean SV of -1.20 ± 0.06 mm and -1.55 ± 0.06 mm for I-MT and I-F acquisitions, respectively. The Y mean components of SV were, respectively, -0.95 ± 0.10 mm and -1.0 ± 0.10 for I-MT and I-F acquisitions, while the X deviations were 0.07 ± 0.08 mm for I-MT and 0.26 ± 0.08 mm I-F. CONCLUSION: Three-D surface imaging for patient setup monitoring highlighted remarkable mobility of patients during RT session, especially in the anterior-posterior direction (Z axis). The largest magnitude in patient movements occurred during the first part of delivery. These findings suggest that the initial setup control cannot not to be sufficient to guarantee treatment reproducibility, especially for long-lasting RT treatments.
PURPOSE: Surface-based image guided radiotherapy (IGRT) allows positioning and/or monitoring patients in 3 dimensions (3D), without the use of ionizing radiation. In this study, we report on intra-fraction motion measured by acquisition of multiple images of 3D body surfaces. MATERIALS AND METHODS: Twenty-nine patients treated for pelvic tumors were enrolled. Setup variations (SV) through three consecutive body surfaces acquired by the optical IGRT system Align-RT (Vision-RT, London, UK) were analyzed before, during and at the end of treatment delivery. Displacements along the main axes (X, Y and Z) from initial (I) to mid-treatment (MT) and final (F) acquisitions were recorded. Time and direction of SV were assessed. RESULTS: A total of 6272 images from 792 fractions of 29 patients were available. The main source of misalignment was between I and MT acquisition (p < 0.001). The dominant SV direction was the vertical one (Z axis), with mean SV of -1.20 ± 0.06 mm and -1.55 ± 0.06 mm for I-MT and I-F acquisitions, respectively. The Y mean components of SV were, respectively, -0.95 ± 0.10 mm and -1.0 ± 0.10 for I-MT and I-F acquisitions, while the X deviations were 0.07 ± 0.08 mm for I-MT and 0.26 ± 0.08 mm I-F. CONCLUSION: Three-D surface imaging for patient setup monitoring highlighted remarkable mobility of patients during RT session, especially in the anterior-posterior direction (Z axis). The largest magnitude in patient movements occurred during the first part of delivery. These findings suggest that the initial setup control cannot not to be sufficient to guarantee treatment reproducibility, especially for long-lasting RT treatments.
Entities:
Keywords:
IGRT; Intra-fraction; Organ motion; Radiotherapy; Setup; Surface imaging
Authors: Dirk Verellen; Mark De Ridder; Nadine Linthout; Koen Tournel; Guy Soete; Guy Storme Journal: Nat Rev Cancer Date: 2007-12 Impact factor: 60.716
Authors: D Verellen; T Depuydt; T Gevaert; N Linthout; K Tournel; M Duchateau; T Reynders; G Storme; M De Ridder Journal: Cancer Radiother Date: 2010-07-31 Impact factor: 1.018
Authors: Christoph Bert; Katherine G Metheany; Karen P Doppke; Alphonse G Taghian; Simon N Powell; George T Y Chen Journal: Int J Radiat Oncol Biol Phys Date: 2006-03-15 Impact factor: 7.038
Authors: Alyson McIntosh; Asal N Shoushtari; Stanley H Benedict; Paul W Read; Krishni Wijesooriya Journal: Int J Radiat Oncol Biol Phys Date: 2011-04-29 Impact factor: 7.038
Authors: Jin Sheng Li; Lihui Jin; Alan Pollack; Eric M Horwitz; Mark K Buyyounouski; Robert A Price; Chang-Ming Ma Journal: Int J Radiat Oncol Biol Phys Date: 2009-10-14 Impact factor: 7.038
Authors: Essa Mayyas; Indrin J Chetty; Mikhail Chetvertkov; Ning Wen; Toni Neicu; Teamor Nurushev; Lei Ren; Mei Lu; Hans Stricker; Deepak Pradhan; Benjamin Movsas; Mohamed A Elshaikh Journal: Med Phys Date: 2013-04 Impact factor: 4.071
Authors: Alexis N T J Kotte; Pieter Hofman; Jan J W Lagendijk; Marco van Vulpen; Uulke A van der Heide Journal: Int J Radiat Oncol Biol Phys Date: 2007-05-21 Impact factor: 7.038
Authors: Dale W Litzenberg; James M Balter; Scott W Hadley; Daniel A Hamstra; Twyla R Willoughby; Patrick A Kupelian; Toufik Djemil; Arul Mahadevan; Shirish Jani; Geoffrey Weinstein; Timothy Solberg; Charles Enke; Lisa Levine; Howard M Sandler Journal: Prostate Cancer Date: 2011-07-13