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1. Craniopharyngioma with malignant transformation: A case report

Author

Janssens E, Verhelst PJ, De Vleeschouwer S, Van Calenbergh F, Hauben E, Politis C, and Bila M

Subjects
Craniopharyngioma, Malignant, Maxillofacial surgery, Case report, Surgery, RD1-811
Abstract

Introduction: Craniopharyngiomas are usually slow growing, benign epithelial tumors, arising from cell remnants of Rathke's pouch with its ultimate site of origin being the embryologic stomadeum. Although considered WHO grade I tumors, they are often locally aggressive. However, malignant transformation is extremely rare. Until now, 42 cases of malignant craniopharyngioma have been reported. In this article, the interdisciplinary, i.e. neurosurgical and maxillofacial, approach to a case of secondary malignant craniopharyngioma with multiple recurrences is discussed.Case report A 73-year-old woman with a history of recurrent, extracranially expanding craniopharyngioma was referred to the department of Neurosurgery following the MRI finding of a 7th tumor recurrence, located at the level of the right lateral orbital wall. Previously, the patient had already undergone five surgical resections and three radiotherapeutic treatments elsewhere. Histopathological examination revealed an adamantinomatous craniopharyngioma with sites of malignant transformation. Tumor resection with exenteration of the right eye was performed with an immediate reconstruction using a PEEK-PSI (Patient Specific Implant) and anterolateral thigh flap. Histopathological examination confirmed the diagnosis of craniopharyngioma with malignant transformation. Conclusions: Malignant transformation in a craniopharyngioma is uncommon but has a poor prognosis. The assumed correlation between radiotherapy and malignant transformation is not yet clearly established. Therefore, radiotherapy remains a good choice to reduce recurrence of a benign cranopharyngioma. PEEK implantation seems a safe option for allogenic reconstruction in patients with large maxillofacial defects. In complex cases the benefit of a multidisciplinary approach should not be underestimated.

Published
2020
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3. Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score

Author

Dajti, I, Valenzuela, JI, Boccalatte, LA, Gemelli, NA, Smith, DE, Dudi-Venkata, NN, Kroon, HM, Sammour, T, Roberts, M, Mitchell, D, Lah, K, Pearce, A, Morton, A, Dawson, AC, Drane, A, Sharpin, C, Nataraja, RM, Pacilli, M, Cox, DRA, Muralidharan, V, Riddiough, GE, Clarke, EM, Jamel, W, Qin, KR, Pockney, P, Cope, D, Egoroff, N, Lott, N, Putnis, S, De Robles, S, Ang, Z, Mitteregger, M, Uranitsch, S, Stiegler, M, Seitinger, G, Aigner, F, Lumenta, DB, Nischwitz, PS, Richtig, E, Pau, M, Srekl-Filzmaier, P, Eibinger, N, Michelitsch, B, Fediuk, M, Papinutti, A, Seidel, G, Kahn, J, Cohnert, TU, Messner, D, Öfner, F, Presl, J, Varga, M, Weitzendorfer, M, Emmanuel, K, Binder, AD, Zimmermann, M, Holawe, S, Nkenke, E, Grimm, C, Kranawetter, M, Rahman Mitul, A, Islam, N, Karim, S, Komen, N, Ang, E, De Praetere, H, Tollens, T, Schols, G, Smets, C, Haenen, L, Quintens, J, Van Belle, K, Van Ramshorst, GH, Pattyn, P, Desender, L, Martens, T, Van de Putte, D, Lerut, P, Grimonprez, A, Janssen, M, De Smul, G, Wallaert, P, Van den Eynde, J, Oosterlinck, W, Van den Eynde, R, Sermon, A, Boeckxstaens, A, Cordonnier, A, De Coster, J, Jaekers, J, Politis, C, Miserez, M, Duchateau, N, De Gheldere, C, Flamey, N, Christiano, A, and Guidi, B

Subjects
Clinical Research, Patient Safety, Vaccine Related, Biodefense, Prevention, 6.4 Surgery, Evaluation of treatments and therapeutic interventions, Good Health and Well Being, COVID-19, Cohort Studies, Datasets as Topic, Humans, Machine Learning, Models, Statistical, Risk Assessment, SARS-CoV-2, Surgical Procedures, Operative, COVIDSurg Collaborative, Medical and Health Sciences, Surgery
Abstract

To support the global restart of elective surgery, data from an international prospective cohort study of 8492 patients (69 countries) was analysed using artificial intelligence (machine learning techniques) to develop a predictive score for mortality in surgical patients with SARS-CoV-2. We found that patient rather than operation factors were the best predictors and used these to create the COVIDsurg Mortality Score (https://covidsurgrisk.app). Our data demonstrates that it is safe to restart a wide range of surgical services for selected patients.

Published
2021

29. Driedimensionaal printen voor orale en maxillofaciale toepassingen

Author

Van de Casteele, E., Shaheen, E., Sun, Y., EzEldeen, M., Shahbazian, M., Daems, L., Legrand, P., Jacobs, R., Politis, C., Brand, H.S., D'Hondt, N., Ghaeminia, H., E. Gerritsen, A., Witteman, L., Kreps, B., Kruijt Spanjer, E.C., L. Laine, M., Niesten, D., Phoa, K. H., Politis, C., van Riet, T.C.T., van der Ven, J.M., Van de Casteele, E., Vanhove, W., Willems, G., Adriaensens, S., Schoenaers, J., Naert, I., Vriesema, M., Linssen, M.L.E., Hopman, A.J.G., Baart, J.A., van Es, R.J.J., Muris, J., Rajasekharan, S., Martens, L.C., Cauwels, R.G.E.C., Verbeeck, R.M.H., Storms, A., Zogheib, T., Bral, C., Ting, J.W., Sheikh Rashid, M., Dreschler, W.A., Bart, G.E., Shaheen, E., Sun, Y., EzEldeen, M., Shahbazian, M., Daems, L., Legrand, P., Geers, S., Vermylen, Y., Aelbrecht, K., van Pelt, A.W.J., Creugers, N.H.J., Witter, D.J., Deveugele, M., Geelen, W., Vertriest, S., Aps, J.K.M., editor, De Bruyne, M., editor, Jacobs, R., editor, Nienhuijs, M.E.L., editor, and van der Meer, W.J., editor

Published
2015
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30. Implantaten en hun succes na bestraling

Author

Adriaensens, S., Jacobs, R., Schoenaers, J., Naert, I., Politis, C., Brand, H.S., D'Hondt, N., Ghaeminia, H., E. Gerritsen, A., Witteman, L., Kreps, B., Kruijt Spanjer, E.C., L. Laine, M., Niesten, D., Phoa, K. H., Politis, C., van Riet, T.C.T., van der Ven, J.M., Van de Casteele, E., Vanhove, W., Willems, G., Adriaensens, S., Schoenaers, J., Naert, I., Vriesema, M., Linssen, M.L.E., Hopman, A.J.G., Baart, J.A., van Es, R.J.J., Muris, J., Rajasekharan, S., Martens, L.C., Cauwels, R.G.E.C., Verbeeck, R.M.H., Storms, A., Zogheib, T., Bral, C., Ting, J.W., Sheikh Rashid, M., Dreschler, W.A., Bart, G.E., Shaheen, E., Sun, Y., EzEldeen, M., Shahbazian, M., Daems, L., Legrand, P., Geers, S., Vermylen, Y., Aelbrecht, K., van Pelt, A.W.J., Creugers, N.H.J., Witter, D.J., Deveugele, M., Geelen, W., Vertriest, S., Aps, J.K.M., editor, De Bruyne, M., editor, Jacobs, R., editor, Nienhuijs, M.E.L., editor, and van der Meer, W.J., editor

Published
2015
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31. Stability of an Exciton bound to an Ionized Donor in Quantum Dots

Author

Baskoutas, S., Schommers, W., Terzis, A. F., Kapaklis, V., Rieth, M., and Politis, C.

Subjects
Condensed Matter - Materials Science
Abstract

Total energy, binding energy, recombination rate (of the electron hole pair) for an exciton (X) bound in a parabolic two dimensional quantum dot by a donor impurity located on the z axis at a distance d from the dot plane, are calculated by using the Hartree formalism with a recently developed numerical method (PMM) for the solution of the Schroedinger equation. As our analysis indicates there is a critical dot radius such that for radius less than the critical radius the complex is unstable and with an increase of the impurity distance this critical radius increases. Furthermore, there is a critical value of the mass ratio such that for mass ratio less than the critical value the complex is stable. The appearance of this stability condition depends both on the impurity distance and the dot radius, in a way that with an increase of the impurity distance we have an increase in the maximum dot radius where this stability condition appears. For dot radii greater than this maximum dot radius (for fixed impurity distance) the complex is always stable., Comment: 17 pages, 7 figures Applying a new numerical method which is based on the adiabatic stability of quantum mechanics, we study the stability of an exciton (X) bound in a parabolic two dimensional quantum dot by a donor impurity located on the z axis at a distance d from the dot plane

Published
2002
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35. Wondhelingsproblemen in de mond

Author

Politis, C., Agbaje, J., Jacobs, R., Schoenaers, J., Aps, J.K.M., editor, De Bruyne, M., editor, Jacobs, R., editor, van der Meer, J., editor, Nienhuijs, M.E.L., editor, and Boxum, S.C., editor

Published
2016
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41. VELOS - A VR Environment for Ship Applications: Current Status and Planned Extensions

Author

Ginnis, A. I., Kostas, K. V., Politis, C. G., Kaklis, P. D., 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, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Brunnett, Guido, editor, Coquillart, Sabine, editor, van Liere, Robert, editor, Welch, Gregory, editor, and Váša, Libor, editor

Published
2015
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44. Clinical image: Cervicofacial rotation skin flap in PLWD patients.

Author

Politis, C., Lenaerts, V., Evrard, L., Shall, F., and Gorlé, D.

Subjects
*DIAGNOSTIC imaging, *MEDICAL protocols, *SKIN cancer, *DEMENTIA, *SUTURES
Abstract

Key Clinical Message: This article outlines a surgical protocol designed for people living with dementia (PLWD). It proposes that simultaneous resection and reconstruction of skin cancer can minimizes the need for initial care. The method outlined involves primary closure via a cervicofacial rotation flap technique and the use of monofilament resorbable sutures. [ABSTRACT FROM AUTHOR]

Published
2024
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50. Incidence of medication-related osteonecrosis of the jaw in patients treated with both bone resorption inhibitors and vascular endothelial growth factor receptor tyrosine kinase inhibitors

Author

van Cann, T., Loyson, T., Verbiest, A., Clement, P. M., Bechter, O., Willems, L., Spriet, I., Coropciuc, R., Politis, C., Vandeweyer, R. O., Schoenaers, J., Debruyne, P. R., Dumez, H., Berteloot, P., Neven, P., Nackaerts, K., Woei-A-Jin, F. J. S. H., Punie, K., Wildiers, H., and Beuselinck, B.

Published
2017
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