Quantifying intratumor heterogeneity of lung neoplasms with radiomics
•Quantitative imaging has improved substantially with the inclusion of the state-of-the-art radiomic analytics methods•Visual assessment of intratumor heterogeneity using CT quantification could aid assess tumor aggressiveness•Fractal dimension can identify lesion subregions correlated to histology...
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Veröffentlicht in: | Clinical imaging 2021-06, Vol.74, p.27-30 |
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Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | •Quantitative imaging has improved substantially with the inclusion of the state-of-the-art radiomic analytics methods•Visual assessment of intratumor heterogeneity using CT quantification could aid assess tumor aggressiveness•Fractal dimension can identify lesion subregions correlated to histology or genetic patterns at the CT macroscopic level•Radiomics could assess disease progression and treatment resistance for an improved prediction of patient outcomes |
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ISSN: | 0899-7071 1873-4499 |
DOI: | 10.1016/j.clinimag.2020.12.017 |