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2. Smoking and diabetes

Author

Rouland, Alexia, Thuillier, Philippe, Al-Salameh, Abdallah, Benzerouk, Farid, Bahougne, Thibault, Tramunt, Blandine, Berlin, Ivan, Clair, Carole, Thomas, Daniel, Le Faou, Anne-Laurence, Vergès, Bruno, and Durlach, Vincent

Published
2024
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3. Diagnosis and management of children and adult craniopharyngiomas: A French Endocrine Society/French Society for Paediatric Endocrinology & Diabetes Consensus Statement

Author

Cuny, Thomas, Reynaud, Rachel, Raverot, Gérald, Coutant, Régis, Chanson, Philippe, Kariyawasam, Dulanjalee, Poitou, Christine, Thomas-Teinturier, Cécile, Baussart, Bertrand, Samara-Boustani, Dinane, Feuvret, Loïc, Villanueva, Carine, Villa, Chiara, Bouillet, Benjamin, Tauber, Maïthé, Espiard, Stéphanie, Castets, Sarah, Beckers, Albert, Amsellem, Jessica, Vantyghem, Marie-Christine, Delemer, Brigitte, Chevalier, Nicolas, Brue, Thierry, André, Nicolas, Kerlan, Véronique, Graillon, Thomas, Raingeard, Isabelle, Alapetite, Claire, Raverot, Véronique, Salenave, Sylvie, Boulin, Anne, Appay, Romain, Dalmas, Florian, Fodil, Sarah, Coppin, Lucie, Buffet, Camille, Thuillier, Philippe, Castinetti, Frédéric, Vogin, Guillaume, Cazabat, Laure, Kuhn, Emmanuelle, Haissaguerre, Magalie, Reznik, Yves, Goichot, Bernard, Bachelot, Anne, Kamenicky, Peter, Decoudier, Bénédicte, Planchon, Charlotte, Micoulaud-Franchi, Jean-Arthur, Romanet, Pauline, Jacobi, David, Faucher, Pauline, Carette, Claire, Bihan, Hélène, Drui, Delphine, Rossignol, Sylvie, Gonin, Lucile, Sokol, Emmanuelle, Wiard, Laurent, Courtillot, Carine, Nicolino, Marc, Grunenwald, Solange, Chabre, Olivier, Christin-Maître, Sophie, Desailloud, Rachel, Maiter, Dominique, Guignat, Laurence, Brac de la Perrière, Aude, Salva, Philippe, Scavarda, Didier, Bonneville, Fabrice, Caron, Philippe, Vasiljevic, Alexandre, Leclercq, Delphine, Cortet, Christine, Gaillard, Stephan, Albarel, Frédérique, Clément, Karine, Jouanneau, Emmanuel, Dufour, Henry, Barat, Pascal, and Gatta-Cherifi, Blandine

Published
2025
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13. Population-based input function (PBIF) applied to dynamic whole-body 68Ga-DOTATOC-PET/CT acquisition.

Author

Thuillier, Philippe, Bourhis, David, Pavoine, Mathieu, Metges, Jean-Philippe, Le Pennec, Romain, Schick, Ulrike, Blanc-Béguin, Frédérique, Hennebicq, Simon, Salaun, Pierre-Yves, Kerlan, Véronique, Karakatsanis, Nicolas A., and Abgral, Ronan

Subjects
RADIOTHERAPY, RADIOPHARMACEUTICALS, SCIENTIFIC observation, QUANTITATIVE research, DESCRIPTIVE statistics, OCTREOTIDE acetate, LONGITUDINAL method, COMPUTERS in medicine, NEUROENDOCRINE tumors, RESEARCH methodology, ORGANOMETALLIC compounds, EMISSION-computed tomography, CONFIDENCE intervals, COMPARATIVE studies, DATA analysis software
Abstract

Rational: To validate a population-based input function (PBIF) model that alleviates the need for scanning since injection time in dynamic whole-body (WBdyn) PET. Methods: Thirty-seven patients with suspected/known well-differentiated neuroendocrine tumors were included (GAPETNET trial NTC03576040). All WBdyn 68Ga-DOTATOC-PET/CT acquisitions were performed on a digital PET system (one heart-centered 6 min-step followed by nine WB-passes). The PBIF model was built from 20 image-derived input functions (IDIFs) obtained from a respective number of patients' WBdyn exams using an automated left-ventricle segmentation tool. All IDIF peaks were aligned to the median time-to-peak, normalized to patient weight and administrated activity, and then fitted to an exponential model function. PBIF was then applied to 17 independent patient studies by scaling it to match the respective IDIF section at 20-55 min post-injection time windows corresponding to WB-passes 3-7. The ratio of area under the curves (AUCs) of IDIFs and PBIF3-7 were compared using a Bland--Altman analysis (mean bias ± SD). The Patlakestimated mean Ki for physiological uptake (Ki-liver and Ki-spleen) and tumor lesions (Ki-tumor) using either IDIF or PBIF were also compared. Results: The mean AUC ratio (PBIF/IDIF) was 0.98 ± 0.06. The mean Ki bias between PBIF3-7 and IDIF was -2.6 ± 6.2% (confidence interval, CI: -5.8; 0.6). For Ki-spleen and Ki-tumor, low relative bias with low SD were found [4.65 ± 7.59% (CI: 0.26; 9.03) and 3.70 ± 8.29% (CI: -1.09; 8.49) respectively]. For Ki-liver analysis, relative bias and SD were slightly higher [7.43 ± 13.13% (CI: -0.15; 15.01)]. Conclusion: Our study showed that the PBIF approach allows for reduction in WBdyn DOTATOC-PET/CT acquisition times with a minimum gain of 20 min. [ABSTRACT FROM AUTHOR]

Published
2024
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20. Characteristics and treatment options of glucagonomas: a national study from the French Group of Endocrine Tumors and ENDOCAN-RENATEN network

Author

Perrier, Marine, primary, Brugel, Mathias, additional, Gérard, Laura, additional, Goichot, Bernard, additional, Lièvre, Astrid, additional, Lepage, Come, additional, Hautefeuille, Vincent, additional, Do Cao, Christine, additional, Smith, Denis, additional, Thuillier, Philippe, additional, Cros, Jérôme, additional, Cadiot, Guillaume, additional, Walter, Thomas, additional, and de Mestier, Louis, additional

Published
2023
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21. Genetic testing in prolactinomas: a cohort study

Author

Boukerrouni, Amina, primary, Cuny, Thomas, additional, Anjou, Thibaut, additional, Raingeard, Isabelle, additional, Ferrière, Amandine, additional, Grunenwald, Solange, additional, Maïza, Jean-Christophe, additional, Marquant, Emeline, additional, Sahakian, Nicolas, additional, Fodil-Cherif, Sarah, additional, Salle, Laurence, additional, Niccoli, Patricia, additional, Randrianaivo, Hanitra, additional, Sonnet, Emmanuel, additional, Chevalier, Nicolas, additional, Thuillier, Philippe, additional, Vezzosi, Delphine, additional, Reynaud, Rachel, additional, Dufour, Henry, additional, Brue, Thierry, additional, Tabarin, Antoine, additional, Delemer, Brigitte, additional, Kerlan, Véronique, additional, Castinetti, Frédéric, additional, Barlier, Anne, additional, and Romanet, Pauline, additional

Published
2023
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27. Case Report: Longterm metabolic response of metastatic uveal melanoma to pembrolizumab on FDG-PET/CT despite a serial pseudoprogressions phenomenon.

Author

Amrane, Karim, Le Meur, Coline, Thuillier, Philippe, Kamga, Jacques Dzuko, Alemany, Pierre, Chauvelot, Frederic, Niel, Clémence, Bellange, Alex, and Abgral, Ronan

Subjects
UVEAL melanoma, POSITRON emission tomography, PEMBROLIZUMAB, MELANOMA, METASTASIS, IMMUNE checkpoint inhibitors
Abstract

Uveal melanoma (UV) is a rare and aggressive melanoma with poor 1-year survival. up to 50% of UV patients develop metastases, mainly to the liver. Here, the authors present a 2-deoxy-2-[18F] fluoro-D-glucose positron emission tomography (18F-FDG-PET) study of a very rare case of secondarily metastatic UV in an 81-year-old Caucasian with a dramatic response to pembrolizumab associated with serial pseudogression. 18F-FDG-PET associated with clinical status and peripheral blood derived neutrophil-tolymphocyte ratio (dNLR) were performed to guide therapeutic strategy due to an atypical pseudoprogression phenomenon. [ABSTRACT FROM AUTHOR]

Published
2023
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30. Supplementary Figure 1 from Cytogenetic Instability in Ovarian Epithelial Cells from Women at Risk of Ovarian Cancer

Author

Pejovic, Tanja, primary, Yates, Jane E., primary, Liu, Hong Y., primary, Hays, Laura E., primary, Akkari, Yassmine, primary, Torimaru, Yumi, primary, Keeble, Winifred, primary, Rathbun, R. Keaney, primary, Rodgers, William H., primary, Bale, Allen E., primary, Ameziane, Najim, primary, Zwaan, C. Michael, primary, Errami, Abdellatif, primary, Thuillier, Philippe, primary, Cappuccini, Fabio, primary, Olson, Susan B., primary, Cain, Joanna M., primary, and Bagby, Grover C., primary

Published
2023
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31. Data from Cytogenetic Instability in Ovarian Epithelial Cells from Women at Risk of Ovarian Cancer

Author

Pejovic, Tanja, primary, Yates, Jane E., primary, Liu, Hong Y., primary, Hays, Laura E., primary, Akkari, Yassmine, primary, Torimaru, Yumi, primary, Keeble, Winifred, primary, Rathbun, R. Keaney, primary, Rodgers, William H., primary, Bale, Allen E., primary, Ameziane, Najim, primary, Zwaan, C. Michael, primary, Errami, Abdellatif, primary, Thuillier, Philippe, primary, Cappuccini, Fabio, primary, Olson, Susan B., primary, Cain, Joanna M., primary, and Bagby, Grover C., primary

Published
2023
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32. Supplementary Figure 2 from Cytogenetic Instability in Ovarian Epithelial Cells from Women at Risk of Ovarian Cancer

Author

Pejovic, Tanja, primary, Yates, Jane E., primary, Liu, Hong Y., primary, Hays, Laura E., primary, Akkari, Yassmine, primary, Torimaru, Yumi, primary, Keeble, Winifred, primary, Rathbun, R. Keaney, primary, Rodgers, William H., primary, Bale, Allen E., primary, Ameziane, Najim, primary, Zwaan, C. Michael, primary, Errami, Abdellatif, primary, Thuillier, Philippe, primary, Cappuccini, Fabio, primary, Olson, Susan B., primary, Cain, Joanna M., primary, and Bagby, Grover C., primary

Published
2023
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33. Supplementary Figure Legends and Tables 1-2 from Cytogenetic Instability in Ovarian Epithelial Cells from Women at Risk of Ovarian Cancer

Author

Pejovic, Tanja, primary, Yates, Jane E., primary, Liu, Hong Y., primary, Hays, Laura E., primary, Akkari, Yassmine, primary, Torimaru, Yumi, primary, Keeble, Winifred, primary, Rathbun, R. Keaney, primary, Rodgers, William H., primary, Bale, Allen E., primary, Ameziane, Najim, primary, Zwaan, C. Michael, primary, Errami, Abdellatif, primary, Thuillier, Philippe, primary, Cappuccini, Fabio, primary, Olson, Susan B., primary, Cain, Joanna M., primary, and Bagby, Grover C., primary

Published
2023
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38. Population-based input function (PBIF) applied to dynamic whole-body 68Ga-DOTATOC-PET/CT acquisition

Author

Thuillier, Philippe, primary, Bourhis, David, additional, Pavoine, Mathieu, additional, Metges, Jean-Philippe, additional, Le Pennec, Romain, additional, Schick, Ulrike, additional, Blanc-Béguin, Frédérique, additional, Hennebicq, Simon, additional, Salaun, Pierre-Yves, additional, Kerlan, Véronique, additional, Karakatsanis, Nicolas A., additional, and Abgral, Ronan, additional

Published
2022
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41. Prognostic Value of Whole-Body PET Volumetric Parameters Extracted from 68Ga-DOTATOC PET/CT in Well-Differentiated Neuroendocrine Tumors

Author

Thuillier, Philippe, primary, Liberini, Virginia, additional, Grimaldi, Serena, additional, Rampado, Osvaldo, additional, Gallio, Elena, additional, Santi, Bruno De, additional, Arvat, Emanuela, additional, Piovesan, Alessandro, additional, Filippi, Roberto, additional, Abgral, Ronan, additional, Molinari, Filippo, additional, and Deandreis, Désirée, additional

Published
2021
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42. Sex disparities in COVID-19 outcomes of inpatients with diabetes: insights from the CORONADO study

Author

Tramunt, Blandine, primary, Smati, Sarra, additional, Coudol, Sandrine, additional, Wargny, Matthieu, additional, Pichelin, Matthieu, additional, Guyomarch, Béatrice, additional, Al-Salameh, Abdallah, additional, Amadou, Coralie, additional, Barraud, Sara, additional, Bigot, Edith, additional, Bordier, Lyse, additional, Borot, Sophie, additional, Bourgeon, Muriel, additional, Bourron, Olivier, additional, Charrière, Sybil, additional, Chevalier, Nicolas, additional, Cosson, Emmanuel, additional, Fève, Bruno, additional, Flaus-Furmaniuk, Anna, additional, Fontaine, Pierre, additional, Galioot, Amandine, additional, Gonfroy-Leymarie, Céline, additional, Guerci, Bruno, additional, Lablanche, Sandrine, additional, Lalau, Jean-Daniel, additional, Larger, Etienne, additional, Lasbleiz, Adèle, additional, Laviolle, Bruno, additional, Marre, Michel, additional, Munch, Marion, additional, Potier, Louis, additional, Prevost, Gaëtan, additional, Renard, Eric, additional, Reznik, Yves, additional, Seret-Bégué, Dominique, additional, Sibilia, Paul, additional, Thuillier, Philippe, additional, Vergès, Bruno, additional, Gautier, Jean-François, additional, Hadjadj, Samy, additional, Cariou, Bertrand, additional, Mauvais-Jarvis, Franck, additional, and Gourdy, Pierre, additional

Published
2021
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43. Additional file 1 of Impact of segmentation and discretization on radiomic features in 68Ga-DOTA-TOC PET/CT images of neuroendocrine tumor

Author

Liberini, Virginia, Santi, Bruno De, Rampado, Osvaldo, Gallio, Elena, Dionisi, Beatrice, Ceci, Francesco, Polverari, Giulia, Thuillier, Philippe, Molinari, Filippo, and Deandreis, Désirée

Abstract

Additional file 1: Table S1. LifeX radiomic features description according to the Imaging Biomarker Standardization Initiative (IBSI) description (update 17 December 2019). LifeX version was 4.81. Figure S1. Box plots showing the distribution of SUVmax (panel A) and Volume (panel B). Figure S2. (A) Bar diagrams of intra-class correlation coefficient (ICC) values of RFs for robustness to SUVmax thresholding. Bars show the median ICC between the different segmentations for the absolute intensity rescale factor AR60. Range error bars (in black) encompass the lowest and highest values for different operators. (B) Boxplot of COVL for different threshold (20, 30, 40%) for each RFs, for the first operator (results superposable for the other operators). TLG (total lesion glycolysis) conventional parameter in our study corresponds to the TLSRE (total lesion somatostatin receptor expression). Figure S3. Radiomic features with moderate or poor consistency (ICC < 0.80), but high agreement (median COVL < 10%) to intensity discretization. The RFs were: GLCM_Entropy_log2, GLCM_Entropy_log10 (not shown), GLRLM_SRE, GLRLM_LRE and GLRLM_RP. Value of the RFs for each lesion are presented in the top row; boxplots of COVL for the first operator are presented in the bottom row. Figure S4. Radiomic features with high consistency (ICC > 0.90), but low agreement (median COVL > 10%) to SUVmax thresholds (0, 20, 30 and 40%). The RFs were: GLRLM_LGRE, GLRLM_SRLGE, GLZLM_LGZE and GLZLM_LZLGE. Value of the RFs for each lesion are presented in the top row; boxplots of COVL for the first operator are presented in the bottom row. Figure S5. Boxplot showing the distribution of RF value for each operator. The three RFs chosen are the most representative of the impact of segmentation on ICC. Segmentation did not affect SUVmean (A) and TLG (B) in terms of ICC, although TLG was characterized by not negligible dispersion (percentage of COVL) in our study. In contrast, segmentation had a high impact on GLZLM_SZLGE (C) in terms of both ICC and COVL. Mean COVL of SUVmean, TLG and GLZLM_SZLGE was 8.33±3.96, 13.38±8.52 and 30.67±27.29, respectively.

Published
2021
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44. Bed bug infestation in a French university hospital: control strategy, financial impact and perspectives.

Author

Gressier, A., Galakhoff, N., Thuillier, P., Kerlan, V., Cogulet, V., Cosse, M., Daniel, L., Canevet, M., Cabon, S., Le Grand, A., Baron, R., Saliou, P., Gressier, Annabelle, Galakhoff, Nicolas, Thuillier, Philippe, Kerlan, Véronique, Cogulet, Virginie, Cosse, Morgane, Daniel, Lénaïg, and Canevet, Maryline

Abstract

Background: With the increase in international travel and development of insecticide resistance, a re-emergence of the bed bug has been observed since the 2000s and it is becoming a worldwide public health problem. Hospitals and other medical settings have not been spared, while the cases reported remain limited. However, there are no specific recommendations for the healthcare settings in the literature.Aim: To report our experience of a bed bug infestation in a medical unit, in the French University Hospital Centre of Brest, caused by the admission of a patient carrier in October 2020. We described the practical methods used to control bed bugs infestation, evaluated the cost of this episode and created a specific procedure to take care of at-risk patients or known carriers of bed bugs.Findings: The decision to close the unit for global treatment was taken after the investigations using a sniffer dog revealed that four rooms were infested. The closure lasted 24 days. We estimated the total cost of the infestation to be approximately US$400,000. No other wave of infestation occurred. We created a specific protocol of care for patients who were known carriers or at risk of carriage of bed bugs to graduate a strategy of control.Conclusion: Bed bug infestations in health facilities have a major impact on the care of patients and relevant economic consequences. Prevention and education policies are an essential starting point to respond to the scale of the phenomenon. [ABSTRACT FROM AUTHOR]

Published
2022
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48. Diagnostic Value of Conventional PET Parameters and Radiomic Features Extracted from 18F-FDG-PET/CT for Histologic Subtype Classification and Characterization of Lung Neuroendocrine Neoplasms

Author

Thuillier, Philippe, primary, Liberini, Virginia, additional, Rampado, Osvaldo, additional, Gallio, Elena, additional, De Santi, Bruno, additional, Ceci, Francesco, additional, Metovic, Jasna, additional, Papotti, Mauro, additional, Volante, Marco, additional, Molinari, Filippo, additional, and Deandreis, Désirée, additional

Published
2021
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