Literature DB >> 33552601

Dosimetry and Comparison between Different CT Protocols (Low Dose, Ultralow Dose, and Conventional CT) for Lung Nodules' Detection in a Phantom.

Cleverson Alex Leitão1, Gabriel Lucca de Oliveira Salvador1, Priscilla Tazoniero1, Danny Warszawiak1, Cristian Saievicz1, Rosangela Requi Jakubiak2, Dante Luiz Escuissato1.   

Abstract

BACKGROUND: The effects of dose reduction in lung nodule detection need better understanding.
PURPOSE: To compare the detection rate of simulated lung nodules in a chest phantom using different computed tomography protocols, low dose (LD), ultralow dose (ULD), and conventional (CCT), and to quantify their respective amount of radiation.
MATERIALS AND METHODS: A chest phantom containing 93 simulated lung nodules was scanned using five different protocols: ULD (80 kVp/30 mA), LD A (120 kVp/20 mA), LD B (100 kVp/30 mA), LD C (120 kVp/30 mA), and CCT (120 kVp/automatic mA). Four chest radiologists analyzed a selected image from each protocol and registered in diagrams the nodules they detected. Kruskal-Wallis and McNemar's tests were performed to determine the difference in nodule detection. Equivalent doses were estimated by placing thermoluminescent dosimeters on the surface and inside the phantom.
RESULTS: There was no significant difference in lung nodules' detection when comparing ULD and LD protocols (p=0.208 to p=1.000), but there was a significant difference when comparing each one of those against CCT (p < 0.001). The detection rate of nodules with CT attenuation values lower than -600 HU was also different when comparing all protocols against CCT (p < 0.001 to p=0.007). There was at least moderate agreement between observers in all protocols (κ-value >0.41). Equivalent dose values ranged from 0.5 to 9 mSv.
CONCLUSION: There is no significant difference in simulated lung nodules' detection when comparing ULD and LD protocols, but both differ from CCT, especially when considering lower-attenuating nodules.
Copyright © 2021 Cleverson Alex Leitão et al.

Entities:  

Year:  2021        PMID: 33552601      PMCID: PMC7847358          DOI: 10.1155/2021/6667779

Source DB:  PubMed          Journal:  Radiol Res Pract        ISSN: 2090-195X


  27 in total

1.  The National Lung Screening Trial: overview and study design.

Authors:  Denise R Aberle; Christine D Berg; William C Black; Timothy R Church; Richard M Fagerstrom; Barbara Galen; Ilana F Gareen; Constantine Gatsonis; Jonathan Goldin; John K Gohagan; Bruce Hillman; Carl Jaffe; Barnett S Kramer; David Lynch; Pamela M Marcus; Mitchell Schnall; Daniel C Sullivan; Dorothy Sullivan; Carl J Zylak
Journal:  Radiology       Date:  2010-11-02       Impact factor: 11.105

2.  Use of 100 kV versus 120 kV in computed tomography pulmonary angiography in the detection of pulmonary embolism: effect on radiation dose and image quality.

Authors:  Maninderpal Kaur Gill; Anushya Vijayananthan; Gnana Kumar; Kasthoori Jayarani; Kwan-Hoong Ng; Zhonghua Sun
Journal:  Quant Imaging Med Surg       Date:  2015-08

3.  Performance of ultralow-dose CT with iterative reconstruction in lung cancer screening: limiting radiation exposure to the equivalent of conventional chest X-ray imaging.

Authors:  Adrian Huber; Julia Landau; Lukas Ebner; Yanik Bütikofer; Lars Leidolt; Barbara Brela; Michelle May; Johannes Heverhagen; Andreas Christe
Journal:  Eur Radiol       Date:  2016-01-26       Impact factor: 5.315

4.  Pulmonary nodule detection with low-dose CT of the lung: agreement among radiologists.

Authors:  Joseph K Leader; Thomas E Warfel; Carl R Fuhrman; Sara K Golla; Joel L Weissfeld; Ricardo S Avila; Wesly D Turner; Bin Zheng
Journal:  AJR Am J Roentgenol       Date:  2005-10       Impact factor: 3.959

5.  MedCalc: a new computer program for medical statistics.

Authors:  F Schoonjans; A Zalata; C E Depuydt; F H Comhaire
Journal:  Comput Methods Programs Biomed       Date:  1995-12       Impact factor: 5.428

6.  Ultra-Low-Dose CT of the Thorax Using Iterative Reconstruction: Evaluation of Image Quality and Radiation Dose Reduction.

Authors:  Yookyung Kim; Yoon Kyung Kim; Bo Eun Lee; Seok Jeong Lee; Yon Ju Ryu; Jin Hwa Lee; Jung Hyun Chang
Journal:  AJR Am J Roentgenol       Date:  2015-06       Impact factor: 3.959

7.  National lung screening trial: variability in nodule detection rates in chest CT studies.

Authors:  Paul F Pinsky; David S Gierada; P Hrudaya Nath; Ella Kazerooni; Judith Amorosa
Journal:  Radiology       Date:  2013-04-16       Impact factor: 11.105

Review 8.  The epidemiology of lung cancer.

Authors:  Patricia M de Groot; Carol C Wu; Brett W Carter; Reginald F Munden
Journal:  Transl Lung Cancer Res       Date:  2018-06

Review 9.  Radiation risk from CT: implications for cancer screening.

Authors:  Jeffrey M Albert
Journal:  AJR Am J Roentgenol       Date:  2013-07       Impact factor: 3.959

10.  Lung nodules assessment in ultra-low-dose CT with iterative reconstruction compared to conventional dose CT.

Authors:  Shiqi Jin; Bo Zhang; Lina Zhang; Shu Li; Songbai Li; Peiling Li
Journal:  Quant Imaging Med Surg       Date:  2018-06
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.