Insights into Imaging (Mar 2022)

Preliminary report on harmonization of features extraction process using the ComBat tool in the multi-center “Blue Sky Radiomics” study on stage III unresectable NSCLC

  • Raffaella Fiamma Cabini,
  • Francesca Brero,
  • Andrea Lancia,
  • Chiara Stelitano,
  • Olga Oneta,
  • Elena Ballante,
  • Emanuela Puppo,
  • Manuel Mariani,
  • Emanuele Alì,
  • Valentina Bartolomeo,
  • Marianna Montesano,
  • Elisa Merizzoli,
  • Diana Aluia,
  • Francesco Agustoni,
  • Giulia Maria Stella,
  • Roger Sun,
  • Linda Bianchini,
  • Eric Deutsch,
  • Silvia Figini,
  • Chandra Bortolotto,
  • Lorenzo Preda,
  • Alessandro Lascialfari,
  • Andrea Riccardo Filippi

DOI
https://doi.org/10.1186/s13244-022-01171-1
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 9

Abstract

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Abstract Background and purpose In the retrospective-prospective multi-center "Blue Sky Radiomics” study (NCT04364776), we plan to test a pre-defined radiomic signature in a series of stage III unresectable NSCLC patients undergoing chemoradiotherapy and maintenance immunotherapy. As a necessary preliminary step, we explore the influence of different image-acquisition parameters on radiomic features’ reproducibility and apply methods for harmonization. Material and methods We identified the primary lung tumor on two computed tomography (CT) series for each patient, acquired before and after chemoradiation with i.v. contrast medium and with different scanners. Tumor segmentation was performed by two oncological imaging specialists (thoracic radiologist and radio-oncologist) using the Oncentra Masterplan® software. We extracted 42 radiomic features from the specific ROIs (LIFEx). To assess the impact of different acquisition parameters on features extraction, we used the Combat tool with nonparametric adjustment and the longitudinal version (LongComBat). Results We defined 14 CT acquisition protocols for the harmonization process. Before harmonization, 76% of the features were significantly influenced by these protocols. After, all extracted features resulted in being independent of the acquisition parameters. In contrast, 5% of the LongComBat harmonized features still depended on acquisition protocols. Conclusions We reduced the impact of different CT acquisition protocols on radiomic features extraction in a group of patients enrolled in a radiomic study on stage III NSCLC. The harmonization process appears essential for the quality of radiomic data and for their reproducibility. ClinicalTrials.gov Identifier: NCT04364776, First Posted:April 28, 2020, Actual Study Start Date: April 15, 2020, https://clinicaltrials.gov/ct2/show/NCT04364776 .

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