Literature DB >> 29617205

A Novel Method to Extend a Partial-Body CT for the Reconstruction of Dose to Organs beyond the Scan Range.

Gleb A Kuzmin1,2, Matthew M Mille1, Jae Won Jung3, Choonik Lee4, Christopher Pelletier3, Gamal Akabani2, Choonsik Lee1.   

Abstract

Epidemiological investigation is an important approach to assessing the risk of late effects after radiotherapy, and organ dosimetry is a crucial part of such analysis. Computed tomography (CT) images, if available, can be a valuable resource for individualizing the dosimetry, because they describe the specific anatomy of the patient. However, CT images acquired for radiation treatment planning purposes cover only a portion of the body near the target volume, whereas for epidemiology, the interest lies in the more distant normal tissues, which may be located outside the scan range. To address this challenge, we developed a novel method, called the Anatomically Predictive Extension (APE), to extend a partial-body CT image stack using images of a computational human phantom matched to the patient based on their height and weight. To test our method, we created five APE phantoms from chest and abdominal images extracted from the chest-abdomen-pelvis (CAP) CT scans of five patients. Organ doses were calculated for simple chest and prostate irradiations that were planned on the reference computational phantom (assumed patient geometry if no CT images are available), APE phantoms (patient-phantom hybrid given a partial-body patient CT) and full patient CAP CT scans (ground truth). The APE phantoms and patient CAP CT scans resulted in nearly identical dosimetry for those organs that were fully included in the partial-body CT used to construct the APE. The calculated doses to these same organs in the reference phantoms differed by up to 20% and 52% for the chest and prostate cases, respectively. For organs outside the scan coverage, the reference phantom showed, on average, dose differences of 31% (chest case) and 41% (prostate case). For the APE phantoms, these values were 26% (chest) and 17% (prostate). The APE method combines patient and phantom images to improve organ dosimetry both inside and outside the scan range. We intend to use the APE method for estimating dose for organs peripheral to the treatment fields; however, this method is quite generalizable with many potential applications.

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Year:  2018        PMID: 29617205      PMCID: PMC6384816          DOI: 10.1667/RR14999.1

Source DB:  PubMed          Journal:  Radiat Res        ISSN: 0033-7587            Impact factor:   2.841


  14 in total

1.  Fast Monte Carlo dose calculation for photon beams based on the VMC electron algorithm.

Authors:  M Fippel
Journal:  Med Phys       Date:  1999-08       Impact factor: 4.071

2.  Dose reconstruction for therapeutic and diagnostic radiation exposures: use in epidemiological studies.

Authors:  Marilyn Stovall; Rita Weathers; Catherine Kasper; Susan A Smith; Lois Travis; Elaine Ron; Ruth Kleinerman
Journal:  Radiat Res       Date:  2006-07       Impact factor: 2.841

3.  The UF/NCI family of hybrid computational phantoms representing the current US population of male and female children, adolescents, and adults--application to CT dosimetry.

Authors:  Amy M Geyer; Shannon O'Reilly; Choonsik Lee; Daniel J Long; Wesley E Bolch
Journal:  Phys Med Biol       Date:  2014-08-21       Impact factor: 3.609

Review 4.  An exponential growth of computational phantom research in radiation protection, imaging, and radiotherapy: a review of the fifty-year history.

Authors:  X George Xu
Journal:  Phys Med Biol       Date:  2014-08-21       Impact factor: 3.609

5.  Reconstruction of organ dose for external radiotherapy patients in retrospective epidemiologic studies.

Authors:  Choonik Lee; Jae Won Jung; Christopher Pelletier; Anil Pyakuryal; Stephanie Lamart; Jong Oh Kim; Choonsik Lee
Journal:  Phys Med Biol       Date:  2015-02-26       Impact factor: 3.609

6.  Analytical model for out-of-field dose in photon craniospinal irradiation.

Authors:  Phillip J Taddei; Wassim Jalbout; Rebecca M Howell; Nabil Khater; Fady Geara; Kenneth Homann; Wayne D Newhauser
Journal:  Phys Med Biol       Date:  2013-10-08       Impact factor: 3.609

7.  The UF family of reference hybrid phantoms for computational radiation dosimetry.

Authors:  Choonsik Lee; Daniel Lodwick; Jorge Hurtado; Deanna Pafundi; Jonathan L Williams; Wesley E Bolch
Journal:  Phys Med Biol       Date:  2009-12-17       Impact factor: 3.609

8.  A feasibility study to calculate unshielded fetal doses to pregnant patients in 6-MV photon treatments using Monte Carlo methods and anatomically realistic phantoms.

Authors:  Bryan Bednarz; X George Xu
Journal:  Med Phys       Date:  2008-07       Impact factor: 4.071

9.  Frequency distribution of second solid cancer locations in relation to the irradiated volume among 115 patients treated for childhood cancer.

Authors:  Ibrahima Diallo; Nadia Haddy; Elisabeth Adjadj; Akhtar Samand; Eric Quiniou; Jean Chavaudra; Iannis Alziar; Nathalie Perret; Sylvie Guérin; Dimitri Lefkopoulos; Florent de Vathaire
Journal:  Int J Radiat Oncol Biol Phys       Date:  2009-04-20       Impact factor: 7.038

Review 10.  Second solid cancers after radiation therapy: a systematic review of the epidemiologic studies of the radiation dose-response relationship.

Authors:  Amy Berrington de Gonzalez; Ethel Gilbert; Rochelle Curtis; Peter Inskip; Ruth Kleinerman; Lindsay Morton; Preetha Rajaraman; Mark P Little
Journal:  Int J Radiat Oncol Biol Phys       Date:  2012-10-24       Impact factor: 7.038

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  3 in total

1.  Conversion of computational human phantoms into DICOM-RT for normal tissue dose assessment in radiotherapy patients.

Authors:  Keith T Griffin; Matthew M Mille; Christopher Pelletier; Mahesh Gopalakrishnan; Jae Won Jung; Choonik Lee; John Kalapurakal; Anil Pyakuryal; Choonsik Lee
Journal:  Phys Med Biol       Date:  2019-07-05       Impact factor: 3.609

2.  Automatic Mapping of CT Scan Locations on Computational Human Phantoms for Organ Dose Estimation.

Authors:  Choonsik Lee; Gleb A Kuzmin; Jinyong Bae; Jianhua Yao; Elizabeth Mosher; Les R Folio
Journal:  J Digit Imaging       Date:  2019-02       Impact factor: 4.056

3.  Body region-specific 3D age-scaling functions for scaling whole-body computed tomography anatomy for pediatric late effects studies.

Authors:  Aashish C Gupta; Constance A Owens; Suman Shrestha; Choonsik Lee; Susan A Smith; Rita E Weathers; Tucker Netherton; Peter A Balter; Stephen F Kry; David S Followill; Keith T Griffin; James P Long; Gregory T Armstrong; Rebecca M Howell
Journal:  Biomed Phys Eng Express       Date:  2022-02-01
  3 in total

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