Literature DB >> 27781491

Feasibility of offline head & neck adaptive radiotherapy using deformed planning CT electron density mapping on weekly cone beam computed tomography.

Anantharaman Ayyalusamy1,2, Subramani Vellaiyan3,2, Subramanian Shanmugam1,2, Arivarasan Ilamurugu1, Arun Gandhi1,2, Thirumalaiswamy Shanmugam1, Kathirvel Murugesan1,2.   

Abstract

OBJECTIVE: The purpose of the study was to use deformable mapping of planning CT (pCT) electron density values on weekly cone-beam CT (CBCT) to quantify the anatomical changes and determine the dose-volume relationship in offline adaptive volumetric-modulated arc therapy.
METHODS: 10 patients treated with RapidArc plans who had weekly CBCTs were selected retrospectively. The pCT was deformed to weekly CBCTs and the deformed contours were checked for any discrepancies. Clinical target volume 66 Gy and 60 Gy (CTV66 and CTV60), parotids and spinal cord were the structures selected for analysis. Volume reduction and dice similarity index (DSI) were determined. Hybrid RapidArc plans were created and the cumulative dose-volume histograms for selected structures were analyzed.
RESULTS: Results showed a mean volume reduction of 18.82 ± 6.08% and 18.22 ± 6.1% for Clinical target volume 66 Gy and 60 Gy (CTV66 and CTV60), respectively, and their corresponding DSI values were 0.94 ± 0.03 and 0.95 ± 0.01. Mean volume reductions of left and right parotids were 32.79 ± 10.28% and 29.46 ± 8.78%, respectively, and their corresponding mean DSI values were 0.90 ± 0.05 and 0.89 ± 0.05. The cumulative mean dose difference for Planning target volume 66 Gy (PTV66) was -1.35 ± 1.71% and for Planning target volume 60 Gy (PTV60), it was -0.69 ± 1.37%. Spinal cord doses varied for all patients over the course.
CONCLUSION: The results from the study showed that it is clinically feasible to estimate the dose-volume relationship using deformed pCT. Monitoring of patient anatomic changes and incorporating patient-specific replanning strategy are necessary to avoid critical structure complications. Advances in knowledge: Deformable mapping of pCT electron density values on weekly CBCTs has been performed to establish the volumetric and dosimetric changes. The anatomical changes differ among the patients and hence, the choice for adaptive radiotherapy should be strictly patient specific rather than time specific.

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Year:  2016        PMID: 27781491      PMCID: PMC5605016          DOI: 10.1259/bjr.20160420

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  25 in total

1.  Flat-panel cone-beam computed tomography for image-guided radiation therapy.

Authors:  David A Jaffray; Jeffrey H Siewerdsen; John W Wong; Alvaro A Martinez
Journal:  Int J Radiat Oncol Biol Phys       Date:  2002-08-01       Impact factor: 7.038

2.  Deformable planning CT to cone-beam CT image registration in head-and-neck cancer.

Authors:  Jidong Hou; Mariana Guerrero; Wenjuan Chen; Warren D D'Souza
Journal:  Med Phys       Date:  2011-04       Impact factor: 4.071

Review 3.  Identifying patients who may benefit from adaptive radiotherapy: Does the literature on anatomic and dosimetric changes in head and neck organs at risk during radiotherapy provide information to help?

Authors:  Charlotte L Brouwer; Roel J H M Steenbakkers; Johannes A Langendijk; Nanna M Sijtsema
Journal:  Radiother Oncol       Date:  2015-06-17       Impact factor: 6.280

4.  Dose calculation with a cone beam CT image in image-guided radiation therapy.

Authors:  Keisuke Usui; Yasunobu Ichimaru; Yasuhiro Okumura; Katsuki Murakami; Makoto Seo; Etsuo Kunieda; Koichi Ogawa
Journal:  Radiol Phys Technol       Date:  2012-09-06

5.  Validation of an accelerated 'demons' algorithm for deformable image registration in radiation therapy.

Authors:  He Wang; Lei Dong; Jennifer O'Daniel; Radhe Mohan; Adam S Garden; K Kian Ang; Deborah A Kuban; Mark Bonnen; Joe Y Chang; Rex Cheung
Journal:  Phys Med Biol       Date:  2005-06-01       Impact factor: 3.609

6.  Comparison of 12 deformable registration strategies in adaptive radiation therapy for the treatment of head and neck tumors.

Authors:  Pierre Castadot; John Aldo Lee; Adriane Parraga; Xavier Geets; Benoît Macq; Vincent Grégoire
Journal:  Radiother Oncol       Date:  2008-05-22       Impact factor: 6.280

7.  Toward adaptive radiotherapy for head and neck patients: Feasibility study on using CT-to-CBCT deformable registration for "dose of the day" calculations.

Authors:  Catarina Veiga; Jamie McClelland; Syed Moinuddin; Ana Lourenço; Kate Ricketts; James Annkah; Marc Modat; Sébastien Ourselin; Derek D'Souza; Gary Royle
Journal:  Med Phys       Date:  2014-03       Impact factor: 4.071

8.  Adaptive radiotherapy for head and neck cancer--dosimetric results from a prospective clinical trial.

Authors:  David L Schwartz; Adam S Garden; Shalin J Shah; Gregory Chronowski; Samir Sejpal; David I Rosenthal; Yipei Chen; Yongbin Zhang; Lifei Zhang; Pei-Fong Wong; John A Garcia; K Kian Ang; Lei Dong
Journal:  Radiother Oncol       Date:  2013-01-29       Impact factor: 6.280

9.  Local anatomic changes in parotid and submandibular glands during radiotherapy for oropharynx cancer and correlation with dose, studied in detail with nonrigid registration.

Authors:  Eliana M Vásquez Osorio; Mischa S Hoogeman; Abrahim Al-Mamgani; David N Teguh; Peter C Levendag; Ben J M Heijmen
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-03-01       Impact factor: 7.038

10.  Validation of Varian's SmartAdapt® deformable image registration algorithm for clinical application.

Authors:  Ihab S Ramadaan; Karsten Peick; David A Hamilton; Jamie Evans; Douglas Iupati; Anna Nicholson; Lynne Greig; Robert J W Louwe
Journal:  Radiat Oncol       Date:  2015-03-31       Impact factor: 3.481

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  5 in total

1.  Atlas-based auto-segmentation for postoperative radiotherapy planning in endometrial and cervical cancers.

Authors:  Nalee Kim; Jee Suk Chang; Yong Bae Kim; Jin Sung Kim
Journal:  Radiat Oncol       Date:  2020-05-13       Impact factor: 3.481

Review 2.  Deep learning methods for enhancing cone-beam CT image quality toward adaptive radiation therapy: A systematic review.

Authors:  Branimir Rusanov; Ghulam Mubashar Hassan; Mark Reynolds; Mahsheed Sabet; Jake Kendrick; Pejman Rowshanfarzad; Martin Ebert
Journal:  Med Phys       Date:  2022-07-18       Impact factor: 4.506

3.  Online daily assessment of dose change in head and neck radiotherapy without dose-recalculation.

Authors:  Jason R Vickress; Jerry Battista; Rob Barnett; Slav Yartsev
Journal:  J Appl Clin Med Phys       Date:  2018-08-07       Impact factor: 2.102

4.  Analysis of dose using CBCT and synthetic CT during head and neck radiotherapy: A single centre feasibility study.

Authors:  Lisa K Hay; Claire Paterson; Philip McLoone; Eliane Miguel-Chumacero; Ronan Valentine; Suzanne Currie; Derek Grose; Stefano Schipani; Christina Wilson; Ioanna Nixon; Allan James; Aileen Duffton
Journal:  Tech Innov Patient Support Radiat Oncol       Date:  2020-03-23

5.  Adaptive radiotherapy for head and neck cancer reduces the requirement for rescans during treatment due to spinal cord dose.

Authors:  Louise Belshaw; Christina E Agnew; Denise M Irvine; Keith P Rooney; Conor K McGarry
Journal:  Radiat Oncol       Date:  2019-11-01       Impact factor: 3.481

  5 in total

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