Literature DB >> 21189455

Evaluation of kV cone-beam ct performance for prostate IGRT: a comparison of automatic grey-value alignment to implanted fiducial-marker alignment.

Wenyin Shi1, Jonathan G Li, Robert A Zlotecki, Anamaria Yeung, Heather Newlin, Jatinder Palta, Chihray Liu, Alexei V Chvetsov, Kenneth Olivier.   

Abstract

PURPOSE: Cone-beam computed tomography (CBCT) is a new image-guided radiation therapy (IGRT) technique for patient alignment in radiotherapy. The CBCT x-ray volume imaging system from Elekta allows for a variety of alignment methods. The aim of this study is to assess the accuracy of soft-tissue-based automatic alignment as compared with manual alignment using intraprostatic fiducials. METHODS AND MATERIALS: All patients were treated on an Elekta Synergy S linear accelerator with kilovoltage CBCT. All alignments were performed using the x-ray volume imaging system and associated software. Automatic alignment with gray-value-based registration and manual alignment to fiducial markers were performed. Transitional corrections along each axis as well as 3-dimensional vectors were compared with evaluate the accuracy of gray-value-based registration compared with fiducials.
RESULTS: The distribution of the 3-dimensional vectors between gray-value and fiducial registrations demonstrated notable differences. The mean summed vector was 0.75 cm, with a standard deviation (SD) of 0.52 cm and range from 0.04 to 2.06 cm. There was minimal difference along the lateral direction, with a mean ± SD of -0.02 cm ± 0.13 cm. However, there were large discrepancies along the superior-inferior and anterior-posterior direction alignments, with mean ± SD values of -0.55 ± 0.48 cm and -0.31 ± 0.43 cm, respectively.
CONCLUSIONS: CBCT with soft-tissue-based automatic corrections is not an accurate alignment compared with manual alignment to fiducial markers for prostate IGRT. We have concluded that a daily manual alignment to fiducials is one of the most reliable methods to maintain accuracy in prostate IGRT.

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Year:  2011        PMID: 21189455     DOI: 10.1097/COC.0b013e3181d26b1a

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


  14 in total

1.  Numerical deconvolution to enhance sharpness and contrast of portal images for radiotherapy patient positioning verification.

Authors:  H K Looe; Y Uphoff; D Harder; B Poppe; K C Willborn
Journal:  Strahlenther Onkol       Date:  2012-01-12       Impact factor: 3.621

2.  Prostate positioning using cone-beam computer tomography based on manual soft-tissue registration: interobserver agreement between radiation oncologists and therapists.

Authors:  B A Jereczek-Fossa; C Pobbiati; L Santoro; C Fodor; P Fanti; S Vigorito; G Baroni; D Zerini; O De Cobelli; R Orecchia
Journal:  Strahlenther Onkol       Date:  2013-08-17       Impact factor: 3.621

3.  Comparison between manual and automatic image registration in image-guided radiation therapy using megavoltage cone-beam computed tomography with an imaging beam line for prostate cancer.

Authors:  Takashi Hashido; Shinya Nakasone; Mari Fukao; Seiichi Ota; Shinichi Inoue
Journal:  Radiol Phys Technol       Date:  2018-09-21

4.  Daily patient setup error in prostate image guided radiation therapy with fiducial-based kilovoltage onboard imaging and conebeam computed tomography.

Authors:  Jason C Ye; Muhammad M Qureshi; Pauline Clancy; Lauren N Dise; John Willins; Ariel E Hirsch
Journal:  Quant Imaging Med Surg       Date:  2015-10

5.  Semi-automated prediction approach of target shifts using machine learning with anatomical features between planning and pretreatment CT images in prostate radiotherapy.

Authors:  Yudai Kai; Hidetaka Arimura; Kenta Ninomiya; Tetsuo Saito; Yoshinobu Shimohigashi; Akiko Kuraoka; Masato Maruyama; Ryo Toya; Natsuo Oya
Journal:  J Radiat Res       Date:  2020-03-23       Impact factor: 2.724

6.  IMPACT OF THREE DIFFERENT MATCHING METHODS ON PATIENT SET-UP ERROR IN X-RAY VOLUMETRIC IMAGING FOR HEAD AND NECK CANCER.

Authors:  P Mohandass; D Khanna; B Nishaanth; C Saravanan; Narendra Bhalla; Abhishek Puri; Blessy Mohandass
Journal:  Rep Pract Oncol Radiother       Date:  2020-09-21

7.  Comparison of measurement methods with a mixed effects procedure accounting for replicated evaluations (COM3PARE): method comparison algorithm implementation for head and neck IGRT positional verification.

Authors:  Anuradha Roy; Clifton D Fuller; David I Rosenthal; Charles R Thomas
Journal:  BMC Med Imaging       Date:  2015-08-28       Impact factor: 1.930

8.  Three-dimensional conformal intensity-modulated radiation therapy of left femur foci does not damage the sciatic nerve.

Authors:  Wanlong Xu; Xibin Zhao; Qing Wang; Jungang Sun; Jiangbo Xu; Wenzheng Zhou; Hao Wang; Shigui Yan; Hong Yuan
Journal:  Neural Regen Res       Date:  2014-10-15       Impact factor: 5.135

9.  Utilization of cone beam CT for reconstruction of dose distribution delivered in image-guided radiotherapy of prostate carcinoma - bony landmark setup compared to fiducial markers setup.

Authors:  Petr Paluska; Josef Hanus; Jana Sefrova; Lucie Rouskova; Jakub Grepl; Jan Jansa; Linda Kasaova; Miroslav Hodek; Milan Zouhar; Milan Vosmik; Jiri Petera
Journal:  J Appl Clin Med Phys       Date:  2013-05-06       Impact factor: 2.102

Review 10.  ACR Appropriateness Criteria for external beam radiation therapy treatment planning for clinically localized prostate cancer, part II of II.

Authors:  Nicholas G Zaorsky; Timothy N Showalter; Gary A Ezzell; Paul L Nguyen; Dean G Assimos; Anthony V D'Amico; Alexander R Gottschalk; Gary S Gustafson; Sameer R Keole; Stanley L Liauw; Shane Lloyd; Patrick W McLaughlin; Benjamin Movsas; Bradley R Prestidge; Al V Taira; Neha Vapiwala; Brian J Davis
Journal:  Adv Radiat Oncol       Date:  2017-03-20
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