Till sidans topp

Sidansvarig: Webbredaktion
Sidan uppdaterades: 2012-09-11 15:12

Tipsa en vän
Utskriftsversion

Detection of Pulmonary No… - Göteborgs universitet Till startsida
Webbkarta
Till innehåll Läs mer om hur kakor används på gu.se

Detection of Pulmonary Nodule Growth with Chest Tomosynthesis: A Human Observer Study Using Simulated Nodules

Artikel i vetenskaplig tidskrift
Författare Christina Söderman
Åse (Allansdotter) Johnsson
Jenny Vikgren
Rauni Rossi-Norrlund
David Molnar
Maral Mirzai
Angelica Svalkvist
Lars Gunnar Månsson
Magnus Båth
Publicerad i Academic Radiology
Volym 26
Nummer/häfte 4
Sidor 508-518
ISSN 10766332
Publiceringsår 2019
Publicerad vid Institutionen för kliniska vetenskaper, Avdelningen för radiofysik
Institutionen för kliniska vetenskaper, Avdelningen för radiologi
Institutionen för medicin, avdelningen för molekylär och klinisk medicin
Sidor 508-518
Språk en
Länkar https://doi.org/10.1016/j.acra.2018...
Ämnesord Chest tomosynthesis, digital radiology, observer performance, parenchymal nodules
Ämneskategorier Radiofysik, Radiologi

Sammanfattning

Chest tomosynthesis has been suggested as a suitable alternative to CT for follow-up of pulmonary nodules. The aim of the present study was to investigate the possibility of detecting pulmonary nodule growth using chest tomosynthesis. Materials and Methods: Simulated nodules with volumes of approximately 100 mm 3 and 300 mm 3 as well as additional versions with increasing volumes were created. The nodules were inserted into images from pairs of chest tomosynthesis examinations, simulating cases where the nodule had either remained stable in size or increased in size between the two imaging occasions. Nodule volume growths ranging from 11% to 252% were included. A simulated dose reduction was applied to a subset of the cases. Cases differing in terms of nodule size, dose level, and nodule position relative to the plane of image reconstruction were included. Observers rated their confidence that the nodules were stable in size or not. The rating data for the nodules that were stable in size was compared to the rating data for the nodules simulated to have increased in size using ROC analysis. Results: Area under the curve values ranging from 0.65 to 1 were found. The lowest area under the curve values were found when there was a mismatch in nodule position relative to the reconstructed image plane between the two examinations. Nodule size and dose level affected the results. Conclusion: The study indicates that chest tomosynthesis can be used to detect pulmonary nodule growth. Nodule size, dose level, and mismatch in position relative to the image reconstruction plane in the baseline and follow-up examination may affect the precision.

Sidansvarig: Webbredaktion|Sidan uppdaterades: 2012-09-11
Dela:

På Göteborgs universitet använder vi kakor (cookies) för att webbplatsen ska fungera på ett bra sätt för dig. Genom att surfa vidare godkänner du att vi använder kakor.  Vad är kakor?