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<p>This study aims to validate the Size Specific Dose Estimate (SSDE) provided by a modern Computed Tomography (CT) scanner and investigate its correlation with effective dose (E). SSDE is a size-specific dosimetric index addressing the limitations of the Computed Tomography Dose Index (CTDI<sub>vol</sub>). A set of 60 CT scans of anthropomorphic phantoms, including pediatric and obese models, were acquired and analyzed. SSDE values from the CT scanner were compared with those obtained through an independent Python-based calculation and Radimetrics, a dose monitor software. While the independent calculation and the one with Radimetrics were consistently in agreement, a systematic underestimation by the scanner up to 10% was seen, particularly in chest and abdominal exams. The underestimation, however, remained within the acceptable limits set by AAPM guidelines. Furthermore, a correlation between SSDE and effective dose was identified, suggesting SSDE’s potential for more accurate, size-specific radiation dose and risk assessments. These findings highlight the importance of SSDE in enhancing patient-specific dose management, though further validation using patient data is needed to confirm its clinical applicability.</p>

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Validation of SSDE calculation in a modern CT scanner and correlation with effective dose

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年2月19日

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  • Nicola Zancopè,
  • Francesca De Monte,
  • Erica Simeone,
  • Angelo Giannone,
  • Riccardo Lombardi,
  • Alessandro Mele,
  • Alessandra Zorz,
  • Alessandro Di Paola,
  • Francesco Causin,
  • Marta Paiusco

摘要

This study aims to validate the Size Specific Dose Estimate (SSDE) provided by a modern Computed Tomography (CT) scanner and investigate its correlation with effective dose (E). SSDE is a size-specific dosimetric index addressing the limitations of the Computed Tomography Dose Index (CTDIvol). A set of 60 CT scans of anthropomorphic phantoms, including pediatric and obese models, were acquired and analyzed. SSDE values from the CT scanner were compared with those obtained through an independent Python-based calculation and Radimetrics, a dose monitor software. While the independent calculation and the one with Radimetrics were consistently in agreement, a systematic underestimation by the scanner up to 10% was seen, particularly in chest and abdominal exams. The underestimation, however, remained within the acceptable limits set by AAPM guidelines. Furthermore, a correlation between SSDE and effective dose was identified, suggesting SSDE’s potential for more accurate, size-specific radiation dose and risk assessments. These findings highlight the importance of SSDE in enhancing patient-specific dose management, though further validation using patient data is needed to confirm its clinical applicability.