Literature DB >> 19453535

Inter-observer variability of clinical target volume delineation for bladder cancer using CT and cone beam CT.

F Foroudi1, A Haworth, A Pangehel, J Wong, P Roxby, G Duchesne, S Williams, K H Tai.   

Abstract

To compare the image quality of cone beam CT (CBCT) with that of planning CT (pCT) scan, and quantify inter-observer differences in therapeutic indices based on these scans prior to the introduction of an adaptive radiation therapy protocol for bladder cancer. Four consecutive patients were selected with muscle invasive bladder cancer receiving radical dose radiation therapy. Four radiation oncologists specializing in genitourinary malignancies contoured the clinical target volume (CTV) and rectum on both a pCT and a randomly chosen CBCT of the same patient. A conformity index (CI) for CTV and the rectum was determined for both pCT and CBCT. The maximal lateral, anterior, posterior, cranial and caudal extensions of the CTV for both CT and CBCT were determined for each observer. Variation in volumes of both the CTV and rectum for both pCT and were also compared using Varian Eclipse planning software (Varian Medical Systems, Palo Alto, CA, USA). Using pCT the mean CI for the CTV was 0.79; using CBCT the mean CI for the CTV was 0.75. For the rectum, the mean CI for using CT was 0.80 and for CBCT was 0.74. Greatest variation on CBCT CTV contours was seen in the supero-inferior direction with variation up to 2.1 cm between different radiation oncologists. With the variation in CI for pCT and CBCT of the CTV and rectum (0.04 and 0.06 respectively), CBCT is not significantly inferior to the pCT in terms of inter-observer contouring variability.

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Year:  2009        PMID: 19453535     DOI: 10.1111/j.1754-9485.2009.02044.x

Source DB:  PubMed          Journal:  J Med Imaging Radiat Oncol        ISSN: 1754-9477            Impact factor:   1.735


  9 in total

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2.  Comparison of adaptive radiotherapy techniques for the treatment of bladder cancer.

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Authors:  J E Scaife; G C Barnett; D J Noble; R Jena; S J Thomas; C M L West; N G Burnet
Journal:  Br J Radiol       Date:  2015-05-26       Impact factor: 3.039

4.  Random variation in rectal position during radiotherapy for prostate cancer is two to three times greater than that predicted from prostate motion.

Authors:  J Scaife; K Harrison; M Romanchikova; A Parker; M Sutcliffe; S Bond; S Thomas; S Freeman; R Jena; A Bates; N Burnet
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Review 5.  Improving radiation physics, tumor visualisation, and treatment quantification in radiotherapy with spectral or dual-energy CT.

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6.  Evaluation of inter-observer variability of bladder boundary delineation on cone-beam CT.

Authors:  Kentaro Nishioka; Shinichi Shimizu; Rumiko Kinoshita; Tetsuya Inoue; Shunsuke Onodera; Koichi Yasuda; Keiichi Harada; Yukiko Nishikawa; Rikiya Onimaru; Hiroki Shirato
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7.  Deep learning vs. atlas-based models for fast auto-segmentation of the masticatory muscles on head and neck CT images.

Authors:  Wen Chen; Yimin Li; Brandon A Dyer; Xue Feng; Shyam Rao; Stanley H Benedict; Quan Chen; Yi Rong
Journal:  Radiat Oncol       Date:  2020-07-20       Impact factor: 3.481

8.  Role of deformable image registration for delivered dose accumulation of adaptive external beam radiation therapy and brachytherapy in cervical cancer.

Authors:  Laura E van Heerden; Jorrit Visser; Kees Koedooder; Coen Rn Rasch; Bradley R Pieters; Arjan Bel
Journal:  J Contemp Brachytherapy       Date:  2018-12-28

9.  Clinical validation of an automatic atlas-based segmentation tool for male pelvis CT images.

Authors:  Marta Casati; Stefano Piffer; Silvia Calusi; Livia Marrazzo; Gabriele Simontacchi; Vanessa Di Cataldo; Daniela Greto; Isacco Desideri; Marco Vernaleone; Giulio Francolini; Lorenzo Livi; Stefania Pallotta
Journal:  J Appl Clin Med Phys       Date:  2022-01-22       Impact factor: 2.102

  9 in total

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