Correlation of CT-based radiomics analysis with pathological cellular infiltration in fibrosing interstitial lung diseases.
Jpn J Radiol
; 2024 Jun 18.
Article
in En
| MEDLINE
| ID: mdl-38888852
ABSTRACT
PURPOSE:
We aimed to identify computed tomography (CT) radiomics features that are associated with cellular infiltration and construct CT radiomics models predictive of cellular infiltration in patients with fibrotic ILD. MATERIALS ANDMETHODS:
CT images of patients with ILD who underwent surgical lung biopsy (SLB) were analyzed. Radiomics features were extracted using artificial intelligence-based software and PyRadiomics. We constructed a model predicting cell counts in histological specimens, and another model predicting two classifications of higher or lower cellularity. We tested these models using external validation.RESULTS:
Overall, 100 patients (mean age 62 ± 8.9 [standard deviation] years; 61 men) were included. The CT radiomics model used to predict cell count in 140 histological specimens predicted the actual cell count in 59 external validation specimens (root-mean-square error 0.797). The two-classification model's accuracy was 70% and the F1 score was 0.73 in the external validation dataset including 30 patients.CONCLUSION:
The CT radiomics-based model developed in this study provided useful information regarding the cellular infiltration in the ILD with good correlation with SLB specimens.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Language:
En
Journal:
Jpn J Radiol
Journal subject:
DIAGNOSTICO POR IMAGEM
/
RADIOLOGIA
/
RADIOTERAPIA
Year:
2024
Type:
Article
Affiliation country:
Japan