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8. Abstracts

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Derlon J. M., Petit-taboué M. C., Dauphin F., Courtheoux P., Chapon F., Creissard P., Darcel F., Houtteville J. P., Kaschten, B., Sadzot, B., Stevenaert, A., Tjuvajev, Juri G., Macapinlac, Homer A., Daghighian, Farhad, Ginos, James Z., Finn, Ronald D., Jiaju Zhang, M. S., Beattie, Bradley, Graham, Martin, Larson, Steven M., Blasberg, Ronald G., Levivier, M., Goldman, S., Pirotte, B., Brucher, J. M., Balériaux, D., Luxen, A., Hildebrand, J., Brotchi, J., Go K. G., Kamman R. L., Mooyaart E. L., Heesters M. A. A. M., Sijens, P. E., Oudksrk, M., van Dijk, P., Levendag, P. C., Vecht, Ch. J., Metz, R. J., Kennedy, D. N., Rosen, B. R., Hochberg, F. H., Fishman, A. J., Filipek, P. A., Caviness, V. S., Gross, M. W., Weinzierl, F. X., Trappe, A. E., Goebel, W. E., Frank, A. M., Becker, Georg, Krone, Andreas, Schmidt, Karsten, Hofmann, Erich, Bogdahn, Ulrich, Bencsch, H., Fclber, S., Finkenstedt, G., Kremser, C., Sfockhammer, G., Aichner, F., Bogdahn U., Fröhlich T., Becker G., Krone A., Schlief R., Schürmann J., Jachimczak P., Hofmann E., Roggendorf W., Roosen K., Carapella, C. M., Carpinelli, G., Passalacqua, R., Raus, L., Giannini, M., Mastrostefano, R., Podo, F., Tofani, A., Maslrostefano, R., Mottoles, M., Ferraironi, A., Scelsa, M. G., Oppido, P., Riccio, A., Maini, C. L., Collombier, L., Taillandier, L., Dcbouverie, M., Laurens, M. H., Thouvenot, P., Weber, M., Bertrand, A., Cruickshank G. S., Patterson J., Hadley D., De Witte, Olivier, Hildebrand, Jerzy, Luxen, André, Goldman, Serge, Ernestus, R. -I., Bockhorst, K., Eis, M., Els, T., Hoehn-Berlage, M., Gliese, M., Fründ, R., Geissler, A., Woertgen, C., Holzschuh, M., Goldman, Serge, Levivier, M., Pirotte, B., Brucher, J. M., Luxen, A., Brotchi, J., Hildebrand, J., Hausmann, O., Merlo, A., Jerrnann, E., Uirich, J., Chiquet-Ehrismann, R., Müller, J., Mäcke, H., Gratzl, O., Herholz, K., Ghaemi, M., Würker, M., Pietrzyk, U., Heiss, W. -D., Kotitschke, K., Brandl, M., Tonn, J. C., Haase, A., Bogdahn, U., Kotitschke, K., Muigg, S., Felber, S., Aichner, F., Haase, A., Bogdahn, U., Krone A., Becker G., Woydt M., Roggendorf W., Hofmann E., Bogdahn U., Roosen K., Lanfermann, Heinrich, Heindel, Walter, Kugel, Harald, Erneslus, Ralf -Ingo, Röhn, Gabricle, Lackner, Klaus, Metz, R. J., Kennedy, D. N., Pardo, F. S., Kutke, S., Sorensen, A. G., Hochberg, F. H., Fishman, A. J., Filipek, P. A., Rosen, B. R., Caviness, V. S., Mechtler, L. L., Withiam-Lench, S., Shin, K., Klnkel, W. R., Patel, M., Truax, B., Kinkel, P., Shin, K., Mechtler, L., Ricci M., Pantano P., Maleci A., Pierallini S., Di Stefano D., Bozzao L., Cantore G. P., Röhn, Gabriele, Els, T., Schröder, R., Hoehn-Berlage, M., Ernestus, R. -I., Ruda, R., Mocellini, C., Soffietti, R., Campana, M., Ropolo, R., Riva, A., de Filippi, P. G., Schiffer, D., Salgado D., Rodrigues M., Salgado L., Fonseca A. T., Vieira M. R., Bravo Marques J. M., Satoh, H., Uozumi, T., Kiya, K., Kurisu, K., Arita, K., Sumida, M., Ikawa, F., Tzuk-Shina, Tz., Gomori, J. M., Rubinstein, R., Lossos, A., Siegal, T., Vaalburg, W., Paans, A. M. J., Willemsen, A. T. M., van Waarde, A., Pruim, J., Visser, G. M., Go, K. G., Valentini, S., Ting, Y. L. T., De Rose, R., Chidichimo, G., Corricro, G., van Lcycn-Pilgram, Karin, Erncslus, Ralf -Ingo, Klug, Norfried, van Leyen-Pilgram, K., Ernestus, R. -I., Schröder, R., Klug, N., Woydt M., Krone A., Tonn J. C., Becker G., Neumann U., Roggendorf W., Roosen K., Plate, Karl H., Breier, Georg, Millaucr, Birgit, Weich, Herbert A., Ullrich, Axel, Risau, Werner, Roosen N., Chopra R. K., Mikkelsen T., Rosenblum S. D., Yan P. S., Knight R., Windham J., Rosenblum M. L., Schiffer, D., Attanasio, A., Cavalla, P., Chio, A., Giordana, M. T., Migheli, A., Amberger, V., Hensel, T., Schwab, M. E., Cervoni, Luigi, Celli, Paolo, Tarantino, Roberto, Huettner, C., Tonn, J. C., Berweiler, U., Roggendorf, W., Salmon, I., Rorive, S., Rombaut, K., Pirotte, B., Haot, J., Brotchi, J., Kiss, R., Maugard-Louboutin C., Charrier J., Fayet G., Sagan C., Cuillioere P., Ricolleau G., Martin S., Menegalli-Bogeelli D., Lajat Y., Resche F., Molnàr, Péter, Bárdos, Helga, Ádány, Róza, Rogers, J. P., Pilkington, G. J., Pollo, B., Giaccone, G., Allegranza, A., Bugiani, O., Prim, J., Badia, J., Ribas, E., Coello, F., Shezen, E., Lossos, A., Abramsky, O., Siegal, T., Scerrati M., Roselli R., Iacoangeli M., Pompucci A., Rossi G. F., Deeb, Saleh M. Al., Koreich, Osama, Yaqub, Basim, Moutaery, Khalaf R. Al., Giordana, M. T., Cavalla, P., Chio, A., Marino, S., Vigliani, M. C., Schiffer, D., Deburghgraeve, V., Darcel, F., Gedouin, D., Hassel, M. Ben, Guegan, Y., Jeremic, B., Grujicic, D., Antunovic, V., Matovic, M., Shibamoto, Y., Kallio, Merja, Huhmar, Helena, Kudoh, Ch., Detta, A., Sugiura, K., Hitchcock, E. R., Mastrostefano, R., Di Russo, R., Cipriani§, M., Occhipinti, E. M., Conti, E. M. S., Clowegeser A., Ortler M., Seiwald M., Kostron H., Rajan B., Ross G., Lim C., Ashlcy S., Goode D., Traish D., Brada M., Sanden, G. A. C. vd, Schouten, L. J., Coebergh, J. W. W., Razenberg, P. P. A., Twijnstra, A., Snilders-Keilholz, A., Voormolen, J. H. C., Hermans, J., Leer, J. W. H., Taillandier, L., Baylac, F., Dcbouvcrie, M., Anxionnal, R., Bracard, S., Vignand, J. M., Duprcz, A., Weber, M., Winking, M., Böker, D. K., Simmet, T., Rothbart, David, Strugar, John, Balledux, Jeroen, Criscuolo, Gregory R., Jachimczak, Piotr, Blesch, Armin, Heβdörfer, Birgit, Bogdahn, Ulrich, Ernestus, Ralf -Ingo, Schröder, Roland, Klug, Norfrid, Krouwer, H. G. J., Duinen, S. G. v., Algra, A., Zentner, J., Wolf, H. K., Ostertun, B., Hufnagel, A., Campos, M. G., Solymosi, L., Schramm, J., Newlands, E. S., O'Reilly, S. M., Brampton, M., Soffietti, R., Chio, A., Mocellini, C., Ruda, R., Vigliani, M. C., Schiffer, D., Sciolla, R., Seliak, D., Henriksson, R., Bergenheim, A. T., Björk, P., Gunnarsson, P. -O., Hariz, Ml., Grant, R., Collie, D., Gregor A., Ebmeier K. P., Jarvis G., Lander F., Cull A., Sellar R., Brada, M., Thomas, C., Elyan, S., Hines, F., Ashley, S., Stenning, S., Bernstein J. J., Goldberg W. J., Roelcke U., Von Ammon K., Hausmann O., Radu E. W., Kaech D., Leenders K. L., Fitzek, II, M. M., Aronen J. Efird, Hochberg, F., Gruber, M., Schmidt, E., Rosen, B., Flschman, A., Pardo, P., Afra U. M. U., Sipos, L., Slouik, F., Boiardi A., Salmaggi A., Pozzi A., Farinotti L., Fariselli L., Silvani A., Brandes, A., Scelzi, E., Rigon, A., Zampieri, P., Pignataro, M., Amanzo, P. D'., Amista, P., Rotilio, A., Fiorentino, M. V., Thomas, R., Brazil, L., O'Connor, A. M., Ashley, S., Brada, M., Salvati, Maurizio, Cervoni, Luigi, Puzzilli, Fabrizio, Cervoni, Luigi, Salvati, Maurizio, Raguso, Michele, Cruickshank G. S., Duckworth R., Rumpling R., Rottuci M., Fariselli L., Boiardi A., Broggi G., Plrint, N. G., Sabattini, E., Manetto, V., Gambacorta, H., Poggi, S., Pileri, S., Ferracini, R., Grant, R., Plev D. V., Hopf N. J., Knosp E., Bohl J., Perncczky A., Kiss, R., Salmon, I., Catnby, I., Dewitte, O., Brotchi, J., Pasteels, J. L., Camby, I., Salmon, I., Darro, F., Danguy, A., Brotchi, J., Pasteels, J. L., Kiss, R., Kiu, M. C., Lai, G. M., Yang, T. S., Ng, K. T., Chen, J. S., Chang, C. N., Leung, W. M., Ho, Y. S., Rychter, M. Deblec, Klimek, A., Liberski, P. P., Karpinaka, A., Krauseneck P., Schöffel V., Müller B., Kreth, F. W., Faist, M., Warnke, P. C., Ostertag, C. B., Nielen, K. M. B. v., Visscr, M. C., Lebrun C., Lonjon M., Desjardin T., Michiels J. F., Chanalet Sa. Lagrange J. L., Roche J. L., Chatel M., Mastronardi L., Puzzilli F., Osman Farah J., Lunardi P., Matsutani, M., Ushio, Y., Takakura, K., Menten, Johan, Hamers, Han, Ribot, Jacques, Dom, René, Tcepen, Hans, Müller B., Weidner N., Krauseneck P., Naujocks, G., van Roost, D., Wiestler, O. D., Kuncz, A., Nieder, C., Setzel-Sesterhein, M., Niewald, M., Schnabel, I., O'Neill, K. S., Kitchen, N. D., Wilkins, P. R., Marsh, H. T., Pierce, E., Doshi, R., Deane, R., Previtali, S., Quattrini, A., Nemni, R., Ducati, A., Wrabetz, L., Canal, N., Punt, C. J. A., Stamatakis, L., Giroux, B., Rutten, E., Quigley, Matthew R., Beth Sargent P. A. -C., Flores, Nicholas, Simon, Sheryl, Maroon, Joseph C., Quigley, Matthew R., Beth Sargent P. A. -C., Flores, Nicholas, Maroon, Joseph C., Rocca A. A., Gervasoni C., Castagna A., Picozzi P., Giugni E., Rocca A. A., Tonnarelli G. P., Ducati A., Mangili F., Truci G., Canal N., Giovanelli M., Roelcke U., Von Ammon K., Radu E. W., Leenders K. L., Sachsenheimer, W., Bimmler, T., Seiwald M., Eiter H. Rhomberg W., Ortler M., Obwegesser A., Kostron H., Steilen H., Henn W., Moringlane J. R., Kolles H., Feiden W., Zang K. D., Sleudel W. I., Steinbrecher, Andreas, Schabet, Martin, Heb, Clemens, Bamberg, Michael, Dichgans, Johannes, Stragliotto, G., Delattre, J. Y., Poisson, M., Zampieri, P., Brandes, A., Rigon, A., Tosatto, L., D'Amanzo, P., Menicucci, N., Rotilio, A., Mingrino, S., Steudel, W. I., Feld, R., Henn, W., Zang, K. D., Maire, J. Ph., Caudry, M., Guerin, J., Celerier, D., Salem, N., Demeaux, H., Fahregat, J. F., Kusak, M. E., Bucno, A., Albisua, J., Jerez, P., Sarasa, J. L., Garefa, R., de Campos, J. M., Kusak, M. E., de Campos, J. M., Bueno, A., García-Delgado, R., Sarasa, J. L., García-Sola, R., Lantsov A. A., Shustova T. I., Lcnartz, D., Wellenreuther, R., von Deirnling, A., Köning, W., Menzel, J., Scarpa, S., Manna, A., Reale, M. G., Oppido, P. A., Carapella, C. M., Frati, L., Valery, C. A., Ichen, M., Foncin, J. P., Soubrane, C., Khayat, D., Philippon, J., Vaz, R., Cruz, C., Weis S., Protopapa D., März R., Winkler P. A., Reulen H. J., Bise K., Beuls E., Berg J., Deinsberger, W., Böker, D. K., Samii, M., Caudry, M., Darrouzet, V., Guérin, J., Trouette, R., Causse, N., Bébéar, J. P., Parker, F., Vallee, J. N., Carlier, R., Zerah, M., Lacroix-Jousselin, C., Piepmeier, Joseph M., Kveton, John, Czibulka, Agnes, Tigliev G. S., Chernov M. P., Maslova L. N., Valdueza, José M., Jänisch, Werner, Bock, Alexander, Harms, Lutz, Bessell, E. M., Graus, F., Punt, J., Firth, J., Hope, T., Koriech, Osama, Al Deeb, Saleh, Al Moutaery, Khalaf, Yaqub, B., Silvani A., Salmaggi A., Pozzi A., Franzini A., Boiardi A., Goldbrunner, R., Warmuth-Metz, M., Paulus, W., Tonn, J. -Ch., Roosen, K., Strik I. I., Müller B., Markert C., Pflughaupt K. -W., Krauseneck P., O'Neill, B. P., Dinapoli, R. P., Voges, J., Sturm, V., Deuß, U., Traud, C., Treuer, H., Lehrke, R., Kim, D. G., Müller, R. P., Alexandrov Yu. S., Moutaery, K., Aabed, M., Koreich, O., Ross, G. M., Rajan, B., Traish, D., Ashley, S., Ford, D., Brada, M., Schmeets, I. L. O., Jager, J. J., Pannebakker, M. A. G., de Jong, J. M. A., van Lindert, E., Knosp, E., Kitz, K., Blond, S., Dubois, F., Assaker, R., Baranzelli, M. C., Sleiman, M., Pruvo, J. P., Coche-Dequeant, B., Matsutani M., Takakura K., Sano K., PetriČ-Grabnar, G., Jereb, B., Župančič, N., Koršič, M., Rainov N. G., Burkert W., Ushio, Yukitaka, Kochi, Masato, Itoyama, Youichi, de Campos, J. M., Kusak, M. E., Sarasa, J. L., García, R., Bueno, A., Ferrando, L., Hoang-Xuan, K., Sanson, M., Merel, P., Delattre, J. Y., Poisson, M., Delattre, O., Thomas, G., Hoang-Xuan, K., Delattre, J. Y., Poisson, M., Thomas, G., Haritz, D., Obersen, B., Grochulla, F., Gabel, D., Haselsberger K., Radner H., Pendl G., Brada, M., Laing, R. W., Warrington, A. P., Nowak, P. J. C. M., Kolkman-Deurloo, I. K. K., Visser, A. G., Berge, Hv. d., Niël, C. G. J. H., Levendag, P. C., Bergström P., Hariz M., Löfroth P. -O., Bergenheim T., Henriksson R., Blond, S., Assaker, R., Cortet-rudelli, C., Dewailly, D., Coche-dequeant, B., Castelain, B., Dinapoli, R., Shaw, E., Coffey, R., Earle, J., Foote, R., Schomberg, P., Gorman, D., Girard N., Courel M. N., Delpech B., Haselsberger K., Friehs G. M., Schröttner O., Pendl G., Pötter, R., hawliczek, R., Sperveslage, P., Prott, F. J., Wachter, S., Dieckmann, K., Würker, M., Herholz, K., Pietrzyk, U., Voges, J., Treuer, H., Sturm, V., Bauer, B., Heiss, W. -D., Jund, R., Zimmermann, F., Feldmann, H. J., Gross, M. W., Kneschaurek, P., Molls, M., Lederman, G., Lowry, J., Wertheim, S., Voulsinas, L., Fine, M., Lederman, G., Lowry, J., Wertheim, S., Fine, M., Voutsinas, I., Qian, G., Rashid, H., Lederman, G., Lowry, J., Wertheim, S., Fine, M., Voulsinas, L., Qian, G., Rashid, H., Moutaery, K., Aabed, M., Koreich, O., Scerrati M., Montemaggi P., Iacoangeli M., Pompucci A., Roselli R., Trignani R., Rossi G. F., Shin, K., Mechtler, L., West, C., Grand, W., Shin, K., Sibata, C., West, C., Mechtler, L., Grand, W., Thomas, R., Guerrero, D., James, N., Ashley, S., Gregor, A., Brada, M., Voges, J., Sturm, V., Bramer, R., Pahlke, H., Lehrke, R., Treuer, H., Banik, N., Kim, D. G., Hövels, M., Bernsen H. J. J. A., Rijken P. F. J. W., Van der Sanden B. P. J., Hagemeier N. E. M., Van der Kogel A. J., Koehler P. J., Verbiest H., Jager J., Vecht Ch. J., Ross G. M., McIlwrath A., Brown R., Mottolesb, C., Pierre'Kahn, A., Croux, M., Roche, J. L., Marchai, J., Delhemes, P., Tremoulet, M., Stilhart, B., Chazai, J., Caillaud, P., Ravon, R., Passacha, J., Bouffet, E., Dirven C. M. F., Mooy J. J. A., Molenaar W. M., Lewandowicz, G. M., Grant, N., Harkness, W., Hayward, R., Thomas, D. G. T., Darling, J. L., Delepine, N., Subovici I. I., Cornille B., Markowska S., Alkallaf JC. Desbois, KühI, J., Niethammer, D., Spaar, H. J., Gnekow, A., Havers, W., Berthold, F., Graf, N., Lampert, F., Maass, E., Mertens, R., Schöck, V., Aguzzi, A., Boukhny, A., Smirtukov, S., Prityko, A., Hoiodov, B., Geludkova, O., Nikanorov, A., Levin, P., Rothbart, David, Balledux, Jeroen, Criscuolo, Gregory R., D'haen, B., Van Calenbergh, F., Casaer, P., Dom, R., Menten, J., Goffin, J., Plets, C., Hertel, A., Hernaiz, P., Seipp, C., Siegler, K., Baum, R. P., Maul, F. D., Schwabe, D., Jacobi, G., Kornhuber, B., Hör, G., Menten, J., Casaer, P., Pilkington, G. J., Merzak, A., Rooprai, H. K., Bullock, P., van Domburg P. H. M. F., Wesseling P., Thijssen H. O. M., Wolff, J. E. A., Boos, J., Krähling, K. H., Gressner-Brocks, V., Jürgens, H., Schlegel, J., Scherthan, H., Arens, N., Stumm, Gabi, Kiessling, Marika, Merzak, A., Koochekpour, S., Pilkington, G. J., Reifenberger, G., Reifenberger, J., Liu, L., James, C. D., Wechsler, W., Collins, V. P., Fabel-Schulte, Klaus, Jachimczak, Plotr, Heßdörfer, Birgitt, Baur, Inge, Schlingensiepen, Karl -Hermann, Brysch, Wolgang, Bogdahn, Ulrich, Blesch A., Bosserhoff A. K., Apfel R., Lottspeich F., Jachimczak P., Büttner R., Bogdahn U., Cece, R., Barajon, I., Tazzari, S., Cavaletti, G., Torri-Tarelli, L., Tredici, G., Hecht, B., Turc-Carel, C., Atllas, R., Chatel, M., Gaudray, P., Gioanni, J., Hecht, F., Balledux, Jeroen, Rothbart, David, Criscuolo, Gregory R., de Campos, J. M., Kusak, M. E., Rey, J. A., Bello, M. J., Sarasa, J. L., Dubois, F., Blond, S., Parent, M., Assaker, R., Gosselin, P., Christiaens, J. L., Feld, R., Moringlane, J. R., Steudel, W. I., Schaudies, J. R., Janka M., Tonn J. C., Fischer U., Meese E., Roosen K., Remmelink, M., Salmon, I., Cras, P., Pasteels, J. L., Brotchi, J., Kiss, R., Bensadoun R. J., Frenay M., Formento J. L., Milano G., Lagrange J. L., Grellier P., Lee, J. -Y., Ernestus, R. -I., Riese, H. -H., Cervós-Navarro, J., Reutter, W., Lippitz, B., Scheitinger, C., Scholz, M., Weis, J., Gilsbach, J. M., Füzesi, L., Koochekpour, S., Merzak, A., Pilkington, G. J., Sanson, M., Li, Y. J., Hoang-Xuan, K., Delattre, J. Y., Poisson, M., Hamelin, R., Van de Kelft, Erik, Dams, Erna, Martin, Jean -Jacques, Willems, Patrick, Lehrke R., Voges J., Treuer H., Erdmann J., Müller R. P., Sturm V., Wurm R. E., Warrington A. P., Laing R. W., Sardell S., Hines F., Graham J. D., Brada M., Ushio, Yukitaka, Kuratsu, Jun -ichi, Kochi, Masato, Kitz K., Aichholzer M., Rössler K., Alesch F., Ertl A., Sorensen, P. S., Helweg-Larsen, S., Mourldsen, H., Hansen, H. H., El Sharoum, S. Y., Berfelo, M. W., Theunissen, P. H. M. H., Jager, J. J., de Jong, J. M. A., Fedorcsák, I., Nyáry, I., Osztie, É., Horvath, Á., Kontra, G., Frenay M., Burgoni-chuzel J., Paquis P., Lagrange J. L., Helweg-Larsen, S., Hansen, SW., Sørensen, PS., Salmon, I., Kiss, R., Krauseneck P., Müller B., Morche M., Tonn J. C., Lagerwaard, F. J., Levendag, P. C., Eijkenboom, W. M. H., Schmilz, P. I. M., Lentzsch S., Weber F., Franke J., Dörken B., Lunardi P., Schettini G., Osman Farah J., Qasho R., Mocellini, C., Ruda, R., Soffietti, R., Garabello, D., Sales, S., De Lucchi, R., Vasario, E., Schiffer, D., Muracciole, X., Régis, J., Manera, L., Peragut, J. C., Juin, P., Sedan, R., Nieder, C., Niewald, M., Walter, K., Schnabel, K., Nieder, C., Niewald, N., Nestle, U., Schnabel, K., Berberich, W., Oschmann, P., Theißen R. D., Reuner K. H., Kaps M., Dorndorf W., Martin, K. K., Akinwunmi, J., Rooprai, H. K., Kennedy, A., Linke, A., Ognjenovic, N., Pilkington, G. J., Svadovsky A. I., Peresedov V. V., Bulakov A. A., Butyalko M. Y., Zhirnova I. G., Labunsky D. A., Gnazdizky V. V., Gannushkina I. V., Taphoorn, M. J. B., Potman, R., Barkhof, F., Weerts, J. G., Karim, A. B. M. F., Heimans, J. J., van de Pol, M., van Aalst, V. C., Wilmink, J. T., Twijnstra, A., van der Sande, J. J., Boogerd, W., Kröger, R., Jäger A., Wismeth C., Dekant A., Brysch W., Schlingensiepen K. H., Jachimczak P., Bogdahn U., Pirolte, B., Cool, V., Gérard, C., Levivier, M., Dargent, J. L., Goldman, S., Brotchi, J., Hildebrand, J., Velu, T., Herrlinger, U., Schabet, M., Ohneseit, P., Buchholz, R., Zhu, Jianhong, Reszka, Regina, Weber, Friedrich, Walther, Wolfgang, Zhang, L. I., Brock, Mario, Roosen N., Rock J. P., Zeng H., Feng J., Fenstermacher J. D., Rosenblum M. L., Siegal, T., Gabizon, A., Beljanski M., Crochet S., Bergenheim, A. T., Zackrisson, B., Elfverson, J., Bergström, P., Henriksson, R., Butti, G., Baetta, R., Magrassi, L., De Renzis, M. R., Soma, M. R., Davegna, C., Pezzotta, S., Paoletti, R., Fumagalli, R., Infuso, L., Sankar, A. A., Darling, J. L., Thomas, D. G. T., Defer, G. -L., Brugières, P., Gray, F., Chomienne, C., Poirier, J., Degos, L., Degos, J. D., Colombo, Bruno M., DiDonato, Stefano, Finocchiaro, Gaetano, Hebeda, K. M., Sterenborg, H. J. C. M., Saarnak, A. E., Wolbers, J. G., van Gemert, M. J. C., Kaaijk P., Troost D., Leenstra S., Das P. K., Bosch D. A., Kostron H., Hochleitner B. W., Obwegeser A., Ortler M., Seiwald M., Vooys, W., Krouwer, H. G. J., de Gast, G. C., Marx, J. J. M., Osman Farah J., Lunardi P., Puzzilli F., Menovsky, T., Beek, J. F., Wolbers, J. G., van Gemert, M. J. C., Naujocks, G., Wiestler, O. D., Schirrmacher, V., Schramm, J., Schmitz, A., Eis-Hübinger, A. M., Piepmeier, p. h., Pedersen, Patricia, Greer, Charles, Quigley, Matthew R., Shih, Tommy, Elrifal, Amr, Rothfus, William, Maroon, Joseph C., Rohertson, L., Rampling, R., Whoteley, T. L., Piumb, J. A., Kerr, D. J., Falina, P. A., Crossan, I. M., Roosen N., Rock J. P., Feng J., Zeng H., Ho K. L., Fenstermacher J. D., Rosenblum M. L., Ruchoux, M. M., Vincent, S., Jonca, F., Plouet, J., Lecomte, M., Samid, D., Thibault, A., Ram, Z., Oldfield, E. H., Myers, C. E., Reed, E., Schabet, M., Herrlinger, U., Buchholz, R., Shoshan, Y., Siegal, T., Siegal, T., Shezen, E., Siegal, Tz., Stockhammer, G., Rosenblum, M., Samid, D., Lieberman, F., Terzis, A. J. A., Bjerkvig, R., Laerum, O. D., Arnold, H., Thibault, A., Samid, D., Figg, W. D., Myers, C. E., Reed, E., Thomas, R., Flux, G., Chittenden, S., Doshi, P., Brazil, L., Thomas, D. G. T., Bignor, D., Zalutsky, M., Brada, M., Tjuvajev, Juri, Kaplitt, Michael, Desai, Revathi, Bradley, M. S., Bettie B. S., Gansbacher, Bernd, Blasberg, Ronald, Haugland, H. K., Saraste, J., Rooseni, K., Laerum, O. D., Vincent, A. J. P. E., Avezaat, C. J. J., Bout, A., Noteboom, J. L., Vecht, C. h., Valerio, D., Hoogerbrugge, P. M., Weber, F., Reszka, R., Zhu, J., Walther, W., List, J., Schulz, W., Wolbers, J. G., Sterenborg, I. I. J. C. M., Kamphorst, W., van Gemert, M. J. C., van Alplien, H. A. M., Salander P., Bergenheim T., Henriksson R., Grant, R., Brazil, L., Thomas, R., Guerrero, D., Laing, R., Ashley, S., Brada, M., Schmidt B., Bauer B., Grau G., Bohnstedt, T., Frydrych A., Franz K., Lorenz R., Brandes, A., Amanzo, P. D'., Zampieri, P., Rigon, A., Scelzi, E., Rotilio, A., Berti, F., Paccagnella, A., Fiorentino, M. V., Müller B., Krauseneck P., van Deventer, P. L., Dellemijn, P. L. I., van den Bent, M. J., Vecht, Ch. J., Kansen, P. J., Tredici, G., Petruccioli, N. G., Cavaletti, G., Cavalletti, E., Kiburg, B., Müller, L. J., Moorer-van Delft, C. M., Heimans, J. J., Boer, H. H., Pace A., Bove L., Pietrangeli A., Innocenti P., Aloe A., Nardi M., Jandolo B., Kellie S. J., De Graaf S. S. N., Bloemhof H., Roebuck D., Dalla Pozza L., Uges D. D. R., Johnston I., Besser M., Chaseling R. A., Koeppen, S., Gründemann, S., Lossos, A., Siegal, T., Nitschke M., Vieregge P., Reusche E., Rob P., Kömpf D., Postma, T. J., Vermorken, J. B., Heimans, J. J., Rampling R. P., Dunlop D. J., Steward M. S., Campbell S. M., Roy S., Hilkens, P. H. E., Verweij, J., van Putten, W. L. J., Vecht, Ch. J., van den Bent, M. J., Hilkens, P. H. E., Moll, J. W. B., van der Burg, M. E. L., Planting, A. S. T., van Putten, W. L. J., Vecht, Ch. J., van den Bent, M. J., Wondrusch E., Zifko U., Drlicek M., Liszka U., Grisold W., Zifko U., Fazeny B., Dittrich Ch., Wondrusch E., Grisold W., Verschuuren, Jan J., Meneses, Patricio I., Rosenfeld, Myrna R., Kaplitt, Michael G., Posner, Jerome B., Dalmau, Josep, Sillevis Smitt P. A. E., Manley G., Posner J. B., Cavaletti, G., Bogliun, G., Margorati, L., Bianchi, G., Drlicek, M., Liska, U., Casati, B., Kolig, C., Grisold, H., Graus, F., Reñe, R., Uchuya, M., Valldeoriola, F., Delattre, J. Y., Benedetti de Cosentiro C., Ortale D., Martinez R., Lambre J., Cagnolati S., Vinai C., Salmaggi A., Nemni R., Silvani A., Forno M. G., Luksch R., Confalonieri P., Boiardi A., Nitschke M., Scholz J., Vieregge P., Kömpf D., Hochberg F. H., Pfeiffer, G., Netzer, J., Hansen, Ch., Eggers, Ch., Hagel Ch., Kunze, K., Verschuuren, Jan J., Rosenblum, Marc K., Lieberman, Frank S., Posner, Jerome B., and Dalmau, Josep

Published
1994
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10. Das Lebenserwartungsdefizit als Mass zur Beurteilung der Lebensverkürzenden Wirkung von Tumorerkrankungen

Author

Gräber, S., Kolles, H., Seitz, G., Niemeyer, A. H., Überla, K., editor, Rienhoff, O., editor, Victor, N., editor, Selbmann, Hans-Konrad, editor, Dietz, Klaus, editor, Bauer, P., editor, van Eimeren, W., editor, Epstein, P., editor, Greiser, E., editor, Koller, S., editor, Michaelis, J., editor, Möhr, J. R., editor, Neiß, A., editor, Wagner, G., editor, Wahrendorf, J., editor, and Wilde, E., editor

Published
1988
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11. Postersitzung 2: Das metastasierte Prostatakarzinom

Author

die urologische Arbeitsgruppe Süd-Ost Niederlande, Seitz, G., Kolles, H., Niemeyer, A.-H., Wernert, N., Dhom, G., Allhoff, E., Franzen, W., Engelking, R., Csapo, Z., Weißmüller, J., Sigel, A., Oremek, G., Seiffert, U. B., Siede, W. H., Kirsten, R., Heinert, G., Breul, J., Kreuzfelder, E., Behrendt, J., Kirchheimer, J. C., Christ, G., Pflüger, H., Binder, B. R., Helpap, B., Abadi, H.-Al, Nagel, R., Wallenberg Pachaly, H. V., Gatto, M., Fernandez del Moral, P., Hoefakker, J. W., Debruyne, F. M. J., Kramer, W., Sandow, J., Althoff, P.-H., Balducci, M., Jonas, D., Bergner, S., Ringert, R. H., Rössler, W., Wieland, W., Tischer, F., Peters, H.-P., Wirth, M., Grups, J., Heckl, W., Frohmüller, H., Walther, R., Schrott, K. M., Petrow, V., Frankenschmidt, A., Sommerkamp, H., Wenderoth, U. K., Frohneberg, D., Elsäßer, E., Hautmann, R., Elsäßer, A., Jacobi, G. H., and Ackermann, Rolf, editor

Published
1988
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13. Automated grading of astrocytomas based on histomorphometric analysis of Ki-67 and Feulgen stained paraffin sections. Classification results of neuronal networks and discriminant analysis

Author

Kolles, H., Aldo von Wangenheim, Vince, G. H., Niedermayer, I., and Feiden, W.

Subjects
Ki-67 Antigen, Paraffin Embedding, Data Interpretation, Statistical, Image Processing, Computer-Assisted, Discriminant Analysis, Humans, Nuclear Proteins, Reproducibility of Results, Neural Networks, Computer, Astrocytoma, Neoplasm Proteins
Abstract

In stereotactically obtained astrocytoma biopsies, four morphometric nuclear parameters were determined with the use of an image analysis system. A special Ki-67 (MIB1)/Feulgen stain made it possible to quantify the essential characteristics of gliomas of the astrocytoma/glioblastoma group: growth pattern, cellularity, proliferation tendency and nucleus pleomorphism. A grading scale based on a cluster analysis resembling the WHO-scheme, which is suitable for automated astrocytoma grading, was developed. Large back propagation neural networks were used and their results compared with those of a classical multivariate discriminant classification analysis. It is possible to show that the neural network technology is superior to the statistical approach for automated astrocytoma grading. Based on the results of our study we believe neural network technology to be useful for tumour grading problems. The presented approach can be generalized for the automated grading of other tumour entities.

Published
1995

14. An electronic tutorial of neurosurgical pathology--application of multi-media in clinical pathology

Author

Kolles H, Giles Vince, Niedermayer I, and Feiden W

Subjects
Pathology, Clinical, Neurosurgery, Internship and Residency, Computer-Assisted Instruction
Abstract

We present an electronic tutorial of neurosurgical pathology developed for standard MS-DOS-computers. No additional software requirements are necessary. Digital pictures are displayed on the computer screen in Super-VGA quality. The user interface allows a dialogue between the pathologist and the engine. The dialogue component consists of scroll bar menus with lists of possible suggestions and answers. For each case the user is supplied with the basic clinical information and a set of representative pictures of the histological specimens. In some cases radiographs and CT-images are available. During the consultation session both routine and special staining methods are available on request. If the user proposes a wrong diagnosis the system offers a commentary. The presented cases are part of a teaching series developed for residents in neuropathology.

Published
1993

18. Meningeome

Author

Niedermayer, I., primary, Kolles, H., additional, Henn, W., additional, Zang, K. D., additional, Steudel, W.-I., additional, and Feiden, W., additional

Published
1997
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23. [Computer assisted grading of gliomas of the astrocytoma/glioblastoma groups]

Author

Kolles H, von Wangenheim A, Niedermayer I, Giles Vince, and Feiden W

Subjects
Automation, Ki-67 Antigen, Multivariate Analysis, Cluster Analysis, Discriminant Analysis, Humans, Nuclear Proteins, Diagnosis, Computer-Assisted, Glioma, Astrocytoma, Glioblastoma, World Health Organization, Neoplasm Proteins
Abstract

For automated astrocytoma grading morphometric parameters are determined by means of an image analysis system and a special Ki-67(MIB1)/Feulgen-staining method allowing the quantification of the essential characteristics of malignant gliomas: growth pattern, cellularity, proliferation index and nucleus pleomorphism. Based upon a cluster analytical approach a grading scale resembling the WHO-scheme is established which is suitable for automatic glioma grading purposes (HOM-scale). For automatic glioma grading backpropagation neural networks are employed. The results are compared with those of a classical multivariate discriminant classificatory analysis. The presented approach can also be employed for automatic grading of other tumour entities.

26. Hyperfractionated and accelerated-hyperfractionated radiotherapy for glioblastoma multiforme.

Author

Nieder C, Nestle U, Ketter R, Kolles H, Gentner SJ, Steudel WI, and Schnabel K

Subjects
Adolescent, Adult, Aged, Brain diagnostic imaging, Brain Neoplasms diagnostic imaging, Brain Neoplasms mortality, Disease-Free Survival, Dose Fractionation, Radiation, Female, Glioblastoma diagnostic imaging, Glioblastoma mortality, Humans, Karnofsky Performance Status, Male, Middle Aged, Prospective Studies, Radiotherapy Planning, Computer-Assisted, Time Factors, Tomography, X-Ray Computed, Brain Neoplasms radiotherapy, Glioblastoma radiotherapy
Abstract

Because of promising radiobiological advantages allowing dose escalation and/or reduction of treatment time, hyperfractionated and accelerated-hyperfractionated radiotherapy (hf-rt, ahf-rt) were introduced as part of treatment of glioblastoma multiforme (gbm). In December 1988 we started a prospective study of hf-rt (total dose 78 Gy, two daily fractions of 1.3 Gy, interval between daily fractions 6 hr, treatment time 6 weeks, n = 34 patients). The results were compared with our previous regimen of conventionally fractionated radiotherapy (cf-rt: total dose 60 Gy, single dose 2 Gy, treatment time 6 weeks, n = 32 patients). In June 1990, the protocol was modified in order to reduce treatment time (ahf-rt: total dose 60 Gy, two daily fractions of 1.5 Gy, interval 6 hr, treatment time 4 weeks, n = 92 patients until December 1996). No chemotherapy was given. Entry criteria were: age > or = 17 years, pathological diagnosis of supratentorial gbm, and no previous treatment other than surgery. The ahf-rt group included significantly more patients with previous surgical resection instead of biopsy only. Compared with the cf-rt group, both the hf-rt and the ahf-rt group included significantly more patients with frontal tumor location. We found no significant survival difference between the groups (median survival 7-10 months, 1-year survival rate 19%-29%). Progression-free survival, clinical course, and toxicity were also not significantly different. Karnofsky performance status, age, and corticosteroid dose during radiotherapy were the most important prognostic factors. The results of this trial are in large agreement with most previous publications. It demonstrated no improved survival. However, it showed that treatment time can be reduced by ahf-rt without loss of survival benefit or intolerable toxicity. A short radiotherapy course might be appropriate for many patients with gbm who are not suitable for rather aggressive investigational therapies.

Published
1999
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27. Oligodendrogliomas. Part II: A new grading system based on morphological and imaging criteria.

Author

Daumas-Duport C, Tucker ML, Kolles H, Cervera P, Beuvon F, Varlet P, Udo N, Koziak M, and Chodkiewicz JP

Subjects
Brain Neoplasms diagnostic imaging, Brain Neoplasms mortality, Cell Division, Chi-Square Distribution, Female, Humans, Magnetic Resonance Imaging, Male, Oligodendroglioma diagnostic imaging, Oligodendroglioma mortality, Retrospective Studies, Survival Rate, Time Factors, Tomography, X-Ray Computed, Brain Neoplasms classification, Brain Neoplasms pathology, Oligodendroglioma classification, Oligodendroglioma pathology
Abstract

This second part of our study of 'pure' oligodendrogliomas focuses on survival data analysis. In order to identify potentially useful prognostic factors and to assess the effectiveness of a new grading system, the 79 patients in the previously analyzed series for whom adequate follow-up could be obtained (52%) were entered in the present analysis. Statistical analysis demonstrated that contrast enhancement and endothelial hyperplasia had powerful and similar influence on survival. Median survival with and without contrast enhancement were: 3 versus 11 years, and with or without endothelial hyperplasia were: 3.5 versus 11 years. Conversely, the degree of nuclear atypia and presence or absence of mitosis or necrosis were not correlated with survival. These findings allowed us to devise a simple grading system which discriminates two malignancy grades as follows: absence of endothelial hyperplasia and of contrast enhancement = Grade A, presence of endothelial hyperplasia and/or of contrast enhancement = Grade B. Of the 79 oligodendrogliomas in this study, 59 tumors were categorized as grade A and 20 as grade B. Median survival were: 11 years in grade A and 3.5 years in grade B. Five-year and 8-year survival rates were: 89% and 60% in grade A and: 33% and 15% in grade B. Double blind grading between two independent observers was concordant in 96% of the cases. Application of this simple efficient and reproducible grading scheme should permit reliable comparison of retrospective or prospective therapeutic data emanating from various institutions.

Published
1997
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28. Histologic and morphometric grading of gliomas. A comparative survival analysis.

Author

Niedermayer I, Kolles H, and Feiden W

Subjects
Adult, Aged, Brain Neoplasms chemistry, Cell Nucleus chemistry, Cell Nucleus pathology, Female, Glioma chemistry, Humans, Image Processing, Computer-Assisted, Immunohistochemistry, Ki-67 Antigen analysis, Male, Mathematics, Middle Aged, Retrospective Studies, Survival Rate, Brain Neoplasms mortality, Brain Neoplasms pathology, Glioma mortality, Glioma pathology
Abstract

Objective: A grading system based upon morphometrically assessed quantitative parameters (HOM system) was correlated with the results of classical histologic grading (St. Anne/Mayo system [SAMS], 1988, and World Health Organization classification, 1993). Validation was done by comparison with survival data., Study Design: This retrospective study consisted of representative paraffin-embedded tissue sections of 139 adults who had been surgically treated for supratentorial common gliomas between 1988 and 1994. Histologic grading diagnoses were adapted to the latest standard. Computer-assisted image analysis of Ki-67 (MIB1)/ Feulgen-stained sections provided nuclear parameters appropriate to define homogeneous grades of malignancy by multivariate statistical analyses: average segment length of the minimum spanning trees (ASLMST) for the quantitation of tumor growth pattern; nuclear area percentage (NAP), reflecting cellularity; and volume-weighted mean nuclear volumes (vV) for estimating nuclear size and pleomorphism., Results: Analysis of survival data yielded no statistically significant differences between astrocytomas and oligoastroacytomas (Lee-Desu test, alpha = 5%). Furthermore, only two prognostically different grades could be established, "low grade" and "high grade" gliomas, with the first representing SAMS grades 2 and 3 and the latter SAMS grade 4 (alpha = .1%). The same applied to HOM grades (alpha = .1%). Cox regression analysis of survival data demonstrated that histologic grading diagnoses and NAP tallied best with patients' outcome.

Published
1997

29. Characterization of intermediate type (WHO "atypical") meningiomas.

Author

Niedermayer I, Kolles H, Zang KD, and Feiden W

Subjects
Adult, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, World Health Organization, Meningeal Neoplasms classification, Meningeal Neoplasms pathology, Meningioma classification, Meningioma pathology
Abstract

The intermediate type meningioma (formerly "meningioma variant with signs of increased proliferation activity"; WHO "atypical" meningioma) represents a meningioma group the mean Ki-67 index and the recurrence rate of which lie between those of the ordinary and the anaplastic type [Kolles et al. 1995]. In the study cited (n = 160) the percentage of recurrences was 9% in the common, 29% in the intermediate, and 50% in the anaplastic type. The present study focuses on 49 subsequently diagnosed meningiomas of the intermediate type. Apart from certain histopathological features, the most important independent factors associated with recurrence were Ki-67 indices covering the 95% confidence interval between 3.7% and 4.9%. At the light-microscopic level, however, meningiomas in general, and especially those supposed to belong to the intermediate type, are highly variable in tissue architecture and do, in contrast to the anaplastic type, not display frank histological features of anaplasia. Morphologically, the growth pattern of solid ("syncytial") sheets, micronecroses, and large distinct nucleoli are suspicious. Cytogenetically, independent of the loss of one chromosome 22, it has been shown that terminal loss of the short arm of one chromosome 1 (1p-) or complete loss of this chromosome were useful additional indicators of meningioma progression.

Published
1996

30. Data-driven approaches to decision making in automated tumor grading. An example of astrocytoma grading.

Author

Kolles H, von Wangenheim A, Rahmel J, Niedermayer I, and Feiden W

Subjects
Astrocytoma pathology, Disease Progression, Humans, Algorithms, Astrocytoma classification, Decision Making, Computer-Assisted, Neural Networks, Computer
Abstract

Objective: To compare four data-driven approaches to automated tumor grading based on morphometric data. Apart from the statistical procedure of linear discriminant analysis, three other approaches from the field of neural computing were evaluated., Study Design: The numerical basis of this study was computed tomography-guided, stereotactically obtained astrocytoma biopsies from 86 patients colored with a combination of Feulgen and immunhistochemical Ki-67 (MIB1) staining. In these biopsies the cell nuclei in four consecutive fields of vision were evaluated morphometrically and the following parameters determined: relative nuclei area, secant lengths of the minimal spanning trees and relative volume-weighted mean nuclear volumes of the proliferating nuclei., Results: Based on the analysis of these morphometric features, the multivariate-generated HOM grading system provides the highest correct grading rates (> 90%), whereas the two widely employed qualitative histologic grading systems for astrocytomas yield correct grading rates of about 60%. For automated tumor grading all approaches yield similar grading results; however, back-propagation networks provide reliable results only following an extensive training phase, which requires the use of a supercomputer. All other neurocomputing models can be run on simple UNIX workstations (AT&T, U.S.A)., Conclusion: In contrast to discriminant analysis, backpropagation and Kohonen networks, the newly developed neural network architecture model of self-editing nearest neighbor nets (SEN3) provides incremental learning; i.e., the training phase does not need to be restarted each time when there is further information to learn. Trained SEN3 networks can be considered ready-to-use knowledge bases and are appropriate to integrating further morphometric data in a dynamic process that enhances the diagnostic power of such a network.

Published
1996

31. Early proliferation enhancement by monosomy 10 and intratumor heterogeneity in malignant human gliomas as revealed by smear preparations from biopsies.

Author

Steilen-Gimbel H, Henn W, Kolles H, Moringlane JR, Feiden W, Steudel WI, and Zang KD

Subjects
Astrocytoma genetics, Astrocytoma pathology, Biopsy, Cell Division, Chromosomes, Human, Pair 7, Histocytological Preparation Techniques, Humans, In Situ Hybridization, Fluorescence, Ki-67 Antigen, Chromosomes, Human, Pair 10, Glioma genetics, Glioma pathology, Monosomy
Abstract

We performed simultaneous fluorescence in situ hybridization (FISH) with centromere-specific DNA probes for chromosomes 7 and 10 and Ki-67 proliferation labelling on smear preparations of 17 differentiated and anaplastic human astrocytomas and glioblastomas. In 15 of the 17 cases studied, Ki-67-positive clones differed from Ki-67-negative clones mainly by the loss of one copy of chromosome 10, either combined with or independent of trisomy 7. The findings suggest that monosomy 10 is an earlier event than generally supposed in the development of human gliomas and that it is directly related to cellular hyper-proliferation.

Published
1996
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32. [Computer-assisted speech recognition in diagnostic pathology. Development of the DragonDictate-30 K system for documentation].

Author

Kolles H and Feiden W

Subjects
Computer Peripherals, Data Collection, Humans, Documentation methods, Medical Records Systems, Computerized instrumentation, Microcomputers, Pathology instrumentation, Software, Speech
Abstract

The speech recognition system DragonDictate-30 K is the first commercially available product for personal computers (PC) that includes a thesaurus of 30,000 words which can replace the computer keyboard completely for report writing. The system is speaker-adaptative, i.e., it can learn the phonetic pattern of the pathologist's voice. We have developed a thesaurus with special terms from the field of diagnostic pathology to shorten the time-consuming training phase. DragonDictate is compatible with all text-oriented DOS computer software tools. The recommended minimal hardware configuration is a personal computer with a 80,486 processor with 16 MB on board and a 200 MB hard disk.

Published
1995

33. A dermatologic decision support system that processes lexical knowledge from standard textbooks.

Author

Kolles H and Hübschen U

Subjects
Algorithms, Diagnosis, Differential, Textbooks as Topic, Decision Making, Computer-Assisted, Dermatology education
Abstract

We present a decision support system that processes lexical fuzzy knowledge from standard pathology textbooks. The user can choose among four methods: full text and hypertext approaches (classic lexical retrieval methods) and two possibilistic, knowledge-based approaches (the fuzzy logic computation and an adapted evidence combination scheme based upon the theory of belief functions). All these methods, including their algorithms, are presented in this paper. The effectiveness of these approaches is demonstrated by examples from dermatopathology. At the top of the lists of differential diagnoses generated by the system the degree of conformity between the approaches is high.

Published
1994

34. [Computer assisted grading of gliomas of the astrocytoma/glioblastoma groups].

Author

Kolles H, von Wangenheim A, Niedermayer I, Vince GH, and Feiden W

Subjects
Astrocytoma classification, Automation, Cluster Analysis, Discriminant Analysis, Glioblastoma classification, Glioma classification, Humans, Ki-67 Antigen, Multivariate Analysis, Neoplasm Proteins analysis, Nuclear Proteins analysis, World Health Organization, Astrocytoma pathology, Diagnosis, Computer-Assisted, Glioblastoma pathology, Glioma pathology
Abstract

For automated astrocytoma grading morphometric parameters are determined by means of an image analysis system and a special Ki-67(MIB1)/Feulgen-staining method allowing the quantification of the essential characteristics of malignant gliomas: growth pattern, cellularity, proliferation index and nucleus pleomorphism. Based upon a cluster analytical approach a grading scale resembling the WHO-scheme is established which is suitable for automatic glioma grading purposes (HOM-scale). For automatic glioma grading backpropagation neural networks are employed. The results are compared with those of a classical multivariate discriminant classificatory analysis. The presented approach can also be employed for automatic grading of other tumour entities.

Published
1994

35. Combined Ki-67 and Feulgen stain for morphometric determination of the Ki-67 labelling index.

Author

Kolles H, Förderer W, Bock R, and Feiden W

Subjects
Alkaline Phosphatase immunology, Alkaline Phosphatase metabolism, Cell Nucleus ultrastructure, Coloring Agents, Glioma pathology, Humans, Hydrolysis, Image Processing, Computer-Assisted, Immunohistochemistry, Ki-67 Antigen, Neoplasm Proteins immunology, Nervous System Neoplasms pathology, Nuclear Proteins immunology, Paraffin Embedding, Staining and Labeling, Neoplasm Proteins metabolism, Nuclear Proteins metabolism, Rosaniline Dyes
Abstract

In this note we present a combined Ki-67 and Feulgen stain for morphometric determination of the Ki-67 labelling index. The immunohistochemical part of this double staining technique is based on the alkaline-phosphatase-anti-alkaline-phosphatase (APAAP) method, visualizing the enzyme activity by the nitro-blue-tetrazolium chloride (NBT)/bromo-chloro-3-indolyl-phosphate (BCIP) technique. The NBT/BCIP complex resists the hydrolytic activity of the Feulgen stain. The staining method presented allows semi-automatic determination of both the total nucleus-area as well as the Ki-67 positive nucleus-area using a morphometric computer system. The Ki-67 labelling index thus achieved is based on the relative nuclear area of Ki-67 positive nuclei and is clearly more precise and efficient than the counting method using an ocular grid.

Published
1993
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36. [Cerebral multisystem atrophy in a patient with depressive hallucinatory syndrome. A case report].

Author

Ziegler B, Tönjes W, Trabert W, and Kolles H

Subjects
Brain Stem pathology, Cerebellum pathology, Depressive Disorder pathology, Depressive Disorder psychology, Diagnosis, Differential, Female, Hallucinations pathology, Hallucinations psychology, Humans, Middle Aged, Neurocognitive Disorders pathology, Neurocognitive Disorders psychology, Neurologic Examination, Olivopontocerebellar Atrophies pathology, Olivopontocerebellar Atrophies psychology, Syndrome, Tomography, X-Ray Computed, Depressive Disorder diagnosis, Hallucinations diagnosis, Neurocognitive Disorders diagnosis, Olivopontocerebellar Atrophies diagnosis
Abstract

In a female patient, aged 47 years at the beginning, the successive appearance of extrapyramidal signs preceded by depression, paranoid-hallucinatory psychosis, autonomic and cerebellar dysfunction was followed up over a period of 8 years. Autopsy revealed--in accordance with the clinical symptomatology--both olivo-ponto-cerebellar atrophy and a striatonigral degeneration. As a rule these changes are accompanied by dementia. The reported case is unusual in having first presented with severe depression and paranoid-hallucinatory symptoms.

Published
1992

37. An electronic primer in dermatopathology.

Author

Kolles H, Herth G, and Remberger K

Subjects
Animals, Computers, Diagnosis, Computer-Assisted methods, Humans, Skin Diseases diagnosis, Skin Neoplasms diagnosis, Software, Image Processing, Computer-Assisted methods, Skin Diseases pathology, Skin Neoplasms pathology
Abstract

We present an electronic primer in dermatopathology based on a full-text retrieval system which contains all the features of traditional handbooks of dermatopathology. The system including high-resolution black and white pictures with coloured overlays runs on every personal computer with VGA card and needs no additional software and hardware equipment. The representation of pictures is improved by using high-resolution VGA cards. The system is able to work like an electronic diagnostic consultant in dermatopathology.

Published
1992
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38. How to build a computer-assisted, diagnosis-finding system. An example in dermatopathology.

Author

Kolles H and Remberger K

Subjects
Humans, Diagnosis, Computer-Assisted methods, Skin Diseases pathology, Software
Abstract

We present a computer-assisted, diagnosis-finding system based on the simple stochastic approach of Bayes; this system was realized in a standard database architecture and run on DOS personal computers. The expert knowledge in the form of specified morphologic criteria was keyed in by means of pull-down menus or downloaded if the system was linked with a reporting system according to the dBASE (Ashton-Tate, Inc, Torrance, Calif) database standard. We present a simple example in dermatopathology but the system shell can also be used for applications in other fields of pathology. This article is not restricted to general remarks about computer-assisted diagnosis finding. The compiled program and the easily comprehensible and well-documented program listings in the CLIPPER (Nantucket Corp, Los Angeles, Calif) or DOS language is available on request.

Published
1991

39. [Serous-papillary carcinoma of the uterus].

Author

Kolles H, von Seebach HB, Depper H, and Loskant G

Subjects
Adult, Aged, Cystadenocarcinoma surgery, Dilatation and Curettage, Female, Humans, Lymph Nodes pathology, Lymphatic Metastasis, Middle Aged, Uterine Neoplasms surgery, Uterus pathology, Cystadenocarcinoma pathology, Uterine Neoplasms pathology
Published
1990

41. [Life expectancy deficit (LED). A criterion for evaluating the course of malignant tumors. A statistical survey based on 70,231 malignant diseases with special reference to cases with spinal metastases].

Author

Schmitt O and Kolles H

Subjects
Breast Neoplasms mortality, Colonic Neoplasms mortality, Female, Humans, Lung Neoplasms mortality, Male, Prognosis, Prostatic Neoplasms mortality, Rectal Neoplasms mortality, Spinal Neoplasms mortality, Stomach Neoplasms mortality, Urinary Bladder Neoplasms mortality, Uterine Cervical Neoplasms mortality, Uterine Neoplasms mortality, Neoplasms mortality, Spinal Neoplasms secondary
Abstract

The deficiency of life expectancy (DLE), calculated as the difference between the statistical life expectancy at a given age and the survival time with the tumor disease, is a useful measure to extend the concept of tumor malignancy. Both the evaluation of the success of the tumor treatment and the prognosis of the metastatic spread in the vertebral column can be determined with the DLE. For the 9 most frequent tumor localizations the DLE is calculated with the material of the register of cancer in the Saarland/W. Germany (N = 70,128). In an extra part, the DLE for 50 metastases of the spine is compared to the whole cases.

Published
1986
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42. [Descriptive epidemiology and prognosis of malignant gynecologic tumors].

Author

Kolles H, Stegmaier C, von Seebach HB, and Ziegler H

Subjects
Adolescent, Adult, Aged, Breast Neoplasms mortality, Cross-Sectional Studies, Female, Germany, West, Humans, Middle Aged, Ovarian Neoplasms mortality, Prognosis, Uterine Cervical Neoplasms mortality, Uterine Neoplasms mortality, Genital Neoplasms, Female mortality, Registries
Abstract

Based on data from the Saarland (W. Germany) Cancer Registry, epidemiology and prognosis of gynaecological malignancies is presented for the period 1971-1985. Breast cancer is the most frequent gynaecological tumour followed by tumours of the uterus (cervix + corpus). This is in accordance with worldwide observations. The age distribution of all analysed tumour localisations follows approximately a normal distribution with a maximum between 60 and 65 years of age. Tumours of the breast, cervix and corpus have almost the same prognosis (5-year-survival-rate greater than 60%); the prognosis of ovarian cancer is distinctly poorer. A clear decrease in the incidence is observed only for cervical cancer. The indications are that the proportion of aged patients is continually rising. The mortality, on the other hand, does not increase to the same extent, which indicates a progressive success of therapy of gynaecological malignancies. Since the Saarland Cancer Registry is the only population-based unit functioning for a sufficiently long period, the results represent a model of the situation in the Federal Republic of Germany.

Published
1989
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43. [Epidemiology of pancreatic cancer in Saarland].

Author

Kolles H, Seitz G, Niemeyer AH, and Dhom G

Subjects
Adolescent, Adult, Aged, Cross-Sectional Studies, Germany, West, Humans, Middle Aged, Prognosis, Pancreatic Neoplasms mortality
Published
1987

45. [Course of illness in malignant primary tumors with skeletal metastases].

Author

Kolles H and Schmitt O

Subjects
Bone Neoplasms surgery, Breast Neoplasms surgery, Female, Humans, Lung Neoplasms surgery, Male, Neoplasms, Unknown Primary surgery, Postoperative Complications mortality, Prognosis, Prostatic Neoplasms surgery, Bone Neoplasms secondary
Abstract

About 70,000 malignant primary tumors with skeleton metastases are regarded with respect to tumor age, survival time with metastases respectively with primary tumor and life expectancy. Some cases with mamma carcinoma showed the vertebral type of bone metastasizing whereas the other primary tumors showed the typical type of spreading metastases over the lung. Patients with skeleton metastases are younger than the others. They have a longer survival time than the other patients without bone metastases but they die earlier. In those cases in which the primary tumor was diagnosed because of bone metastases without any earlier tumor treatment the survival time with metastases was longer than in other patients. Metastases with low grade histological differentiation were more often to be seen in patients who got their primary tumor in younger age. These metastases arose in a relatively late stage of the disease.

Published
1987
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