Radiomics in the evaluation of lung nodules: Intrapatient concordance between full-dose and ultra-low-dose chest computed tomography - 31/03/21
, Aïssam Labani a, Pierre De Marini b, Pierre Leyendecker a, Cédric Hintzpeter a, Anne-Claire Ortlieb c, Michael Calhoun d, Ilya Goldberg d, Catherine Roy a, Mickael Ohana a, e
Bienvenido a EM-consulte, la referencia de los profesionales de la salud.
Artículo gratuito.
Conéctese para beneficiarse!
Highlights |
• | A good agreement in malignancy similarity index can be obtained between ultra-low dose and full dose chest CT using radiomics software. |
• | The impact of data acquisition with ultra-low dose is limited for lung nodule risk assessment by comparison with full dose CT acquisition. |
• | Further studies must be done to elucidate the diagnostic capabilities of radiomics software using ultra-low dose chest CT for lung nodule characterization by comparison by full dose chest CT. |
Abstract |
Purpose |
The purpose of this study was to retrospectively evaluate the quantitative and qualitative intrapatient concordance of pulmonary nodule risk assessment by commercially available radiomics software between full-dose (FD) chest-CT and ultra-low-dose (ULD) chest CT.
Materials and methods |
Between July 2013 and September 2015, 68 patients (52 men and16 women; mean age, 65.5±10.6 [SD] years; range: 35–87 years) with lung nodules≥5mm and<30mm who underwent the same day FD chest CT (helical acquisition; 120kV; automated tube current modulation) and ULD chest CT (helical acquisition; 135kV; 10mA fixed) were retrospectively included. Each nodule on each acquisition was assessed by a commercial radiomics software providing a similarity malignancy index (mSI), classifying it as “benign-like” (mSI<0.1); “malignant-like” (mSI>0.9) or “undetermined” (0.1≤mSI≤0.9). Intrapatient qualitative agreement was evaluated with weighted Cohen–Kappa test and quantitative agreement with intraclass correlation coefficient (ICC).
Results |
Ninety-nine lung nodules with a mean size of 9.14±4.3 (SD) mm (range: 5–25mm) in 68 patients (mean 1.46 nodule per patient; range: 1–5) were assessed; mean mSI was 0.429±0.331 (SD) (range: 0.001–1) with FD chest CT (22/99 [22%] “benign-like”, 67/99 [68%] “undetermined” and 10/99 [10%] “malignant-like”) and mean mSI was 0.487±0.344 (SD) (range: 0.002–1) with ULD chest CT (20/99 [20%] “benign-like”, 59/99 [60%] “undetermined” and 20/99 [20%] “malignant-like”). Qualitative and quantitative agreement of FD chest CT with ULD chest CT were “good” with Kappa value of 0.60 (95% CI: 0.46–0.74) and ICC of 0.82 (95% CI: 0.73–0.87), respectively.
Conclusion |
A good agreement in malignancy similarity index can be obtained between ULD chest CT and FD chest CT using radiomics software. However, further studies must be done with more case material to confirm our results and elucidate the diagnostic capabilities of radiomics software using ULD chest CT for lung nodule characterization by comparison with FD chest CT.
El texto completo de este artículo está disponible en PDF.Keywords : Radiomics, Pulmonary nodules, Nodule risk assessment, Ultra-low dose chest CT, Tomography, X-ray computed
Abbreviations : CI, CT, DLP, FD, HU, ICC, IQR, mSI, NLST, SD, ULD
Esquema
Vol 102 - N° 4
P. 233-239 - avril 2021 Regresar al número
Artículo precedente
- Automated brain MRI metrics in the EPIRMEX cohort of preterm newborns: Correlation with the neurodevelopmental outcome at 2 years
- Baptiste Morel, Pierre Bertault, Géraldine Favrais, Elsa Tavernier, Barthelemy Tosello, Nathalie Bednarek, Laurent Barantin, Alexandra Chadie, Maia Proisy, Yongchao Xu, Isabelle Bloch, Dominique Sirinelli, Catherine Adamsbaum, Clovis Tauber, Elie Saliba, EPIRMEX study group
- Ultrasonographic anatomy of the long thoracic nerve: A reappraisal using high frequency (24-MHz) probe
- M. Faruch Bilfeld, F. Lapègue, P. Cintas, B. Acket, H. Basselerie, R. Bachour, F. Nougarolis, C. Ricard, H. Chiavassa Gandois, P. Laumonerie, C. Aprodoaei, N. Sans