Auswahl der wissenschaftlichen Literatur zum Thema „Multicenter validation“
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Zeitschriftenartikel zum Thema "Multicenter validation"
Koehler, John J., Stuart A. Malafa, Jeffrey Hillesland, Lawrence J. Baer, Ralph N. Rogers, Nancy R. Navitskas, Deborah Briggs et al. „A multicenter validation of the prehospital index“. Annals of Emergency Medicine 16, Nr. 4 (April 1987): 380–85. http://dx.doi.org/10.1016/s0196-0644(87)80354-2.
Der volle Inhalt der QuellePelletier-Galarneau, M., O. O. Sogbein, X. Pham, J. Hao, J. Le, M. D. Strober, M. L. Middleton, J. Kikut, L. M. Freeman und L. S. Zuckier. „Multicenter Validation of a Shortened Gastric-Emptying Protocol“. Journal of Nuclear Medicine 56, Nr. 6 (16.04.2015): 873–76. http://dx.doi.org/10.2967/jnumed.115.155366.
Der volle Inhalt der QuelleBergeron, David, Kelsey Flynn, Louis Verret, Stéphane Poulin, Rémi W. Bouchard, Christian Bocti, Tamàs Fülöp et al. „Multicenter Validation of an MMSE-MoCA Conversion Table“. Journal of the American Geriatrics Society 65, Nr. 5 (15.02.2017): 1067–72. http://dx.doi.org/10.1111/jgs.14779.
Der volle Inhalt der QuelleStaartjes, Victor E., Carlo Serra, Matteo Zoli, Diego Mazzatenta, Fabio Pozzi, Davide Locatelli, Elena D’Avella, Domenico Solari, Luigi Maria Cavallo und Luca Regli. „Multicenter external validation of the Zurich Pituitary Score“. Acta Neurochirurgica 162, Nr. 6 (14.03.2020): 1287–95. http://dx.doi.org/10.1007/s00701-020-04286-w.
Der volle Inhalt der QuelleBarry, Jeremy A., Rima Ait-Belkacem, William M. Hardesty, Lydia Benakli, Clara Andonian, Hermes Licea-Perez, Jonathan Stauber und Stephen Castellino. „Multicenter Validation Study of Quantitative Imaging Mass Spectrometry“. Analytical Chemistry 91, Nr. 9 (02.04.2019): 6266–74. http://dx.doi.org/10.1021/acs.analchem.9b01016.
Der volle Inhalt der QuelleChen, Xiaolin. „313 Development and Validation of a Scoring System for Hemorrhage Risk in Brain Arteriovenous Malformations“. Neurosurgery 70, Supplement_1 (April 2024): 91. http://dx.doi.org/10.1227/neu.0000000000002809_313.
Der volle Inhalt der QuelleLafage, Virginie, Neil J. Bharucha, Frank Schwab, Robert A. Hart, Douglas Burton, Oheneba Boachie-Adjei, Justin S. Smith et al. „Multicenter validation of a formula predicting postoperative spinopelvic alignment“. Journal of Neurosurgery: Spine 16, Nr. 1 (Januar 2012): 15–21. http://dx.doi.org/10.3171/2011.8.spine11272.
Der volle Inhalt der QuelleStiell, I. G. „Multicenter Prospective Validation of the Canadian CT Head Rule“. Academic Emergency Medicine 10, Nr. 5 (01.05.2003): 539—a—539. http://dx.doi.org/10.1197/aemj.10.5.539-a.
Der volle Inhalt der QuelleStiell, I. G. „Multicenter Prospective Validation of the Canadian C-Spine Rule“. Academic Emergency Medicine 9, Nr. 5 (01.05.2002): 359—b—360. http://dx.doi.org/10.1197/aemj.9.5.359-b.
Der volle Inhalt der QuelleDomeier, Robert M., Robert A. Swor, Rawden W. Evans, J. Brian Hancock, William Fales, Jon Krohmer, Shirley M. Frederiksen, Edgardo J. Rivera-Rivera und M. Anthony Schork. „Multicenter Prospective Validation of Prehospital Clinical Spinal Clearance Criteria“. Journal of Trauma: Injury, Infection, and Critical Care 53, Nr. 4 (Oktober 2002): 744–50. http://dx.doi.org/10.1097/00005373-200210000-00021.
Der volle Inhalt der QuelleDissertationen zum Thema "Multicenter validation"
FALOPPI, LUCA. „MULTICENTER PROSPECTIVE STUDY OF ANGIOGENESIS POLYMORPHISM VALIDATION IN HCC PATIENTS TREATED WITH SORAFENIB: THE INNOVATE STUDY“. Doctoral thesis, Università degli Studi di Cagliari, 2019. http://hdl.handle.net/11584/270329.
Der volle Inhalt der QuelleKim, Eun Young. „Machine-learning based automated segmentation tool development for large-scale multicenter MRI data analysis“. Diss., University of Iowa, 2013. https://ir.uiowa.edu/etd/4998.
Der volle Inhalt der QuelleJaouen, Tristan. „Caractérisation du cancer de la prostate de haut grade à l’IRM multiparamétrique à l’aide d’un système de diagnostic assisté par ordinateur basé sur la radiomique et utilisé comme lecteur autonome ou comme second lecteur“. Electronic Thesis or Diss., Lyon, 2022. http://www.theses.fr/2022LYSE1140.
Der volle Inhalt der QuelleWe developed a region of interest-based (ROIs) computer-aided diagnosis system (CAD) to characterize International Society of Urological Pathology grade (ISUP) ≥2 prostate cancers at multiparametric MRI (mp-MRI). Image parameters from two multi-vendor datasets of 265 pre-prostatectomy and 112 pre-biopsy MRIs were combined using logistic regression. The best models used the ADC 2nd percentile (ADC2) and normalized wash-in rate (WI) in the peripheral zone (PZ) and the ADC 25th percentile (ADC25) in the transition zone (TZ). They were combined in the CAD system. The CAD was retrospectively assessed on two multi-vendor datasets containing respectively 158 and 105 pre-biopsy MRIs from our institution (internal test dataset) and another institution (external test dataset). Two radiologists independently outlined lesions targeted at biopsy. The Prostate Imaging-Reporting and Data System version 2 (PI-RADSv2) score prospectively assigned at biopsy and the CAD score were compared to biopsy findings. At patient level, the areas under the Receiver Operating Characteristic curve (AUC) of the PI-RADSv2 score were 82% (95% CI: 74-87) and 85% (95% CI: 79-91) in the internal and external test datasets respectively. For both radiologists, the CAD score had similar AUC results in the internal (82%, 95% CI: 76-89, p=1; 84%, 95% CI: 78-91, p=1) and external (82%, 95% CI: 76-89, p=0.82; 86%, 95% CI: 79-93, p=1) test datasets. Combining PI-RADSv2 and CAD findings could have avoided 41-52% of biopsies while missing 6-10% of ISUP≥2 cancers. The CAD system confirmed its robustness showing good discrimination of ISUP ≥2 cancers in a multicentric study involving 22 different scanners with highly heterogeneous image protocols. In per patient analysis, the CAD and the PI-RADSv2 had similar AUC values (76%, 95% CI: 70-82 vs 79%, 95% CI: 73-86; p=0.34) and sensitivities (86%, 95% CI: 76-96 vs 89%, 95% CI: 79-98 for PI-RADSv2 ≥4). The specificity of the CAD (62%, 95% CI: 53-70 vs 49%, 95% CI: 39-59 for PI-RADSv2 ≥4) could be used to complement the PI-RADSv2 score and potentially avoid 50% of biopsies, while missing 13% of ISUP ≥2 cancers. These findings were very similar to those reported in the single center test cohorts. Given its robustness, the CAD could then be exploited in more specific applications. The CAD first provided good discrimination of ISUP ≥2 cancers in patients under Active Surveillance. Its AUC (80%, 95% CI: 74-86) was similar to that of the PI-RADS score prospectively assigned by specialized uro-radiologists at the time of biopsy (81%, 95% CI: 74-87; p=0.96). After dichotomization, the CAD was more specific than the PI-RADS ≥3 (p<0.001) and the PI-RADS ≥4 scores (p<0.001). It could offer a solution to select patients who could safely avoid confirmatory or follow-up biopsy during Active Surveillance (25%), while missing 5% of ISUP≥2 cancers. Finally, the CAD was tested with the pre-prostatectomy mp-MRIs of 56 Japanese patients, from a population which is geographically distant from its training population and which is of interest because of its low prostate cancer incidence and mortality. The CAD obtained an AUC similar to the PI-RADSv2 score assigned by an experience radiologist in the PZ (80%, 95% CI: 71-90 vs 80%, 95% CI: 71-89; p=0.886) and in the TZ (79%, 95% CI: 66-90 vs 93%, 95%CI: 82-96; p=0.051). These promising and robust results across heterogeneous datasets suggest that the CAD could be used in clinical routine as a second opinion reader to help select the patients who could safely avoid biopsy. This CAD may assist less experience readers in the characterization of prostate lesions
O'Gorman, Neil Matthew. „Development of a first trimester prediction model for preeclampsia and prospective validation in a multicentre setting“. Thesis, King's College London (University of London), 2018. https://kclpure.kcl.ac.uk/portal/en/theses/development-of-a-first-trimester-prediction-model-for-preeclampsia-and-prospective-validation-in-a-multicentre-setting(6dfb8db3-cd42-4847-839e-59a7ab597864).html.
Der volle Inhalt der QuelleBiesenberger, Simon [Verfasser]. „Prospektive, kontrollierte Multicenter-Studie zur Validation des Sentinel-Node-Konzeptes beim Mammakarzinom / Simon Biesenberger“. 2005. http://d-nb.info/995009252/34.
Der volle Inhalt der QuelleLinhares, Daniela Vilas Boas Rosa. „Validation of Control of Allergic Rhinitis and Asthma Test for Children (CARATKids) - a prospective multicenter study“. Master's thesis, 2014. https://repositorio-aberto.up.pt/handle/10216/72911.
Der volle Inhalt der QuelleLinhares, Daniela Vilas Boas Rosa. „Validation of Control of Allergic Rhinitis and Asthma Test for Children (CARATKids) - a prospective multicenter study“. Dissertação, 2014. https://repositorio-aberto.up.pt/handle/10216/72911.
Der volle Inhalt der QuelleBuchteile zum Thema "Multicenter validation"
Calderon-Ortiz, Mauricio, Matthew D. Rifkin, Daniel H. O’Leary, James F. Toole, M. Gene Bond, Fred A. Bryan, Tarle Holen et al. „Multicenter Validation Study of Real Time (B Mode) Ultrasound, Arteriography, and Pathology: I. Methods and Materials“. In Pathobiology of the Human Atherosclerotic Plaque, 733–49. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3326-8_49.
Der volle Inhalt der QuelleO’Leary, Daniel H., Fred A. Bryan, Marta W. Goodison, Barry B. Goldberg, Raymond Gramiak, Marshall Ball, M. Gene Bond et al. „Multicenter Validation Study of Real Time (B Mode) Ultrasound, Arteriography, and Pathology: II. Repeatability/Variability Assessment“. In Pathobiology of the Human Atherosclerotic Plaque, 751–66. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3326-8_50.
Der volle Inhalt der QuelleRicotta, John J., Fred A. Bryan, M. Gene Bond, Alfred Kurtz, Daniel H. O’Leary, Jeffery K. Raines, Alan S. Berson et al. „Multicenter Validation Study of Real Time (B Mode) Ultrasound, Arteriography, and Pathology: III. Sensitivity and Specificity Assessment“. In Pathobiology of the Human Atherosclerotic Plaque, 767–83. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3326-8_51.
Der volle Inhalt der QuelleSchenk, Eric A., John Ricotta, M. Gene Bond, Thomas Aretz, Jean Angelo, Hong Y. Choi, Thomas Rinalski et al. „Multicenter Validation Study of Real Time (B Mode) Ultrasound, Arteriography, and Pathology: V. Pathologic Evaluation of Endarteroctomy Specimens and of Perfusion Fixed Carotid Arteries“. In Pathobiology of the Human Atherosclerotic Plaque, 799–809. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3326-8_53.
Der volle Inhalt der QuelleSmullens, S. N., J. K. Raines, D. H. O’Leary, M. Ball, J. J. Ricotta, N. F. Gustafson, M. G. Bond et al. „Multicenter Validation Study of Real Time (B Mode) Ultrasound, Arteriography, and Pathology: IV. Comparison of B Mode Ultrasonic Imaging with Arteriography in Lower Extremity Arteries“. In Pathobiology of the Human Atherosclerotic Plaque, 785–97. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3326-8_52.
Der volle Inhalt der Quelle„The Saline vs. Albumin Fluid Evaluation (SAFE) Study“. In 50 Studies Every Anesthesiologist Should Know, herausgegeben von Anita Gupta, Elena N. Gutman, Michael E. Hochman, Anita Gupta, Elena N. Gutman und Michael E. Hochman, 125–30. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190237691.003.0024.
Der volle Inhalt der QuelleDi Meco, Gabriele, Sara Mora, Daniele Roberto Giacobbe, Silvia Dettori, Ilias Karaiskos, Matteo Bassetti und Mauro Giacomini. „A Wide Database for a Multicenter Study on Pneumocystis jirovecii Pneumonia in Intensive Care Units“. In Studies in Health Technology and Informatics. IOS Press, 2022. http://dx.doi.org/10.3233/shti220521.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Multicenter validation"
Kobylarz Ribeiro, Jhonatan, Henrique D. P. dos Santos, Felipe Barletta, Mateus Cichelero da Silva, Renata Vieira, Hugo M. P. Morales und Cristian da Costa Rocha. „A Machine Learning Early Warning System: Multicenter Validation in Brazilian Hospitals“. In 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2020. http://dx.doi.org/10.1109/cbms49503.2020.00067.
Der volle Inhalt der QuelleCardenas, Diego, José Ferreira Junior, Ramon Moreno, Marina Rebelo, José Krieger und Marco Gutierrez. „Multicenter Validation of Convolutional Neural Networks for Automated Detection of Cardiomegaly on Chest Radiographs“. In Anais Principais do Simpósio Brasileiro de Computação Aplicada à Saúde. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/sbcas.2020.11512.
Der volle Inhalt der QuelleFernandez, Rafael, Jose Manuel Serrano, Isabel Umaran, Ricard Abizanda, Andres Carrillo, Maria Jesus Lopez-Pueyo, Pedro Rascado, Begoña Balerdi, Borja Suberviola und Gonzalo Hernandez. „Ward Mortality After ICU discharge: a Multicenter validation Of The Sabadell Score“. In American Thoracic Society 2010 International Conference, May 14-19, 2010 • New Orleans. American Thoracic Society, 2010. http://dx.doi.org/10.1164/ajrccm-conference.2010.181.1_meetingabstracts.a4091.
Der volle Inhalt der QuelleCeccato, Adrian, Raul Mendez, Maria-Carmen De La Torre, Albert Gabarrus, Elena Prina, Otavio Ranzani, Cristina Dominedò et al. „PES Score validation in a multicenter Cohort of patients with community-acquired pneumonia“. In ERS International Congress 2019 abstracts. European Respiratory Society, 2019. http://dx.doi.org/10.1183/13993003.congress-2019.oa3305.
Der volle Inhalt der QuelleGarbe, A., Mahajan UM, T. Kohlmann, E. Goni, C. Budde, F. Gorelick, T. Muniraj et al. „Chronic Pancreatitis Prognosis Score (COPPS): results from an international prospective multicenter validation study“. In Viszeralmedizin 2021 Gemeinsame Jahrestagung Deutsche Gesellschaft für Gastroenterologie, Verdauungs- und Stoffwechselkrankheiten (DGVS), Sektion Endoskopie der DGVS, Deutsche Gesellschaft für Allgemein und Viszeralchirurgie (DGAV). Georg Thieme Verlag KG, 2021. http://dx.doi.org/10.1055/s-0041-1733581.
Der volle Inhalt der QuelleGarbe, A., Mahajan UM, T. Kohlmann, E. Goni, C. Budde, F. Gorelick, T. Muniraj et al. „Chronic Pancreatitis Prognosis Score (COPPS): results from an international prospective multicenter validation study“. In Viszeralmedizin 2021 Gemeinsame Jahrestagung Deutsche Gesellschaft für Gastroenterologie, Verdauungs- und Stoffwechselkrankheiten (DGVS), Sektion Endoskopie der DGVS, Deutsche Gesellschaft für Allgemein und Viszeralchirurgie (DGAV). Georg Thieme Verlag KG, 2021. http://dx.doi.org/10.1055/s-0041-1733581.
Der volle Inhalt der QuelleFrazzoni, L., L. Laterza, C. Fabbri, M. Di Marco, H. Bertani, R. Conigliaro, A. Mussetto et al. „Clinical validation of priority criteria for indication to colonoscopy: a multicenter prospective study“. In ESGE Days 2024. Georg Thieme Verlag KG, 2024. http://dx.doi.org/10.1055/s-0044-1782795.
Der volle Inhalt der QuelleGarbe, A., UM Mahajan, T. Kohlmann, E. Goni, C. Budde, E. Martinez-Moneo, T. Shimosegawa et al. „Chronic Pancreatitis Prognosis Score (COPPS): preliminary results from a prospective multicenter, international validation study“. In Viszeralmedizin 2019. Georg Thieme Verlag KG, 2019. http://dx.doi.org/10.1055/s-0039-1695211.
Der volle Inhalt der QuelleMorand, Eric, Vera Golder, Rangi Kandane-Rathnayake, Molla Huq, Hieu Nim, Worawit Louthrenoo, Shue Fen Luo et al. „25 Prospective multicenter validation of the lupus low disease activity state (LLDAS) treatment target“. In 13th International Congress on Systemic Lupus Erythematosus (LUPUS 2019), San Francisco, California, USA, April 5–8, 2019, Abstract Presentations. Lupus Foundation of America, 2019. http://dx.doi.org/10.1136/lupus-2019-lsm.25.
Der volle Inhalt der QuellePeivandi, A., G. Santarpino, G. Nasso, M. Avolio, M. Tanzariello, L. Giuliano, G. Speziale und A. Dell 'Aquila. „Multicenter Validation of ACEF II Risk Score: A Reliable Predictive Instrument for CABG Patients“. In 51st Annual Meeting of the German Society for Thoracic and Cardiovascular Surgery (DGTHG). Georg Thieme Verlag KG, 2022. http://dx.doi.org/10.1055/s-0042-1742796.
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