Ronrick Da-ano
French Institute of Health and Medical Research
Machine learningCancerInternal medicineRadiologyPET-CTMagnetic resonance imagingOncologyUnivariate analysisTransfer of learningArtificial intelligenceStage (cooking)Clinical endpointHazard ratioData sciencePositron emission tomographyLung cancerInduction chemotherapyChemotherapyLungEsophagusCervical cancerRadiomicsHarmonizationContext (language use)Primary tumorLarynxFlexibility (engineering)ToxicityStatistical analysisLocal failurePerformance comparisonGold standard (test)Computer scienceYouden's J statisticRadiation therapyComputed tomographyReceiver operating characteristicPoolingMedicineFeature (computer vision)Unsupervised learningHierarchical clusteringRobustness (computer science)
7Publications
3H-index
70Citations
Publications 7
Newest
#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
view all 12 authors...
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
view all 11 authors...
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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#1V. Bourbonne (French Institute of Health and Medical Research)H-Index: 4
#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
view all 10 authors...
Abstract Purpose (Chemo)–radiotherapy (RT) is the gold standard treatment for patients with locally advanced lung cancer non accessible for surgery. However, current toxicity prediction models rely on clinical and dose volume histograms (DVHs) and remain unsufficient. The goal of this work is to investigate the added predictive value of the radiomics approach applied to dose maps regarding acute and late toxicities in both the lungs and esophagus. Methods Acute and late toxicities scored using t...
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#1Ronrick Da-anoH-Index: 3
#2Dimitris Visvikis (French Institute of Health and Medical Research)H-Index: 55
Last. Mathieu Hatt (French Institute of Health and Medical Research)H-Index: 39
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Carrying out large multicenter studies is one of the key goals to be achieved towards a faster transfer of the radiomics approach in the clinical setting. This requires large-scale radiomics data analysis, hence the need for integrating radiomic features extracted from images acquired in different centers. This is challenging as radiomic features exhibit variable sensitivity to differences in scanner model, acquisition protocols and reconstruction settings, which is similar to the so-called 'bat...
15 CitationsSource
#1Ingrid MassonH-Index: 10
#2Ronrick Da-anoH-Index: 3
Last. Ulrike SchickH-Index: 23
view all 11 authors...
Source
#1Ronrick Da-ano (French Institute of Health and Medical Research)H-Index: 3
#2Ingrid Masson (French Institute of Health and Medical Research)H-Index: 10
Last. Mathieu Hatt (French Institute of Health and Medical Research)H-Index: 39
view all 16 authors...
Multicenter studies are needed to demonstrate the clinical potential value of radiomics as a prognostic tool. However, variability in scanner models, acquisition protocols and reconstruction settings are unavoidable and radiomic features are notoriously sensitive to these factors, which hinders pooling them in a statistical analysis. A statistical harmonization method called ComBat was developed to deal with the "batch effect" in gene expression microarray data and was used in radiomics studies ...
27 CitationsSource
#1G. Dissaux (French Institute of Health and Medical Research)H-Index: 5
#2Dimitris Visvikis (French Institute of Health and Medical Research)H-Index: 55
Last. Ulrike Schick (French Institute of Health and Medical Research)H-Index: 7
view all 17 authors...
: Purpose: The aim of this retrospective multicentric study was to develop and evaluate a prognostic FDG PET/CT radiomics signature in early-stage non-small cell lung cancer (NSCLC) patients treated with stereotactic radiotherapy (SBRT). Material and Methods: Patients from 3 different centers (n = 27, 29 and 8) were pooled to constitute the training set, whereas the patients from a fourth center (n = 23) were used as the testing set. The primary endpoint was local control (LC). The primary tumou...
37 CitationsSource