Literature DB >> 26922488

CT ventilation functional image-based IMRT treatment plans are comparable to SPECT ventilation functional image-based plans.

Satoshi Kida1, Matthieu Bal2, Sven Kabus3, Mohammadreza Negahdar4, Xin Shan4, Billy W Loo4, Paul J Keall5, Tokihiro Yamamoto6.   

Abstract

PURPOSE: To investigate the hypothesis that CT ventilation functional image-based IMRT plans designed to avoid irradiating highly-functional lung regions are comparable to single-photon emission CT (SPECT) ventilation functional image-based plans. METHODS AND MATERIALS: Three IMRT plans were created for eight thoracic cancer patients using: (1) CT ventilation functional images, (2) SPECT ventilation functional images, and (3) anatomic images (no functional images). CT ventilation images were created by deformable image registration of 4D-CT image data sets and quantitative analysis. The resulting plans were analyzed for the relationship between the deviations of CT-functional plan metrics from anatomic plan metrics (ΔCT-anatomic) and those of SPECT-functional plans (ΔSPECT-anatomic), and moreover for agreements of various metrics between the CT-functional and SPECT-functional plans.
RESULTS: The relationship between ΔCT-anatomic and ΔSPECT-anatomic was strong (e.g., R=0.94; linear regression slope 0.71). The average differences and 95% limits of agreement between the CT-functional and SPECT-functional plan metrics (except for monitor units) for various structures were mostly less than 1% and 2%, respectively.
CONCLUSIONS: This study demonstrated a reasonable agreement between the CT ventilation functional image-based IMRT plans and SPECT-functional plans, suggesting the potential for CT ventilation imaging to serve as a surrogate for SPECT ventilation in functional image-guided radiotherapy.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  4D-CT; Deformable image registration; Lung cancer; Lung functional imaging; Radiation pneumonitis

Mesh:

Year:  2016        PMID: 26922488     DOI: 10.1016/j.radonc.2016.02.019

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  11 in total

1.  The VAMPIRE challenge: A multi-institutional validation study of CT ventilation imaging.

Authors:  John Kipritidis; Bilal A Tahir; Guillaume Cazoulat; Michael S Hofman; Shankar Siva; Jason Callahan; Nicholas Hardcastle; Tokihiro Yamamoto; Gary E Christensen; Joseph M Reinhardt; Noriyuki Kadoya; Taylor J Patton; Sarah E Gerard; Isabella Duarte; Ben Archibald-Heeren; Mikel Byrne; Rick Sims; Scott Ramsay; Jeremy T Booth; Enid Eslick; Fiona Hegi-Johnson; Henry C Woodruff; Rob H Ireland; Jim M Wild; Jing Cai; John E Bayouth; Kristy Brock; Paul J Keall
Journal:  Med Phys       Date:  2019-02-01       Impact factor: 4.071

2.  Treatment planning based on lung functional avoidance is not ready for clinical deployment.

Authors:  Amit Sawant; Tokihiro Yamamoto; Jing Cai
Journal:  Med Phys       Date:  2018-04-14       Impact factor: 4.071

3.  Evaluating the Toxicity Reduction With Computed Tomographic Ventilation Functional Avoidance Radiation Therapy.

Authors:  Austin M Faught; Yuya Miyasaka; Noriyuki Kadoya; Richard Castillo; Edward Castillo; Yevgeniy Vinogradskiy; Tokihiro Yamamoto
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-04-26       Impact factor: 7.038

4.  Predicting radiation pneumonitis with fuzzy clustering neural network using 4DCT ventilation image based dosimetric parameters.

Authors:  Peng Huang; Hui Yan; Zhihui Hu; Zhiqiang Liu; Yuan Tian; Jianrong Dai
Journal:  Quant Imaging Med Surg       Date:  2021-12

5.  VMAT Planning With Xe-CT Functional Images Enables Radiotherapy Planning With Consideration of Lung Function.

Authors:  Nobuko Utsumi; Takeo Takahashi; Shogo Hatanaka; Masatsugu Hariu; Mio Saito; Shuichi Kondo; Rikana Soda; Keiichiro Nishimura; Takafumi Yamano; Wataru Watanabe; Munefumi Shimbo; Norinari Honda
Journal:  Cancer Diagn Progn       Date:  2021-07-03

6.  Changes in Regional Ventilation During Treatment and Dosimetric Advantages of CT Ventilation Image Guided Radiation Therapy for Locally Advanced Lung Cancer.

Authors:  Tokihiro Yamamoto; Sven Kabus; Matthieu Bal; Karl Bzdusek; Paul J Keall; Cari Wright; Stanley H Benedict; Megan E Daly
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-05-04       Impact factor: 7.038

7.  Correlation of Functional Lung Heterogeneity and Dosimetry to Radiation Pneumonitis using Perfusion SPECT/CT and FDG PET/CT Imaging.

Authors:  Howard J Lee; Jing Zeng; Hubert J Vesselle; Shilpen A Patel; Ramesh Rengan; Stephen R Bowen
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-06-01       Impact factor: 7.038

8.  Characterizing spatial differences between SPECT-ventilation and SPECT-perfusion in patients with lung cancer undergoing radiotherapy.

Authors:  Farnoush Forghani; Taylor Patton; Jennifer Kwak; David Thomas; Quentin Diot; Chad Rusthoven; Richard Castillo; Edward Castillo; Inga Grills; Thomas Guerrero; Moyed Miften; Yevgeniy Vinogradskiy
Journal:  Radiother Oncol       Date:  2021-05-06       Impact factor: 6.901

9.  Impact of 99mTc-GSA SPECT Image-Guided Inverse Planning on Dose-Function Histogram Parameters for Stereotactic Body Radiation Therapy Planning for Patients With Hepatocellular Carcinoma: A Dosimetric Comparison Study.

Authors:  Ryo Toya; Tetsuo Saito; Yudai Kai; Shinya Shiraishi; Tomohiko Matsuyama; Takahiro Watakabe; Fumi Sakamoto; Noriko Tsuda; Yoshinobu Shimohigashi; Yasuyuki Yamashita; Natsuo Oya
Journal:  Dose Response       Date:  2019-03-04       Impact factor: 2.658

Review 10.  Functional lung imaging in thoracic tumor radiotherapy: Application and progress.

Authors:  Pi-Xiao Zhou; Shu-Xu Zhang
Journal:  Front Oncol       Date:  2022-09-23       Impact factor: 5.738

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