Literature DB >> 22494582

Volumetric image guidance using carina vs spine as registration landmarks for conventionally fractionated lung radiotherapy.

Caroline Lavoie1, Jane Higgins, Jean-Pierre Bissonnette, Lisa W Le, Alexander Sun, Anthony Brade, Andrew Hope, John Cho, Andrea Bezjak.   

Abstract

PURPOSE: To compare the relative accuracy of 2 image guided radiation therapy methods using carina vs spine as landmarks and then to identify which landmark is superior relative to tumor coverage. METHODS AND MATERIALS: For 98 lung patients, 2596 daily image-guidance cone-beam computed tomography scans were analyzed. Tattoos were used for initial patient alignment; then, spine and carina registrations were performed independently. A separate analysis assessed the adequacy of gross tumor volume, internal target volume, and planning target volume coverage on cone-beam computed tomography using the initial, middle, and final fractions of radiation therapy. Coverage was recorded for primary tumor (T), nodes (N), and combined target (T+N). Three scenarios were compared: tattoos alignment, spine registration, and carina registration.
RESULTS: Spine and carina registrations identified setup errors ≥ 5 mm in 35% and 46% of fractions, respectively. The mean vector difference between spine and carina matching had a magnitude of 3.3 mm. Spine and carina improved combined target coverage, compared with tattoos, in 50% and 34% (spine) to 54% and 46% (carina) of the first and final fractions, respectively. Carina matching showed greater combined target coverage in 17% and 23% of fractions for the first and final fractions, respectively; with spine matching, this was only observed in 4% (first) and 6% (final) of fractions. Carina matching provided superior nodes coverage at the end of radiation compared with spine matching (P=.0006), without compromising primary tumor coverage.
CONCLUSION: Frequent patient setup errors occur in locally advanced lung cancer patients. Spine and carina registrations improved combined target coverage throughout the treatment course, but carina matching provided superior combined target coverage.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22494582     DOI: 10.1016/j.ijrobp.2012.02.012

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  5 in total

1.  Evaluation of Elekta 4D cone beam CT-based automatic image registration for radiation treatment of lung cancer.

Authors:  Jun Li; Amy Harrison; Yan Yu; Ying Xiao; Maria Werner-Wasik; Bo Lu
Journal:  Br J Radiol       Date:  2015-07-17       Impact factor: 3.039

2.  Interfraction displacement of primary tumor and involved lymph nodes relative to anatomic landmarks in image guided radiation therapy of locally advanced lung cancer.

Authors:  Nuzhat Jan; Salim Balik; Geoffrey D Hugo; Nitai Mukhopadhyay; Elisabeth Weiss
Journal:  Int J Radiat Oncol Biol Phys       Date:  2013-11-13       Impact factor: 7.038

Review 3.  Advances in the use of motion management and image guidance in radiation therapy treatment for lung cancer.

Authors:  Jason K Molitoris; Tejan Diwanji; James W Snider; Sina Mossahebi; Santanu Samanta; Shahed N Badiyan; Charles B Simone; Pranshu Mohindra
Journal:  J Thorac Dis       Date:  2018-08       Impact factor: 2.895

4.  Comparison of carina-based versus bony anatomy-based registration for setup verification in esophageal cancer radiotherapy.

Authors:  Mélanie Machiels; Peng Jin; Christianne H van Gurp; Jeanin E van Hooft; Tanja Alderliesten; Maarten C C M Hulshof
Journal:  Radiat Oncol       Date:  2018-03-21       Impact factor: 3.481

5.  Image-guidance triggered adaptive replanning of radiation therapy for locally advanced lung cancer: an evaluation of cases requiring plan adaptation.

Authors:  Sarit Appel; Jair Bar; Dror Alezra; Maoz Ben-Ayun; Tatiana Rabin-Alezra; Nir Honig; Tamar Katzman; Sumit Chatterji; Zvi Symon; Yaacov Richard Lawrence
Journal:  Br J Radiol       Date:  2019-11-13       Impact factor: 3.039

  5 in total

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