Literature DB >> 33522671

Correlation between 3D scanner image and MRI for tracking volume changes in head and neck cancer patients.

Jung-In Kim1,2,3, Joo-Hyun Chung1, Ohyun Kwon2, Jong Min Park1,2,3,4, Hong-Gyun Wu1,2,3,5,6.   

Abstract

INTRODUCTION: We investigated the correlation between optical surface imaging using a three-dimensional (3D) scanner and magnetic resonance imaging (MRI) for suggesting feasibility in the clinical process of tracking volume changes in head and neck patients during radiation treatment.
METHODS: Ten patients were divided into two groups depending on the location of their tumor (i.e., right or left side). With weekly imaging data, the change in volume based on MRI was evaluated during the treatment course. Four volumes of interest (VOIs) were calculated on the 3D surface image of the facial and cervical areas using an optical 3D scanner, and the correlation between volumetric parameters were analyzed.
RESULTS: The target volume changed significantly overall for both groups. The changes parotid volume reduced by up to 3.8% and 28.0% for groups A (right side) and B (left side), respectively. In Group A, VOI 1 on the facial area and VOI 3 on the cervical area decreased gradually during the treatment course by up to 3.3% and 10.7%, respectively. In Group B, only VOI 4 decreased gradually during the treatment course and reduced by up to 9.2%. In group A, the change in target volume correlated strongly with right-side parotid, VOI 1, and VOI 3, respectively. The parotid also showed strong correlations with VOIs (P < 0.01). The weight loss was strongly correlated with either PTV or parotid without statistical significance (P > 0.05). In group B (left side), the change in target volume correlated strongly with each volumetric parameter, including weight loss. For individual patient, PTV showed more correlation with VOIs on the cervical area than VOIs on the facial area.
CONCLUSIONS: An optical 3D scanner can be applied to track changes in volume without radiation exposure during treatment and the optical surface image correlated with MRI.
© 2021 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine.

Entities:  

Keywords:  3D scanner; adaptive radiotherapy; head and neck cancer; surface imaging; volume changes

Mesh:

Year:  2021        PMID: 33522671      PMCID: PMC7984490          DOI: 10.1002/acm2.13181

Source DB:  PubMed          Journal:  J Appl Clin Med Phys        ISSN: 1526-9914            Impact factor:   2.102


  33 in total

1.  Predicting the need for adaptive radiotherapy in head and neck cancer.

Authors:  Elizabeth Brown; Rebecca Owen; Fiona Harden; Kerrie Mengersen; Kimberley Oestreich; Whitney Houghton; Michael Poulsen; Selina Harris; Charles Lin; Sandro Porceddu
Journal:  Radiother Oncol       Date:  2015-06-30       Impact factor: 6.280

2.  Adaptive radiotherapy for head-and-neck cancer: initial clinical outcomes from a prospective trial.

Authors:  David L Schwartz; Adam S Garden; Jimmy Thomas; Yipei Chen; Yongbin Zhang; Jan Lewin; Mark S Chambers; Lei Dong
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-12-02       Impact factor: 7.038

3.  Adaptive radiotherapy for soft tissue changes during helical tomotherapy for head and neck cancer.

Authors:  M N Duma; S Kampfer; T Schuster; C Winkler; H Geinitz
Journal:  Strahlenther Onkol       Date:  2012-03       Impact factor: 3.621

Review 4.  Intensity-modulated radiation therapy in head and neck cancers: an update.

Authors:  Nancy Lee; Dev R Puri; Angel I Blanco; K S Clifford Chao
Journal:  Head Neck       Date:  2007-04       Impact factor: 3.147

5.  Adaptive Radiotherapy for Head and Neck Cancer.

Authors:  Murat Surucu; Karan K Shah; John C Roeske; Mehee Choi; William Small; Bahman Emami
Journal:  Technol Cancer Res Treat       Date:  2016-08-19

6.  Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT/linear accelerator system.

Authors:  Jerry L Barker; Adam S Garden; K Kian Ang; Jennifer C O'Daniel; He Wang; Laurence E Court; William H Morrison; David I Rosenthal; K S Clifford Chao; Susan L Tucker; Radhe Mohan; Lei Dong
Journal:  Int J Radiat Oncol Biol Phys       Date:  2004-07-15       Impact factor: 7.038

7.  Adaptive radiotherapy for head and neck cancer--dosimetric results from a prospective clinical trial.

Authors:  David L Schwartz; Adam S Garden; Shalin J Shah; Gregory Chronowski; Samir Sejpal; David I Rosenthal; Yipei Chen; Yongbin Zhang; Lifei Zhang; Pei-Fong Wong; John A Garcia; K Kian Ang; Lei Dong
Journal:  Radiother Oncol       Date:  2013-01-29       Impact factor: 6.280

8.  A comparison of patient position displacements from body surface laser scanning and cone beam CT bone registrations for radiotherapy of pelvic targets.

Authors:  Kenneth Wikström; Kristina Nilsson; Ulf Isacsson; Anders Ahnesjö
Journal:  Acta Oncol       Date:  2013-06-20       Impact factor: 4.089

9.  Evaluation of daily patient positioning for radiotherapy with a commercial 3D surface-imaging system (Catalyst™).

Authors:  F Walter; P Freislederer; C Belka; C Heinz; M Söhn; F Roeder
Journal:  Radiat Oncol       Date:  2016-11-24       Impact factor: 3.481

Review 10.  Applications of linac-mounted kilovoltage Cone-beam Computed Tomography in modern radiation therapy: A review.

Authors:  Kavitha Srinivasan; Mohammad Mohammadi; Justin Shepherd
Journal:  Pol J Radiol       Date:  2014-07-03
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  1 in total

1.  A pilot study of a novel method to visualize three-dimensional dose distribution on skin surface images to evaluate radiation dermatitis.

Authors:  Ye-In Park; Seo Hee Choi; Chae-Seon Hong; Min-Seok Cho; Junyoung Son; Ji Won Jang; Jihun Kim; Hojin Kim; Dong Wook Kim; Jin Sung Kim
Journal:  Sci Rep       Date:  2022-02-17       Impact factor: 4.379

  1 in total

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