Spatial imaging features derived from SUVmax location in resectable NSCLC are associated with tumor aggressiveness Article Swipe
Zewen Jiang
,
Clemens P. Spielvogel
,
David Haberl
,
Josef Yu
,
Maximilian Krisch
,
Szabolcs Szakáll
,
Péter Molnár
,
János Fillinger
,
Lilla Horváth
,
F Rényi-Vámos
,
Clemens Aigner
,
Balázs Döme
,
Christian Lang
,
Zsolt Megyesfalvi
,
Lukas Kenner
,
Marcus Hacker
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1007/s00259-025-07528-0
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1007/s00259-025-07528-0
Purpose Accurate non-invasive prediction of histopathologic invasiveness and recurrence risk remains a clinical challenge in resectable non-small cell lung cancer (NSCLC). We developed and validated the Edge Proximity Score (EPS), a novel [ 18 F]FDG PET/CT-based spatial imaging feature that quantifies the displacement of SUVmax relative to the tumor centroid and perimeter, to assess tumor aggressiveness and predict progression-free survival (PFS). Methods This retrospective study included 244 NSCLC patients with preoperative [ 18 F]FDG PET/CT. EPS was computed from normalized SUVmax-to-centroid and SUVmax-to-perimeter distances. A total of 115 PET radiomics features were extracted and standardized. Eight machine learning models (80:20 split) were trained to predict lymphovascular invasion (LVI), visceral pleural invasion (VPI), and spread through air spaces (STAS), with feature importance assessed using SHAP. Prognostic analysis was conducted using multivariable Cox regression. A survival prediction model incorporating EPS was externally validated in the TCIA cohort. RNA sequencing data from 76 TCIA patients were used for transcriptomic and immune profiling. Results EPS was significantly elevated in tumors with LVI, VPI, and STAS ( P < 0.001 ), consistently ranked among the top SHAP features, and was an independent predictor of PFS (HR = 2.667, P = 0.015). The EPS-based nomogram achieved AUCs of 0.67, 0.70, and 0.68 for predicting 1-, 3-, and 5-year PFS in the TCIA validation cohort. High EPS was associated with proliferative and metabolic gene signatures, whereas low EPS was linked to immune activation and neutrophil infiltration. Conclusion EPS is a biologically relevant, non-invasive imaging biomarker that may improve risk stratification in NSCLC.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s00259-025-07528-0
- https://link.springer.com/content/pdf/10.1007/s00259-025-07528-0.pdf
- OA Status
- hybrid
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4413367413
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4413367413Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1007/s00259-025-07528-0Digital Object Identifier
- Title
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Spatial imaging features derived from SUVmax location in resectable NSCLC are associated with tumor aggressivenessWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-08-21Full publication date if available
- Authors
-
Zewen Jiang, Clemens P. Spielvogel, David Haberl, Josef Yu, Maximilian Krisch, Szabolcs Szakáll, Péter Molnár, János Fillinger, Lilla Horváth, F Rényi-Vámos, Clemens Aigner, Balázs Döme, Christian Lang, Zsolt Megyesfalvi, Lukas Kenner, Marcus HackerList of authors in order
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https://doi.org/10.1007/s00259-025-07528-0Publisher landing page
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https://link.springer.com/content/pdf/10.1007/s00259-025-07528-0.pdfDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://link.springer.com/content/pdf/10.1007/s00259-025-07528-0.pdfDirect OA link when available
- Concepts
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Medicine, Lymphovascular invasion, Proportional hazards model, Lung cancer, Nomogram, Imaging biomarker, Internal medicine, Retrospective cohort study, Oncology, Radiology, Nuclear medicine, Cancer, Magnetic resonance imaging, MetastasisTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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41Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| referenced_works_count | 41 |
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