{"title":"Praxis live – wie ist sie, die Arbeit(skultur) in der Niederlassung?","authors":"","doi":"10.1055/a-1888-9500","DOIUrl":"https://doi.org/10.1055/a-1888-9500","url":null,"abstract":"So verrückt es auch klingt – 1993 kann man ältester Sohn auf die Welt! Ich gehöre zu den geburtenstarken Jahrgängen und egal wo man hinkam – überall gab es zu viele Bewerber. Mein Zeitvertrag im Klinikum wurde nicht verlängert und ich stand arbeitslos und schwanger auf der Straße. Heute unvorstellbar! In meiner Not stellte ich mich in der ansässigen radiologischen Praxis vor – und hatte das Glück, einen Kollegen mit Weitsicht anzutreffen. Flexible Arbeitszeiten ermöglichten es mir, trotz Kind weiter berufstätig zu sein. Noch heute versuchen wir, die Arbeitszeiten individuell den privaten Umständen der Mitarbeiter anzupassen. So fängt der eine eher um 7:00 Uhr morgens an, der andere bevorzugt den Spätdienst und startet erst um 13:00 Uhr. Unser IT-Experte arbeitet meistens nur nachts. Ein durchschnittlicher Arbeitsablauf sieht so aus: Die fertige Untersuchung landet auf unserem Schreibtisch; nach Durchsicht wird der Patient aufgerufen und es erfolgt ein klärendes, informierendes oder auch tröstendes Gespräch. Im Anschluss wird die Untersuchung diktiert und der Befund direkt dem überweisenden Kollegen zugestellt.","PeriodicalId":520772,"journal":{"name":"RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin","volume":" ","pages":"1038-1039"},"PeriodicalIF":1.8,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40446154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Netzwerk RACOON: Radiologische Forschung in der Entwicklung.","authors":"","doi":"10.1055/a-1888-9285","DOIUrl":"https://doi.org/10.1055/a-1888-9285","url":null,"abstract":"","PeriodicalId":520772,"journal":{"name":"RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin","volume":" ","pages":"1035-1036"},"PeriodicalIF":1.8,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40446153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"LernRad: Go!Cards für die radiologische Weiterbildung.","authors":"","doi":"10.1055/a-1888-9763","DOIUrl":"https://doi.org/10.1055/a-1888-9763","url":null,"abstract":"","PeriodicalId":520772,"journal":{"name":"RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin","volume":" ","pages":"1033-1035"},"PeriodicalIF":1.8,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40446152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Erfolgreiches Radiologie update in Ulm.","authors":"","doi":"10.1055/a-1888-9203","DOIUrl":"https://doi.org/10.1055/a-1888-9203","url":null,"abstract":"","PeriodicalId":520772,"journal":{"name":"RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin","volume":" ","pages":"1042-1043"},"PeriodicalIF":1.8,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40446155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lukas T Rotkopf, Kevin Sun Zhang, Anoshirwan Andrej Tavakoli, David Bonekamp, Christian Herbert Ziener, Heinz-Peter Schlemmer
{"title":"Quantitative Analysis of DCE and DSC-MRI: From Kinetic Modeling to Deep Learning.","authors":"Lukas T Rotkopf, Kevin Sun Zhang, Anoshirwan Andrej Tavakoli, David Bonekamp, Christian Herbert Ziener, Heinz-Peter Schlemmer","doi":"10.1055/a-1762-5854","DOIUrl":"https://doi.org/10.1055/a-1762-5854","url":null,"abstract":"<p><strong>Background: </strong>Perfusion MRI is a well-established imaging modality with a multitude of applications in oncological and cardiovascular imaging. Clinically used processing methods, while stable and robust, have remained largely unchanged in recent years. Despite promising results from novel methods, their relatively minimal improvement compared to established methods did not generally warrant significant changes to clinical perfusion processing.</p><p><strong>Results and conclusion: </strong>Machine learning in general and deep learning in particular, which are currently revolutionizing computer-aided diagnosis, may carry the potential to change this situation and truly capture the potential of perfusion imaging. Recent advances in the training of recurrent neural networks make it possible to predict and classify time series data with high accuracy. Combining physics-based tissue models and deep learning, using either physics-informed neural networks or universal differential equations, simplifies the training process and increases the interpretability of the resulting models. Due to their versatility, these methods will potentially be useful in bridging the gap between microvascular architecture and perfusion parameters, akin to MR fingerprinting in structural MR imaging. Still, further research is urgently needed before these methods may be used in clinical practice.</p><p><strong>Key points: </strong>· Machine learning offers promising methods for processing of perfusion data.. · Recurrent neural networks can classify time series with high accuracy.. · Data augmentation is essentially especially when using small datasets..</p><p><strong>Citation format: </strong>· Rotkopf LT, Zhang KS, Tavakoli AA et al. Quantitative Analysis of DCE and DSC-MRI: From Kinetic Modeling to Deep Learning. Fortschr Röntgenstr 2022; 194: 975 - 982.</p>","PeriodicalId":520772,"journal":{"name":"RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin","volume":" ","pages":"975-982"},"PeriodicalIF":1.8,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39835173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Das Direktionsrecht des Arbeitgebers in der radiologischen Praxis.","authors":"","doi":"10.1055/a-1888-9174","DOIUrl":"https://doi.org/10.1055/a-1888-9174","url":null,"abstract":"Ein Arbeitgeber möchte einen Facharzt für Radiologie, der bislang in seiner radiologischen Praxis in der MR-Abteilung tätig ist, zukünftig in der Röntgenabteilung einsetzen. Wäre eine solche arbeitsrechtliche Maßnahme vom Direktionsrecht des Arbeitgebers gedeckt oder bedarf es hierzu einer Änderungskündigung des Anstellungsvertrages mit dem Radiologen? Hängt die Antwort auf diese Frage möglicherweise davon ab, ob der Tätigkeitsbereich des Radiologen sich auf das gesamte Fachgebiet Radiologie bezieht oder ob er ausdrücklich als MR-Spezialist eingestellt worden ist?","PeriodicalId":520772,"journal":{"name":"RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin","volume":" ","pages":"1044-1047"},"PeriodicalIF":1.8,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40446156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Keine Angst vor Konkurrenz – KI ist auch nur ein Werkzeug und schon gar nicht intelligent.","authors":"Felix Nensa","doi":"10.1055/a-1892-8286","DOIUrl":"https://doi.org/10.1055/a-1892-8286","url":null,"abstract":"","PeriodicalId":520772,"journal":{"name":"RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin","volume":" ","pages":"959-961"},"PeriodicalIF":1.8,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40446150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Karolin Baumgartner, Joerg Henes, Theodoros Xenitidis, Gerd Grözinger, Marius Horger
{"title":"[Imaging findings in abdominal polyarteritis nodosa and its complications].","authors":"Karolin Baumgartner, Joerg Henes, Theodoros Xenitidis, Gerd Grözinger, Marius Horger","doi":"10.1055/a-1892-5635","DOIUrl":"https://doi.org/10.1055/a-1892-5635","url":null,"abstract":"","PeriodicalId":520772,"journal":{"name":"RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin","volume":" ","pages":"939-943"},"PeriodicalIF":1.8,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40446149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Radiologie im Zentrum von Klimaschutz und Nachhaltigkeit in der Medizin.","authors":"","doi":"10.1055/a-1888-9849","DOIUrl":"https://doi.org/10.1055/a-1888-9849","url":null,"abstract":"","PeriodicalId":520772,"journal":{"name":"RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin","volume":" ","pages":"962-965"},"PeriodicalIF":1.8,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40446151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Selbstständigkeit in der Radiologie.","authors":"","doi":"10.1055/a-1871-1200","DOIUrl":"https://doi.org/10.1055/a-1871-1200","url":null,"abstract":"","PeriodicalId":520772,"journal":{"name":"RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin","volume":" ","pages":"903-904"},"PeriodicalIF":1.8,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40558749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}