Literature DB >> 30905243

Reduced inter-observer and intra-observer delineation variation in esophageal cancer radiotherapy by use of fiducial markers.

Mélanie Machiels1, Peng Jin1, Jeanin E van Hooft2, Oliver J Gurney-Champion1, Pouya Jelvehgaran1,3,4, Elizabeth D Geijsen1, Paul M Jeene1, M Willemijn Kolff1, Vera Oppedijk5, Coen R N Rasch1, Marcel B van Herk6, Tanja Alderliesten1, Maarten C C M Hulshof1.   

Abstract

Objective: Delineation variation of esophageal tumors remains a large source of geometric uncertainty. In the present study, we investigated the inter- and intra-observer variation in esophageal gross tumor volume (GTV) delineation and the impact of endoscopically implanted fiducial markers on these variations. Material/
Methods: Ten esophageal cancer patients with at least two markers endoscopically implanted at the cranial and caudal tumor borders and visible on the planning computed tomography (pCT) were included in this study. Five dedicated gastrointestinal radiation oncologists independently delineated GTVs on the pCT without markers and with markers. The GTV was first delineated on pCTs where markers were digitally removed and next on the original pCT with markers. Both delineation series were executed twice to determine intra-observer variation. For both the inter- and intra-observer analyses, the generalized conformity index (CIgen), and the standard deviation (SD) of the distances between delineated surfaces (i.e., overall, longitudinal, and radial SDs) were calculated. Linear mixed-effect models were used to compare the without and with markers series (α = 0.05).
Results: Both the inter- and intra-observer CIgen were significantly larger in the series with markers than in the series without markers (p < .001). For the series without markers vs. with markers, the inter-observer overall SD, longitudinal SD, and radial SD was 0.63 cm vs. 0.22 cm, 1.44 cm vs. 0.42 cm, and 0.26 cm vs. 0.18 cm, respectively (p < .05); moreover, the intra-observer overall SD, longitudinal SD, and radial SD was 0.45 cm vs. 0.26 cm, 1.10 cm vs. 0.41 cm, and 0.22 cm vs. 0.15 cm, respectively (p < .05).
Conclusion: The presence of markers at the cranial and caudal tumor borders significantly reduced both inter- and intra-observer GTV delineation variation, especially in the longitudinal direction. Our results endorse the use of markers in GTV delineation for esophageal cancer patients.

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Year:  2019        PMID: 30905243     DOI: 10.1080/0284186X.2019.1588991

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  5 in total

1.  Multi-Institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume Using Planning CT and FDG-PET/CT.

Authors:  Xianghua Ye; Dazhou Guo; Chen-Kan Tseng; Jia Ge; Tsung-Min Hung; Ping-Ching Pai; Yanping Ren; Lu Zheng; Xinli Zhu; Ling Peng; Ying Chen; Xiaohua Chen; Chen-Yu Chou; Danni Chen; Jiaze Yu; Yuzhen Chen; Feiran Jiao; Yi Xin; Lingyun Huang; Guotong Xie; Jing Xiao; Le Lu; Senxiang Yan; Dakai Jin; Tsung-Ying Ho
Journal:  Front Oncol       Date:  2022-01-24       Impact factor: 6.244

2.  Inter-Observer and Intra-Observer Variability in Gross Tumor Volume Delineation of Primary Esophageal Carcinomas Based on Different Combinations of Diagnostic Multimodal Images.

Authors:  Fengxiang Li; Yankang Li; Xue Wang; Yingjie Zhang; Xijun Liu; Shanshan Liu; Wei Wang; Jinzhi Wang; Yanluan Guo; Min Xu; Jianbin Li
Journal:  Front Oncol       Date:  2022-04-01       Impact factor: 5.738

3.  Comparison of endoscopically determined gross tumor volume and metabolic tumor volume in esophageal cancer.

Authors:  Tae Hoon Lee; Hyun Gee Ryoo; Reeree Lee; Jin Chul Paeng; Hyunsoo Chung; Hak Jae Kim
Journal:  Medicine (Baltimore)       Date:  2021-06-18       Impact factor: 1.817

4.  Assessment and validation of the internal gross tumour volume of gastroesophageal junction cancer during simultaneous integrated boost radiotherapy.

Authors:  Jinming Shi; Yuan Tang; Ning Li; Yongwen Song; Shulian Wang; Yueping Liu; Hui Fang; Ningning Lu; Yu Tang; Shunan Qi; Bo Chen; Yexiong Li; Wenyang Liu; Jing Jin
Journal:  Radiat Oncol       Date:  2022-02-03       Impact factor: 3.481

5.  FIELDRT: an open-source platform for the assessment of target volume delineation in radiation therapy.

Authors:  Concetta Piazzese; Elin Evans; Betsan Thomas; John Staffurth; Sarah Gwynne; Emiliano Spezi
Journal:  Br J Radiol       Date:  2021-08-06       Impact factor: 3.629

  5 in total

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