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Theses

Analyse des images de tomographie par émission de positons pour la prédiction de récidive du cancer du col de l'utérus

Abstract : This thesis deals with the issue of predicting the recurrence within the context of cervical cancer radiotherapy. The objective was to analyze positron emission tomography (PET) with 18F-fluorodeoxyglucose (18F-FDG) to extract quantitative parameters that could show statistical correlation with tumor recurrence. Six study were performed to address 18F-FDG PET imaging issues such as the presence of bladder uptake artifacts, tumor segmentation impact, as well as the analysis of tumor evolution along the treatment. Statistical analyses were performed among parameters reflecting intensity, shape and texture of the tumor metabolism before, and during treatment. Results show that the pre-treatment metabolic tumor volume and the per-treatment total lesion glycolysis are the most promising parameters for cervical cancer recurrence prediction. In addition, combinations of these parameters with shape descriptors and texture features, using machine-learning methods or regression models, are able to increase the prediction capability.
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https://tel.archives-ouvertes.fr/tel-01420492
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Submitted on : Tuesday, December 20, 2016 - 4:47:06 PM
Last modification on : Wednesday, September 14, 2022 - 10:20:04 AM
Long-term archiving on: : Tuesday, March 21, 2017 - 3:15:59 AM

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  • HAL Id : tel-01420492, version 1

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Geoffrey Roman Jimenez. Analyse des images de tomographie par émission de positons pour la prédiction de récidive du cancer du col de l'utérus. Traitement du signal et de l'image [eess.SP]. Université Rennes 1, 2016. Français. ⟨NNT : 2016REN1S037⟩. ⟨tel-01420492⟩

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