Literature DB >> 27599608

Impact of coronal and sagittal views on lung gross tumor volume delineation.

Isabelle Fitton1, Joop C Duppen2, Roel J H M Steenbakkers3, Heidi Lotz3, Peter J C M Nowak4, Coen R N Rasch5, Marcel van Herk6.   

Abstract

BACKGROUND AND
PURPOSE: To study the impact of coronal and sagittal views (CSV) on the gross tumor volume (GTV) delineation on CT and matched PET/CT scans in non-small cell lung cancer.
MATERIAL AND METHODS: GTV delineations were performed by 11 experienced radiation oncologists on CT and PET/CT in 22 patients. Two tumor groups were defined: Group I: Primary tumors surrounded by lung or visceral pleura, without venous invasion, and without large extensions to the chest wall or the mediastinum. Group II: Tumors invading the hilar region, heart, large vessels, pericardium, and the mediastinum and/or associated with atelectasis. Tumor volumes and inter-observers variations (SD) were calculated and compared according to the use of axial view only (AW), axial/coronal/sagittal views (ACSW) and ACSW/PET (ACSWP).
RESULTS: CSV were not frequently used (57.4% out of 242 delineations on CT). For group I, ACSW didn't improve significantly mean GTVs. SDs were small on CT and on PET (SD=0.3cm). For group II, ACSW had 27-46% smaller observer variation (mean SD=0.7cm) than AW (mean SD=1.1cm). The smaller observer variation of ACSW users was associated with, on average, a 40% smaller delineated volume (p=0.038). Mean GTV of ACSWP was 21% larger than mean GTV of ACSW on CT.
CONCLUSIONS: For smaller lung tumors surrounded by healthy lung tissue the effect of multiple axis delineation is limited. However, application of coronal and sagittal windows is highly beneficial for delineation of more complex tumors, with atelectasis and/or pathological lymph nodes even if PET is used.
Copyright © 2016 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Coronal view; Inter-observer variability; Lung cancer; Radiotherapy; Sagittal view; Target delineation

Mesh:

Year:  2016        PMID: 27599608     DOI: 10.1016/j.ejmp.2016.08.005

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  2 in total

Review 1.  [Target volume concepts in radiotherapy and their implications for imaging].

Authors:  N G Burnet; D J Noble; A Paul; G A Whitfield; S Delorme
Journal:  Radiologe       Date:  2018-08       Impact factor: 0.635

Review 2.  Challenges in the target volume definition of lung cancer radiotherapy.

Authors:  Susan Mercieca; José S A Belderbos; Marcel van Herk
Journal:  Transl Lung Cancer Res       Date:  2021-04
  2 in total

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