Unit:
Faculty of MedicineLibrary of the School of Health Sciences
Author:
Agadakos Efthimios
Dissertation committee:
Βασίλειος Κουτουλίδης, Αναπληρωτής Καθηγητής, Ιατρική Σχολή, ΕΚΠΑ
Μιχαήλ Βουλγαρέλης, Καθηγητής, Ιατρική Σχολή, ΕΚΠΑ
Νικόλαος Β. Σύψας, Καθηγητής, Ιατρική Σχολή, ΕΚΠΑ
Ιωάννης Σεϊμένης, Καθηγητής, Ιατρικής Σχολή, ΕΚΠΑ
Μιχαήλ Σαμάρκος, Καθηγητής, Ιατρική Σχολή, ΕΚΠΑ
Ευαγγελία Πανουργιά, Λέκτορας, Ιατρική Σχολή, ΕΚΠΑ
Original Title:
Η χρήση πρωτοκόλλων χαμηλής δόσης ακτινοβολίας στην Υπολογιστική Τομογραφία για την διάγνωση και παρακολούθηση πνευμονικών λοιμώξεων σε ασθενείς με αιματολογικές κακοήθειες
Translated title:
The use of low-dose chest CT protocols for the diagnosis and monitoring of pulmonary infections in neutropenic patients
Summary:
The research aims to evaluate the diagnostic performance of low-dose chest
CT (LDCCT) in detecting pulmonary infections in neutropenic patients with hematologic
malignancies. Driven by concerns over radiation exposure in high-risk patients undergoing
standard chest CT scans (SDCCT), the research investigates whether LDCCT, with reduced
radiation and noise reduction algorithms, matches SDCCT in image quality and diagnostic
accuracy. Involving 164 neutropenic patients with 256 CT exams, the study scrutinizes specific
radiological criteria linked to pulmonary infections. The researchers analyzed objective parameters
(such as image noise and attenuation levels), subjective evaluations (image quality, noise, and
artifacts), and diagnostic performance. The findings reveal a 53% reduction in radiation dose with
LDCCT but a lower diagnostic performance, especially in detecting consolidation and ground glass
opacities. The authors caution against relying solely on LDCCT for initial assessments in patients
with hematologic malignancies, emphasizing the importance of further research to optimize diagnostic protocols.
Main subject category:
Health Sciences
Keywords:
Low-dose chest CT, Standard-dose chest CT, Pulmonary infections, Neutropenic patients, Hematologic malignancies, Radiation dose, CT noise reduction algorithms, Diagnostic performance
Number of references:
136
