Literature DB >> 17414470

The effect of dental artifacts, contrast media, and experience on interobserver contouring variations in head and neck anatomy.

Jennifer C O'Daniel1, David I Rosenthal, Adam S Garden, Jerry L Barker, Anesa Ahamad, K Kian Ang, Joshua A Asper, Angel I Blanco, Renaud de Crevoisier, F Christopher Holsinger, Chirag B Patel, David L Schwartz, He Wang, Lei Dong.   

Abstract

OBJECTIVES: To investigate interobserver variability in the delineation of head-and-neck (H&N) anatomic structures on CT images, including the effects of image artifacts and observer experience.
METHODS: Nine observers (7 radiation oncologists, 1 surgeon, and 1 physician assistant) with varying levels of H&N delineation experience independently contoured H&N gross tumor volumes and critical structures on radiation therapy treatment planning CT images alongside reference diagnostic CT images for 4 patients with oropharynx cancer. Image artifacts from dental fillings partially obstructed 3 images. Differences in the structure volumes, center-of-volume positions, and boundary positions (1 SD) were measured. In-house software created three-dimensional overlap distributions, including all observers. The effects of dental artifacts and observer experience on contouring precision were investigated, and the need for contrast media was assessed.
RESULTS: In the absence of artifacts, all 9 participants achieved reasonable precision (1 SD < or =3 mm all boundaries). The structures obscured by dental image artifacts had larger variations when measured by the 3 metrics (1 SD = 8 mm cranial/caudal boundary). Experience improved the interobserver consistency of contouring for structures obscured by artifacts (1 SD = 2 mm cranial/caudal boundary).
CONCLUSIONS: Interobserver contouring variability for anatomic H&amp;N structures, specifically oropharyngeal gross tumor volumes and parotid glands, was acceptable in the absence of artifacts. Dental artifacts increased the contouring variability, but experienced participants achieved reasonable precision even with artifacts present. With a staging contrast CT image as a reference, delineation on a noncontrast treatment planning CT image can achieve acceptable precision.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17414470     DOI: 10.1097/01.coc.0000256704.58956.45

Source DB:  PubMed          Journal:  Am J Clin Oncol        ISSN: 0277-3732            Impact factor:   2.339


  10 in total

1.  Interobserver and intermodality variability in GTV delineation on simulation CT, FDG-PET, and MR Images of Head and Neck Cancer.

Authors:  Carryn M Anderson; Wenqing Sun; John M Buatti; Joan E Maley; Bruno Policeni; Sarah L Mott; John E Bayouth
Journal:  Jacobs J Radiat Oncol       Date:  2014-09

Review 2.  Interobserver variation in parotid gland delineation: a study of its impact on intensity-modulated radiotherapy solutions with a systematic review of the literature.

Authors:  S W Loo; W M C Martin; P Smith; S Cherian; T W Roques
Journal:  Br J Radiol       Date:  2012-08       Impact factor: 3.039

3.  General and custom deep learning autosegmentation models for organs in head and neck, abdomen, and male pelvis.

Authors:  Asma Amjad; Jiaofeng Xu; Dan Thill; Colleen Lawton; William Hall; Musaddiq J Awan; Monica Shukla; Beth A Erickson; X Allen Li
Journal:  Med Phys       Date:  2022-02-07       Impact factor: 4.071

4.  Development of a stereoscopic CT metal artifact management algorithm using gantry angle tilts for head and neck patients.

Authors:  Daniela Branco; Stephen Kry; Paige Taylor; John Rong; Xiaodong Zhang; Christine Peterson; Steven Frank; David Followill
Journal:  J Appl Clin Med Phys       Date:  2020-06-07       Impact factor: 2.102

5.  Improvements in CBCT Image Quality Using a Novel Iterative Reconstruction Algorithm: A Clinical Evaluation.

Authors:  Stephen J Gardner; Weihua Mao; Chang Liu; Ibrahim Aref; Mohamed Elshaikh; Joon K Lee; Deepak Pradhan; Benjamin Movsas; Indrin J Chetty; Farzan Siddiqui
Journal:  Adv Radiat Oncol       Date:  2019-01-10

6.  Evaluation of image quality of a novel computed tomography metal artifact management technique on an anthropomorphic head and neck phantom.

Authors:  Daniela Branco; Stephen Kry; Paige Taylor; John Rong; Xiaodong Zhang; Steven Frank; David Followill
Journal:  Phys Imaging Radiat Oncol       Date:  2021-02-21

7.  Monte Carlo modeling of the Elekta Versa HD and patient dose calculation with EGSnrc/BEAMnrc.

Authors:  Holly M Parenica Paschal; Christopher N Kabat; Pavlos Papaconstadopoulos; Neil A Kirby; Pamela A Myers; Timothy D Wagner; Sotirios Stathakis
Journal:  J Appl Clin Med Phys       Date:  2022-08-19       Impact factor: 2.243

8.  Evaluation of an automatic segmentation algorithm for definition of head and neck organs at risk.

Authors:  David Thomson; Chris Boylan; Tom Liptrot; Adam Aitkenhead; Lip Lee; Beng Yap; Andrew Sykes; Carl Rowbottom; Nicholas Slevin
Journal:  Radiat Oncol       Date:  2014-08-03       Impact factor: 3.481

9.  Comparative Evaluation of the Artefacts Index of Dental Materials on Two-Dimensional Cone-beam Computed Tomography.

Authors:  Fusong Yuan; Litong Chen; Xiaofei Wang; Yong Wang; Peijun Lyu; Yuchun Sun
Journal:  Sci Rep       Date:  2016-05-17       Impact factor: 4.379

10.  A prospective in silico analysis of interdisciplinary and interobserver spatial variability in post-operative target delineation of high-risk oral cavity cancers: Does physician specialty matter?

Authors:  Sweet Ping Ng; Brandon A Dyer; Jayashree Kalpathy-Cramer; Abdallah Sherif Radwan Mohamed; Musaddiq J Awan; G Brandon Gunn; Jack Phan; Mark Zafereo; J Matthew Debnam; Carol M Lewis; Rivka R Colen; Michael E Kupferman; Nandita Guha-Thakurta; Guadalupe Canahuate; G Elisabeta Marai; David Vock; Bronwyn Hamilton; John Holland; Carlos E Cardenas; Stephen Lai; David Rosenthal; Clifton David Fuller
Journal:  Clin Transl Radiat Oncol       Date:  2018-08-02
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.