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Radiomics-Based Texture Analysis of 68Ga-DOTATATE Positron Emission Tomography and Computed Tomography Images as a Prognostic Biomarker in Adults With Neuroendocrine Cancers Treated With 177Lu-DOTATATE.
Atkinson, Charlotte; Ganeshan, Balaji; Endozo, Raymond; Wan, Simon; Aldridge, Matthew D; Groves, Ashley M; Bomanji, Jamshed B; Gaze, Mark N.
Afiliação
  • Atkinson C; Departments of Oncology and Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, United Kingdom.
  • Ganeshan B; Institute of Nuclear Medicine, University College London, London, United Kingdom.
  • Endozo R; Institute of Nuclear Medicine, University College London, London, United Kingdom.
  • Wan S; Departments of Oncology and Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, United Kingdom.
  • Aldridge MD; Departments of Oncology and Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, United Kingdom.
  • Groves AM; Institute of Nuclear Medicine, University College London, London, United Kingdom.
  • Bomanji JB; Departments of Oncology and Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, United Kingdom.
  • Gaze MN; Departments of Oncology and Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, United Kingdom.
Front Oncol ; 11: 686235, 2021.
Article em En | MEDLINE | ID: mdl-34408979
PURPOSE: Neuroendocrine tumors (NET) are rare cancers with variable behavior. A better understanding of prognosis would aid individualized management. The aim of this hypothesis-generating pilot study was to investigate the prognostic potential of tumor heterogeneity and tracer avidity in NET using texture analysis (TA) of 68Ga-DOTATATE positron emission tomography (PET) and non-enhanced computed tomography (CT) performed at baseline in patients treated with 177Lu-DOTATATE. It aims to justify a larger-scale study to evaluate its clinical value. METHODS: The pretherapy 68Ga-DOTATATE PET-CT scans of 44 patients with metastatic NET (carcinoid, pancreatic, thyroid, head and neck, catecholamine-secreting, and unknown primary NET) treated with 177Lu-DOTATATE were analyzed retrospectively using commercially available texture analysis research software. Image filtration extracted and enhanced objects of different sizes (fine, medium, coarse), then quantified heterogeneity by statistical and histogram-based parameters (mean intensity, standard deviation, entropy, mean of positive pixels, skewness, and kurtosis). Regions of interest were manually drawn around up to five of the most 68Ga-DOTATATE avid lesions for each patient. 68Gallium uptake on PET was quantified as SUVmax and SUVmean. Associations between imaging and clinical markers with progression-free (PFS) and overall survival (OS) were assessed using univariate Kaplan-Meier analysis. Independence of the significant univariate markers of survival was tested using multivariate Cox regression analysis. RESULTS: Measures of heterogeneity (higher kurtosis, higher entropy, and lower skewness) on coarse-texture scale CT and unfiltered PET images predicted shorter PFS (CT coarse kurtosis: p=0.05, PET entropy: p=0.01, PET skewness: p=0.03) and shorter OS (CT coarse kurtosis: p=0.05, PET entropy: p=0.01, PET skewness p=0.02). Conventional PET parameters such as SUVmax and SUVmean showed trends towards predicting outcome but were not statistically significant. Multivariate analysis identified that CT-TA (coarse kurtosis: HR=2.57, 95% CI=1.22-5.38, p=0.013) independently predicted PFS, and PET-TA (unfiltered skewness: HR=9.05, 95% CI=1.19-68.91, p=0.033) independently predicted OS. CONCLUSION: These preliminary data generate a hypothesis that radiomic analysis of neuroendocrine cancer on 68Ga-DOTATATE PET-CT may be of prognostic value and a valuable addition to the assessment of patients.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article