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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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Main Authors: Heidt, Christian (Author) , Bohn, Jonas (Author) , Stollmayer, Róbert (Author) , Stackelberg, Oyunbileg von (Author) , Rheinheimer, Stephan (Author) , Bozorgmehr, Farastuk (Author) , Senghas, Karsten (Author) , Schlamp, Kai (Author) , Weinheimer, Oliver (Author) , Giesel, Frederik L. (Author) , Kauczor, Hans-Ulrich (Author) , Heußel, Claus Peter (Author) , Heußel, Gudula (Author)
Format: Article (Journal)
Language:English
Published: 26 August 2024
In: Insights into imaging
Year: 2024, Volume: 15, Pages: 1-11
ISSN:1869-4101
DOI:10.1186/s13244-024-01787-5
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1186/s13244-024-01787-5
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Author Notes: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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Summary: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.
Item Description:Gesehen am 16.10.2024
Physical Description:Online Resource
ISSN:1869-4101
DOI:10.1186/s13244-024-01787-5

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