Delta-radiomics features of ADC maps as early predictors of treatment response in lung cancer
Objective: Investigate the feasibility of detecting early treatment-induced tumor tissue changes in patients with advanced lung adenocarcinoma using diffusion-weighted MRI-derived radiomics features. Methods: This prospective observational study included 144 patients receiving either tyrosine kinase...
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| Hauptverfasser: | , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
26 August 2024
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| In: |
Insights into imaging
Year: 2024, Jahrgang: 15, Pages: 1-11 |
| ISSN: | 1869-4101 |
| DOI: | 10.1186/s13244-024-01787-5 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1186/s13244-024-01787-5
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| Verfasserangaben: | Christian M. Heidt, Jonas R. Bohn, Róbert Stollmayer, Oyunbileg von Stackelberg, Stephan Rheinheimer, Farastuk Bozorgmehr, Karsten Senghas, Kai Schlamp, Oliver Weinheimer, Frederik L. Giesel, Hans-Ulrich Kauczor, Claus Peter Heußel and Gudula Heußel |
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| 245 | 1 | 0 | |a Delta-radiomics features of ADC maps as early predictors of treatment response in lung cancer |c Christian M. Heidt, Jonas R. Bohn, Róbert Stollmayer, Oyunbileg von Stackelberg, Stephan Rheinheimer, Farastuk Bozorgmehr, Karsten Senghas, Kai Schlamp, Oliver Weinheimer, Frederik L. Giesel, Hans-Ulrich Kauczor, Claus Peter Heußel and Gudula Heußel |
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| 520 | |a Objective: Investigate the feasibility of detecting early treatment-induced tumor tissue changes in patients with advanced lung adenocarcinoma using diffusion-weighted MRI-derived radiomics features. Methods: This prospective observational study included 144 patients receiving either tyrosine kinase inhibitors (TKI, n = 64) or platinum-based chemotherapy (PBC, n = 80) for the treatment of pulmonary adenocarcinoma. Patients underwent diffusion-weighted MRI the day prior to therapy (baseline, all patients), as well as either + 1 (PBC) or + 7 and + 14 (TKI) days after treatment initiation. One hundred ninety-seven radiomics features were extracted from manually delineated tumor volumes. Feature changes over time were analyzed for correlation with treatment response (TR) according to CT-derived RECIST after 2 months and progression-free survival (PFS). Results: Out of 14 selected delta-radiomics features, 6 showed significant correlations with PFS or TR. Most significant correlations were found after 14 days. Features quantifying ROI heterogeneity, such as short-run emphasis (p = 0.04(pfs)/0.005(tr)), gradient short-run emphasis (p = 0.06(pfs)/0.01(tr)), and zone percentage (p = 0.02(pfs)/0.01(tr)) increased in patients with overall better TR whereas patients with worse overall response showed an increase in features quantifying ROI homogeneity, such as normalized inverse difference (p = 0.01(pfs)/0.04(tr)). Clustering of these features allows stratification of patients into groups of longer and shorter survival. Conclusion: Two weeks after initiation of treatment, diffusion MRI of lung adenocarcinoma reveals quantifiable tissue-level insights that correlate well with future treatment (non-)response. Diffusion MRI-derived radiomics thus shows promise as an early, radiation-free decision-support to predict efficacy and potentially alter the treatment course early. Critical relevance statement: Delta-Radiomics texture features derived from diffusion-weighted MRI of lung adenocarcinoma, acquired as early as 2 weeks after initiation of treatment, are significantly correlated with RECIST TR and PFS as obtained through later morphological imaging. | ||
| 650 | 4 | |a Diffusion-weighted MRI | |
| 650 | 4 | |a Lung cancer | |
| 650 | 4 | |a Non-small cell lung cancer | |
| 650 | 4 | |a Radiomics | |
| 650 | 4 | |a Tyrosine kinase inhibitors | |
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