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European Radiology

Erschienen in:

12.05.2022 | Chest

Incremental benefits of size-zone matrix-based radiomics features for the prognosis of lung adenocarcinoma: advantage of spatial partitioning on tumor evaluation

verfasst von: Eunjin Kim, Geewon Lee, Seung-hak Lee, Hwanho Cho, Ho Yun Lee, Hyunjin Park

Erschienen in: European Radiology | Ausgabe 11/2022

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Abstract

Objectives

Prognostic models of lung adenocarcinoma (ADC) can be built using radiomics features from various categories. The size-zone matrix (SZM) features have a strong biological basis related to tumor partitioning, but their incremental benefits have not been fully explored. In our study, we aimed to evaluate the incremental benefits of SZM features for the prognosis of lung ADC.

Methods

A total of 298 patients were included and their pretreatment computed tomography images were analyzed in fivefold cross-validation. We built a risk model of overall survival using SZM features and compared it with a conventional radiomics risk model and a clinical variable-based risk model. We also compared it with other models incorporating various combinations of SZM features, other radiomics features, and clinical variables. A total of seven risk models were compared and evaluated using the hazard ratio (HR) on the left-out test fold.

Results

As a baseline, the clinical variable risk model showed an HR of 2.739. Combining the radiomics signature with SZM feature was better (HR 4.034) than using radiomics signature alone (HR 3.439). Combining radiomics signature, SZM feature, and clinical variable (HR 6.524) fared better than just combining radiomics signature and clinical variables (HR 4.202). These results confirmed the added benefits of SZM features for prognosis in lung ADC.

Conclusion

Combining SZM feature with the radiomics signature was better than using the radiomics signature alone and the benefits of SZM features were maintained when clinical variables were added confirming the incremental benefits of SZM features for lung ADC prognosis.

Key Points

• Size-zone matrix (SZM) features provide incremental benefits for the prognosis of lung adenocarcinoma.

• Combining the radiomics signature with SZM features performed better than using a radiomics signature alone.

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Titel: Incremental benefits of size-zone matrix-based radiomics features for the prognosis of lung adenocarcinoma: advantage of spatial partitioning on tumor evaluation
verfasst von: Eunjin Kim
Geewon Lee
Seung-hak Lee
Hwanho Cho
Ho Yun Lee
Hyunjin Park
Publikationsdatum: 12.05.2022
Verlag: Springer Berlin Heidelberg
Erschienen in: European Radiology / Ausgabe 11/2022
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-022-08818-z

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Incremental benefits of size-zone matrix-based radiomics features for the prognosis of lung adenocarcinoma: advantage of spatial partitioning on tumor evaluation

Abstract

Objectives

Methods

Results

Conclusion

Key Points

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Objectives

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