Literature DB >> 27663950

Multiple training interventions significantly improve reproducibility of PET/CT-based lung cancer radiotherapy target volume delineation using an IAEA study protocol.

Tom Konert1, Wouter V Vogel1, Sarah Everitt2, Michael P MacManus2, Daniela Thorwarth3, Elena Fidarova4, Diana Paez4, Jan-Jakob Sonke5, Gerard G Hanna6.   

Abstract

BACKGROUND AND
PURPOSE: To assess the impact of a standardized delineation protocol and training interventions on PET/CT-based target volume delineation (TVD) in NSCLC in a multicenter setting.
MATERIAL AND METHODS: Over a one-year period, 11 pairs, comprised each of a radiation oncologist and nuclear medicine physician with limited experience in PET/CT-based TVD for NSCLC from nine different countries took part in a training program through an International Atomic Energy Agency (IAEA) study (NCT02247713). Teams delineated gross tumor volume of the primary tumor, during and after training interventions, according to a provided delineation protocol. In-house developed software recorded the performed delineations, to allow visual inspection of strategies and to assess delineation accuracy.
RESULTS: Following the first training, overall concordance indices for 3 repetitive cases increased from 0.57±0.07 to 0.66±0.07. The overall mean surface distance between observer and expert contours decreased from -0.40±0.03cm to -0.01±0.33cm. After further training overall concordance indices for another 3 repetitive cases further increased from 0.64±0.06 to 0.80±0.05 (p=0.01). Mean surface distances decreased from -0.34±0.16cm to -0.05±0.20cm (p=0.01).
CONCLUSION: Multiple training interventions improve PET/CT-based TVD delineation accuracy in NSCLC and reduce interobserver variation.
Copyright © 2016 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Entities:  

Keywords:  Lung cancer; PET/CT; Radiation treatment planning; Radiotherapy; Target volume delineation; Training interventions

Mesh:

Year:  2016        PMID: 27663950     DOI: 10.1016/j.radonc.2016.09.002

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  8 in total

1.  Improving the accuracy and consistency of clinical target volume delineation for rectal cancer by an education program.

Authors:  Yang-Zi Zhang; Xiang-Gao Zhu; Ma-Xiaowei Song; Kai-Ning Yao; Shuai Li; Jian-Hao Geng; Hong-Zhi Wang; Yong-Heng Li; Yong Cai; Wei-Hu Wang
Journal:  World J Gastrointest Oncol       Date:  2022-05-15

Review 2.  The developing role of FDG PET imaging for prognostication and radiotherapy target volume delineation in non-small cell lung cancer.

Authors:  Tom Konert; Jeroen B van de Kamer; Jan-Jakob Sonke; Wouter V Vogel
Journal:  J Thorac Dis       Date:  2018-08       Impact factor: 2.895

Review 3.  [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 4.  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

5.  Introducing FDG PET/CT-guided chemoradiotherapy for stage III NSCLC in low- and middle-income countries: preliminary results from the IAEA PERTAIN trial.

Authors:  T Konert; W V Vogel; D Paez; A Polo; E Fidarova; H Carvalho; P S Duarte; A C Zuliani; A O Santos; D Altuhhova; L Karusoo; R Kapoor; A Sood; J Khader; A Al-Ibraheem; Y Numair; S Abubaker; C Soydal; T Kütük; T A Le; N X Canh; B Q Bieu; L N Ha; J S A Belderbos; M P MacManus; D Thorwarth; G G Hanna
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-07-31       Impact factor: 9.236

6.  Reduction of inter-observer variability using MRI and CT fusion in delineating of primary tumor for radiotherapy in lung cancer with atelectasis.

Authors:  Hongjiao Zhang; Chengrui Fu; Min Fan; Liyong Lu; Yiru Chen; Chengxin Liu; Hongfu Sun; Qian Zhao; Dan Han; Baosheng Li; Wei Huang
Journal:  Front Oncol       Date:  2022-08-03       Impact factor: 5.738

Review 7.  Challenges for Quality Assurance of Target Volume Delineation in Clinical Trials.

Authors:  Amy Tien Yee Chang; Li Tee Tan; Simon Duke; Wai-Tong Ng
Journal:  Front Oncol       Date:  2017-09-25       Impact factor: 6.244

8.  Assessment of contour variability in target volumes and organs at risk in lung cancer radiotherapy.

Authors:  Yatman Tsang; Peter Hoskin; Emiliano Spezi; David Landau; Jason Lester; Elizabeth Miles; John Conibear
Journal:  Tech Innov Patient Support Radiat Oncol       Date:  2019-06-22
  8 in total

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