View in EDS

Helical Tomotherapy-Based STAT Stereotactic Body Radiation Therapy: Dosimetric Evaluation for a Real-Time SBRT Treatment Planning and Delivery Program

Saved in:
Bibliographic Details
Title: Helical Tomotherapy-Based STAT Stereotactic Body Radiation Therapy: Dosimetric Evaluation for a Real-Time SBRT Treatment Planning and Delivery Program
Authors: Dunlap, Neal1, McIntosh, Alyson1, Sheng, Ke1, Yang, Wensha1, Turner, Benton1, Shoushtari, Asal1, Sheehan, Jason2, Jones, David R.3, Lu, Weigo4, Ruchala, Keneth4, Olivera, Gustavo4, Parnell, Donald4, Larner, James L.1, Benedict, Stanley H.1, Read, Paul W.1 pwr3u@virginia.edu
Source: Medical Dosimetry. Winter2010, Vol. 35 Issue 4, p312-319. 8p.
Subjects: Tomography, Radiation dosimetry, Radiosurgery, Stereotaxic techniques, Imaging phantoms, Algorithms, Simulation methods & models
Abstract: Abstract: Stereotactic body radiation therapy (SBRT) treatments have high-dose gradients and even slight patient misalignment from the simulation to treatment could lead to target underdosing or organ at risk (OAR) overdosing. Daily real-time SBRT treatment planning could minimize the risk of geographic miss. As an initial step toward determining the clinical feasibility of developing real-time SBRT treatment planning, we determined the calculation time of helical TomoTherapy–based STAT radiation therapy (RT) treatment plans for simple liver, lung, and spine SBRT treatments to assess whether the planning process was fast enough for practical clinical implementation. Representative SBRT planning target volumes for hypothetical liver, peripheral lung, and thoracic spine lesions and adjacent OARs were contoured onto a planning computed tomography scan (CT) of an anthropomorphic phantom. Treatment plans were generated using both STAT RT “full scatter” and conventional helical TomoTherapy “beamlet” algorithms. Optimized plans were compared with respect to conformality index (CI), heterogeneity index (HI), and maximum dose to regional OARs to determine clinical equivalence and the number of required STAT RT optimization iterations and calculation times were determined. The liver and lung dosimetry for the STAT RT and standard planning algorithms were clinically and statistically equivalent. For the liver lesions, “full scatter” and “beamlet” algorithms showed a CI of 1.04 and 1.04 and HI of 1.03 and 1.03, respectively. For the lung lesions, “full scatter” and “beamlet” algorithms showed a CI of 1.05 and 1.03 and HI of 1.05and 1.05, respectively. For spine lesions, “full scatter” and “beamlet” algorithms showed a CI of 1.15 and 1.14 and HI of 1.22 and 1.14, respectively. There was no difference between treatment algorithms with respect to maximum doses to the OARs. The STAT RT iteration time with current treatment planning systems is 45 sec, and the treatment planning required 3 iterations or 135 sec for STAT RT liver and lung SBRT plans and 7 iterations or 315 sec for STAT RT spine SBRT plans. Helical TomoTherapy–based STAT RT treatment planning with the “full scatter” algorithm provides levels of dosimetric conformality, heterogeneity, and OAR avoidance for SBRT treatments that are clinically equivalent to those generated with the Helical TomoTherapy “beamlet” algorithm. STAT RT calculation times for simple SBRT treatments are fast enough to warrant further investigation into their potential incorporation into an SBRT program with daily real-time planning. Development of methods for accurate target and OAR determination on megavoltage computed tomography scans incorporating high-resolution diagnostic image co-registration software and CT detector–based exit dose measurement for quality assurance are necessary to build a real-time SBRT planning and delivery program. [Copyright &y& Elsevier]
Copyright of Medical Dosimetry is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 55090791
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Helical Tomotherapy-Based STAT Stereotactic Body Radiation Therapy: Dosimetric Evaluation for a Real-Time SBRT Treatment Planning and Delivery Program
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Dunlap%2C+Neal%22">Dunlap, Neal</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22McIntosh%2C+Alyson%22">McIntosh, Alyson</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Sheng%2C+Ke%22">Sheng, Ke</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Yang%2C+Wensha%22">Yang, Wensha</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Turner%2C+Benton%22">Turner, Benton</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Shoushtari%2C+Asal%22">Shoushtari, Asal</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Sheehan%2C+Jason%22">Sheehan, Jason</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Jones%2C+David+R%2E%22">Jones, David R.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Lu%2C+Weigo%22">Lu, Weigo</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Ruchala%2C+Keneth%22">Ruchala, Keneth</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Olivera%2C+Gustavo%22">Olivera, Gustavo</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Parnell%2C+Donald%22">Parnell, Donald</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Larner%2C+James+L%2E%22">Larner, James L.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Benedict%2C+Stanley+H%2E%22">Benedict, Stanley H.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Read%2C+Paul+W%2E%22">Read, Paul W.</searchLink><relatesTo>1</relatesTo><i> pwr3u@virginia.edu</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Medical+Dosimetry%22">Medical Dosimetry</searchLink>. Winter2010, Vol. 35 Issue 4, p312-319. 8p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Tomography%22">Tomography</searchLink><br /><searchLink fieldCode="DE" term="%22Radiation+dosimetry%22">Radiation dosimetry</searchLink><br /><searchLink fieldCode="DE" term="%22Radiosurgery%22">Radiosurgery</searchLink><br /><searchLink fieldCode="DE" term="%22Stereotaxic+techniques%22">Stereotaxic techniques</searchLink><br /><searchLink fieldCode="DE" term="%22Imaging+phantoms%22">Imaging phantoms</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Abstract: Stereotactic body radiation therapy (SBRT) treatments have high-dose gradients and even slight patient misalignment from the simulation to treatment could lead to target underdosing or organ at risk (OAR) overdosing. Daily real-time SBRT treatment planning could minimize the risk of geographic miss. As an initial step toward determining the clinical feasibility of developing real-time SBRT treatment planning, we determined the calculation time of helical TomoTherapy–based STAT radiation therapy (RT) treatment plans for simple liver, lung, and spine SBRT treatments to assess whether the planning process was fast enough for practical clinical implementation. Representative SBRT planning target volumes for hypothetical liver, peripheral lung, and thoracic spine lesions and adjacent OARs were contoured onto a planning computed tomography scan (CT) of an anthropomorphic phantom. Treatment plans were generated using both STAT RT “full scatter” and conventional helical TomoTherapy “beamlet” algorithms. Optimized plans were compared with respect to conformality index (CI), heterogeneity index (HI), and maximum dose to regional OARs to determine clinical equivalence and the number of required STAT RT optimization iterations and calculation times were determined. The liver and lung dosimetry for the STAT RT and standard planning algorithms were clinically and statistically equivalent. For the liver lesions, “full scatter” and “beamlet” algorithms showed a CI of 1.04 and 1.04 and HI of 1.03 and 1.03, respectively. For the lung lesions, “full scatter” and “beamlet” algorithms showed a CI of 1.05 and 1.03 and HI of 1.05and 1.05, respectively. For spine lesions, “full scatter” and “beamlet” algorithms showed a CI of 1.15 and 1.14 and HI of 1.22 and 1.14, respectively. There was no difference between treatment algorithms with respect to maximum doses to the OARs. The STAT RT iteration time with current treatment planning systems is 45 sec, and the treatment planning required 3 iterations or 135 sec for STAT RT liver and lung SBRT plans and 7 iterations or 315 sec for STAT RT spine SBRT plans. Helical TomoTherapy–based STAT RT treatment planning with the “full scatter” algorithm provides levels of dosimetric conformality, heterogeneity, and OAR avoidance for SBRT treatments that are clinically equivalent to those generated with the Helical TomoTherapy “beamlet” algorithm. STAT RT calculation times for simple SBRT treatments are fast enough to warrant further investigation into their potential incorporation into an SBRT program with daily real-time planning. Development of methods for accurate target and OAR determination on megavoltage computed tomography scans incorporating high-resolution diagnostic image co-registration software and CT detector–based exit dose measurement for quality assurance are necessary to build a real-time SBRT planning and delivery program. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Medical Dosimetry is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=55090791
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.meddos.2010.08.002
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 8
        StartPage: 312
    Subjects:
      – SubjectFull: Tomography
        Type: general
      – SubjectFull: Radiation dosimetry
        Type: general
      – SubjectFull: Radiosurgery
        Type: general
      – SubjectFull: Stereotaxic techniques
        Type: general
      – SubjectFull: Imaging phantoms
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Simulation methods & models
        Type: general
    Titles:
      – TitleFull: Helical Tomotherapy-Based STAT Stereotactic Body Radiation Therapy: Dosimetric Evaluation for a Real-Time SBRT Treatment Planning and Delivery Program
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Dunlap, Neal
      – PersonEntity:
          Name:
            NameFull: McIntosh, Alyson
      – PersonEntity:
          Name:
            NameFull: Sheng, Ke
      – PersonEntity:
          Name:
            NameFull: Yang, Wensha
      – PersonEntity:
          Name:
            NameFull: Turner, Benton
      – PersonEntity:
          Name:
            NameFull: Shoushtari, Asal
      – PersonEntity:
          Name:
            NameFull: Sheehan, Jason
      – PersonEntity:
          Name:
            NameFull: Jones, David R.
      – PersonEntity:
          Name:
            NameFull: Lu, Weigo
      – PersonEntity:
          Name:
            NameFull: Ruchala, Keneth
      – PersonEntity:
          Name:
            NameFull: Olivera, Gustavo
      – PersonEntity:
          Name:
            NameFull: Parnell, Donald
      – PersonEntity:
          Name:
            NameFull: Larner, James L.
      – PersonEntity:
          Name:
            NameFull: Benedict, Stanley H.
      – PersonEntity:
          Name:
            NameFull: Read, Paul W.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Winter2010
              Type: published
              Y: 2010
          Identifiers:
            – Type: issn-print
              Value: 09583947
          Numbering:
            – Type: volume
              Value: 35
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Medical Dosimetry
              Type: main
ResultId 1