Literature DB >> 24751406

Prospective evaluation of dual-energy imaging in patients undergoing image guided radiation therapy for lung cancer: initial clinical results.

Tracy Sherertz1, Mark Hoggarth1, Jason Luce1, Alec M Block1, Suneel Nagda1, Matthew M Harkenrider1, Bahman Emami1, John C Roeske2.   

Abstract

PURPOSE: A prospective feasibility study was conducted to investigate the utility of dual-energy (DE) imaging compared to conventional x-ray imaging for patients undergoing kV-based image guided radiation therapy (IGRT) for lung cancer. METHODS AND MATERIALS: An institutional review board-approved feasibility study enrolled patients with lung cancer undergoing IGRT and was initiated in September 2011. During daily setup, 2 sequential respiration-gated x-ray images were obtained using an on-board imager. Imaging was composed of 1 standard x-ray image at 120 kVp (1 mAs) and a second image obtained at 60 kVp (4 mAs). Weighted logarithmic subtraction of the 2 images was performed offline to create a soft tissue-selective DE image. Conventional and DE images were evaluated by measuring relative contrast and contrast-to-noise ratios (CNR) and also by comparing spatial localization, using both approaches. Imaging dose was assessed using a calibrated ion chamber.
RESULTS: To date, 10 patients with stage IA to IIIA lung cancer were enrolled and 57 DE images were analyzed. DE subtraction resulted in complete suppression of overlying bone in all 57 DE images, with an average improvement in relative contrast of 4.7 ± 3.3 over that of 120 kVp x-ray images (P<.0002). The improvement in relative contrast with DE imaging was seen for both smaller (gross tumor volume [GTV] ≤5 cc) and larger tumors (GTV >5 cc), with average relative contrast improvement ratios of 3.4 ± 4.1 and 5.4 ± 3.6, respectively. Moreover, the GTV was reliably localized in 95% of the DE images versus 74% of the single energy (SE images, (P=.004). Mean skin dose per DE image set was 0.44 ± 0.03 mGy versus 0.43 ± 0.03 mGy, using conventional kV imaging parameters.
CONCLUSIONS: Initial results of this feasibility study suggest that DE thoracic imaging may enhance tumor localization in lung cancer patients receiving kV-based IGRT without increasing imaging dose.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2014        PMID: 24751406     DOI: 10.1016/j.ijrobp.2014.03.004

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


  7 in total

1.  Evaluation of a template-based algorithm for markerless lung tumour localization on single- and dual-energy kilovoltage images.

Authors:  Alec M Block; Rakesh Patel; Murat Surucu; Matthew M Harkenrider; John C Roeske
Journal:  Br J Radiol       Date:  2016-10-12       Impact factor: 3.039

2.  Characterization and potential applications of a dual-layer flat-panel detector.

Authors:  Linxi Shi; Minghui Lu; N Robert Bennett; Edward Shapiro; Jin Zhang; Richard Colbeth; Josh Star-Lack; Adam S Wang
Journal:  Med Phys       Date:  2020-05-18       Impact factor: 4.071

3.  Characterization of Markerless Tumor Tracking Using the On-Board Imager of a Commercial Linear Accelerator Equipped With Fast-kV Switching Dual-Energy Imaging.

Authors:  John C Roeske; Hassan Mostafavi; Maksat Haytmyradov; Adam Wang; Daniel Morf; Luca Cortesi; Murat Surucu; Rakesh Patel; Roberto Cassetta; Liangjia Zhu; Mathias Lehmann; Matthew M Harkenrider
Journal:  Adv Radiat Oncol       Date:  2020-03-02

4.  Markerless tumor tracking using fast-kV switching dual-energy fluoroscopy on a benchtop system.

Authors:  Maksat Haytmyradov; Hassan Mostafavi; Adam Wang; Liangjia Zhu; Murat Surucu; Rakesh Patel; Arun Ganguly; Michelle Richmond; Roberto Cassetta; Matthew M Harkenrider; John C Roeske
Journal:  Med Phys       Date:  2019-06-01       Impact factor: 4.071

5.  Adaptive weighted log subtraction based on neural networks for markerless tumor tracking using dual-energy fluoroscopy.

Authors:  Maksat Haytmyradov; Hassan Mostafavi; Roberto Cassetta; Rakesh Patel; Murat Surucu; Liangjia Zhu; John C Roeske
Journal:  Med Phys       Date:  2020-01-10       Impact factor: 4.071

Review 6.  Technical Principles of Dual-Energy Cone Beam Computed Tomography and Clinical Applications for Radiation Therapy.

Authors:  Shailaja Sajja; Young Lee; Markus Eriksson; Håkan Nordström; Arjun Sahgal; Masoud Hashemi; James G Mainprize; Mark Ruschin
Journal:  Adv Radiat Oncol       Date:  2019-07-30

7.  Evaluation of Radiomics to Predict the Accuracy of Markerless Motion Tracking of Lung Tumors: A Preliminary Study.

Authors:  Kevin Nguyen; Maksat Haytmyradov; Hassan Mostafavi; Rakesh Patel; Murat Surucu; Alec Block; Matthew M Harkenrider; John C Roeske
Journal:  Front Oncol       Date:  2018-07-31       Impact factor: 6.244

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.