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1. Quantitatively Designing Porous Copper Current Collectors for Lithium Metal Anodes

Author

Lu, B, Olivera, E, Scharf, J, Chouchane, M, Fang, C, Ceja, M, Pangilinan, LE, Zheng, S, Dawson, A, Cheng, D, Bao, W, Arcelus, O, Franco, AA, Li, X, Tolbert, SH, and Meng, YS

Subjects
lithium metal anode, porous copper, three-dimensional current collector, tortuosity factor, X-ray microscale computed tomography, titration gas chromatography
Abstract

Lithium metal has been an attractive candidate as a next-generation anode material. Despite its popularity, stability issues of lithium in the liquid electrolyte and the formation of lithium whiskers have kept it from practical use. Three-dimensional (3D) current collectors have been proposed as an effective method to mitigate whisker growth. Although extensive research has been done, the effects of three key parameters of the 3D current collectors, namely, the surface area, the tortuosity factor, and the surface chemistry, on the performance of lithium metal batteries remain elusive. Herein, we quantitatively studied the role of these three parameters by synthesizing four types of porous copper networks with different sizes of well-structured microchannels. X-ray microscale computed tomography (micro-CT) allowed us to assess the surface area, the pore size, and the tortuosity factor of the porous copper materials. A metallic Zn coating was also applied to study the influence of surface chemistry on the performance of the 3D current collectors. The effects of these parameters on the performance were studied in detail through scanning electron microscopy (SEM) and titration gas chromatography (TGC). Stochastic simulations further allowed us to interpret the role of the tortuosity factor in lithiation. The optimal range of the key parameters is thereby found for the porous coppers and their performance is predicted. Using these parameters to inform the design of porous copper anodes for Li deposition, Coulombic efficiencies (CEs) of up to 99.63% are achieved, thus paving the way for the design of effective 3D current collector systems.

Published
2021

2. Involvement of astrocyte metabolic coupling in Tourette syndrome pathogenesis

Author

Mathews, CA, de Leeuw, C, Goudriaan, A, Smit, AB, Yu, D, Scharf, J, Verheijen, MHG, and Posthuma, D

Subjects
gene‐set analysis, pathway analysis, GWAS, glia, Tourette syndrome
Abstract

Tourette Syndrome is a heritable neurodevelopmental disorder whose pathophysiology remainsunknown. Recent genomewide association studies suggest that it is a polygenic disorderinfluenced by many genes of small effect. We tested whether these genes cluster in cellularfunction by applying gene‐set analyses using expert curated sets of brain‐expressed genes in thecurrent largest available Tourette Syndrome genome‐wide association dataset, involving 1285cases and 4964 controls. The gene‐sets included specific synaptic, astrocytic, oliogodendrocyteand microglial functions. We report association of Tourette Syndrome with a set of genesinvolved in astrocyte function, specifically in astrocyte carbohydrate metabolism. Thisassociation is driven primarily by a subset of 33 genes involved in glycolysis and glutamatemetabolism through which astrocytes support synaptic function. Our results indicate for the firsttime that the process of astrocyte‐neuron metabolic coupling may be an important contributorto Tourette Syndrome pathogenesis.

Published
2023

3. SUCCOR Nodes: May Sentinel Node Biopsy Determine the Need for Adjuvant Treatment?

Author

Berasaluce Gomez, A, Martin-Calvo, N, Boria, F, Manzour, N, Chacon, E, Bizzarri, N, Chiva, L, Martinez, A, Quesada, A, Kucukmetin, A, Vazquez, A, Mandic, A, Casajuana, A, Kavallaris, A, Fagotti, A, Perrone, A, Ferrero, A, Lekuona, A, Uppin, A, Stepanyan, A, Chiofalo, B, Morillas, B, Tauste, C, Andrade, C, Mom, C, Brucker, C, Sarac, C, Vazquez-Vicente, D, Cibula, D, Querleu, D, Erasun, D, Kaidarova, D, Tsolakidis, D, Haidopoulos, D, Golub, D, Bonci, E, Aksahin, E, Goncalves, E, Moratalla, E, Karaman, E, Myriokefalitaki, E, Ghezzi, F, Narducci, F, Roldan, F, Raspagliesi, F, Goffin, F, Grandjean, F, Guyon, F, Demirkiran, F, Fiol, G, Chakalova, G, Mancebo, G, Vorgias, G, Gebauer, G, Meili, G, Hernandez-Cortes, G, Bogani, G, Cordeiro, G, Vujic, G, Mendinhos, G, Trum, H, Bonsang-Kitzis, H, Haller, H, Vergote, I, Zapardiel, I, Aluloski, I, Berlev, I, Pete, I, Kalogiannidis, I, Kotsopoulos, I, Yezhova, I, Diez, J, Feron, J, Scharf, J, Beltman, J, Haesen, J, Ponce, J, Cea, J, Minguez, J, Garcia, J, Arevalo-Serrano, J, Gilabert, J, Alcazar, J, Kukk, K, Galaal, K, Cardenas, L, Pirtea, L, Mereu, L, Anchora, L, Dostalek, L, Klasa, L, Pakizimre, M, Undurraga, M, Jedryka, M, Bernardino, M, Alonso-Espias, M, Martin-Salamanca, M, Cuadra, M, Tavares, M, Malzoni, M, Fehr, M, Luyckx, M, Lanner, M, Leht, M, Meydanli, M, Mallmann, M, Capilna, M, Redecha, M, Mitrovic, M, Maenpaa, M, Guijarro, M, Abdalla, N, Gomes, N, Povolotskaya, N, Badzakov, N, Arencibia, O, Akbayir, O, Cavalle, P, Zusterzeel, P, Rolland, P, Coronado, P, Bharathan, R, Saaron, R, Sousa, R, Fruscio, R, Jach, R, Poka, R, Barrachina, R, Domingo, S, Morales, S, Akgol, S, Fernandez-Gonzalez, S, Aliyev, S, Herrero, S, Fidalgo, S, Prader, S, Smrkolj, S, Petousis, S, Kovachev, S, Turan, T, Toptas, T, Castellanos, T, da Costa, T, Marina, T, Zanagnolo, V, Martin, V, Gonzalez, V, Student, V, Sukhin, V, Berasaluce Gomez A., Martin-Calvo N., Boria F., Manzour N., Chacon E., Bizzarri N., Chiva L., Martinez A., Quesada A., Kucukmetin A., Vazquez A., Mandic A., Casajuana A., Kavallaris A., Fagotti A., Perrone A., Ferrero A., Lekuona A., Uppin A., Stepanyan A., Chiofalo B., Morillas B., Tauste C., Andrade C., Mom C., Brucker C., Sarac C. -P., Vazquez-Vicente D., Cibula D., Querleu D., Erasun D., Kaidarova D., Tsolakidis D., Haidopoulos D., Golub D., Bonci E. -A., Aksahin E., Goncalves E., Moratalla E., Karaman E., Myriokefalitaki E., Ghezzi F., Narducci F., Roldan F., Raspagliesi F., Goffin F., Grandjean F., Guyon F., Demirkiran F., Fiol G., Chakalova G., Mancebo G., Vorgias G., Gebauer G., Meili G., Hernandez-Cortes G., Bogani G., Cordeiro G., Vujic G., Mendinhos G., Trum H., Bonsang-Kitzis H., Haller H., Vergote I., Zapardiel I., Aluloski I., Berlev I., Pete I., Kalogiannidis I., Kotsopoulos I., Yezhova I., Diez J., Feron J. G., Scharf J. -P., Beltman J., Haesen J., Ponce J., Cea J., Minguez J. A., Garcia J., Arevalo-Serrano J., Gilabert J., Alcazar J. L., Kukk K., Galaal K., Cardenas L., Pirtea L., Mereu L., Anchora L. P., Dostalek L., Klasa L., PakizImre M., Undurraga M., Jedryka M., Bernardino M., Alonso-Espias M., Martin-Salamanca M. B., Cuadra M., Tavares M., Malzoni M., Fehr M., Luyckx M., Lanner M., Leht M., Meydanli M., Mallmann M., Capilna M., Redecha M., Mitrovic M., Maenpaa M. M., Guijarro M., Abdalla N., Gomes N., Povolotskaya N., Badzakov N., Arencibia O., Akbayir O., Cavalle P., Zusterzeel P., Rolland P., Coronado P., Bharathan R., Saaron R., Sousa R., Fruscio R., Jach R., Poka R., Barrachina R., Domingo S., Morales S., Akgol S., Fernandez-Gonzalez S., Aliyev S., Herrero S., Fidalgo S., Prader S., Smrkolj S., Petousis S., Kovachev S., Turan T., Toptas T., Castellanos T., da Costa T. D., Marina T., Zanagnolo V., Martin V., Gonzalez V., Student V., Sukhin V., Berasaluce Gomez, A, Martin-Calvo, N, Boria, F, Manzour, N, Chacon, E, Bizzarri, N, Chiva, L, Martinez, A, Quesada, A, Kucukmetin, A, Vazquez, A, Mandic, A, Casajuana, A, Kavallaris, A, Fagotti, A, Perrone, A, Ferrero, A, Lekuona, A, Uppin, A, Stepanyan, A, Chiofalo, B, Morillas, B, Tauste, C, Andrade, C, Mom, C, Brucker, C, Sarac, C, Vazquez-Vicente, D, Cibula, D, Querleu, D, Erasun, D, Kaidarova, D, Tsolakidis, D, Haidopoulos, D, Golub, D, Bonci, E, Aksahin, E, Goncalves, E, Moratalla, E, Karaman, E, Myriokefalitaki, E, Ghezzi, F, Narducci, F, Roldan, F, Raspagliesi, F, Goffin, F, Grandjean, F, Guyon, F, Demirkiran, F, Fiol, G, Chakalova, G, Mancebo, G, Vorgias, G, Gebauer, G, Meili, G, Hernandez-Cortes, G, Bogani, G, Cordeiro, G, Vujic, G, Mendinhos, G, Trum, H, Bonsang-Kitzis, H, Haller, H, Vergote, I, Zapardiel, I, Aluloski, I, Berlev, I, Pete, I, Kalogiannidis, I, Kotsopoulos, I, Yezhova, I, Diez, J, Feron, J, Scharf, J, Beltman, J, Haesen, J, Ponce, J, Cea, J, Minguez, J, Garcia, J, Arevalo-Serrano, J, Gilabert, J, Alcazar, J, Kukk, K, Galaal, K, Cardenas, L, Pirtea, L, Mereu, L, Anchora, L, Dostalek, L, Klasa, L, Pakizimre, M, Undurraga, M, Jedryka, M, Bernardino, M, Alonso-Espias, M, Martin-Salamanca, M, Cuadra, M, Tavares, M, Malzoni, M, Fehr, M, Luyckx, M, Lanner, M, Leht, M, Meydanli, M, Mallmann, M, Capilna, M, Redecha, M, Mitrovic, M, Maenpaa, M, Guijarro, M, Abdalla, N, Gomes, N, Povolotskaya, N, Badzakov, N, Arencibia, O, Akbayir, O, Cavalle, P, Zusterzeel, P, Rolland, P, Coronado, P, Bharathan, R, Saaron, R, Sousa, R, Fruscio, R, Jach, R, Poka, R, Barrachina, R, Domingo, S, Morales, S, Akgol, S, Fernandez-Gonzalez, S, Aliyev, S, Herrero, S, Fidalgo, S, Prader, S, Smrkolj, S, Petousis, S, Kovachev, S, Turan, T, Toptas, T, Castellanos, T, da Costa, T, Marina, T, Zanagnolo, V, Martin, V, Gonzalez, V, Student, V, Sukhin, V, Berasaluce Gomez A., Martin-Calvo N., Boria F., Manzour N., Chacon E., Bizzarri N., Chiva L., Martinez A., Quesada A., Kucukmetin A., Vazquez A., Mandic A., Casajuana A., Kavallaris A., Fagotti A., Perrone A., Ferrero A., Lekuona A., Uppin A., Stepanyan A., Chiofalo B., Morillas B., Tauste C., Andrade C., Mom C., Brucker C., Sarac C. -P., Vazquez-Vicente D., Cibula D., Querleu D., Erasun D., Kaidarova D., Tsolakidis D., Haidopoulos D., Golub D., Bonci E. -A., Aksahin E., Goncalves E., Moratalla E., Karaman E., Myriokefalitaki E., Ghezzi F., Narducci F., Roldan F., Raspagliesi F., Goffin F., Grandjean F., Guyon F., Demirkiran F., Fiol G., Chakalova G., Mancebo G., Vorgias G., Gebauer G., Meili G., Hernandez-Cortes G., Bogani G., Cordeiro G., Vujic G., Mendinhos G., Trum H., Bonsang-Kitzis H., Haller H., Vergote I., Zapardiel I., Aluloski I., Berlev I., Pete I., Kalogiannidis I., Kotsopoulos I., Yezhova I., Diez J., Feron J. G., Scharf J. -P., Beltman J., Haesen J., Ponce J., Cea J., Minguez J. A., Garcia J., Arevalo-Serrano J., Gilabert J., Alcazar J. L., Kukk K., Galaal K., Cardenas L., Pirtea L., Mereu L., Anchora L. P., Dostalek L., Klasa L., PakizImre M., Undurraga M., Jedryka M., Bernardino M., Alonso-Espias M., Martin-Salamanca M. B., Cuadra M., Tavares M., Malzoni M., Fehr M., Luyckx M., Lanner M., Leht M., Meydanli M., Mallmann M., Capilna M., Redecha M., Mitrovic M., Maenpaa M. M., Guijarro M., Abdalla N., Gomes N., Povolotskaya N., Badzakov N., Arencibia O., Akbayir O., Cavalle P., Zusterzeel P., Rolland P., Coronado P., Bharathan R., Saaron R., Sousa R., Fruscio R., Jach R., Poka R., Barrachina R., Domingo S., Morales S., Akgol S., Fernandez-Gonzalez S., Aliyev S., Herrero S., Fidalgo S., Prader S., Smrkolj S., Petousis S., Kovachev S., Turan T., Toptas T., Castellanos T., da Costa T. D., Marina T., Zanagnolo V., Martin V., Gonzalez V., Student V., and Sukhin V.

Abstract

Background: The SUCCOR cohort was developed to analyse the overall and disease-free survival at 5 years in women with FIGO 2009 stage IB1 cervical cancer. The aim of this study was to compare the use of adjuvant therapy in these women, depending on the method used to diagnose lymphatic node metastasis. Patients and Methods: We used data from the SUCCOR cohort, which collected information from 1049 women with FIGO 2009 stage IB1 cervical cancer who were operated on between January 2013 and December 2014 in Europe. We calculated the adjusted proportion of women who received adjuvant therapy depending on the lymph node diagnosis method and compared disease free and overall survival using Cox proportional-hazards regression models. Inverse probability weighting was used to adjust for baseline potential confounders. Results: The adjusted proportion of women who received adjuvant therapy was 33.8% in the sentinel node biopsy + lymphadenectomy (SNB+LA) group and 44.7% in the LA group (p = 0.02), although the proportion of positive nodal status was similar (p = 0.30). That difference was greater in women with negative nodal status and positive Sedlis criteria (difference 31.2%, p = 0.01). Here, those who underwent a SNB+LA had an increased risk of relapse [hazard ratio (HR) 2.49, 95% confidence interval (CI) 0.98–6.33, p = 0.056] and risk of death (HR 3.49, 95% CI 1.04–11.7, p = 0.042) compared with those who underwent LA. Conclusions: Women in this study were less likely to receive adjuvant therapy if their nodal invasion was determined using SNB+LA compared with LA. These results suggest a lack of therapeutic measures available when a negative result is obtained by SNB+LA, which may have an impact on the risk of recurrence and survival.

Published
2023

7. Genome-wide association study of Tourettes syndrome.

Author

Neale, B, Stewart, S, Fagerness, J, Evans, P, Gamazon, E, Edlund, C, Service, S, Tikhomirov, A, Osiecki, L, Illmann, C, Pluzhnikov, A, Konkashbaev, A, Davis, L, Han, B, Crane, J, Scharf, J, Yu, D, Rangel-Lugo, M, Chouinard, S, Dion, Y, Girard, S, Cath, D, Smit, J, King, R, Fernandez, T, Leckman, J, Kidd, K, Kidd, J, Pakstis, A, Herrera, L, Romero, R, Fournier, E, Sandor, P, Barr, C, Phan, N, Gross-Tsur, V, Benarroch, F, Pollak, Y, Budman, C, Bruun, R, Erenberg, G, Naarden, A, Lee, P, Weiss, N, Kremeyer, B, Berrío, G, Campbell, D, Cardona Silgado, J, Ochoa, W, Mesa Restrepo, S, Muller, H, Valencia Duarte, A, Lyon, G, Leppert, M, Morgan, J, Weiss, R, Grados, M, Anderson, K, Davarya, S, Singer, H, Walkup, J, Jankovic, J, Tischfield, J, Heiman, G, Gilbert, D, Hoekstra, P, Robertson, M, Kurlan, R, Liu, C, Gibbs, J, Singleton, A, Hardy, J, Strengman, E, Crenshaw, A, Parkin, M, Wagner, M, Moessner, R, Mirel, D, Posthuma, D, Sabatti, C, Conti, D, Knowles, J, Ruiz-Linares, A, Rouleau, G, Purcell, S, Heutink, P, Oostra, B, McMahon, W, Cox, N, Pauls, D, Reus, Victor, State, Matthew, Eskin, Eleazar, Mathews, Carol, Lowe, Thomas, Freimer, Nelson, Ophoff, Roel, and Moorjani, Priya

Subjects
Adolescent, Adult, Attention Deficit Disorder with Hyperactivity, Case-Control Studies, Chromosomes, Human, Pair 9, Female, Fibrillar Collagens, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, International Cooperation, Male, Meta-Analysis as Topic, Obsessive-Compulsive Disorder, Polymorphism, Single Nucleotide, Tourette Syndrome, White People, Young Adult
Abstract

Tourettes syndrome (TS) is a developmental disorder that has one of the highest familial recurrence rates among neuropsychiatric diseases with complex inheritance. However, the identification of definitive TS susceptibility genes remains elusive. Here, we report the first genome-wide association study (GWAS) of TS in 1285 cases and 4964 ancestry-matched controls of European ancestry, including two European-derived population isolates, Ashkenazi Jews from North America and Israel and French Canadians from Quebec, Canada. In a primary meta-analysis of GWAS data from these European ancestry samples, no markers achieved a genome-wide threshold of significance (P

Published
2013

8. Involvement of astrocyte metabolic coupling in Tourette syndrome pathogenesis

Author

Mathews, CA, de Leeuw, C, Goudriaan, A, Smit, AB, Yu, D, Scharf, J, Verheijen, MHG, and Posthuma, D

Subjects
gene‐set analysis, pathway analysis, GWAS, glia, Tourette syndrome, gene‐set analysis, pathway analysis, GWAS, glia, Tourette syndrome
Abstract

Tourette Syndrome is a heritable neurodevelopmental disorder whose pathophysiology remainsunknown. Recent genomewide association studies suggest that it is a polygenic disorderinfluenced by many genes of small effect. We tested whether these genes cluster in cellularfunction by applying gene‐set analyses using expert curated sets of brain‐expressed genes in thecurrent largest available Tourette Syndrome genome‐wide association dataset, involving 1285cases and 4964 controls. The gene‐sets included specific synaptic, astrocytic, oliogodendrocyteand microglial functions. We report association of Tourette Syndrome with a set of genesinvolved in astrocyte function, specifically in astrocyte carbohydrate metabolism. Thisassociation is driven primarily by a subset of 33 genes involved in glycolysis and glutamatemetabolism through which astrocytes support synaptic function. Our results indicate for the firsttime that the process of astrocyte‐neuron metabolic coupling may be an important contributorto Tourette Syndrome pathogenesis.

Published
2019

10. SUCCOR Nodes: May Sentinel Node Biopsy Determine the Need for Adjuvant Treatment?

Author

Berasaluce Gómez A., Martín-Calvo N., Boria F., Manzour N., Chacón E., Bizzarri N., Chiva L., Martinez A., Quesada A., Kucukmetin A., Vázquez A., Mandic A., Casajuana A., Kavallaris A., Fagotti A., Perrone A., Ferrero A., Lekuona A., Uppin A., Stepanyan A., Chiofalo B., Morillas B., Tauste C., Andrade C., Mom C., Brucker C., Sarac C. P., Vázquez-Vicente D., Cibula D., Querleu D., Erasun D., Kaidarova D., Tsolakidis D., Haidopoulos D., Golub D., Bonci E. A., Aksahin E., Gonçalves E., Moratalla E., Karaman E., Myriokefalitaki E., Ghezzi F., Narducci F., Roldan F., Raspagliesi F., Goffin F., Grandjean F., Guyon F., Demirkiran F., Fiol G., Chakalova G., Mancebo G., Vorgias G., Gebauer G., Meili G., Hernandez-Cortes G., Bogani G., Cordeiro G., Vujić G., Mendinhos G., Trum H., Bonsang-Kitzis H., Haller H., Vergote I., Zapardiel I., Aluloski I., Berlev I., Pete I., Kalogiannidis I., Kotsopoulos I., Yezhova I., Díez J., Feron J. G., Scharf J. P., Beltman J., Haesen J., Ponce J., Cea J., Mínguez J. Á., García J., Arévalo-Serrano J., Gilabert J., Alcazar J. L., Kukk K., Galaal K., Cárdenas L., Pirtea L., Mereu L., Anchora L. P., Dostalek L., Klasa L., PakižImre M., Undurraga M., Jedryka M., Bernardino M., Alonso-Espias M., Martín-Salamanca M. B., Cuadra M., Tavares M., Malzoni M., Fruscio R., Berasaluce Gómez, A, Martín-Calvo, N, Boria, F, Manzour, N, Chacón, E, Bizzarri, N, Chiva, L, Martinez, A, Quesada, A, Kucukmetin, A, Vázquez, A, Mandic, A, Casajuana, A, Kavallaris, A, Fagotti, A, Perrone, A, Ferrero, A, Lekuona, A, Uppin, A, Stepanyan, A, Chiofalo, B, Morillas, B, Tauste, C, Andrade, C, Mom, C, Brucker, C, Sarac, C, Vázquez-Vicente, D, Cibula, D, Querleu, D, Erasun, D, Kaidarova, D, Tsolakidis, D, Haidopoulos, D, Golub, D, Bonci, E, Aksahin, E, Gonçalves, E, Moratalla, E, Karaman, E, Myriokefalitaki, E, Ghezzi, F, Narducci, F, Roldan, F, Raspagliesi, F, Goffin, F, Grandjean, F, Guyon, F, Demirkiran, F, Fiol, G, Chakalova, G, Mancebo, G, Vorgias, G, Gebauer, G, Meili, G, Hernandez-Cortes, G, Bogani, G, Cordeiro, G, Vujić, G, Mendinhos, G, Trum, H, Bonsang-Kitzis, H, Haller, H, Vergote, I, Zapardiel, I, Aluloski, I, Berlev, I, Pete, I, Kalogiannidis, I, Kotsopoulos, I, Yezhova, I, Díez, J, Feron, J, Scharf, J, Beltman, J, Haesen, J, Ponce, J, Cea, J, Mínguez, J, García, J, Arévalo-Serrano, J, Gilabert, J, Alcazar, J, Kukk, K, Galaal, K, Cárdenas, L, Pirtea, L, Mereu, L, Anchora, L, Dostalek, L, Klasa, L, Pakižimre, M, Undurraga, M, Jedryka, M, Bernardino, M, Alonso-Espias, M, Martín-Salamanca, M, Cuadra, M, Tavares, M, Malzoni, M, and Fruscio, R

Subjects
cervical cancer
Abstract

Background: The SUCCOR cohort was developed to analyse the overall and disease-free survival at 5 years in women with FIGO 2009 stage IB1 cervical cancer. The aim of this study was to compare the use of adjuvant therapy in these women, depending on the method used to diagnose lymphatic node metastasis. Patients and Methods: We used data from the SUCCOR cohort, which collected information from 1049 women with FIGO 2009 stage IB1 cervical cancer who were operated on between January 2013 and December 2014 in Europe. We calculated the adjusted proportion of women who received adjuvant therapy depending on the lymph node diagnosis method and compared disease free and overall survival using Cox proportional-hazards regression models. Inverse probability weighting was used to adjust for baseline potential confounders. Results: The adjusted proportion of women who received adjuvant therapy was 33.8% in the sentinel node biopsy + lymphadenectomy (SNB+LA) group and 44.7% in the LA group (p = 0.02), although the proportion of positive nodal status was similar (p = 0.30). That difference was greater in women with negative nodal status and positive Sedlis criteria (difference 31.2%, p = 0.01). Here, those who underwent a SNB+LA had an increased risk of relapse [hazard ratio (HR) 2.49, 95% confidence interval (CI) 0.98–6.33, p = 0.056] and risk of death (HR 3.49, 95% CI 1.04–11.7, p = 0.042) compared with those who underwent LA. Conclusions: Women in this study were less likely to receive adjuvant therapy if their nodal invasion was determined using SNB+LA compared with LA. These results suggest a lack of therapeutic measures available when a negative result is obtained by SNB+LA, which may have an impact on the risk of recurrence and survival.

Published
2023

12. SUCCOR Risk: Design and Validation of a Recurrence Prediction Index for Early-Stage Cervical Cancer

Author

Manzour, N, Chiva, L, Chacon, E, Martin-Calvo, N, Boria, F, Minguez, J, Alcazar, J, Zanagnolo, V, Querleu, D, Capilna, M, Fagotti, A, Kucukmetin, A, Mom, C, Chakalova, G, Aliyev, S, Malzoni, M, Narducci, F, Arencibia, O, Raspagliesi, F, Toptas, T, Cibula, D, Kaidarova, D, Meydanli, M, Tavares, M, Golub, D, Perrone, A, Poka, R, Tsolakidis, D, Vujic, G, Jedryka, M, Zusterzeel, P, Beltman, J, Goffin, F, Haidopoulos, D, Haller, H, Jach, R, Yezhova, I, Berlev, I, Bernardino, M, Bharathan, R, Lanner, M, Sukhin, V, Feron, J, Fruscio, R, Kukk, K, Ponce, J, Abdalla, N, Akbayir, O, Akgol, S, Aksahin, E, Alonso-Espias, M, Aluloski, I, Andrade, C, Badzakov, N, Barrachina, R, Bogani, G, Bonci, E, Bonsang-Kitzis, H, Brucker, C, Cardenas, L, Casajuana, A, Cavalle, P, Cea, J, Chiofalo, B, Cordeiro, G, Coronado, P, Cuadra, M, Diez, J, da Costa, T, Domingo, S, Dostalek, L, Demirkiran, F, Erasun, D, Fehr, M, Fernandez-Gonzalez, S, Fidalgo, S, Fiol, G, Galaal, K, Garcia, J, Gebauer, G, Ghezzi, F, Gilabert, J, Gomes, N, Goncalves, E, Gonzalez, V, Grandjean, F, Guijarro, M, Guyon, F, Haesen, J, Hernandez-Cortes, G, Herrero, S, Pete, I, Kalogiannidis, I, Karaman, E, Kavallaris, A, Klasa, L, Kotsopoulos, I, Kovachev, S, Leht, M, Lekuona, A, Luyckx, M, Mallmann, M, Mancebo, G, Mandic, A, Marina, T, Martin, V, Martin-Salamanca, M, Martinez, A, Meili, G, Mendinhos, G, Mereu, L, Mitrovic, M, Morales, S, Moratalla, E, Morillas, B, Myriokefalitaki, E, Pakizimre, M, Petousis, S, Pirtea, L, Povolotskaya, N, Prader, S, Quesada, A, Redecha, M, Roldan, F, Rolland, P, Saaron, R, Sarac, C, Scharf, J, Smrkolj, S, Sousa, R, Stepanyan, A, Student, V, Tauste, C, Trum, H, Turan, T, Undurraga, M, Uppin, A, Vazquez, A, Vergote, I, Vorgias, G, Zapardiel, I, Manzour N., Chiva L., Chacon E., Martin-Calvo N., Boria F., Minguez J. A., Alcazar J. L., Zanagnolo V., Querleu D., Capilna M., Fagotti A., Kucukmetin A., Mom C., Chakalova G., Aliyev S., Malzoni M., Narducci F., Arencibia O., Raspagliesi F., Toptas T., Cibula D., Kaidarova D., Meydanli M., Tavares M., Golub D., Perrone A., Poka R., Tsolakidis D., Vujic G., Jedryka M., Zusterzeel P., Beltman J., Goffin F., Haidopoulos D., Haller H., Jach R., Yezhova I., Berlev I., Bernardino M., Bharathan R., Lanner M., Sukhin V., Feron J. G., Fruscio R., Kukk K., Ponce J., Abdalla N., Akbayir O., Akgol S., Aksahin E., Alonso-Espias M., Aluloski I., Andrade C., Badzakov N., Barrachina R., Bogani G., Bonci E. -A., Bonsang-Kitzis H., Brucker C., Cardenas L., Casajuana A., Cavalle P., Cea J., Chiofalo B., Cordeiro G., Coronado P., Cuadra M., Diez J., da Costa T. D., Domingo S., Dostalek L., Demirkiran F., Erasun D., Fehr M., Fernandez-Gonzalez S., Fidalgo S., Fiol G., Galaal K., Garcia J., Gebauer G., Ghezzi F., Gilabert J., Gomes N., Goncalves E., Gonzalez V., Grandjean F., Guijarro M., Guyon F., Haesen J., Hernandez-Cortes G., Herrero S., Pete I., Kalogiannidis I., Karaman E., Kavallaris A., Klasa L., Kotsopoulos I., Kovachev S., Leht M., Lekuona A., Luyckx M., Mallmann M., Mancebo G., Mandic A., Marina T., Martin V., Martin-Salamanca M. B., Martinez A., Meili G., Mendinhos G., Mereu L., Mitrovic M., Morales S., Moratalla E., Morillas B., Myriokefalitaki E., PakizImre M., Petousis S., Pirtea L., Povolotskaya N., Prader S., Quesada A., Redecha M., Roldan F., Rolland P., Saaron R., Sarac C. -P., Scharf J. -P., Smrkolj S., Sousa R., Stepanyan A., Student V., Tauste C., Trum H., Turan T., Undurraga M., Uppin A., Vazquez A., Vergote I., Vorgias G., Zapardiel I., Manzour, N, Chiva, L, Chacon, E, Martin-Calvo, N, Boria, F, Minguez, J, Alcazar, J, Zanagnolo, V, Querleu, D, Capilna, M, Fagotti, A, Kucukmetin, A, Mom, C, Chakalova, G, Aliyev, S, Malzoni, M, Narducci, F, Arencibia, O, Raspagliesi, F, Toptas, T, Cibula, D, Kaidarova, D, Meydanli, M, Tavares, M, Golub, D, Perrone, A, Poka, R, Tsolakidis, D, Vujic, G, Jedryka, M, Zusterzeel, P, Beltman, J, Goffin, F, Haidopoulos, D, Haller, H, Jach, R, Yezhova, I, Berlev, I, Bernardino, M, Bharathan, R, Lanner, M, Sukhin, V, Feron, J, Fruscio, R, Kukk, K, Ponce, J, Abdalla, N, Akbayir, O, Akgol, S, Aksahin, E, Alonso-Espias, M, Aluloski, I, Andrade, C, Badzakov, N, Barrachina, R, Bogani, G, Bonci, E, Bonsang-Kitzis, H, Brucker, C, Cardenas, L, Casajuana, A, Cavalle, P, Cea, J, Chiofalo, B, Cordeiro, G, Coronado, P, Cuadra, M, Diez, J, da Costa, T, Domingo, S, Dostalek, L, Demirkiran, F, Erasun, D, Fehr, M, Fernandez-Gonzalez, S, Fidalgo, S, Fiol, G, Galaal, K, Garcia, J, Gebauer, G, Ghezzi, F, Gilabert, J, Gomes, N, Goncalves, E, Gonzalez, V, Grandjean, F, Guijarro, M, Guyon, F, Haesen, J, Hernandez-Cortes, G, Herrero, S, Pete, I, Kalogiannidis, I, Karaman, E, Kavallaris, A, Klasa, L, Kotsopoulos, I, Kovachev, S, Leht, M, Lekuona, A, Luyckx, M, Mallmann, M, Mancebo, G, Mandic, A, Marina, T, Martin, V, Martin-Salamanca, M, Martinez, A, Meili, G, Mendinhos, G, Mereu, L, Mitrovic, M, Morales, S, Moratalla, E, Morillas, B, Myriokefalitaki, E, Pakizimre, M, Petousis, S, Pirtea, L, Povolotskaya, N, Prader, S, Quesada, A, Redecha, M, Roldan, F, Rolland, P, Saaron, R, Sarac, C, Scharf, J, Smrkolj, S, Sousa, R, Stepanyan, A, Student, V, Tauste, C, Trum, H, Turan, T, Undurraga, M, Uppin, A, Vazquez, A, Vergote, I, Vorgias, G, Zapardiel, I, Manzour N., Chiva L., Chacon E., Martin-Calvo N., Boria F., Minguez J. A., Alcazar J. L., Zanagnolo V., Querleu D., Capilna M., Fagotti A., Kucukmetin A., Mom C., Chakalova G., Aliyev S., Malzoni M., Narducci F., Arencibia O., Raspagliesi F., Toptas T., Cibula D., Kaidarova D., Meydanli M., Tavares M., Golub D., Perrone A., Poka R., Tsolakidis D., Vujic G., Jedryka M., Zusterzeel P., Beltman J., Goffin F., Haidopoulos D., Haller H., Jach R., Yezhova I., Berlev I., Bernardino M., Bharathan R., Lanner M., Sukhin V., Feron J. G., Fruscio R., Kukk K., Ponce J., Abdalla N., Akbayir O., Akgol S., Aksahin E., Alonso-Espias M., Aluloski I., Andrade C., Badzakov N., Barrachina R., Bogani G., Bonci E. -A., Bonsang-Kitzis H., Brucker C., Cardenas L., Casajuana A., Cavalle P., Cea J., Chiofalo B., Cordeiro G., Coronado P., Cuadra M., Diez J., da Costa T. D., Domingo S., Dostalek L., Demirkiran F., Erasun D., Fehr M., Fernandez-Gonzalez S., Fidalgo S., Fiol G., Galaal K., Garcia J., Gebauer G., Ghezzi F., Gilabert J., Gomes N., Goncalves E., Gonzalez V., Grandjean F., Guijarro M., Guyon F., Haesen J., Hernandez-Cortes G., Herrero S., Pete I., Kalogiannidis I., Karaman E., Kavallaris A., Klasa L., Kotsopoulos I., Kovachev S., Leht M., Lekuona A., Luyckx M., Mallmann M., Mancebo G., Mandic A., Marina T., Martin V., Martin-Salamanca M. B., Martinez A., Meili G., Mendinhos G., Mereu L., Mitrovic M., Morales S., Moratalla E., Morillas B., Myriokefalitaki E., PakizImre M., Petousis S., Pirtea L., Povolotskaya N., Prader S., Quesada A., Redecha M., Roldan F., Rolland P., Saaron R., Sarac C. -P., Scharf J. -P., Smrkolj S., Sousa R., Stepanyan A., Student V., Tauste C., Trum H., Turan T., Undurraga M., Uppin A., Vazquez A., Vergote I., Vorgias G., and Zapardiel I.

Abstract

Objective: Based on the SUCCOR study database, our primary objective was to identify the independent clinical pathological variables associated with the risk of relapse in patients with stage IB1 cervical cancer who underwent a radical hysterectomy. Our secondary goal was to design and validate a risk predictive index (RPI) for classifying patients depending on the risk of recurrence. Methods: Overall, 1116 women were included from January 2013 to December 2014. We randomly divided our sample into two cohorts: discovery and validation cohorts. The test group was used to identify the independent variables associated with relapse, and with these variables, we designed our RPI. The index was applied to calculate a relapse risk score for each participant in the validation group. Results: A previous cone biopsy was the most significant independent variable that lowered the rate of relapse (odds ratio [OR] 0.31, 95% confidence interval [CI] 0.17–0.60). Additionally, patients with a tumor diameter >2 cm on preoperative imaging assessment (OR 2.15, 95% CI 1.33–3.5) and operated by the minimally invasive approach (OR 1.61, 95% CI 1.00–2.57) were more likely to have a recurrence. Based on these findings, patients in the validation cohort were classified according to the RPI of low, medium, or high risk of relapse, with rates of 3.4%, 9.8%, and 21.3% observed in each group, respectively. With a median follow-up of 58 months, the 5-year disease-free survival rates were 97.2% for the low-risk group, 88.0% for the medium-risk group, and 80.5% for the high-risk group (p < 0.001). Conclusion: Previous conization to radical hysterectomy was the most powerful protective variable of relapse. Our risk predictor index was validated to identify patients at risk of recurrence.

Published
2022

17. EP10.02: Pathophysiology and intrauterine appearance of unusual causes of fetal acrania‐exencephaly‐anencephaly sequence

Author

Weichert, J., primary, Gembicki, M.A., additional, Welp, A., additional, Scharf, J., additional, Dracopoulos, C., additional, Krapp, M., additional, Becker, W., additional, Enzensberger, C., additional, Graupner, O., additional, Ritgen, J., additional, Schröer, A., additional, Weichert, A., additional, and Degenhardt, J., additional

Published
2022
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18. Software Tools and Methods for Research and Education in Optical Networks

Author

Rumley, Sébastien, Gaumier, Christian, Aparicio-Pardo, Ramon, Chang, Ching-Hung, Colitti, Walter, Garcia-Manrubia, Belen, Kourtessis, Pandelis, Martínez-León, Juan Antonio, Nowé, Ann, Pavón-Mariño, Pablo, Scharf, J., Steenhaut, K., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Tomkos, Ioannis, editor, Spyropoulou, Maria, editor, Ennser, Karin, editor, Köhn, Martin, editor, and Mikac, Branko, editor

Published
2009
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19. Ottomotoren für Hybrid-Antriebe – Hochtechnologie oder Low-Cost Aggregate? /Gasoline Engines for Hybrid Powertrains – High Tech or Low Cost?

Author

Scharf, J., primary, Ogrzewalla, J., additional, Wolff, K., additional, Uhlmann, T., additional, Thewes, M., additional, Balazs, A., additional, Grzeschik, P., additional, Görgen, M., additional, Yadla, S., additional, Baumgarten, H., additional, Wittler, M., additional, and Nebbia, C., additional

Published
2017
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23. Involvement of astrocyte metabolic coupling in Tourette syndrome pathogenesis

Author

Mathews, CA, Mathews, CA, de Leeuw, C, Goudriaan, A, Smit, AB, Yu, D, Scharf, J, Verheijen, MHG, Posthuma, D, Mathews, CA, Mathews, CA, de Leeuw, C, Goudriaan, A, Smit, AB, Yu, D, Scharf, J, Verheijen, MHG, and Posthuma, D

Abstract

Tourette Syndrome is a heritable neurodevelopmental disorder whose pathophysiology remains unknown. Recent genomewide association studies suggest that it is a polygenic disorder influenced by many genes of small effect. We tested whether these genes cluster in cellular function by applying gene‐set analyses using expert curated sets of brain‐expressed genes in the current largest available Tourette Syndrome genome‐wide association dataset, involving 1285 cases and 4964 controls. The gene‐sets included specific synaptic, astrocytic, oliogodendrocyte and microglial functions. We report association of Tourette Syndrome with a set of genes involved in astrocyte function, specifically in astrocyte carbohydrate metabolism. This association is driven primarily by a subset of 33 genes involved in glycolysis and glutamate metabolism through which astrocytes support synaptic function. Our results indicate for the first time that the process of astrocyte‐neuron metabolic coupling may be an important contributor to Tourette Syndrome pathogenesis.

Published
2022

24. SUCCOR Risk: Design and Validation of a Recurrence Prediction Index for Early-Stage Cervical Cancer

Author

Manzour, N., Chiva, L., Chacon, E., Martin-Calvo, N., Boria, F., Minguez, J. A., Alcazar, J. L., Zanagnolo, V., Querleu, D., Capilna, M., Fagotti, Anna, Kucukmetin, A., Mom, C., Chakalova, G., Aliyev, S., Malzoni, M., Narducci, F., Arencibia, O., Raspagliesi, F., Toptas, T., Cibula, D., Kaidarova, D., Meydanli, M., Tavares, M., Golub, D., Perrone, A., Poka, R., Tsolakidis, D., Vujic, G., Jedryka, M., Zusterzeel, P., Beltman, J., Goffin, F., Haidopoulos, D., Haller, H., Jach, R., Yezhova, I., Berlev, I., Bernardino, M., Bharathan, R., Lanner, M., Sukhin, V., Feron, J. G., Fruscio, R., Kukk, K., Ponce, J., Abdalla, N., Akbayir, O., Akgol, S., Aksahin, E., Alonso-Espias, M., Aluloski, I., Andrade, C., Badzakov, N., Barrachina, R., Bogani, G., Bonci, E. -A., Bonsang-Kitzis, H., Brucker, C., Cardenas, L., Casajuana, A., Cavalle, P., Cea, J., Chiofalo, B., Cordeiro, G., Coronado, P., Cuadra, M., Diez, J., da Costa, T. D., Domingo, S., Dostalek, L., Demirkiran, F., Erasun, D., Fehr, M., Fernandez-Gonzalez, S., Fidalgo, S., Fiol, G., Galaal, K., Garcia, J., Gebauer, G., Ghezzi, F., Gilabert, J., Gomes, N., Goncalves, E., Gonzalez, V., Grandjean, F., Guijarro, M., Guyon, F., Haesen, J., Hernandez-Cortes, G., Herrero, S., Pete, I., Kalogiannidis, I., Karaman, E., Kavallaris, A., Klasa, L., Kotsopoulos, I., Kovachev, S., Leht, M., Lekuona, A., Luyckx, M., Mallmann, M., Mancebo, G., Mandic, A., Marina, T., Martin, V., Martin-Salamanca, M. B., Martinez, A., Meili, G., Mendinhos, G., Mereu, L., Mitrovic, M., Morales, S., Moratalla, E., Morillas, B., Myriokefalitaki, E., Pakizimre, M., Petousis, S., Pirtea, L., Povolotskaya, N., Prader, S., Quesada, A., Redecha, M., Roldan, F., Rolland, P., Saaron, R., Sarac, C. -P., Scharf, J. -P., Smrkolj, S., Sousa, R., Stepanyan, A., Student, V., Tauste, C., Trum, H., Turan, T., Undurraga, M., Uppin, A., Vazquez, A., Vergote, I., Vorgias, G., Zapardiel, I., Fagotti A. (ORCID:0000-0001-5579-335X), Manzour, N., Chiva, L., Chacon, E., Martin-Calvo, N., Boria, F., Minguez, J. A., Alcazar, J. L., Zanagnolo, V., Querleu, D., Capilna, M., Fagotti, Anna, Kucukmetin, A., Mom, C., Chakalova, G., Aliyev, S., Malzoni, M., Narducci, F., Arencibia, O., Raspagliesi, F., Toptas, T., Cibula, D., Kaidarova, D., Meydanli, M., Tavares, M., Golub, D., Perrone, A., Poka, R., Tsolakidis, D., Vujic, G., Jedryka, M., Zusterzeel, P., Beltman, J., Goffin, F., Haidopoulos, D., Haller, H., Jach, R., Yezhova, I., Berlev, I., Bernardino, M., Bharathan, R., Lanner, M., Sukhin, V., Feron, J. G., Fruscio, R., Kukk, K., Ponce, J., Abdalla, N., Akbayir, O., Akgol, S., Aksahin, E., Alonso-Espias, M., Aluloski, I., Andrade, C., Badzakov, N., Barrachina, R., Bogani, G., Bonci, E. -A., Bonsang-Kitzis, H., Brucker, C., Cardenas, L., Casajuana, A., Cavalle, P., Cea, J., Chiofalo, B., Cordeiro, G., Coronado, P., Cuadra, M., Diez, J., da Costa, T. D., Domingo, S., Dostalek, L., Demirkiran, F., Erasun, D., Fehr, M., Fernandez-Gonzalez, S., Fidalgo, S., Fiol, G., Galaal, K., Garcia, J., Gebauer, G., Ghezzi, F., Gilabert, J., Gomes, N., Goncalves, E., Gonzalez, V., Grandjean, F., Guijarro, M., Guyon, F., Haesen, J., Hernandez-Cortes, G., Herrero, S., Pete, I., Kalogiannidis, I., Karaman, E., Kavallaris, A., Klasa, L., Kotsopoulos, I., Kovachev, S., Leht, M., Lekuona, A., Luyckx, M., Mallmann, M., Mancebo, G., Mandic, A., Marina, T., Martin, V., Martin-Salamanca, M. B., Martinez, A., Meili, G., Mendinhos, G., Mereu, L., Mitrovic, M., Morales, S., Moratalla, E., Morillas, B., Myriokefalitaki, E., Pakizimre, M., Petousis, S., Pirtea, L., Povolotskaya, N., Prader, S., Quesada, A., Redecha, M., Roldan, F., Rolland, P., Saaron, R., Sarac, C. -P., Scharf, J. -P., Smrkolj, S., Sousa, R., Stepanyan, A., Student, V., Tauste, C., Trum, H., Turan, T., Undurraga, M., Uppin, A., Vazquez, A., Vergote, I., Vorgias, G., Zapardiel, I., and Fagotti A. (ORCID:0000-0001-5579-335X)

Abstract

Objective: Based on the SUCCOR study database, our primary objective was to identify the independent clinical pathological variables associated with the risk of relapse in patients with stage IB1 cervical cancer who underwent a radical hysterectomy. Our secondary goal was to design and validate a risk predictive index (RPI) for classifying patients depending on the risk of recurrence. Methods: Overall, 1116 women were included from January 2013 to December 2014. We randomly divided our sample into two cohorts: discovery and validation cohorts. The test group was used to identify the independent variables associated with relapse, and with these variables, we designed our RPI. The index was applied to calculate a relapse risk score for each participant in the validation group. Results: A previous cone biopsy was the most significant independent variable that lowered the rate of relapse (odds ratio [OR] 0.31, 95% confidence interval [CI] 0.17–0.60). Additionally, patients with a tumor diameter >2 cm on preoperative imaging assessment (OR 2.15, 95% CI 1.33–3.5) and operated by the minimally invasive approach (OR 1.61, 95% CI 1.00–2.57) were more likely to have a recurrence. Based on these findings, patients in the validation cohort were classified according to the RPI of low, medium, or high risk of relapse, with rates of 3.4%, 9.8%, and 21.3% observed in each group, respectively. With a median follow-up of 58 months, the 5-year disease-free survival rates were 97.2% for the low-risk group, 88.0% for the medium-risk group, and 80.5% for the high-risk group (p < 0.001). Conclusion: Previous conization to radical hysterectomy was the most powerful protective variable of relapse. Our risk predictor index was validated to identify patients at risk of recurrence.

Published
2022

29. SUCCOR cone study

Author

Chacon, E, Manzour, N, Zanagnolo, V, Querleu, D, Núñez-Córdoba, Jm, Martin-Calvo, N, Căpîlna, Me, Fagotti, A, Kucukmetin, A, Mom, C, Chakalova, G, Shamistan, A, Gil Moreno, A, Malzoni, M, Narducci, F, Arencibia, O, Raspagliesi, F, Toptas, T, Cibula, D, Kaidarova, D, Meydanli, Mm, Tavares, M, Golub, D, Perrone, Am, Poka, R, Tsolakidis, D, Vujić, G, Jedryka, Ma, Zusterzeel, Plm, Beltman, Jj, Goffin, F, Haidopoulos, D, Haller, H, Jach, R, Yezhova, I, Berlev, I, Bernardino, M, Bharathan, R, Lanner, M, Maenpaa, Mm, Sukhin, V, Feron, Jg, Fruscio, R, Kukk, K, Ponce, J, Minguez, Ja, Vázquez-Vicente, D, Castellanos, T, Boria, F, Alcazar, Jl, Chiva, L, SUCCOR study group, SUCCOR study Group: Abdalla, N, Akgöl, S, Aksahin, D, Aliyev, S, Alonso-Espias, M, Aluloski, I, Andrade, C, Badzakov, N, Barrachina, R, Bogani, G, Bonci, E-A, Bonsang-Kitzis, H, Brucker, C, Cárdenas, L, Casajuana, A, Cavalle, P, Cea, J, Chiofalo, B, Cordeiro, G, Coronado, P, Cuadra, M, Díez, J, Diniz da Costa, T, Domingo, S, Dostalek, L, Elif, F, Erasun, D, Fehr, M, Fernandez-Gonzalez, S, Ferrero, A, Fidalgo, S, Fiol, G, Galaal, K, García, J, Gebauer, G, Ghezzi, F, Gilabert, J, Gomes, N, Gonçalves, E, Gonzalez, V, Grandjean, F, Guijarro, M, Guyon, F, Haesen, J, Hernandez-Cortes, G, Herrero, S, Pete, I, Kalogiannidis, I, Karaman, E, Kavallaris, A, Klasa, L, Kotsopoulos, I, Stefan Kovachev, S, U A, Leht, Lekuona, A, Luyckx, M, Mallmann, M, Mancebo, G, Mandic, A, Marina, T, Martin, V, M B, Martín-Salamanca, Lago, V, Martinez, A, Meili, G, Mendinhos, G, Mereu, L, Mitrovic, M, Morales, S, Moratalla, E, N R, Gómez-Hidalgo, Morillas, B, Myriokefalitaki, E, Pakižimre, M, Petousis, S, Pirtea, L, Povolotskaya, N, Prader, S, Quesada, A, Redecha, M, Roldan, F, Rolland, P, Saaron, R, Sarac, C-P, Scharf, J-P, Smrkolj, S, Sousa, R, Stepanyan, A, Študent, V, Tauste, C, Trum, H, Turan, T, Undurraga, M, Vázquez, A, Vergote, I, Vorgias, G, and Zapardiel, I, Obstetrics and gynaecology, CCA - Cancer Treatment and quality of life, Amsterdam Reproduction & Development (AR&D), Chacon, E, Manzour, N, Zanagnolo, V, Querleu, D, Núñez-Córdoba, J, Martin-Calvo, N, Căpîlna, M, Fagotti, A, Kucukmetin, A, Mom, C, Chakalova, G, Shamistan, A, Gil Moreno, A, Malzoni, M, Narducci, F, Arencibia, O, Raspagliesi, F, Toptas, T, Cibula, D, Kaidarova, D, Meydanli, M, Tavares, M, Golub, D, Perrone, A, Poka, R, Tsolakidis, D, Vujić, G, Jedryka, M, Zusterzeel, P, Beltman, J, Goffin, F, Haidopoulos, D, Haller, H, Jach, R, Yezhova, I, Berlev, I, Bernardino, M, Bharathan, R, Lanner, M, Maenpaa, M, Sukhin, V, Feron, J, Fruscio, R, Kukk, K, Ponce, J, Minguez, J, Vázquez-Vicente, D, Castellanos, T, Boria, F, Alcazar, J, and Chiva, L

Subjects
Adult, Databases, Factual, cervical cancer, Conization, Obstetrics and Gynecology, Uterine Cervical Neoplasms, Middle Aged, Disease-Free Survival, Women's cancers Radboud Institute for Health Sciences [Radboudumc 17], surgery, Settore MED/40 - GINECOLOGIA E OSTETRICIA, laparoscopes, laparoscope, Oncology, laparotomy, Humans, Minimally Invasive Surgical Procedures, Female, Neoplasm Recurrence, Local, hysterectomy, Propensity Score, Retrospective Studies
Abstract

ObjectiveTo evaluate disease-free survival of cervical conization prior to radical hysterectomy in patients with stage IB1 cervical cancer (International Federation of Gynecology and Obstetrics (FIGO) 2009).MethodsA multicenter retrospective observational cohort study was conducted including patients from the Surgery in Cervical Cancer Comparing Different Surgical Aproaches in Stage IB1 Cervical Cancer (SUCCOR) database with FIGO 2009 IB1 cervical carcinoma treated with radical hysterectomy between January 1, 2013, and December 31, 2014. We used propensity score matching to minimize the potential allocation biases arising from the retrospective design. Patients who underwent conization but were similar for other measured characteristics were matched 1:1 to patients from the non-cone group using a caliper width ≤0.2 standard deviations of the logit odds of the estimated propensity score.ResultsWe obtained a weighted cohort of 374 patients (187 patients with prior conization and 187 non-conization patients). We found a 65% reduction in the risk of relapse for patients who had cervical conization prior to radical hysterectomy (hazard ratio (HR) 0.35, 95% confidence interval (CI) 0.16 to 0.75, p=0.007) and a 75% reduction in the risk of death for the same sample (HR 0.25, 95% CI 0.07 to 0.90, p=0.033). In addition, patients who underwent minimally invasive surgery without prior conization had a 5.63 times higher chance of relapse compared with those who had an open approach and previous conization (HR 5.63, 95% CI 1.64 to 19.3, p=0.006). Patients who underwent minimally invasive surgery with prior conization and those who underwent open surgery without prior conization showed no differences in relapse rates compared with those who underwent open surgery with prior cone biopsy (reference) (HR 1.94, 95% CI 0.49 to 7.76, p=0.349 and HR 2.94, 95% CI 0.80 to 10.86, p=0.106 respectively).ConclusionsIn this retrospective study, patients undergoing cervical conization before radical hysterectomy had a significantly lower risk of relapse and death.

Published
2022

31. Arteriographie

Author

Kauffmann, G. W., Scharf, J., Rau, W. S., Forsting, M., Sahl, H., Sartor, K., Kauffmann, G. W., Rau, W. S., Roeren, T., and Sartor, K.

Published
1995
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35. EP09.90: Applicability of two‐dimensional speckle tracking echocardiography for comprehensive analysis of cardiac deformation using fetalHQ in clinical routine.

Author

Scharf, J., Dracopoulos, C., Gembicki, M.A., Welp, A., and Weichert, J.

Subjects
*SPECKLE tracking echocardiography, *ECHOCARDIOGRAPHY, *GLOBAL longitudinal strain, *FETAL heart rate, *MATERNAL age
Abstract

This article, published in the journal Ultrasound in Obstetrics & Gynecology, explores the use of fetal two-dimensional speckle-tracking echocardiography (2D-STE) for assessing fetal cardiac function. The study involved 136 normal, singleton, second and third trimester fetuses, and compared the results obtained by beginner and expert operators using an automated tool. The analysis showed that the application of fetal 2D-STE should be performed by skilled operators, and the authors do not currently recommend its implementation into clinical practice. [Extracted from the article]

Published
2024
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36. EP01.25: Advantages of 5D CNSDeep versus 5D CNS+ for generating a fetal neurosonogram in clinical routine.

Author

Scharf, J., Dracopoulos, C., Gembicki, M.A., Welp, A., and Weichert, J.

Subjects
*INTRACLASS correlation, *BODY mass index, *MATERNAL age, *BLAND-Altman plot, *CENTRAL nervous system
Abstract

This article compares two software programs, 5D CNS+ and 5D CNSDeep, for generating a fetal neurosonogram in clinical routine. The study examined 116 stored 3D volumes of the brain of structurally normal second and third trimester fetuses. The results showed that 5D CNSDeep had superior performance compared to 5D CNS+, with shorter acquisition times and better interoperator reproducibility. The authors conclude that 5D CNSDeep provides time efficiency and diagnostic confidence for fetal sonologists, making it a valuable tool in clinical practice. [Extracted from the article]

Published
2024
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38. Abstracts

Author

Weissofner, A., Micallef, J., Baerlocher, K., Karl, H., Haffner, B., Trawöger, R., Maurer, H., Ausserer, B., Krassnitzer, S., Könner, Ch., Covi, P., Rücker, J., Schneider, W., Harder, S., Zielen, S., Zin-U, B., Bock, U., Lauffer, H., Rey, M., Scharf, J., Wenzel, D., Wölfel, D., Wagner, J., Exner, H., Hagmüller, G., Weinstabl, C., Richling, B., Plainer, B., Aloy, A., Czech, T., Spiss, C. K., Mast, M., Erbs, G., Stöllberger, C., Bachl, J. Ch., Peschl, L., Slany, J., Brainin, M., Heß, M., Nowak, G., Schwohl, Th., Diederich, K.-W., Sheikhzadeh, A., Seit, E., Loeb, M., Eich, F. X., Leititis, J. U., Kronenberg, H., Ulrich, M., Lang, M., Kraft, A., Rohling, R., Link, J., Kretz, F. J., Siebenlist, D., Gattenlöhner, W., Loimer, N., Lenz, K., Presslich, O., Schmid, R., Lechner, P., Anderhuber, F., Thies, P., Janisch, H. D., v. Kleist, D. H., Hoeft, S., Hampel, K. E., Donner, A., Seidler, D., Fitzgerald, R., Lackner, F., Graninger, W., Schwarz, S., Hlozanek, Ch., Jaspert, A., Kotterba, S., Tegenthoff, M., Malin, J.-P., Schmidt, A., Binner, L., Hombach, V., König, P., Künz, A., Harf, Ch., van Vyve, Th., Welter, R., Simbruner, G., Kirchner, L., Glatzl-Hawlik, M., Weninger, M., Paltinger, N., Wieland, W., Mertes, N., Sciuk, J., Wendt, M., Bock, T. A., Heintz, B., Sieberth, H. G., Peters, P., Saborowski, F., Genuß, G.-R., Brusis, T., Feldges, A., Kalff, R., Rosenthal, E., Grote, W., Lenz, Kurt, editor, Laggner, Anton N., editor, Deutsch, Erwin, editor, Binder, Heinrich, editor, Gadner, Helmut, editor, Grimm, Georg, editor, Kleinberger, Gunther, editor, Ritz, Rudolf, editor, Schuster, Hans Peter, editor, and Zaunschirm, Harald Andrew, editor

Published
1990
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43. Genome-wide association study of obsessive-compulsive disorder

Author

Stewart, S E, Yu, D, Scharf, J M, Neale, B M, Fagerness, J A, Mathews, C A, Arnold, P D, Evans, P D, Gamazon, E R, Osiecki, L, McGrath, L, Haddad, S, Crane, J, Hezel, D, Illman, C, Mayerfeld, C, Konkashbaev, A, Liu, C, Pluzhnikov, A, Tikhomirov, A, Edlund, C K, Rauch, S L, Moessner, R, Falkai, P, Maier, W, Ruhrmann, S, Grabe, H-J, Lennertz, L, Wagner, M, Bellodi, L, Cavallini, M C, Richter, M A, Cook, Jr, E H, Kennedy, J L, Rosenberg, D, Stein, D J, Hemmings, S M J, Lochner, C, Azzam, A, Chavira, D A, Fournier, E, Garrido, H, Sheppard, B, Umaña, P, Murphy, D L, Wendland, J R, Veenstra-VanderWeele, J, Denys, D, Blom, R, Deforce, D, Van Nieuwerburgh, F, Westenberg, H G M, Walitza, S, Egberts, K, Renner, T, Miguel, E C, Cappi, C, Hounie, A G, Conceição do Rosário, M, Sampaio, A S, Vallada, H, Nicolini, H, Lanzagorta, N, Camarena, B, Delorme, R, Leboyer, M, Pato, C N, Pato, M T, Voyiaziakis, E, Heutink, P, Cath, D C, Posthuma, D, Smit, J H, Samuels, J, Bienvenu, O J, Cullen, B, Fyer, A J, Grados, M A, Greenberg, B D, McCracken, J T, Riddle, M A, Wang, Y, Coric, V, Leckman, J F, Bloch, M, Pittenger, C, Eapen, V, Black, D W, Ophoff, R A, Strengman, E, Cusi, D, Turiel, M, Frau, F, Macciardi, F, Gibbs, J R, Cookson, M R, Singleton, A, Hardy, J, Crenshaw, A T, Parkin, M A, Mirel, D B, Conti, D V, Purcell, S, Nestadt, G, Hanna, G L, Jenike, M A, Knowles, J A, Cox, N, and Pauls, D L

Published
2013
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44. Genome-wide association study of Tourette's syndrome

Author

Scharf, J M, Yu, D, Mathews, C A, Neale, B M, Stewart, S E, Fagerness, J A, Evans, P, Gamazon, E, Edlund, C K, Service, S K, Tikhomirov, A, Osiecki, L, Illmann, C, Pluzhnikov, A, Konkashbaev, A, Davis, L K, Han, B, Crane, J, Moorjani, P, Crenshaw, A T, Parkin, M A, Reus, V I, Lowe, T L, Rangel-Lugo, M, Chouinard, S, Dion, Y, Girard, S, Cath, D C, Smit, J H, King, R A, Fernandez, T V, Leckman, J F, Kidd, K K, Kidd, J R, Pakstis, A J, State, M W, Herrera, L D, Romero, R, Fournier, E, Sandor, P, Barr, C L, Phan, N, Gross-Tsur, V, Benarroch, F, Pollak, Y, Budman, C L, Bruun, R D, Erenberg, G, Naarden, A L, Lee, P C, Weiss, N, Kremeyer, B, Berrío, G B, Campbell, D D, Cardona Silgado, J C, Ochoa, W C, Mesa Restrepo, S C, Muller, H, Valencia Duarte, A V, Lyon, G J, Leppert, M, Morgan, J, Weiss, R, Grados, M A, Anderson, K, Davarya, S, Singer, H, Walkup, J, Jankovic, J, Tischfield, J A, Heiman, G A, Gilbert, D L, Hoekstra, P J, Robertson, M M, Kurlan, R, Liu, C, Gibbs, J R, Singleton, A, Hardy, J, Strengman, E, Ophoff, R A, Wagner, M, Moessner, R, Mirel, D B, Posthuma, D, Sabatti, C, Eskin, E, Conti, D V, Knowles, J A, Ruiz-Linares, A, Rouleau, G A, Purcell, S, Heutink, P, Oostra, B A, McMahon, W M, Freimer, N B, Cox, N J, and Pauls, D L

Published
2013
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