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Background <p>The apparent diffusion coefficient (ADC) derived from diffusion-weighted imaging (DWI) is a potential biomarker for treatment response in pediatric rhabdomyosarcoma. Due to its rarity, investigations into this marker require multicenter approaches, which can result in variability in acquisition parameters.</p> Objective <p>To evaluate the impact of different acquisition parameters on ADC estimates in a multicenter dataset of rhabdomyosarcoma patients.</p> Materials and methods <p>We included 114 pediatric and adolescent rhabdomyosarcoma patients from 22 treatment centers (195 scans). Median age: 6.0&#xa0;years (0.3–21.8). We evaluated the impact of voxel size, (number of) <i>b</i>-values, and echo time on tumor ADC values. The effect of the highest <i>b</i>-value was separately investigated on a subset of scans with five or more <i>b</i>-values.</p> Results <p>We observed a large variability in key acquisition parameters in the overall cohort, and for individual imaging centers. No parameter showed a significant effect on ADC estimates of the whole cohort when corrected for multiple-comparisons. Decreasing the highest <i>b</i>-value within the same acquisition caused ADC to decrease on average by 2.8% per 100 s mm<sup>-2</sup>. Differing <i>b</i>-values between scans at diagnosis and treatment response yielded significant changes in the longitudinal ADC for each patient (<i>P</i>&lt;0.05).</p> Conclusion <p>While we observed wide variation of acquisition parameters within a multicenter cohort, this did not lead to significant cross-sectional differences of tumor ADC. However, we found that modifying the highest <i>b</i>-value between baseline and follow-up can impact longitudinal ADC estimates. As such, we recommend the highest <i>b</i>-value to remain constant.</p> <p>This retrospective study was reviewed and approved by the Internal Review Board (UMC Utrecht, reference ID: 18-412).</p> Graphical Abstract <p></p>

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Acquisition matters - how do scan parameters affect apparent diffusion coefficient estimates in pediatric rhabdomyosarcoma

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  • 发表日期：

    2025年6月10日

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  • Cyrano Chatziantoniou,
  • Roelof van Ewijk,
  • Madeleine Adams,
  • Patrizia Bertolini,
  • Gianni Bisogno,
  • Amine Bouhamama,
  • Pablo Caro-Dominguez,
  • Valérie Charon,
  • Ana Coma,
  • Rana Dandis,
  • Christine Devalck,
  • Giulia De Donno,
  • Andrea Ferrari,
  • Marta Fiocco,
  • Soledad Gallego,
  • Chiara Giraudo,
  • Heidi Glosli,
  • Simone A. J. ter Horst,
  • Meriel Jenney,
  • Willemijn M. Klein,
  • Alexander Leemans,
  • Julie Leseur,
  • Henry C. Mandeville,
  • Kieran McHugh,
  • Johannes H. M. Merks,
  • Veronique Minard-Colin,
  • Salma Moalla,
  • Carlo Morosi,
  • Daniel Orbach,
  • Lil-Sofie Ording Müller,
  • Erika Pace,
  • Pier Luigi Di Paolo,
  • Katia Perruccio,
  • Lucia Quaglietta,
  • Marleen Renard,
  • Rick R. van Rijn,
  • Antonio Ruggiero,
  • Sara I. Sirvent,
  • Reineke A. Schoot,
  • Alberto De Luca

摘要

Background

The apparent diffusion coefficient (ADC) derived from diffusion-weighted imaging (DWI) is a potential biomarker for treatment response in pediatric rhabdomyosarcoma. Due to its rarity, investigations into this marker require multicenter approaches, which can result in variability in acquisition parameters.

Objective

To evaluate the impact of different acquisition parameters on ADC estimates in a multicenter dataset of rhabdomyosarcoma patients.

Materials and methods

We included 114 pediatric and adolescent rhabdomyosarcoma patients from 22 treatment centers (195 scans). Median age: 6.0 years (0.3–21.8). We evaluated the impact of voxel size, (number of) b-values, and echo time on tumor ADC values. The effect of the highest b-value was separately investigated on a subset of scans with five or more b-values.

Results

We observed a large variability in key acquisition parameters in the overall cohort, and for individual imaging centers. No parameter showed a significant effect on ADC estimates of the whole cohort when corrected for multiple-comparisons. Decreasing the highest b-value within the same acquisition caused ADC to decrease on average by 2.8% per 100 s mm-2. Differing b-values between scans at diagnosis and treatment response yielded significant changes in the longitudinal ADC for each patient (P<0.05).

Conclusion

While we observed wide variation of acquisition parameters within a multicenter cohort, this did not lead to significant cross-sectional differences of tumor ADC. However, we found that modifying the highest b-value between baseline and follow-up can impact longitudinal ADC estimates. As such, we recommend the highest b-value to remain constant.

This retrospective study was reviewed and approved by the Internal Review Board (UMC Utrecht, reference ID: 18-412).

Graphical Abstract