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Evaluation of repeatability and reproducibility of radiomic features produced by the fan-beam kV-CT on a novel ring gantry-based PET/CT linear accelerator.
Ketcherside, Trevor; Shi, Chengyu; Chen, Quan; Leung, David; Sundquist, Andrew; Huntzinger, Calvin; Court, Laurence E; Han, Chunhui; Watkins, Tyler; Ladbury, Colton; Williams, Terence M; Liu, An.
Affiliation
  • Ketcherside T; City of Hope National Medical Center, Duarte, California, USA.
  • Shi C; City of Hope National Medical Center, Duarte, California, USA.
  • Chen Q; City of Hope National Medical Center, Duarte, California, USA.
  • Leung D; Reflexion Medical Inc., Hayward, California, USA.
  • Sundquist A; Reflexion Medical Inc., Hayward, California, USA.
  • Huntzinger C; Reflexion Medical Inc., Hayward, California, USA.
  • Court LE; UT MD Anderson Cancer Center, Houston, California, USA.
  • Han C; City of Hope National Medical Center, Duarte, California, USA.
  • Watkins T; City of Hope National Medical Center, Duarte, California, USA.
  • Ladbury C; City of Hope National Medical Center, Duarte, California, USA.
  • Williams TM; City of Hope National Medical Center, Duarte, California, USA.
  • Liu A; City of Hope National Medical Center, Duarte, California, USA.
Med Phys ; 50(6): 3719-3725, 2023 Jun.
Article in En | MEDLINE | ID: mdl-36995245
BACKGROUND: The RefleXion X1 is a novel radiotherapy delivery system on a ring gantry equipped with fan-beam kV-CT and PET imaging subsystems. The day-to-day scanning variability of radiomics features must be evaluated before any attempt to utilize radiomics features. PURPOSE: This study aims to characterize the repeatability and reproducibility of radiomic features produced by the RefleXion X1 kV-CT. MATERIALS AND METHODS: The Credence Cartridge Radiomics (CCR) phantom includes six cartridges of varied materials. It was scanned 10 times on the RefleXion X1 kVCT imaging subsystem over a 3-month period using the two most frequently used scanning protocols (BMS and BMF). Fifty-five radiomic features were extracted for each ROI on each CT scan and analyzed using LifeX software. The coefficient of variation (COV) was computed to evaluate the repeatability. Intraclass correlation coefficient (ICC) and concordance correlation coefficient (CCC) were used to evaluate the repeatability and reproducibility of the scanned images using 0.9 as the threshold. This process is repeated on a GE PET-CT scanner using several built-in protocols as a comparison. RESULTS: On average, 87% of the features on both scan protocols on the RefleXion X1 kVCT imaging subsystem can be considered repeatable as they met COV < 10% criteria. On GE PET-CT, this number is similar at 86%. When we tighten the criteria to COV <5%, the RefleXion X1 kVCT imaging subsystem showed much better repeatability with 81% of features on average whereas GE PET-CT showed only 73.5% on average. About 91% and 89% of the features with ICC > 0.9 respectively for BMS and BMF protocols on RefleXion X1. On the other hand, the percentage of features with ICC > 0.9 on GE PET-CT ranges from 67% to 82%. The RefleXion X1 kVCT imaging subsystem showed excellent intra-scanner reproducibility between the scanning protocols much better than the GE PET CT scanner. For the inter-scanner reproducibility, the percentage of features with CCC > 0.9 ranged from 49% to 80%. between X1 and GE PET-CT scanning protocols. CONCLUSIONS: Clinically useful CT radiomic features produced by the RefleXion X1 kVCT imaging subsystem are reproducible and stable over time, demonstrating its utility as a quantitative imaging platform.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Positron Emission Tomography Computed Tomography Type of study: Guideline Language: En Journal: Med Phys Year: 2023 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Positron Emission Tomography Computed Tomography Type of study: Guideline Language: En Journal: Med Phys Year: 2023 Document type: Article Affiliation country: Country of publication: