Ulrike Schick
French Institute of Health and Medical Research
CancerInternal medicineRadiologyPET-CTSurgeryOncologyArtificial intelligenceProspective cohort studyPositron emission tomographyHead and neck cancerChemotherapyCervical cancerChemoradiotherapyRadiomicsConcomitantProstate cancerToxicityNuclear medicineComputer scienceRadiation therapyMedicine
189Publications
23H-index
1,503Citations
Publications 190
Newest
#1Ulrike Schick (French Institute of Health and Medical Research)H-Index: 23
#2I. LatorzeffH-Index: 9
Last. Paul SargosH-Index: 18
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Abstract null null Approximately thirty percent of patients experience biochemical recurrence after radical prostatectomy for prostate cancer. Early salvage radiotherapy has recently become a standard of care in this setting. The purpose of this review is first to summarize current knowledge in terms of dose to the prostate bed in light of the recent SAKK 09/10 randomized phase III trial results. The evidence on moderate hypofractionation will also be discussed whereas extreme hypofractionation ...
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#1Ronrick Da-ano (French Institute of Health and Medical Research)H-Index: 3
#2François Lucia (French Institute of Health and Medical Research)H-Index: 7
Last. Ulrike Schick (French Institute of Health and Medical Research)H-Index: 23
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Purpose null To facilitate the demonstration of the prognostic value of radiomics, multicenter radiomics studies are needed. Pooling radiomic features of such data in a statistical analysis is however challenging, as they are sensitive to the variability in scanner models, acquisition protocols and reconstruction settings, which is often unavoidable in a multicentre retrospective analysis. A statistical harmonization strategy called ComBat was utilized in radiomics studies to deal with the "cent...
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#1Ingrid Masson (French Institute of Health and Medical Research)H-Index: 10
#2Ronrick Da-ano (French Institute of Health and Medical Research)H-Index: 3
Last. Ulrike Schick (French Institute of Health and Medical Research)H-Index: 23
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Purpose To develop a radiomic model predicting non-response to induction chemotherapy in laryngeal cancers, from multicenter pre-therapeutic contrast-enhanced computed tomography (CE-CT) and evaluate the benefit of features harmonization in such a context. Methods Patients (n=104) eligible for laryngeal preservation chemotherapy were included in 5 centers. Primary tumor was manually delineated on the CE-CT images. The following radiomic features were extracted with an in-house software (MIRAS v1...
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#2Vianney BastitH-Index: 3
Last. E. BlaisH-Index: 3
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Abstract null null Purpose null Endoscopic endonasal surgery (EES) is becoming a standard for most malignant sinonasal tumours. Margin analysis after piecemeal resection is complex and optimally relies on accurate histosurgical mapping. Postoperative radiotherapy may be adapted based on margin assessment mapping to reduce the dose to some sinonasal subvolumes. We assessed the use of histosurgical mapping by radiation oncologists (RO). null null null Material and methods null A French practice su...
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#1François LuciaH-Index: 7
#2O. MirandaH-Index: 4
Last. Ulrike SchickH-Index: 23
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Functional imaging allows the evaluation of numerous biological properties that could be considered at all steps of the therapeutic management of patients treated with brachytherapy. Indeed, it enables better initial staging of the disease, and some parameters may also be used as predictive biomarkers for treatment response, allowing better selection of patients eligible for brachytherapy. It may also improve the definition of target volumes with the aim of dose escalations by dose-painting. Fin...
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#1Morgan GuénoléH-Index: 1
#2Paolo BénigniH-Index: 2
Last. Ulrike Schick (University of Western Brittany)H-Index: 23
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Introduction null The aim of this study was to evaluate prognostic factors in patients with non-metastatic Merkel cell carcinoma (MCC), with a particular focus on immunological markers such as TILs subtyping (CD3, CD8, CD68, FoxP3, PD-L1 and PD-1) and MCPyV. null Methods null Patients treated for a non-metastatic MCC with oncologic surgical resection followed or not by adjuvant radiotherapy between 01/2007 and 12/2018 were analyzed. Local and regional control (LC, RC), distant metastasis-free su...
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Objective. To report outcome and predictive factors in patients with N3 (> 6 cm) nonmetastatic locally advanced head and neck squamous cell carcinoma (LAHNSCC) treated with a conservative approach or with initial surgery. Methods. 104 patients were included: 69 treated with radiotherapy (RT) null chemotherapy (CT) and 35 with nodal surgery with or without primary tumour resection, which was completed in 30 patients by adjuvant RT null CT. Positron-emission tomography-computed tomography (PET-CT)...
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#1François LuciaH-Index: 7
#2V. BourbonneH-Index: 4
Last. Ulrike SchickH-Index: 23
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Standard treatment for locally advanced cervical cancer (LACC) is chemoradiotherapy followed by brachytherapy. Despite radiation therapy advances, the toxicity rate remains significant. In this study, we compared the prediction of toxicity events after radiotherapy for locally advanced cervical cancer (LACC), based on either dose-volume histogram (DVH) parameters or the use of a radiomics approach applied to dose maps at the voxel level. Toxicity scores using the Common Terminology Criteria for ...
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#1Marta Da Silva Ferreira (University of Liège)
#2Pierre LovinfosseH-Index: 6
Last. Roland Hustinx (University of Liège)H-Index: 53
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1406 Objectives: To test the performances of native and tumour to liver ratio (TLR) radiomic features extracted from pre-treatment 2-[18F] fluoro-2-deoxy-D-glucose ([18F]FDG) PET/CT and combined with machine learning (ML) for predicting disease free survival (DFS) in patients with locally advanced cervical cancer (LACC). Methods: One hundred fifty-eight patients with LACC from multiple centers were retrospectively included in the study. Tumours were segmented using the Fuzzy Local Adaptive Bayes...
#1Da-ano Ronrick (French Institute of Health and Medical Research)
#2François Lucia (French Institute of Health and Medical Research)H-Index: 7
Last. Mathieu Hatt (French Institute of Health and Medical Research)H-Index: 39
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40 Purpose: Radiomic features are potential imaging biomarkers for prognosis and predictive modeling in oncology. Selection of features sufficiently robust or even completely insensitive to the variability of imaging characteristics in multicenter data (scanner mode, acquisition protocols and/or reconstruction settings), may help building robust models, however it also may lead to loss of potentially useful information (predictive features are being discarded beforehand). Our goal was to compare...