Joint clustering with alignment for temporal data in a one-point-per-trajectory setting

Temporal data, obtained in the setting where it is only possible to observe one time point per trajectory, is widely used in different research fields, yet remains insufficiently addressed from the statistical point of view. Such data often contain observations of a large number of entities, in which case it is of interest to identify a small number of representative behavior types. In this paper, we propose a new method performing clustering simultaneously with alignment of temporal objects inferred from these data, providing insight into the relationships between the entities. A series of simulations confirm the ability of the proposed approach to leverage multiple properties of the complex data we target such as accessible uncertainties, correlations and a small number of time points. We illustrate it on real data encoding cellular response to a radiation treatment with high energy, supported with the results of an enrichment analysis

Individual Barriers to an Active Lifestyle at Older Ages Among Whitehall II Study Participants After 20 Years of Follow-up

Importance: Identification of individual-level barriers associated with decreased activity in older age is essential to inform effective strategies for preventing the health outcomes associated with high sedentary behavior and lack of physical activity during aging. Objective: To assess cross-sectional and prospective associations of a large set of factors with objectively assessed sedentary time and physical activity at older age. Design, Setting, and Participants: This population-based cohort study was conducted among participants in the Whitehall II accelerometer substudy with accelerometer data assessed in 2012 to 2013. Among 4880 participants invited to the accelerometer substudy, 4006 individuals had valid accelerometer data. Among them, 3808 participants also had factors assessed in 1991 to 1993 (mean [SD] follow-up time, 20.3 [0.5] years), 3782 participants had factors assessed in 2002 to 2004 (mean [SD] follow-up time, 9.1 [0.3] years), and 3896 participants had factors assessed in 2012 to 2013 (mean follow up time, 0 years). Data were analyzed from May 2020 through July 2021. Exposures: Sociodemographic factors (ie, age, sex, race and ethnicity, occupational position, and marital status), behavioral factors (ie, smoking, alcohol intake, and fruit and vegetable intake), and health-related factors (ie, body mass index, 36-Item Short Form Health Survey (SF-36) physical and mental component summary scores [PCS and MCS], and number of chronic conditions) were assessed among 3808 individuals in 1991 to 1993; 3782 individuals in 2002 to 2004; and 3896 individuals in 2012 to 2013. High alcohol intake was defined as more than 14 units of alcohol per week, and high fruit and vegetable intake was defined as twice daily or more. Main Outcomes and Measures: Accelerometer-assessed time spent in sedentary behavior, light-intensity physical activity (LIPA), and moderate to vigorous physical activity (MVPA) in 2012 to 2013 were analyzed in 2021 using multivariate linear regressions. Results: A total of 3896 participants (986 [25.3%] women; age range, 60-83 years; mean [SD] age, 69.4 [5.7] years) had accelerometer data and exposure factors available in 2012 to 2013. Older age, not being married or cohabiting, having overweight, having obesity, more chronic conditions, and poorer SF-36 PCS, assessed in midlife or later life, were associated with increased sedentary time at the expense of time in physical activity. Mean time differences ranged from 9.8 min/d (95% CI, 4.1 to 15.6 min/d) of sedentary behavior per 10-point decrease in SF-36 PCS to 51.4 min/d (95% CI, 37.2 to65.7 min/d) of sedentary behavior for obesity vs reference range weight, from -6.2 min/d (95% CI, -8.4 to -4.1 min/d) of LIPA per 5 years of age to -28.0 min/d (95% CI, -38.6 to -17.4 min/d) of LIPA for obesity vs reference range weight, and from -5.3 min/d (95% CI, -8.2 to -2.4 min/d) of MVPA per new chronic condition to -23.4 min/d (95% CI, -29.2 to -17.6 min/d) of MVPA for obesity vs reference range weight in 20-year prospective analyses for men. There was also evidence of clustering of behavioral factors: high alcohol intake, high fruit and vegetable consumption, and no current smoking were associated with decreased sedentary time (mean time difference in cross-sectional analysis in men: -12.7 min/d [95% CI, -19.8 to -5.5 min/d]; -6.0 min/d [95% CI, -12.3 to -0.2]; and -37.4 min/d [95% CI, - 56.0 to -18.8 min/d], respectively) and more physical activity. Conclusions and Relevance: This study found a large range of individual-level barriers associated with a less active lifestyle in older age, including sociodemographic, behavioral, and health-related factors. These barriers were already evident in midlife, suggesting the importance of early implementation of targeted interventions to promote physical activity and reduce sedentary time

Multiparametric radiobiological assays show that variation of X-ray energy strongly impacts relative biological effectiveness: comparison between 220 kV and 4 MV

International audienceBased on classic clonogenic assay, it is accepted by the scientific community that, whatever the energy, the relative biological effectiveness of X-rays is equal to 1. However, although X-ray beams are widely used in diagnosis, interventional medicine and radiotherapy, comparisons of their energies are scarce. We therefore assessed in vitro the effects of low- and high-energy X-rays using Human umbilical vein endothelial cells (HUVECs) by performing clonogenic assay, measuring viability/mortality, counting γ-H2AX foci, studying cell proliferation and cellular senescence by flow cytometry and by performing gene analysis on custom arrays. Taken together, excepted for γ-H2AX foci counts, these experiments systematically show more adverse effects of high energy X-rays, while the relative biological effectiveness of photons is around 1, whatever the quality of the X-ray beam. These results strongly suggest that multiparametric analysis should be considered in support of clonogenic assay

Flexible modeling of radiation-induced adverse events risk

La radiothérapie occupe une place majeure dans l’arsenal thérapeutique des cancers.Malgré des progrès technologiques importants depuis près de vingt ans, des tissus sains au voisinage ou à distance de la tumeur cible continuent à être inévitablement irradiés à des niveaux de doses très différents. Ces doses sont à l’origine d’effets secondaires précoces (Œdème, radionécrose, Dysphagie, Cystite) ou tardifs (rectorragies, télangiectasie, effets carcinogènes, les pathologie cérébrovasculaires).Il est donc primordial de quantifier et de prévenir ces effets secondaires afin d'améliorer la qualité de vie des patients pendant et après leur traitement.La modélisation du risque d'événements iatrogènes radio-induits repose sur la connaissance précise de la distribution de doses au tissu sain d'intérêt ainsi que sur un modèle de risque capable d'intégrer un maximum d'informations sur le profil d'irradiation et des autres facteurs de risques non dosimétriques. L'objectif de ce travail de thèse a été de développer des méthodes de modélisation capables de répondre à des questions spécifiques aux deux aspects, dosimétriques et statistiques, intervenant dans la modélisation du risque de survenue d'événements iatrogènes radio-induits.Nous nous sommes intéressé dans un premier temps au développement d'un modèle de calcul permettant de déterminer avec précision la dose à distance due au rayonnements de diffusion et de fuite lors d'un traitement par radiothérapie externe et ce, pour différentes tailles des champs et à différentes distances de l'axe du faisceau. Ensuite, nous avons utilisé des méthodes d'analyse de données fonctionnelles pour développer un modèle de risque de toxicité rectales après irradiation de la loge prostatique. Le modèle proposé a montré des performances supérieures aux modèles de risque existants particulièrement pour décrire le risque de toxicités rectales de grade 3. Dans le contexte d'une régression de Cox flexible sur données réelles, nous avons proposé une application originale des méthodes de statistique fonctionnelle permettant d'améliorer les performances d'une modélisation via fonctions B-splines de la relation dose-effet entre la dose de radiation à la thyroïde.Nous avons également proposé dans le domaine de la radiobiologie une méthodes basée sur l’analyse en composantes principales multiniveau pour quantifier la part de la variabilité expérimentale dans la variabilité des courbes de fluorescence mesurées.Radiotherapy plays a major role in the therapeutic arsenal against cancer. Despite significant advances in technology for nearly twenty years, healthy tissues near or away from the target tumor remain inevitably irradiated at very different levels of doses. These doses are at the origin of early side effects (edema, radiation necrosis, dysphagia, cystitis) or late (rectal bleeding, telangiectasia, carcinogenic, cerebrovascular diseases). It is therefore essential to quantify and prevent these side effects to improve the patient quality of life after their cancer treatment.The objective of this thesis was to propose modelling methods able to answer specific questions asked in both aspects, dosimetry and statistics, involved in the modeling risk of developing radiation-induced iatrogenic pathologies.Our purpose was firstly to assess the out-of-field dose component related to head scatter radiation in high-energy photon therapy beams and then derive a multisource model for this dose component. For measured doses under out-of-field conditions, the average local difference between the calculated and measured photon dose is 10%, including doses as low as 0.01% of the maximum dose on the beam axis. We secondly described a novel method to explore radiation dose-volume effects. Functional data analysis is used to investigate the information contained in differential dose-volume histograms. The method is applied to the normal tissue complication probability modeling of rectal bleeding for In the flexible Cox model context, we proposed a new dimension reduction technique based on a functional principal component analysis to estimate a dose-response relationship. A two-stage knots selection scheme was performed: a potential set of knots is chosen based on information from the rotated functional principal components and the final knots selection is then based on statistical model selection. Finally, a multilevel functional principal component analysis was applied to radiobiological data in order to quantify the experimental Variability for replicate measurements of fluorescence signals of telomere length

Modélisation flexible du risque d’événements iatrogènes radio-induits

Radiotherapy plays a major role in the therapeutic arsenal against cancer. Despite significant advances in technology for nearly twenty years, healthy tissues near or away from the target tumor remain inevitably irradiated at very different levels of doses. These doses are at the origin of early side effects (edema, radiation necrosis, dysphagia, cystitis) or late (rectal bleeding, telangiectasia, carcinogenic, cerebrovascular diseases). It is therefore essential to quantify and prevent these side effects to improve the patient quality of life after their cancer treatment.The objective of this thesis was to propose modelling methods able to answer specific questions asked in both aspects, dosimetry and statistics, involved in the modeling risk of developing radiation-induced iatrogenic pathologies.Our purpose was firstly to assess the out-of-field dose component related to head scatter radiation in high-energy photon therapy beams and then derive a multisource model for this dose component. For measured doses under out-of-field conditions, the average local difference between the calculated and measured photon dose is 10%, including doses as low as 0.01% of the maximum dose on the beam axis. We secondly described a novel method to explore radiation dose-volume effects. Functional data analysis is used to investigate the information contained in differential dose-volume histograms. The method is applied to the normal tissue complication probability modeling of rectal bleeding for In the flexible Cox model context, we proposed a new dimension reduction technique based on a functional principal component analysis to estimate a dose-response relationship. A two-stage knots selection scheme was performed: a potential set of knots is chosen based on information from the rotated functional principal components and the final knots selection is then based on statistical model selection. Finally, a multilevel functional principal component analysis was applied to radiobiological data in order to quantify the experimental Variability for replicate measurements of fluorescence signals of telomere length.La radiothérapie occupe une place majeure dans l’arsenal thérapeutique des cancers.Malgré des progrès technologiques importants depuis près de vingt ans, des tissus sains au voisinage ou à distance de la tumeur cible continuent à être inévitablement irradiés à des niveaux de doses très différents. Ces doses sont à l’origine d’effets secondaires précoces (Œdème, radionécrose, Dysphagie, Cystite) ou tardifs (rectorragies, télangiectasie, effets carcinogènes, les pathologie cérébrovasculaires).Il est donc primordial de quantifier et de prévenir ces effets secondaires afin d'améliorer la qualité de vie des patients pendant et après leur traitement.La modélisation du risque d'événements iatrogènes radio-induits repose sur la connaissance précise de la distribution de doses au tissu sain d'intérêt ainsi que sur un modèle de risque capable d'intégrer un maximum d'informations sur le profil d'irradiation et des autres facteurs de risques non dosimétriques. L'objectif de ce travail de thèse a été de développer des méthodes de modélisation capables de répondre à des questions spécifiques aux deux aspects, dosimétriques et statistiques, intervenant dans la modélisation du risque de survenue d'événements iatrogènes radio-induits.Nous nous sommes intéressé dans un premier temps au développement d'un modèle de calcul permettant de déterminer avec précision la dose à distance due au rayonnements de diffusion et de fuite lors d'un traitement par radiothérapie externe et ce, pour différentes tailles des champs et à différentes distances de l'axe du faisceau. Ensuite, nous avons utilisé des méthodes d'analyse de données fonctionnelles pour développer un modèle de risque de toxicité rectales après irradiation de la loge prostatique. Le modèle proposé a montré des performances supérieures aux modèles de risque existants particulièrement pour décrire le risque de toxicités rectales de grade 3. Dans le contexte d'une régression de Cox flexible sur données réelles, nous avons proposé une application originale des méthodes de statistique fonctionnelle permettant d'améliorer les performances d'une modélisation via fonctions B-splines de la relation dose-effet entre la dose de radiation à la thyroïde.Nous avons également proposé dans le domaine de la radiobiologie une méthodes basée sur l’analyse en composantes principales multiniveau pour quantifier la part de la variabilité expérimentale dans la variabilité des courbes de fluorescence mesurées

3-T MR neurography of lumbo-sacral plexus in hereditary transthyretin-related amyloidosis with polyneuropathy

International audienceObjectives: Our aim was to evaluate the ability of magnetic resonance neurography (MRN) of the lumbo-sacral plexus (LSP) to distinguish patients with hereditary transthyretin-related amyloidosis with polyneuropathy (ATTRv-PN) from asymptomatic variant carriers (AVC) and healthy controls and to assess its prognostic value.Methods: Three-Tesla MRN was performed in 25 consecutive ATTRv-PN patients, 18 AVC, and 10 controls including T2-w DIXON and DWI MR sequences. Two blinded readers independently assessed LSP root diameter and intraneural signal on the MRN images of each subject. MRN findings were compared between groups and correlated with clinical impairment scored on the Neuropathy Impairment Score (NIS) and the modified Polyneuropathy Disability score (mPND).Results: The agreement between readers on MRN images was excellent (Cohen’s kappa = 0.82). LSP root enlargement was significantly more frequent in ATTRv-PN patients compared to AVC (ratio = 4.38, p = 0.038). Increased LSP root intraneural signal on T2-w images was significantly more frequent in ATTRv-PN patients compared to AVC (ratio = 3.4, p = 0.016). In contrast, there were no MRN abnormalities in controls. In ATTRv-PN patients, LSP root enlargement was associated with higher mPND scores (p = 0.03) and increased intraneural signal on T2-w images was associated with significantly higher NIS and mPND scores (p = 0.004 and 0.02, respectively).Conclusions: MRN of the LSP can help differentiate ATTRv-PN patients from AVC. LSP root enlargement and increased intraneural signal are significantly associated with clinical impairment, suggesting potential implications for patient care

Five‐year mortality of severely malnourished patients with chronic anorexia nervosa admitted to a medical unit

International audienceObjective: Anorexia nervosa (AN) is associated with one of the highest mortality rates of any psychiatric disorder but limited mortality data were reported for those with extremely severe malnutrition. This study aimed to estimate standardized mortality ratio (SMR), investigate predictive factors of mortality and causes of death among a sample of patients with AN admitted to a specialized clinical nutrition unit (CNU) because of extremely severe malnutrition. Methods: Between 11/27/1997 and 01/15/2014, vital status was determined for 384 patients admitted for AN at the first time in the CNU. Sociodemographic, anamnestic, and clinical data were collected. We calculated the SMR. Univariate and multivariate Cox regression analyses were performed to identify mortality predictors. Results: Crude mortality rate was 11.5%. (44 deaths) and SMR 15.9 [CI 95% (11.6–21.4)], 5.2 years post inpatient treatment. Mortality predictors at the time of hospitalization were as follows: older age, occurrence of an in-hospital suicide attempt, transfer to medical intensive care unit and the following somatic complications: frank anemia, dysnatremia, infectious and cardiac complications. Other predictors of mortality were: past or present history of discharge against medical advice, hematological comorbidities (not related to AN). A longer inpatient length of stay was a protective factor. Conclusion: Very severely malnourished patients with AN hospitalized in a medical unit because of extremely severe somatic issues have a medium-term mortality rate higher than the general population and even higher than patients in tertiary specialized ED units. This study highlights predictive factors of mortality that will help clinicians in recognizing and managing patients at risk of death

Inflammatory cells dynamics control neovascularization and tissue healing after localized radiation induced injury in mice

Abstract Local overexposure to ionizing radiation leads to chronic inflammation, vascular damage and cachexia. Here we investigate the kinetics of inflammatory cells from day (D)1 to D180 after mouse hindlimb irradiation and analyze the role of monocyte (Mo) subsets in tissue revascularization. At D1, we find that Mo and T cells are mobilized from spleen and bone marrow to the blood. New vessel formation during early phase, as demonstrated by ~1.4- and 2-fold increased angiographic score and capillary density, respectively, correlates with an increase of circulating T cells, and Mohi and type 1-like macrophages in irradiated muscle. At D90 vascular rarefaction and cachexia are observed, associated with decreased numbers of circulating Molo and Type 2-like macrophages in irradiated tissue. Moreover, CCR2- and CX3CR1-deficency negatively influences neovascularization. However adoptive transfer of Mohi enhances vessel growth. Our data demonstrate the radiation-induced dynamic inflammatory waves and the major role of inflammatory cells in neovascularization

Clinical Relevance of the Feces Sign in Small-Bowel Obstruction Due to Adhesions Depends on Its Location

International audienceOBJECTIVE: The objective of our study was to evaluate if the feces sign can be used to predict successful nonoperative treatment or progression to ischemia in patients with small-bowel obstruction (SBO) due to adhesions. MATERIALS AND METHODS: For this single-center retrospective observational study involving a blinded independent review by two radiologists of 237 consecutive CT examinations of 216 patients with SBO due to adhesions (age: mean, 70.9 years; median, 74 years; interquartile range, 62-84 years), the location of the transition zone (TZ), number of TZs, and presence and location of the feces sign relative to the TZ were recorded. The reference standard for diagnosing ischemia was surgical and pathologic findings (n = 108 CT examinations) or, when treatment was nonoperative (n = 129 CT examinations), clinical outcome. Factors associated with successful nonoperative treatment and ischemia were identified by univariate and multivariate analyses. RESULTS: A feces sign was seen in 88 of 237 CT examinations (37.1%). The feces sign was at the TZ, which we refer to as the "TZ feces" sign, in 82 of 88 (93.2%) patients; between two TZs, which we refer to as the "trapped feces" sign, in 14 (15.9%) patients; and in both locations in eight (9.1%) patients. By univariate analysis, an isolated TZ feces sign was associated positively with successful nonoperative treatment (odds ratio [OR], 3.37; 95% CI, 1.71-6.66; p \textless 0.001) and negatively with ischemia (OR, 0.33; 95% CI, 0.13-0.85; p = 0.02). Combined TZ and trapped feces signs were associated with ischemia (OR, 24.16; 95% CI, 2.86-203.89; p = 0.003). By multivariate analysis, regardless of the location of the feces sign, the feces sign was not significantly associated with successful nonoperative treatment or progression to ischemia. CONCLUSION: The feces sign is common and helps to identify the TZ. Among the CT signs of SBO, the feces sign does not independently help to predict successful nonoperative treatment or progression to ischemia