TY - JOUR
T1 - 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
AU - Cabini, Raffaella Fiamma
AU - Brero, Francesca
AU - Lancia, Andrea
AU - Stelitano, Chiara
AU - Oneta, Olga
AU - Ballante, Elena
AU - Puppo, Emanuela
AU - Mariani, Manuel
AU - Alì, Emanuele
AU - Bartolomeo, Valentina
AU - Montesano, Marianna
AU - Merizzoli, Elisa
AU - Aluia, Diana
AU - Agustoni, Francesco
AU - Stella, Giulia Maria
AU - Sun, Roger
AU - Bianchini, Linda
AU - Deutsch, Eric
AU - Figini, Silvia
AU - Bortolotto, Chandra
AU - Preda, Lorenzo
AU - Lascialfari, Alessandro
AU - Filippi, Andrea Riccardo
N1 - Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12/1
Y1 - 2022/12/1
N2 - 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.
AB - 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.
KW - ComBat
KW - Harmonization
KW - NSCLC
KW - Radiomic features
KW - Robustness
UR - http://www.scopus.com/inward/record.url?scp=85126196627&partnerID=8YFLogxK
U2 - 10.1186/s13244-022-01171-1
DO - 10.1186/s13244-022-01171-1
M3 - Article
AN - SCOPUS:85126196627
SN - 1869-4101
VL - 13
JO - Insights into Imaging
JF - Insights into Imaging
IS - 1
M1 - 38
ER -