External validation of 18 F-FDG PET-based radiomic models on identification of residual oesophageal cancer after neoadjuvant chemoradiotherapy.

Autor:	Valkema MJ; Department of Surgery, Erasmus MC Cancer Institute, Rotterdam., Beukinga RJ; Medical Imaging Centre, Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Centre Groningen, Groningen., Chatterjee A; Department of Precision Medicine, GROW- School for Oncology, Maastricht University., Woodruff HC; Department of Precision Medicine, GROW- School for Oncology, Maastricht University.; Department of Radiology and Nuclear Imaging, GROW - School for Oncology, Maastricht University Medical Centre, Maastricht., van Klaveren D; Department of Public Health, Erasmus University Medical Centre., Noordzij W; Medical Imaging Centre, Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Centre Groningen, Groningen., Valkema R; Department of Radiology and Nuclear Medicine, Erasmus MC Cancer Institute, Rotterdam., Bennink RJ; Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam., Roef MJ; Department of Nuclear Medicine, Catharina Hospital Eindhoven, Eindhoven., Schreurs W; Department of Nuclear Medicine, Zuyderland Medical Centre, Heerlen., Doukas M; Department of Pathology, Erasmus MC Cancer Institute, Rotterdam., Lagarde SM; Department of Surgery, Erasmus MC Cancer Institute, Rotterdam., Wijnhoven BPL; Department of Surgery, Erasmus MC Cancer Institute, Rotterdam., Lambin P; Department of Precision Medicine, GROW- School for Oncology, Maastricht University.; Department of Radiology and Nuclear Imaging, GROW - School for Oncology, Maastricht University Medical Centre, Maastricht., Plukker JTM; Department of Surgical Oncology, University Medical Centre Groningen, Groningen, The Netherlands., van Lanschot JJB; Department of Surgery, Erasmus MC Cancer Institute, Rotterdam.
Jazyk:	angličtina
Zdroj:	Nuclear medicine communications [Nucl Med Commun] 2023 Aug 01; Vol. 44 (8), pp. 709-718. Date of Electronic Publication: 2023 May 03.
DOI:	10.1097/MNM.0000000000001707
Abstrakt:	Objectives: Detection of residual oesophageal cancer after neoadjuvant chemoradiotherapy (nCRT) is important to guide treatment decisions regarding standard oesophagectomy or active surveillance. The aim was to validate previously developed 18 F-FDG PET-based radiomic models to detect residual local tumour and to repeat model development (i.e. 'model extension') in case of poor generalisability. Methods: This was a retrospective cohort study in patients collected from a prospective multicentre study in four Dutch institutes. Patients underwent nCRT followed by oesophagectomy between 2013 and 2019. Outcome was tumour regression grade (TRG) 1 (0% tumour) versus TRG 2-3-4 (≥1% tumour). Scans were acquired according to standardised protocols. Discrimination and calibration were assessed for the published models with optimism-corrected AUCs >0.77. For model extension, the development and external validation cohorts were combined. Results: Baseline characteristics of the 189 patients included [median age 66 years (interquartile range 60-71), 158/189 male (84%), 40/189 TRG 1 (21%) and 149/189 (79%) TRG 2-3-4] were comparable to the development cohort. The model including cT stage plus the feature 'sum entropy' had best discriminative performance in external validation (AUC 0.64, 95% confidence interval 0.55-0.73), with a calibration slope and intercept of 0.16 and 0.48 respectively. An extended bootstrapped LASSO model yielded an AUC of 0.65 for TRG 2-3-4 detection. Conclusion: The high predictive performance of the published radiomic models could not be replicated. The extended model had moderate discriminative ability. The investigated radiomic models appeared inaccurate to detect local residual oesophageal tumour and cannot be used as an adjunct tool for clinical decision-making in patients. (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc.)
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu