Literature DB >> 17674982

Reduce in variation and improve efficiency of target volume delineation by a computer-assisted system using a deformable image registration approach.

K S Clifford Chao1, Shreerang Bhide, Hansen Chen, Joshua Asper, Steven Bush, Gregg Franklin, Vivek Kavadi, Vichaivood Liengswangwong, William Gordon, Adam Raben, Jon Strasser, Christopher Koprowski, Steven Frank, Gregory Chronowski, Anesa Ahamad, Robert Malyapa, Lifei Zhang, Lei Dong.   

Abstract

PURPOSE: To determine whether a computer-assisted target volume delineation (CAT) system using a deformable image registration approach can reduce the variation of target delineation among physicians with different head and neck (HN) IMRT experiences and reduce the time spent on the contouring process.
MATERIALS AND METHODS: We developed a deformable image registration method for mapping contours from a template case to a patient case with a similar tumor manifestation but different body configuration. Eight radiation oncologists with varying levels of clinical experience in HN IMRT performed target delineation on two HN cases, one with base-of-tongue (BOT) cancer and another with nasopharyngeal cancer (NPC), by first contouring from scratch and then by modifying the contours deformed by the CAT system. The gross target volumes were provided. Regions of interest for comparison included the clinical target volumes (CTVs) and normal organs. The volumetric and geometric variation of these regions of interest and the time spent on contouring were analyzed.
RESULTS: We found that the variation in delineating CTVs from scratch among the physicians was significant, and that using the CAT system reduced volumetric variation and improved geometric consistency in both BOT and NPC cases. The average timesaving when using the CAT system was 26% to 29% for more experienced physicians and 38% to 47% for the less experienced ones.
CONCLUSIONS: A computer-assisted target volume delineation approach, using a deformable image-registration method with template contours, was able to reduce the variation among physicians with different experiences in HN IMRT while saving contouring time.

Entities:  

Mesh:

Year:  2007        PMID: 17674982     DOI: 10.1016/j.ijrobp.2007.04.037

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  40 in total

1.  Evaluation of multiple-atlas-based strategies for segmentation of the thyroid gland in head and neck CT images for IMRT.

Authors:  A Chen; K J Niermann; M A Deeley; B M Dawant
Journal:  Phys Med Biol       Date:  2011-11-29       Impact factor: 3.609

Review 2.  Current progress in adaptive radiation therapy for head and neck cancer.

Authors:  David L Schwartz
Journal:  Curr Oncol Rep       Date:  2012-04       Impact factor: 5.075

Review 3.  Balancing risk and reward in target delineation for highly conformal radiotherapy in head and neck cancer.

Authors:  Avraham Eisbruch; Vincent Gregoire
Journal:  Semin Radiat Oncol       Date:  2009-01       Impact factor: 5.934

4.  Automatic segmentation of whole breast using atlas approach and deformable image registration.

Authors:  Valerie K Reed; Wendy A Woodward; Lifei Zhang; Eric A Strom; George H Perkins; Welela Tereffe; Julia L Oh; T Kuan Yu; Isabelle Bedrosian; Gary J Whitman; Thomas A Buchholz; Lei Dong
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-09-17       Impact factor: 7.038

5.  Combining registration and active shape models for the automatic segmentation of the lymph node regions in head and neck CT images.

Authors:  Antong Chen; Matthew A Deeley; Kenneth J Niermann; Luigi Moretti; Benoit M Dawant
Journal:  Med Phys       Date:  2010-12       Impact factor: 4.071

Review 6.  Adaptive radiation therapy in head and neck cancer for clinical practice: state of the art and practical challenges.

Authors:  Ovidiu Veresezan; Idriss Troussier; Alexis Lacout; Sarah Kreps; Sophie Maillard; Aude Toulemonde; Pierre-Yves Marcy; Florence Huguet; Juliette Thariat
Journal:  Jpn J Radiol       Date:  2016-12-01       Impact factor: 2.374

7.  Interobserver variation in clinical target volume and organs at risk segmentation in post-parotidectomy radiotherapy: can segmentation protocols help?

Authors:  M Mukesh; R Benson; R Jena; A Hoole; T Roques; C Scrase; C Martin; G A Whitfield; J Gemmill; S Jefferies
Journal:  Br J Radiol       Date:  2012-08       Impact factor: 3.039

8.  Adaptive radiation therapy for head and neck cancer-can an old goal evolve into a new standard?

Authors:  David L Schwartz; Lei Dong
Journal:  J Oncol       Date:  2010-08-18       Impact factor: 4.375

9.  Head and neck lymph node region delineation with image registration.

Authors:  Chia-Chi Teng; Linda G Shapiro; Ira J Kalet
Journal:  Biomed Eng Online       Date:  2010-06-22       Impact factor: 2.819

10.  Multi-institutional comparison of intensity modulated radiation therapy (IMRT) planning strategies and planning results for nasopharyngeal cancer.

Authors:  Sung Ho Park; Hee Chul Park; Suk Won Park; Do Hoon Oh; Youngmin Choi; Jeung Kee Kim; Yong Chan Ahn; Won Park; Hyun Sook Suh; Rena Lee; Hoonsik Bae
Journal:  J Korean Med Sci       Date:  2009-04-20       Impact factor: 2.153

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.