Literature DB >> 29296396

The effect of longitudinal CT resolution and pixel size (FOV) on target delineation and treatment planning in stereotactic radiosurgery.

Maria R Bellon1, M Salim Siddiqui1, Samuel Ryu1, Indrin J Chetty1.   

Abstract

The acquisition of high-quality, anatomic images is essential for the accurate delineation of tumor volumes and critical structures used for stereotactic radiosurgery (SRS) treatment planning. This study investigates the effect of CT slice thickness and field of view (FOV), i.e., longitudinal and axial CT resolution, on volume delineation and treatment planning in SRS and suggests optimal CT acquisition parameters for brain SRS simulation. Optimization of such parameters will maximize clinical efficacy, alter data storage requirements, reduce dosimetric uncertainties, and may ultimately facilitate more favorable clinical outcomes. Changes in the extent, shape and the absolute volume of the GTV were recorded when the longitudinal and axial CT resolution were modified. These changes ultimately impacted the PTV dose coverage. Reducing CT slice thickness from 2mm to 1mm resulted in an average decrease of 8.6%±13.9% (max=52.2%) and 3.0 %±4.3% (max=13.1%) in PTV Dmin and PTV D95, respectively. Increasing CT slice thickness from 2mm to 3mm resulted in an average decrease of 10%±9.9% (max=26.8%) and 5.8%±5.8% (max=17.4%) in PTV Dmin and PTV D95, respectively. Similarly, on average, PTV coverage decreased when FOV decreased. The average decrease in PTV Dmin and PTV D95 for a 350cm FOV was 5.2%±7.2% (max=21.4%) and 1.9%±3.2% (max=7.5%), respectively. Decreasing FOV to 250cm yielded similar results with the average decrease of 5.6%±5.0% (max=13.2%) and 1.6%±2.6% (max=6.3%) in PTV Dmin and PTV D95, respectively. These results suggest that the slice thickness and FOV of CT images affect target delineation and may potentially compromise the quality of the target coverage.

Entities:  

Keywords:  CT resolution; pixel size; simulation; slice thickness; stereotactic radiotherapy; treatment planning

Year:  2014        PMID: 29296396      PMCID: PMC5675487     

Source DB:  PubMed          Journal:  J Radiosurg SBRT


  5 in total

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Journal:  Med Phys       Date:  1999-02       Impact factor: 4.071

2.  Impact of different CT slice thickness on clinical target volume for 3D conformal radiation therapy.

Authors:  Ramachandran Prabhakar; Tharmar Ganesh; Goura K Rath; Pramod K Julka; Pappiah S Sridhar; Rakesh C Joshi; Sanjay Thulkar
Journal:  Med Dosim       Date:  2008-04-01       Impact factor: 1.482

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Journal:  Radiother Oncol       Date:  2001-07       Impact factor: 6.280

4.  Statistical validation of image segmentation quality based on a spatial overlap index.

Authors:  Kelly H Zou; Simon K Warfield; Aditya Bharatha; Clare M C Tempany; Michael R Kaus; Steven J Haker; William M Wells; Ferenc A Jolesz; Ron Kikinis
Journal:  Acad Radiol       Date:  2004-02       Impact factor: 3.173

5.  CT slice index and thickness: impact on organ contouring in radiation treatment planning for prostate cancer.

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Journal:  J Appl Clin Med Phys       Date:  2003       Impact factor: 2.102

  5 in total
  2 in total

1.  Impact of slice thickness, pixel size, and CT dose on the performance of automatic contouring algorithms.

Authors:  Kai Huang; Dong Joo Rhee; Rachel Ger; Rick Layman; Jinzhong Yang; Carlos E Cardenas; Laurence E Court
Journal:  J Appl Clin Med Phys       Date:  2021-03-29       Impact factor: 2.102

2.  Impact of inter-reader contouring variability on textural radiomics of colorectal liver metastases.

Authors:  Francesco Rizzetto; Francesca Calderoni; Cristina De Mattia; Arianna Defeudis; Valentina Giannini; Simone Mazzetti; Lorenzo Vassallo; Silvia Ghezzi; Andrea Sartore-Bianchi; Silvia Marsoni; Salvatore Siena; Daniele Regge; Alberto Torresin; Angelo Vanzulli
Journal:  Eur Radiol Exp       Date:  2020-11-10
  2 in total

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