Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier
The outcome prediction of patients can greatly help to personalize cancer treatment. A large
amount of quantitative features (clinical exams, imaging, …) are potentially useful to assess …
amount of quantitative features (clinical exams, imaging, …) are potentially useful to assess …
Development of a generic thresholding algorithm for the delineation of 18FDG-PET-positive tissue: application to the comparison of three thresholding models
S Vauclin, K Doyeux, S Hapdey… - Physics in Medicine …, 2009 - iopscience.iop.org
An iterative generic algorithm has been developed to compare three thresholding models
used to delineate gross tumour volume on 18 F-FDG PET images. 3D volume was extracted …
used to delineate gross tumour volume on 18 F-FDG PET images. 3D volume was extracted …
[HTML][HTML] Analysis of differences between 99mTc-MAA SPECT- and 90Y-microsphere PET-based dosimetry for hepatocellular carcinoma selective internal radiation …
M Kafrouni, C Allimant, M Fourcade, S Vauclin, B Guiu… - EJNMMI research, 2019 - Springer
Background The aim of this study was to compare predictive and post-treatment dosimetry
and analyze the differences, investigating factors related to activity preparation and delivery, …
and analyze the differences, investigating factors related to activity preparation and delivery, …
Retrospective voxel-based dosimetry for assessing the ability of the body-surface-area model to predict delivered dose and radioembolization outcome
…, C Allimant, M Fourcade, S Vauclin… - Journal of Nuclear …, 2018 - Soc Nuclear Med
The aim of this study was to quantitatively evaluate the ability of the body-surface-area (BSA)
model to predict tumor-absorbed dose and treatment outcome through retrospective voxel-…
model to predict tumor-absorbed dose and treatment outcome through retrospective voxel-…
Radiation dosimetry and biodistribution of 68Ga-FAPI-46 PET imaging in cancer patients
Targeting cancer-associated fibroblasts (CAFs) has become an attractive goal for diagnostic
imaging and therapy because they can constitute as much as 90% of a tumor mass. The …
imaging and therapy because they can constitute as much as 90% of a tumor mass. The …
[HTML][HTML] Predictive value of initial FDG-PET features for treatment response and survival in esophageal cancer patients treated with chemo-radiation therapy using a …
…, S Ruan, R Modzelewski, P Pineau, S Vauclin… - PLoS …, 2017 - journals.plos.org
Purpose In oncology, texture features extracted from positron emission tomography with 18-fluorodeoxyglucose
images (FDG-PET) are of increasing interest for predictive and …
images (FDG-PET) are of increasing interest for predictive and …
Voxel‐wise supervised analysis of tumors with multimodal engineered features to highlight interpretable biological patterns
T Escobar, S Vauclin, F Orlhac, C Nioche… - Medical …, 2022 - Wiley Online Library
Background Translation of predictive and prognostic image‐based learning models to
clinical applications is challenging due in part to their lack of interpretability. Some deep‐learning‐…
clinical applications is challenging due in part to their lack of interpretability. Some deep‐learning‐…
Quality Assurance Considerations in Radiopharmaceutical Therapy Dosimetry Using PLANETDose: An International Atomic Energy Agency Study
Implementation of radiopharmaceutical therapy dosimetry varies depending on the clinical
application, dosimetry protocol, software, and ultimately the operator. Assessing clinical …
application, dosimetry protocol, software, and ultimately the operator. Assessing clinical …
Segmentation des images TEP au 18F-FDG. Principe et revue de la littérature
Several segmentation methods of lesion uptake in 18 F-FDG PET imaging have been proposed
in the literature. Their principles are presented along with their clinical results. The main …
in the literature. Their principles are presented along with their clinical results. The main …
Realistic and efficient modeling of radiotracer heterogeneity in Monte Carlo simulations of PET images with tumors
S Stute, S Vauclin, H Necib, N Grotus… - … on Nuclear Science, 2012 - ieeexplore.ieee.org
Monte Carlo simulations are extensively used in PET to evaluate the accuracy with which
PET images can yield reliable estimates of parameters of interest. For such applications, the …
PET images can yield reliable estimates of parameters of interest. For such applications, the …