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3. Testing & Experimentation Facilities: AI Testbeds, Living Labs or Both?

Author

Schuurman, Dimitri, De Cock, Laure, De Meester, Thomas, and De Swert, Tamara

Subjects
DIGITAL technology, ARTIFICIAL intelligence, TECHNOLOGICAL innovations, INNOVATION management, SANDBOXES (Computer science)
Abstract

In the current wave of AI innovation, the European Commission has defined Testing and Experimentation Facilities to be established to facilitate AI innovation in the context of new legislation such as the AI act. Within this paper, we investigate the CitCom.ai TEF in an attempt to link these TEFs to longer existing concepts such as testbeds, Living Labs and Regulatory Sandboxes. Our analysis reveals 7 service categories that can be linked to these three innovation concepts. In the 26 analysed experiments, there was a clear dominance of services linked to the concept of AI testbeds. In second place came three service categories that can be attributed to Living Labs. Remarkably, the service category linked to AI regulatory sandboxes appeared to be the least popular. This reflects the 'in development' status of this concept. [ABSTRACT FROM AUTHOR]

Published
2024

4. Google Indoor Maps or Google Indoor No Maps? Usability Study of an Adapted Mobile Indoor Wayfinding Aid

Author

De Cock, Laure, Ooms, Kristien, Van de Weghe, Nico, De Maeyer, Philippe, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Stephanidis, Constantine, editor, and Antona, Margherita, editor

Published
2020
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5. Supplementary Figure S1 from Validation of the Clinical Use of GIScar, an Academic-developed Genomic Instability Score Predicting Sensitivity to Maintenance Olaparib for Ovarian Cancer

Author

Leman, Raphaël, primary, Muller, Etienne, primary, Legros, Angelina, primary, Goardon, Nicolas, primary, Chentli, Imène, primary, Atkinson, Alexandre, primary, Tranchant, Aurore, primary, Castera, Laurent, primary, Krieger, Sophie, primary, Ricou, Agathe, primary, Boulouard, Flavie, primary, Joly, Florence, primary, Boucly, Romain, primary, Dumont, Aurélie, primary, Basset, Noémie, primary, Coulet, Florence, primary, Chevalier, Louise-Marie, primary, Rouleau, Etienne, primary, Leitner, Katharina, primary, González-Martin, Antonio, primary, Gargiulo, Piera, primary, Lück, Hans-Joachim, primary, Genestie, Catherine, primary, Bogner, Gerhard, primary, Marth, Christian, primary, Petru, Edgar, primary, Reinthaller, Alexander, primary, Schauer, Christian, primary, Sevelda, Paul, primary, D'Hondt, Lionel, primary, Vergote, Ignace, primary, Vuylsteke, Peter, primary, Hietanen, Sakari, primary, Lindahl, Gabriel, primary, Mäenpää, Johanna, primary, Nøttrup, Trine Jakobi, primary, Puistola, Ulla, primary, Abadie-Lacourtoisie, Sophie, primary, Alexandre, Jérôme, primary, Boissier, Emilie, primary, Bourgeois, Hugues, primary, Chevalier-Place, Annick, primary, Combe, Pierre, primary, Costan, Cristina, primary, Dauba, Jérôme, primary, De Cock, Laure, primary, Desauw, Christophe, primary, Despax, Raymond, primary, Dohollou, Nadine, primary, Dubot, Coraline, primary, Fabbro, Michel, primary, Favier, Laure, primary, Floquet, Anne, primary, Follana, Philippe, primary, Tixidre, Claire Garnier, primary, Garnier, Georges, primary, Gladieff, Laurence, primary, Grenier, Julien, primary, Guillemet, Cécile, primary, Hardy-Bessard, Anne-Claire, primary, Kalbacher, Elsa, primary, Kaminsky, Marie-Christine, primary, Kurtz, Jean-Emmanuel, primary, Largillier, Rémy, primary, Lefeuvre-Plesse, Claudia, primary, Lesoin, Anne, primary, Levache, Charles-Briac, primary, L'Haridon, Tifenn, primary, Lortholary, Alain, primary, Lotz, Jean-Pierre, primary, Meunier, Jérôme, primary, Mousseau, Mirerille, primary, Mouret-Reynier, Marie-Ange, primary, Pautier, Patricia, primary, Petit, Thierry, primary, Provansal, Magali, primary, Pujade-Lauraine, Eric, primary, Raban, Nadia, primary, Ray-Coquard, Isabelle, primary, Rodrigues, Manuel, primary, Selle, Frédéric, primary, Sverdlin, Robert, primary, Tazi, Youssef, primary, You, Benoît, primary, Aktas, Bahriye, primary, Bauerschlag, Dirk Olaf, primary, Beck, Thomas, primary, Belau, Antje, primary, Bronger, Holger, primary, Buchholz, Stefan, primary, Buderath, Paul, primary, Burges, Alexander, primary, Canzler, Ulrich, primary, de Gregorio, Nikolaus, primary, Denschlag, Dominik, primary, Dieterich, Max, primary, Eichbaum, Michael, primary, El-Balat, Ahmed, primary, Emons, Günter, primary, Fasching, Peter, primary, Feisel-Schwickardi, Gabriele, primary, Frank, Matthias, primary, Friedrich, Michael, primary, Grischke, Eva-Maria, primary, Gropp-Meier, Martina, primary, Hanker, Lars, primary, Hannig, Carla, primary, Harter, Philipp, primary, Hasenburg, Annette, primary, Hellriegel, Martin, primary, Herwig, Uwe, primary, Heubner, Martin, primary, Hulde, Joachim, primary, Jackisch, Christian, primary, Kögel, Matthias, primary, Krieger, Peter, primary, Kühn, Thorsten, primary, Liebrich, Clemens, primary, Mallmann, Peter, primary, Marmé, Frederik, primary, Meier, Werner, primary, Möbus, Voker, primary, Mohamed, Omar Farag, primary, Nestle-Krämling, Carolin, primary, Neunhöffer, Tanja, primary, Oskay-Özcelik, Gülten, primary, Park-Simon, Tjoung-Won, primary, Rautenberg, Beate, primary, Rein, Daniel, primary, Ruhwedel, Wencke, primary, Runnebaum, Ingo, primary, Sagasser, Jacqueline, primary, Schmalfeldt, Barbara, primary, Schneeweiss, Andreas, primary, Schnelzer, Andreas, primary, Scholz, Heinz, primary, Sehouli, Jalid, primary, Sperfeld, Antje, primary, Steckkönig, Annette, primary, Strauß, Hans-Georg, primary, Tomé, Oliver, primary, Treustedt, Jörn, primary, Voß, Hermann, primary, Wischnik, Arthur, primary, Witteler, Ralf, primary, Wöckel, Achim, primary, Woeltjen, Hans-Heinrich, primary, Zorr, Andreas, primary, Bologna, Alessandra, primary, Colombo, Nicoletta, primary, Tognon, Germana, primary, Cinieri, Saverio, primary, Lorusso, Domenica, primary, Mosconi, Anna Maria, primary, Pignata, Sandro, primary, Savarese, Antonella, primary, Scambia, Giovanni, primary, Sorio, Roberto, primary, Zamagni, Claudio, primary, Fujiwara, Keiichi, primary, Fujiwara, Hiroyuki, primary, Kobayashi, Hiroaki, primary, Matsumoto, Takashi, primary, Nagao, Shoji, primary, Satoh, Toyomi, primary, Yonemori, Kan, primary, Yoshida, Hiroyuki, primary, Bratos, Raquel, primary, Caballero, Cristina, primary, Garica, Yolanda, primary, González-Martín, Antonio, primary, Alia, Eva Maria Guerra, primary, Hernando, Susana, primary, Herrero, Ana, primary, Lainez, Nuria, primary, Manso, Luis, primary, Martin, Cristina, primary, Murata, Eleonor, primary, Ortega, Eugenia, primary, Palacio, Isabel, primary, Poveda, Andres, primary, Romero, Ignacio, primary, Rubio, Maria Jesús, primary, and Vaur, Dominique, primary

Published
2023
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6. Supplementary Table S2 from Validation of the Clinical Use of GIScar, an Academic-developed Genomic Instability Score Predicting Sensitivity to Maintenance Olaparib for Ovarian Cancer

Author

Leman, Raphaël, primary, Muller, Etienne, primary, Legros, Angelina, primary, Goardon, Nicolas, primary, Chentli, Imène, primary, Atkinson, Alexandre, primary, Tranchant, Aurore, primary, Castera, Laurent, primary, Krieger, Sophie, primary, Ricou, Agathe, primary, Boulouard, Flavie, primary, Joly, Florence, primary, Boucly, Romain, primary, Dumont, Aurélie, primary, Basset, Noémie, primary, Coulet, Florence, primary, Chevalier, Louise-Marie, primary, Rouleau, Etienne, primary, Leitner, Katharina, primary, González-Martin, Antonio, primary, Gargiulo, Piera, primary, Lück, Hans-Joachim, primary, Genestie, Catherine, primary, Bogner, Gerhard, primary, Marth, Christian, primary, Petru, Edgar, primary, Reinthaller, Alexander, primary, Schauer, Christian, primary, Sevelda, Paul, primary, D'Hondt, Lionel, primary, Vergote, Ignace, primary, Vuylsteke, Peter, primary, Hietanen, Sakari, primary, Lindahl, Gabriel, primary, Mäenpää, Johanna, primary, Nøttrup, Trine Jakobi, primary, Puistola, Ulla, primary, Abadie-Lacourtoisie, Sophie, primary, Alexandre, Jérôme, primary, Boissier, Emilie, primary, Bourgeois, Hugues, primary, Chevalier-Place, Annick, primary, Combe, Pierre, primary, Costan, Cristina, primary, Dauba, Jérôme, primary, De Cock, Laure, primary, Desauw, Christophe, primary, Despax, Raymond, primary, Dohollou, Nadine, primary, Dubot, Coraline, primary, Fabbro, Michel, primary, Favier, Laure, primary, Floquet, Anne, primary, Follana, Philippe, primary, Tixidre, Claire Garnier, primary, Garnier, Georges, primary, Gladieff, Laurence, primary, Grenier, Julien, primary, Guillemet, Cécile, primary, Hardy-Bessard, Anne-Claire, primary, Kalbacher, Elsa, primary, Kaminsky, Marie-Christine, primary, Kurtz, Jean-Emmanuel, primary, Largillier, Rémy, primary, Lefeuvre-Plesse, Claudia, primary, Lesoin, Anne, primary, Levache, Charles-Briac, primary, L'Haridon, Tifenn, primary, Lortholary, Alain, primary, Lotz, Jean-Pierre, primary, Meunier, Jérôme, primary, Mousseau, Mirerille, primary, Mouret-Reynier, Marie-Ange, primary, Pautier, Patricia, primary, Petit, Thierry, primary, Provansal, Magali, primary, Pujade-Lauraine, Eric, primary, Raban, Nadia, primary, Ray-Coquard, Isabelle, primary, Rodrigues, Manuel, primary, Selle, Frédéric, primary, Sverdlin, Robert, primary, Tazi, Youssef, primary, You, Benoît, primary, Aktas, Bahriye, primary, Bauerschlag, Dirk Olaf, primary, Beck, Thomas, primary, Belau, Antje, primary, Bronger, Holger, primary, Buchholz, Stefan, primary, Buderath, Paul, primary, Burges, Alexander, primary, Canzler, Ulrich, primary, de Gregorio, Nikolaus, primary, Denschlag, Dominik, primary, Dieterich, Max, primary, Eichbaum, Michael, primary, El-Balat, Ahmed, primary, Emons, Günter, primary, Fasching, Peter, primary, Feisel-Schwickardi, Gabriele, primary, Frank, Matthias, primary, Friedrich, Michael, primary, Grischke, Eva-Maria, primary, Gropp-Meier, Martina, primary, Hanker, Lars, primary, Hannig, Carla, primary, Harter, Philipp, primary, Hasenburg, Annette, primary, Hellriegel, Martin, primary, Herwig, Uwe, primary, Heubner, Martin, primary, Hulde, Joachim, primary, Jackisch, Christian, primary, Kögel, Matthias, primary, Krieger, Peter, primary, Kühn, Thorsten, primary, Liebrich, Clemens, primary, Mallmann, Peter, primary, Marmé, Frederik, primary, Meier, Werner, primary, Möbus, Voker, primary, Mohamed, Omar Farag, primary, Nestle-Krämling, Carolin, primary, Neunhöffer, Tanja, primary, Oskay-Özcelik, Gülten, primary, Park-Simon, Tjoung-Won, primary, Rautenberg, Beate, primary, Rein, Daniel, primary, Ruhwedel, Wencke, primary, Runnebaum, Ingo, primary, Sagasser, Jacqueline, primary, Schmalfeldt, Barbara, primary, Schneeweiss, Andreas, primary, Schnelzer, Andreas, primary, Scholz, Heinz, primary, Sehouli, Jalid, primary, Sperfeld, Antje, primary, Steckkönig, Annette, primary, Strauß, Hans-Georg, primary, Tomé, Oliver, primary, Treustedt, Jörn, primary, Voß, Hermann, primary, Wischnik, Arthur, primary, Witteler, Ralf, primary, Wöckel, Achim, primary, Woeltjen, Hans-Heinrich, primary, Zorr, Andreas, primary, Bologna, Alessandra, primary, Colombo, Nicoletta, primary, Tognon, Germana, primary, Cinieri, Saverio, primary, Lorusso, Domenica, primary, Mosconi, Anna Maria, primary, Pignata, Sandro, primary, Savarese, Antonella, primary, Scambia, Giovanni, primary, Sorio, Roberto, primary, Zamagni, Claudio, primary, Fujiwara, Keiichi, primary, Fujiwara, Hiroyuki, primary, Kobayashi, Hiroaki, primary, Matsumoto, Takashi, primary, Nagao, Shoji, primary, Satoh, Toyomi, primary, Yonemori, Kan, primary, Yoshida, Hiroyuki, primary, Bratos, Raquel, primary, Caballero, Cristina, primary, Garica, Yolanda, primary, González-Martín, Antonio, primary, Alia, Eva Maria Guerra, primary, Hernando, Susana, primary, Herrero, Ana, primary, Lainez, Nuria, primary, Manso, Luis, primary, Martin, Cristina, primary, Murata, Eleonor, primary, Ortega, Eugenia, primary, Palacio, Isabel, primary, Poveda, Andres, primary, Romero, Ignacio, primary, Rubio, Maria Jesús, primary, and Vaur, Dominique, primary

Published
2023
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7. Data from Validation of the Clinical Use of GIScar, an Academic-developed Genomic Instability Score Predicting Sensitivity to Maintenance Olaparib for Ovarian Cancer

Author

Leman, Raphaël, primary, Muller, Etienne, primary, Legros, Angelina, primary, Goardon, Nicolas, primary, Chentli, Imène, primary, Atkinson, Alexandre, primary, Tranchant, Aurore, primary, Castera, Laurent, primary, Krieger, Sophie, primary, Ricou, Agathe, primary, Boulouard, Flavie, primary, Joly, Florence, primary, Boucly, Romain, primary, Dumont, Aurélie, primary, Basset, Noémie, primary, Coulet, Florence, primary, Chevalier, Louise-Marie, primary, Rouleau, Etienne, primary, Leitner, Katharina, primary, González-Martin, Antonio, primary, Gargiulo, Piera, primary, Lück, Hans-Joachim, primary, Genestie, Catherine, primary, Bogner, Gerhard, primary, Marth, Christian, primary, Petru, Edgar, primary, Reinthaller, Alexander, primary, Schauer, Christian, primary, Sevelda, Paul, primary, D'Hondt, Lionel, primary, Vergote, Ignace, primary, Vuylsteke, Peter, primary, Hietanen, Sakari, primary, Lindahl, Gabriel, primary, Mäenpää, Johanna, primary, Nøttrup, Trine Jakobi, primary, Puistola, Ulla, primary, Abadie-Lacourtoisie, Sophie, primary, Alexandre, Jérôme, primary, Boissier, Emilie, primary, Bourgeois, Hugues, primary, Chevalier-Place, Annick, primary, Combe, Pierre, primary, Costan, Cristina, primary, Dauba, Jérôme, primary, De Cock, Laure, primary, Desauw, Christophe, primary, Despax, Raymond, primary, Dohollou, Nadine, primary, Dubot, Coraline, primary, Fabbro, Michel, primary, Favier, Laure, primary, Floquet, Anne, primary, Follana, Philippe, primary, Tixidre, Claire Garnier, primary, Garnier, Georges, primary, Gladieff, Laurence, primary, Grenier, Julien, primary, Guillemet, Cécile, primary, Hardy-Bessard, Anne-Claire, primary, Kalbacher, Elsa, primary, Kaminsky, Marie-Christine, primary, Kurtz, Jean-Emmanuel, primary, Largillier, Rémy, primary, Lefeuvre-Plesse, Claudia, primary, Lesoin, Anne, primary, Levache, Charles-Briac, primary, L'Haridon, Tifenn, primary, Lortholary, Alain, primary, Lotz, Jean-Pierre, primary, Meunier, Jérôme, primary, Mousseau, Mirerille, primary, Mouret-Reynier, Marie-Ange, primary, Pautier, Patricia, primary, Petit, Thierry, primary, Provansal, Magali, primary, Pujade-Lauraine, Eric, primary, Raban, Nadia, primary, Ray-Coquard, Isabelle, primary, Rodrigues, Manuel, primary, Selle, Frédéric, primary, Sverdlin, Robert, primary, Tazi, Youssef, primary, You, Benoît, primary, Aktas, Bahriye, primary, Bauerschlag, Dirk Olaf, primary, Beck, Thomas, primary, Belau, Antje, primary, Bronger, Holger, primary, Buchholz, Stefan, primary, Buderath, Paul, primary, Burges, Alexander, primary, Canzler, Ulrich, primary, de Gregorio, Nikolaus, primary, Denschlag, Dominik, primary, Dieterich, Max, primary, Eichbaum, Michael, primary, El-Balat, Ahmed, primary, Emons, Günter, primary, Fasching, Peter, primary, Feisel-Schwickardi, Gabriele, primary, Frank, Matthias, primary, Friedrich, Michael, primary, Grischke, Eva-Maria, primary, Gropp-Meier, Martina, primary, Hanker, Lars, primary, Hannig, Carla, primary, Harter, Philipp, primary, Hasenburg, Annette, primary, Hellriegel, Martin, primary, Herwig, Uwe, primary, Heubner, Martin, primary, Hulde, Joachim, primary, Jackisch, Christian, primary, Kögel, Matthias, primary, Krieger, Peter, primary, Kühn, Thorsten, primary, Liebrich, Clemens, primary, Mallmann, Peter, primary, Marmé, Frederik, primary, Meier, Werner, primary, Möbus, Voker, primary, Mohamed, Omar Farag, primary, Nestle-Krämling, Carolin, primary, Neunhöffer, Tanja, primary, Oskay-Özcelik, Gülten, primary, Park-Simon, Tjoung-Won, primary, Rautenberg, Beate, primary, Rein, Daniel, primary, Ruhwedel, Wencke, primary, Runnebaum, Ingo, primary, Sagasser, Jacqueline, primary, Schmalfeldt, Barbara, primary, Schneeweiss, Andreas, primary, Schnelzer, Andreas, primary, Scholz, Heinz, primary, Sehouli, Jalid, primary, Sperfeld, Antje, primary, Steckkönig, Annette, primary, Strauß, Hans-Georg, primary, Tomé, Oliver, primary, Treustedt, Jörn, primary, Voß, Hermann, primary, Wischnik, Arthur, primary, Witteler, Ralf, primary, Wöckel, Achim, primary, Woeltjen, Hans-Heinrich, primary, Zorr, Andreas, primary, Bologna, Alessandra, primary, Colombo, Nicoletta, primary, Tognon, Germana, primary, Cinieri, Saverio, primary, Lorusso, Domenica, primary, Mosconi, Anna Maria, primary, Pignata, Sandro, primary, Savarese, Antonella, primary, Scambia, Giovanni, primary, Sorio, Roberto, primary, Zamagni, Claudio, primary, Fujiwara, Keiichi, primary, Fujiwara, Hiroyuki, primary, Kobayashi, Hiroaki, primary, Matsumoto, Takashi, primary, Nagao, Shoji, primary, Satoh, Toyomi, primary, Yonemori, Kan, primary, Yoshida, Hiroyuki, primary, Bratos, Raquel, primary, Caballero, Cristina, primary, Garica, Yolanda, primary, González-Martín, Antonio, primary, Alia, Eva Maria Guerra, primary, Hernando, Susana, primary, Herrero, Ana, primary, Lainez, Nuria, primary, Manso, Luis, primary, Martin, Cristina, primary, Murata, Eleonor, primary, Ortega, Eugenia, primary, Palacio, Isabel, primary, Poveda, Andres, primary, Romero, Ignacio, primary, Rubio, Maria Jesús, primary, and Vaur, Dominique, primary

Published
2023
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8. Supplementary Appendix S1 from Validation of the Clinical Use of GIScar, an Academic-developed Genomic Instability Score Predicting Sensitivity to Maintenance Olaparib for Ovarian Cancer

Author

Leman, Raphaël, primary, Muller, Etienne, primary, Legros, Angelina, primary, Goardon, Nicolas, primary, Chentli, Imène, primary, Atkinson, Alexandre, primary, Tranchant, Aurore, primary, Castera, Laurent, primary, Krieger, Sophie, primary, Ricou, Agathe, primary, Boulouard, Flavie, primary, Joly, Florence, primary, Boucly, Romain, primary, Dumont, Aurélie, primary, Basset, Noémie, primary, Coulet, Florence, primary, Chevalier, Louise-Marie, primary, Rouleau, Etienne, primary, Leitner, Katharina, primary, González-Martin, Antonio, primary, Gargiulo, Piera, primary, Lück, Hans-Joachim, primary, Genestie, Catherine, primary, Bogner, Gerhard, primary, Marth, Christian, primary, Petru, Edgar, primary, Reinthaller, Alexander, primary, Schauer, Christian, primary, Sevelda, Paul, primary, D'Hondt, Lionel, primary, Vergote, Ignace, primary, Vuylsteke, Peter, primary, Hietanen, Sakari, primary, Lindahl, Gabriel, primary, Mäenpää, Johanna, primary, Nøttrup, Trine Jakobi, primary, Puistola, Ulla, primary, Abadie-Lacourtoisie, Sophie, primary, Alexandre, Jérôme, primary, Boissier, Emilie, primary, Bourgeois, Hugues, primary, Chevalier-Place, Annick, primary, Combe, Pierre, primary, Costan, Cristina, primary, Dauba, Jérôme, primary, De Cock, Laure, primary, Desauw, Christophe, primary, Despax, Raymond, primary, Dohollou, Nadine, primary, Dubot, Coraline, primary, Fabbro, Michel, primary, Favier, Laure, primary, Floquet, Anne, primary, Follana, Philippe, primary, Tixidre, Claire Garnier, primary, Garnier, Georges, primary, Gladieff, Laurence, primary, Grenier, Julien, primary, Guillemet, Cécile, primary, Hardy-Bessard, Anne-Claire, primary, Kalbacher, Elsa, primary, Kaminsky, Marie-Christine, primary, Kurtz, Jean-Emmanuel, primary, Largillier, Rémy, primary, Lefeuvre-Plesse, Claudia, primary, Lesoin, Anne, primary, Levache, Charles-Briac, primary, L'Haridon, Tifenn, primary, Lortholary, Alain, primary, Lotz, Jean-Pierre, primary, Meunier, Jérôme, primary, Mousseau, Mirerille, primary, Mouret-Reynier, Marie-Ange, primary, Pautier, Patricia, primary, Petit, Thierry, primary, Provansal, Magali, primary, Pujade-Lauraine, Eric, primary, Raban, Nadia, primary, Ray-Coquard, Isabelle, primary, Rodrigues, Manuel, primary, Selle, Frédéric, primary, Sverdlin, Robert, primary, Tazi, Youssef, primary, You, Benoît, primary, Aktas, Bahriye, primary, Bauerschlag, Dirk Olaf, primary, Beck, Thomas, primary, Belau, Antje, primary, Bronger, Holger, primary, Buchholz, Stefan, primary, Buderath, Paul, primary, Burges, Alexander, primary, Canzler, Ulrich, primary, de Gregorio, Nikolaus, primary, Denschlag, Dominik, primary, Dieterich, Max, primary, Eichbaum, Michael, primary, El-Balat, Ahmed, primary, Emons, Günter, primary, Fasching, Peter, primary, Feisel-Schwickardi, Gabriele, primary, Frank, Matthias, primary, Friedrich, Michael, primary, Grischke, Eva-Maria, primary, Gropp-Meier, Martina, primary, Hanker, Lars, primary, Hannig, Carla, primary, Harter, Philipp, primary, Hasenburg, Annette, primary, Hellriegel, Martin, primary, Herwig, Uwe, primary, Heubner, Martin, primary, Hulde, Joachim, primary, Jackisch, Christian, primary, Kögel, Matthias, primary, Krieger, Peter, primary, Kühn, Thorsten, primary, Liebrich, Clemens, primary, Mallmann, Peter, primary, Marmé, Frederik, primary, Meier, Werner, primary, Möbus, Voker, primary, Mohamed, Omar Farag, primary, Nestle-Krämling, Carolin, primary, Neunhöffer, Tanja, primary, Oskay-Özcelik, Gülten, primary, Park-Simon, Tjoung-Won, primary, Rautenberg, Beate, primary, Rein, Daniel, primary, Ruhwedel, Wencke, primary, Runnebaum, Ingo, primary, Sagasser, Jacqueline, primary, Schmalfeldt, Barbara, primary, Schneeweiss, Andreas, primary, Schnelzer, Andreas, primary, Scholz, Heinz, primary, Sehouli, Jalid, primary, Sperfeld, Antje, primary, Steckkönig, Annette, primary, Strauß, Hans-Georg, primary, Tomé, Oliver, primary, Treustedt, Jörn, primary, Voß, Hermann, primary, Wischnik, Arthur, primary, Witteler, Ralf, primary, Wöckel, Achim, primary, Woeltjen, Hans-Heinrich, primary, Zorr, Andreas, primary, Bologna, Alessandra, primary, Colombo, Nicoletta, primary, Tognon, Germana, primary, Cinieri, Saverio, primary, Lorusso, Domenica, primary, Mosconi, Anna Maria, primary, Pignata, Sandro, primary, Savarese, Antonella, primary, Scambia, Giovanni, primary, Sorio, Roberto, primary, Zamagni, Claudio, primary, Fujiwara, Keiichi, primary, Fujiwara, Hiroyuki, primary, Kobayashi, Hiroaki, primary, Matsumoto, Takashi, primary, Nagao, Shoji, primary, Satoh, Toyomi, primary, Yonemori, Kan, primary, Yoshida, Hiroyuki, primary, Bratos, Raquel, primary, Caballero, Cristina, primary, Garica, Yolanda, primary, González-Martín, Antonio, primary, Alia, Eva Maria Guerra, primary, Hernando, Susana, primary, Herrero, Ana, primary, Lainez, Nuria, primary, Manso, Luis, primary, Martin, Cristina, primary, Murata, Eleonor, primary, Ortega, Eugenia, primary, Palacio, Isabel, primary, Poveda, Andres, primary, Romero, Ignacio, primary, Rubio, Maria Jesús, primary, and Vaur, Dominique, primary

Published
2023
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9. The least crowded path: where to start?

Author

De Cock, Laure, primary, Treille de Grandsaigne, Guillaume, additional, De Doncker, Philippe, additional, Vandeviver, Christophe, additional, Verstokt, Steven, additional, and Van de Weghe, Nico, additional

Published
2023
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11. Endometrioid Carcinoma of the Ovary

Author

de Cock, Laure, Averous, Gerlinde, Barthélémy, Philippe, Kurtz, Jean-Emmanuel, Pujade-Lauraine, Eric, editor, Ray-Coquard, Isabelle, editor, and Lécuru, Fabrice, editor

Published
2017
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12. Construction of an Orthophoto-Draped 3D Model and Classification of Intertidal Habitats Using UAV Imagery in the Galapagos Archipelago

Author

De Cock, Andrée, primary, Vandeputte, Ruth, additional, Bruneel, Stijn, additional, De Cock, Laure, additional, Liu, Xingzhen, additional, Bermúdez, Rafael, additional, Vanhaeren, Nina, additional, De Wit, Bart, additional, Ochoa, Daniel, additional, De Maeyer, Philippe, additional, Gautama, Sidharta, additional, and Goethals, Peter, additional

Published
2023
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14. The least crowded path: where to start?

Author

De Cock, Laure, Treille De Grandsaigne, Guillaume, De Doncker, Philippe, Vandeviver, Christophe, Verstokt, Steven, Van de Weghe, Nico, De Cock, Laure, Treille De Grandsaigne, Guillaume, De Doncker, Philippe, Vandeviver, Christophe, Verstokt, Steven, and Van de Weghe, Nico

Abstract

By 2050 68% of the world’s population will live in urban areas, but while our cities become more crowded, they also become smarter. This means that we will be able to use smart technologies to tackle the challenges of urbanization. One example of these smart technologies are crowd tracking sensors, such as cameras, cell phone traffic monitoring, GPS, WiFi, Bluetooth and radio frequency signals. More and more cities invest in these sensors to monitor pedestrian flows for economic purposes (e.g. the VLOED project in the cities of Ghent and Bruges, Belgium1), but also for safety during events (e.g. during the tour of Flanders2). This last one in particular is very important as overcrowding can lead to hazardous situations, the recent tragedy during the Halloween festivities in Seoul reminded us of that 3. Imagine that the people in Seoul had accurate information on the crowdedness that night, that their route planner would take this into account and would have guided them along the least crowded route, could the crowd crush have been avoided this way? These are the fundamental questions that this research project would like to address in the upcoming years., info:eu-repo/semantics/inPress

Published
2023

16. Application of the Point-Descriptor-Precedence representation for micro-scale traffic analysis at a non-signalized T-junction.

Author

Qayyum, Amna, De Baets, Bernard, De Cock, Laure, Witlox, Frank, De Tré, Guy, and Van de Weghe, Nico

Subjects
TRAFFIC monitoring, INFRASTRUCTURE (Economics), OCEANOGRAPHIC submersibles, TRAFFIC congestion, MICRO air vehicles, ROAD interchanges & intersections, CHOICE of transportation, TRAFFIC safety
Abstract

An intersection of two or more roads poses a risk for potential conflicts among vehicles. Often the reasons triggering such conflicts are not clear, as they might be too subtle for the human eye. The environment also plays a part in understanding where, when, and why a particular vehicle interaction has occurred in a certain way. Therefore, it is of paramount importance to dive deeper into the vehicle interaction at a micro-scale within the embedded geographical environment, particularly at the intersections. This would in turn assist in evaluating the association of vehicle interactions with conflict risks and near-miss accidents. Moreover, detection of such micro traffic interactions could also be used to improvise the complexity of the already established transport infrastructure. Conversely, traffic at intersections has been explored mainly for flow estimation, capacity and width measurements, and traffic congestion, etc., whereas the detection of micro-scale traffic interactions at intersections remains relatively under-explored. In this paper, we present a novel approach to retrieve and represent micro-scale traffic movement interactions at a non-signalized T-junction by extending a recently introduced qualitative spatiotemporal Point-Descriptor-Precedence (PDP) representation. We study how the PDP representation offers a fine solution to study the interaction of traffic flows at intersections. This permits tracking the micro-movement of vehicles in much finer detail, which is used later to retrieve movement patterns from a motion dataset. Unlike conventional approaches, we start our approach with the actual movements before modeling the static intersection environment. Additionally, with the aid of illustrative examples, we discuss how the length, width, and speed of the vehicles can be exploited in our approach to detect specific patterns more accurately. Additionally, we address the potential benefits of our approach for traffic safety assessment and how it can be extended to a network of intersections using different transport modes. [ABSTRACT FROM AUTHOR]

Published
2023
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19. Smart Crowd Management: The Data, the Users and the Solution (Short Paper)

Author

Laure De Cock and Steven Verstockt and Christophe Vandeviver and Nico Van de Weghe, De Cock, Laure, Verstockt, Steven, Vandeviver, Christophe, Van de Weghe, Nico, Laure De Cock and Steven Verstockt and Christophe Vandeviver and Nico Van de Weghe, De Cock, Laure, Verstockt, Steven, Vandeviver, Christophe, and Van de Weghe, Nico

Abstract

This research project is situated in the domain of smart crowd management, a domain that is gaining importance because of the challenges that arise from urbanization, but also the opportunities that come with smart cities. While our cities become more crowded every day, they also become smarter, for example by employing pedestrian tracking sensors. However, the datasets that are generated by these sensors do not allow smart crowd management yet, because they are sparse and not linked to the perception of the crowd. This research will tackle these issues in three steps. First, pedestrian counts will be estimated on streets that have no tracking data by use of deep learning and space syntax data. Next, the perception of crowdedness within the crowd will be linked to the objective pedestrian counts by conducting two user studies, and finally, the resulting subjective pedestrian counts will be used as weights for a routing algorithm. The last step has already been developed as a proof of concept. The routing algorithm, that uses partly simulated data and partly real-time tracking data, has been embedded in a webtool to show stakeholders the potential and goal of this innovative project.

Published
2022
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21. Linking the cognitive load induced by route instruction types and building configuration during indoor route guidance, a usability study in VR.

Author

De Cock, Laure, Van de Weghe, Nico, Ooms, Kristien, Saenen, Ignace, Van Kets, Niels, Van Wallendael, Glenn, Lambert, Peter, and De Maeyer, Philippe

Subjects
*COGNITIVE load, *GAZE, *ARCHITECTURAL philosophy, *EYE tracking, *SPACE (Architecture)
Abstract

Every route instruction type (e.g. map, symbol, photo) induces a specific cognitive load. However, when these types are used at different decision points in a building, the building configuration of these points also influences the induced cognitive load. Therefore, the process of route guidance results in an interaction between the instruction type and the decision point, which determines the induced cognitive load. One way of reducing cognitive load during route guidance is by using adaptive systems that show specific route instruction types at specific decision points. Therefore, in this VR experiment, the usability of such an adaptive indoor route guidance system is tested by tracking the wayfinding and gaze behavior of the users. First, the difference in wayfinding and gaze behavior between all route instruction types is compared. Next, the building configuration at the decision points is quantified through the architectural theory of space syntax, and the correlation with the wayfinding and gaze behavior is determined. Our findings indicate that adapting the route instruction type does make a difference for the user. [ABSTRACT FROM AUTHOR]

Published
2022
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23. Identifying what constitutes complexity perception of decision points during indoor route guidance

Author

De Cock, Laure, Ooms, Kristien, Van de Weghe, Nico, Vanhaeren, Nina, Pauwels, Pieter, De Maeyer, Philippe, De Cock, Laure, Ooms, Kristien, Van de Weghe, Nico, Vanhaeren, Nina, Pauwels, Pieter, and De Maeyer, Philippe

Abstract

To be able to design indoor wayfinding systems that adhere better to the needs of the users, user perception on complexity needs to be examined and linked to user characteristics and decision point characteristics. To identify how these characteristics influence perception, an online survey is executed in which participants had to indicate how complex they found a decision point, while interpreting a route instruction. The results show that complexity ratings depend both on user characteristics and on the function of the decision point. Decision points to change levels, start or end a route and to take turns each received significantly different complexity ratings. Isovist and visibility graph analysis characteristics of these decision points show that the first two actions were perceived as more complex when they took place in a narrow hallway, while the third action was perceived as more complex in a convex space. The results of this study can be used in the design of an adaptive wayfinding system that adapts the route instructions to the perceived decision point complexity. This adaptation will adhere better to the needs of the users compared to an adaptation based on solely theoretical complexity.

Published
2021

24. Adaptive mobile indoor route guidance, the next big step

Author

De Cock, Laure, Van de Weghe, Nico, Ooms, Kristien, De Maeyer, Philippe, Basiri, Anahid, Gartner, Georg, and Huang, Haosheng

Subjects
route instructions, Adaptive mobile route guidance, Earth and Environmental Sciences, space syntax, eye tracking
Abstract

Not all those who wander are lost… but when you are lost, there is a high chance that you are inside a building as we spend 90% of our time indoors. As opposed to outdoors, mobile indoor route guidance is not yet common practice, while the indoor environment can be far more complex than the outdoor one. As indoor navigation can be very challenging, we need supportive navigation systems that can ease the process. To this end, adaptive mobile indoor route guidance systems are being developed, which adapt the type of route instruction to the building configuration. This way, the right amount of information is provided at the right time and place. This work studies this type of smart route communication, and more specifically, its influence on the user. An online survey, a field experiment and a VR experiment were conducted to find out how building configuration can be quantified by the space syntax theory, which route instruction types should be used at which decision points and how this affects the performance, cognitive map, cognitive load and perception of the users. Prototypes were developed and eye tracking and position tracking were used to build the bridge between indoor route guidance technologies in smart buildings on the one hand, and the users of those smart buildings on the other hand. The results of this research can be translated into practical guidelines or implications for the design of adaptive mobile indoor route guidance systems, because this work has shown this is the way to go.

Published
2021

25. On the detection of moving objects in laser scan data : the highest point of interest (HPOI) method

Author

De Sloover, Lars, De Wit, Bart, Van Ackere, Samuel, De Cock, Laure, Van de Weghe, Nico, Basiri, A., Gartner, G., and Huang, Haosheng

Subjects
LiDAR, spatiotemporal data, Earth and Environmental Sciences, point cloud processing, trajectory data mining, visual analytics, object tracking
Abstract

There are many sensors and measuring methods for detecting moving objects, each with its advantages and disadvantages. In active tracking methods (based on e.g. GNSS technology), the user is informed and actively participates, for instance by installing a smartphone app. These methods typically have the problem that only a limited part of the moving objects is tracked. In passive tracking methods (e.g. video recognition), the moving person is not informed of being subject to the data acquisition. These methods are typically privacy-invasive. Many techniques also require complex calculations to transform the raw data into accurate and meaningful trajectories of moving objects. However, such trajectories usually require only one point of the moving object at any given time. If the moving object is a person walking or cycling, then such a point of interest is the highest point of the person's head (i.e. “highest point of interest” or HPOI). Detecting this point typically demands computationally intensive mining of the trajectory data, for example using deep learning approaches in video recognition. We present the use of static LiDAR technology, a well-established, precise and anonymous 3D data acquisition method, for this use case. By continuously (i.e. at a high temporal rate) laser scanning an environment in which pedestrians or cyclists move, multiple epochs of point clouds are obtained. A robust vertical threshold filtering allows reducing aforementioned high-dimensional, bulky point cloud data to easily visualisable and interpretable trajectories of HPOIs.

Published
2021

28. Taking a closer look at indoor route guidance; usability study to compare an adapted and non-adapted mobile prototype.

Author

De Cock, Laure, Van de Weghe, Nico, Ooms, Kristien, Vanhaeren, Nina, Ridolfi, Matteo, De Poorter, Eli, and De Maeyer, Philippe

Subjects
*EYE tracking, *COGNITIVE load, *PROTOTYPES, *WAYFINDING, *INTERNET surveys
Abstract

As indoor wayfinding can be very challenging, adapted systems, which adapt the route instruction type, are being developed to facilitate more supportive indoor route guidance. In this study, such a system has been developed based on the results of an online survey. This adapted system was compared with a non-adapted system by use of eye tracking, position tracking, an orientation test and a questionnaire. The results revealed that using symbols instead of photos reduced the imposed cognitive load, while using 3D-simulations instead of photos improved the environmental awareness. This resulted in less wayfinding errors with the adapted system, compared to the non-adapted system. Therefore, the present study provides additional evidence on the benefits of adapted systems for indoor route guidance. [ABSTRACT FROM AUTHOR]

Published
2022
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39. Indoor view graph: A model to capture route and configurational information

Author

Hamzei, Ehsan, De Cock, Laure, Tomko, Martin, Van de Weghe, Nico, and Winter, Stephan

Abstract

This paper presents a graph model that simultaneously stores route and configurational information about indoor spaces. Existing indoor information models either capture route information to compute shortest paths and to generate route descriptions (i.e., answering how-to-get-to questions), or they store configurational information about objects and places and their spatial relationships to enable spatial querying and inference (i.e., answering where-questions). Consequently, multiple representations of an indoor environment must be stored in information systems to address the various information needs of their users. In this paper, we propose a graph that can capture both configurational and route information in a unified manner. The graph is the dual representation of connected lines of sight, or views. Views can represent continuous movement in an indoor environment, and at the same time, the visible configurational information of each view can be explicitly captured. In this paper, we discuss the conceptual design of the model and an automatic approach to derive the view graph from floorplans. Finally, we demonstrate the capabilities of our model in performing different tasks such as calculating shortest paths, generating route descriptions, and deriving place graphs.

Published
2024
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40. Living after non-epithelial ovarian cancer: Chronic fatigue, quality of life and long term side effects of chemotherapy – Vivrovaire Rare Tumors

Author

Joly, Florence, primary, Ahmed-Lecheheb, Djihane, primary, la motte rouge, de, primary, de Cock, Laure, primary, ['nadeau'], Laure, primary, ['Pomel'], Laure, primary, Kalbacher, Elsa, primary, ['provansal'], Elsa, primary, ['BERTON-RIGAUD'], Elsa, primary, Eric, Pujade-Lauraine, primary, Rousset-Jablonski, Christine, primary, ['Isabelle'], Christine, primary, and Pautier, Patricia, primary

Published
2018
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41. The reproducibility of SfM algorithms to produce detailed Digital Surface Models: the example of PhotoScan applied to a high-alpine rock glacier.

Author

Hendrickx, Hanne, Vivero, Sebastián, De Cock, Laure, De Wit, Bart, De Maeyer, Philippe, Lambiel, Christophe, Delaloye, Reynald, Nyssen, Jan, and Frankl, Amaury

Subjects
ROCK glaciers, DIGITAL elevation models, DRONE aircraft, COMPUTER vision, STANDARD deviations
Abstract

In geomorphology, PhotoScan is a software that is used to produce Digital Surface Models (DSMs). It constructs 3D environments from 2D imagery (often taken by Unmanned Aerial Vehicles (UAV)) based on Structure-from-Motion (SfM) and Multi-View Stereo (MVS) principles. However, unpublished computer-vision algorithms used, contain random elements which can affect the accuracy of the outputs. For this letter, ten model runs with identical inputs were performed on UAV imagery of a rock glacier to analyse the magnitude of the variation between the different model outputs. This variation was quantified calculating the standard deviation of each cell value in the respective DSMs and derivatives (curvature). Places with steep slope gradients have considerably more DSM variation (up to 10 cm) but stay within the range of the model’s accuracy (10 vertical cm) for 88 - 96% of the area. The edges of the model also show a larger variability (0.10 - 3 m), related to a lower number of overlapping images. These results should be accounted for when performing a geomorphological research at centimetre scale using PhotoScan, especially in areas with a complex relief. Using medium-quality runs, additional oblique viewpoints and respecting a minimum of five overlapping images can minimize the software’s variations. [ABSTRACT FROM AUTHOR]

Published
2019
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43. Patterns of care and outcome for patients with recurrent glioblastoma (GB).

Author

De Cock, Laure, primary, Sala, Quentin, additional, Barrie, Maryline, additional, Boucard, Celine, additional, Terciolo, Alexia, additional, Graillon, Thomas, additional, Metellus, Philippe, additional, Autran, Didier, additional, Tabouret, Emeline, additional, Padovani, Laetitia, additional, Figarella-Branger, Dominique, additional, Dufour, Henry, additional, and Chinot, Olivier L., additional

Published
2014
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45. Living after non-epithelial ovarian cancer: Chronic fatigue, quality of life and long term side effects of chemotherapy - Vivrovaire Rare Tumors.

Author

Joly, Florence, Ahmed-Lecheheb, Djihane, Orfeuvre, Hubert, Alexandre, Jérôme, De La Motte Rouge, Thibaut, De Cock, Laure, Nadeau, Cédric, Pomel, Christophe, Kalbacher, Elsa, Savoye, Aude-Marie, Provansal, Magali, Berton-Rigaud, Dominique, Lortholary, Alain, Gompel, Anne, Pujade-lauraine, Eric, Rousset-Jablonski, Christine, Grellard, Jean-Michel, Floquet, Anne, Pautier, Patricia, and Ray-Coquard, Isabelle

Abstract

Context and hypothesis The standard of treatment of Ovarian Germ Cell (OGCT) and Sex Cord Stromal (OSCST) Tumors mainly involves conservative surgery combined with chemotherapy (CT) [Bleomycin, Etoposide and Cisplatinum (BEP)] depending on the stage and the prognostic factors, by analogy with CT regimen prescribed for testicular cancers. As reported in testicular cancers survivors, CT may induce long term side effects (in particular, cardiovascular and pulmonary disorders, neurotoxicity and infertility), with a negative impact on Quality of Life (QoL), and social and professional insertion. These effects have not been evaluated among OGCT and OSCST survivors. A large French multicenter case-control study is ongoing to explore the needs and the QoL of OGCT and OSCST survivors treated with BEP, and to identify long term side effects of CT. Objectives This study is conducted in 2 steps aiming to assess i) chronic fatigue and QoL and ii) long term side effects of CT with a particular focus on cardiovascular and pulmonary disorders, and neurotoxicity among OGCT and OSCST survivors. Methods Using self-reported questionnaires, chronic fatigue and several domains of QoL are compared between 160 OGCT and OSCST survivors (cancer free ≥ 2 years after treatment) treated with surgery and BEP and 2 control groups (160 OGCT and OSCST survivors treated with surgery alone and 160 age matched healthy women). Medical data are collected from patient records. In a second step, long term side effects of BEP are assessed by specific medical examination among the 2 groups of patients (70 patients per group). Patients have several specialized medical tests: 1) Cardiological evaluation: a) clinical examination, b) Non-invasive cardiological tests to explore atherosclerosis and coronary heart disease (endothelial dysfunction): Systolic index of the lower and upper limbs, electrocardiogram, echocardiography, measurements of carotid intima media thickness, c) Specific cardiac biological tests. 2) Pulmonary test: Pulmonary function testing. 3) Hearing test: Audiogram. 4) Blood tests: to explore the metabolic and hormonal dysfunctions. Patients are included by the oncologists of the GINECO (Groupe d'Investigateurs Nationaux pour l'Étude des Cancers Ovariens et du sein) from the French network TMRO (Tumeurs Malignes Rares de l'Ovaire). Healthy women are recruited from the association Seintinelles. Expected results This first national multidisciplinary study is the opportunity to evaluate the impact of long-term side effects of CT on chronic fatigue and QoL among a large population of rare ovarian cancer survivors. Expected results will provide information about concerns and needs of these patients at distance from treatment. For the first time, this study will provide important data on potential long term physical side effects of CT, especially cardiovascular and pulmonary disorders, and neurotoxicity using rigorous measurements methods. Based on our results, intervention strategies could be proposed to improve the management of these patients during treatments and at long-term follow-up. Our expected findings may be helpful for modifying strategies for care and post treatment modalities of follow-up. The identification of long-term side effects contributes in the development of recommendations regarding practices and CT regimens in order to reduce toxicity while maintaining efficacy. [ABSTRACT FROM AUTHOR]

Published
2018

46. [Expectations of patients with ovarian cancer. Results of the European investigation EXPRESSION III in French patients from GINECO group].

Author

De Cock L, Kieffer A, Kurtz JE, Joly F, and Weber B

Subjects
Adult, Aged, Aged, 80 and over, Antineoplastic Agents adverse effects, Antineoplastic Agents therapeutic use, Chemotherapy, Adjuvant adverse effects, Fatigue epidemiology, Female, France epidemiology, Gastrointestinal Diseases epidemiology, Health Surveys, Humans, Middle Aged, Neuralgia epidemiology, Ovarian Neoplasms pathology, Pain epidemiology, Physician's Role, Physician-Patient Relations, Prognosis, Ovarian Neoplasms drug therapy, Ovarian Neoplasms surgery, Patient Education as Topic standards
Abstract

EXPRESSION III was designed to evaluate the information, needs and expectations of patients with ovarian cancer in different European countries. This abstract focuses on specific results from French OC patients. Two hundred and fifty-seven patients filled a 27-item questionnaire during a medical visit. Median age range was 63 years (26-89). Nearly all the patients (94 %) had primary surgery and adjuvant chemotherapy (95 %), 50 % had recurrent disease. At the time of the survey, 85 % reported symptoms: fatigue: 88 %, neuropathy: 55 %, nausea/vomiting: 40 %, pain: 39 %. Patients wished for non-alopeciant treatment (52 %) and a better management of fatigue (42 %). Eighty percent of the patients knew their chemotherapy but 60 % ignored their initial disease stage and how to find more information for treatment choice (91 %). Most patients (92 %) preferred to get it directly from their physician. Sixty-six percent expressed the need for clear information about their life expectancy. Still 21 % patients did not want to get negative information. French patients need for more support and clearer information on their disease. Direct information from their physician remains the mainstay of communication., (Copyright © 2015 Société Française du Cancer. Published by Elsevier Masson SAS. All rights reserved.)

Published
2015
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