Literature DB >> 22901227

Evaluation of the geometric accuracy of anatomic landmarks as surrogates for intrapulmonary tumors in image-guided radiotherapy.

Hong-Sheng Li1, Ling-Ling Kong, Jian Zhang, Bao-Sheng Li, Jin-Hu Chen, Jian Zhu, Tong-Hai Liu, Yong Yin.   

Abstract

OBJECTIVES: The purpose of this study was to evaluate the geometric accuracy of thoracic anatomic landmarks as target surrogates of intrapulmonary tumors for manual rigid registration during image-guided radiotherapy (IGRT).
METHODS: Kilovolt cone-beam computed tomography (CBCT) images acquired during IGRT for 29 lung cancer patients with 33 tumors, including 16 central and 17 peripheral lesions, were analyzed. We selected the "vertebrae", "carina", and "large bronchi" as the candidate surrogates for central targets, and the "vertebrae", "carina", and "ribs" as the candidate surrogates for peripheral lesions. Three to six pairs of small identifiable markers were noted in the tumors for the planning CT and Day 1 CBCT. The accuracy of the candidate surrogates was evaluated by comparing the distances of the corresponding markers after manual rigid matching based on the "tumor" and a particular surrogate. Differences between the surrogates were assessed using 1-way analysis of variance and post hoc least-significant-difference tests.
RESULTS: For central targets, the residual errors increased in the following ascending order: "tumor", "bronchi", "carina", and "vertebrae"; there was a significant difference between "tumor" and "vertebrae" (p=0.010). For peripheral diseases, the residual errors increased in the following ascending order: "tumor", "ribs", "vertebrae", and "carina". There was a significant difference between "tumor" and "carina" (p=0.005).
CONCLUSIONS: The "bronchi" and "carina" are the optimal surrogates for central lung targets, while "ribs" and "vertebrae" are the optimal surrogates for peripheral lung targets for manual matching of online and planned tumors.

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Year:  2012        PMID: 22901227     DOI: 10.7314/apjcp.2012.13.5.2393

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  3 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.  Comparison of different registration methods and landmarks for image-guided radiation therapy of pulmonary tumors.

Authors:  Xiaohui Cao; Ming Liu; Fushan Zhai; Nan Li; Chaoen Bao; Yinliang Liu; Gang Chen
Journal:  BMC Med Imaging       Date:  2019-05-31       Impact factor: 1.930

3.  Evaluation of the Efficacy of Rotational Corrections for Standard-Fractionation Head and Neck Image-Guided Radiotherapy.

Authors:  Joseph S Kung; William T Tran; Ian Poon; Eshetu G Atenafu; Lorraine Courneyea; Kevin Higgins; Danny Enepekides; Arjun Sahgal; Lee Chin; Irene Karam
Journal:  Technol Cancer Res Treat       Date:  2018 Jan-Dec
  3 in total

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