Literature DB >> 25063211

Ultra low-dose chest CT using filtered back projection: comparison of 80-, 100- and 120 kVp protocols in a prospective randomized study.

Ranish Deedar Ali Khawaja1, Sarabjeet Singh2, Rachna Madan3, Amita Sharma2, Atul Padole2, Sarvenaz Pourjabbar2, Subba Digumarthy2, Jo-Anne Shepard2, Mannudeep K Kalra2.   

Abstract

PURPOSE: To assess lesion detection and diagnostic image quality of filtered back projection (FBP) reconstruction technique in ultra low-dose chest CT examinations. METHODS AND MATERIALS: In this IRB-approved ongoing prospective clinical study, 116 CT-image-series at four different radiation-doses were performed for 29 patients (age, 57-87 years; F:M - 15:12; BMI 16-32 kg/m(2)). All patients provided written-informed-consent for the acquisitions of additional ultra low-dose (ULD) series on a 256-slice MDCT (iCT, Philips Healthcare). In-addition to their clinical standard-dose chest CT (SD, 120 kV mean CTDIvol, 6 ± 1 mGy), ULD-CT was subsequently performed at three-dose-levels (0.9 mGy [120 kV]; 0.5 mGy [100 kV] and 0.2 mGy [80 kV]). Images were reconstructed with FBP (2.5mm 1.25 mm) resulting into four-stacks: SD-FBP (reference-standard), FBP0.9, FBP0.5, and FBP0.2. Four thoracic-radiologists from two-teaching-hospitals independently-evaluated data for lesion-detection and visibility-of-small-structures. Friedman's-non-parametric-test with post hoc Dunn's-test was used for data-analysis.
RESULTS: Interobserver-agreement was substantial between radiologists (k=0.6-0.8). With pooled analysis, 146-pulmonary (27-groundglass-opacities, 64-solid-lung-nodules, 7-consolidations, 27-emphysema) and 347-mediastinal/soft tissue lesions (87-mediastinal, 46-hilar, 62-axillary-lymph-nodes, and 11-mediastinal-masses) were evaluated. Compared to the SD-FBP, 100% pulmonary-lesions were seen with FBP0.9, up to 81% with FBP0.5 (missed: 4), and up to 30% with FBP0.2 images (missed:16). Compared to SD-FBP, all enlarged mediastinal-lymph-nodes were seen with FBP0.9 images. All mediastinal-masses (>2 cm, 11/11) were seen equivalent to SD-FBP images at 0.9 mGy. Across all sizes of patients, FBP0.9 images had optimal visualization for lung findings. They were optimal for mediastinal soft tissues for only non-obese patients.
CONCLUSION: Filtered-back-projection technique allows optimal lesion detection and acceptable image quality for chest-CT examinations at CDTIvol of 0.9 mGy for lung and mediastinal findings in selected sizes of patients.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Chest CT; Filtered back projection; Radiation dose reduction

Mesh:

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Year:  2014        PMID: 25063211     DOI: 10.1016/j.ejrad.2014.06.024

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  9 in total

1.  Ultralow-dose CT with tin filtration for detection of solid and sub solid pulmonary nodules: a phantom study.

Authors:  Katharina Martini; Kai Higashigaito; Borna K Barth; Stephan Baumueller; Hatem Alkadhi; Thomas Frauenfelder
Journal:  Br J Radiol       Date:  2015-10-22       Impact factor: 3.039

2.  Lung cancer screening with ultra-low dose CT using full iterative reconstruction.

Authors:  Masayo Fujita; Toru Higaki; Yoshikazu Awaya; Toshio Nakanishi; Yuko Nakamura; Fuminari Tatsugami; Yasutaka Baba; Makoto Iida; Kazuo Awai
Journal:  Jpn J Radiol       Date:  2017-02-14       Impact factor: 2.374

3.  Assessment of chest CT at CTDIvol less than 1 mGy with iterative reconstruction techniques.

Authors:  Atul Padole; Subba Digumarthy; Efren Flores; Rachna Madan; Shelly Mishra; Amita Sharma; Mannudeep K Kalra
Journal:  Br J Radiol       Date:  2017-01-05       Impact factor: 3.039

4.  Point Organ Radiation Dose in Abdominal CT: Effect of Patient Off-Centering in an Experimental Human Cadaver Study.

Authors:  Ranish Deedar Ali Khawaja; Sarabjeet Singh; Atul Padole; Alexi Otrakji; Diego Lira; Da Zhang; Bob Liu; Andrew Primak; George Xu; Mannudeep K Kalra
Journal:  Radiat Prot Dosimetry       Date:  2017-08-01       Impact factor: 0.972

5.  Thoracic lymph node delineation at dose-reduced (1 mSv) dose-modulated contrast enhanced MDCT: a retrospective pilot study.

Authors:  Marco Paolini; Kathrin Wirth; Amanda Tufman; Maximilian Reiser; Rudolf M Huber; Ullrich G Mueller-Lisse
Journal:  Radiol Med       Date:  2016-05-06       Impact factor: 3.469

Review 6.  Chest CT features of coronavirus disease 2019 (COVID-19) pneumonia: key points for radiologists.

Authors:  Marina Carotti; Fausto Salaffi; Piercarlo Sarzi-Puttini; Andrea Agostini; Alessandra Borgheresi; Davide Minorati; Massimo Galli; Daniela Marotto; Andrea Giovagnoni
Journal:  Radiol Med       Date:  2020-06-04       Impact factor: 3.469

7.  Personalized Chest Computed Tomography: Minimum Diagnostic Radiation Dose Levels for the Detection of Fibrosis, Nodules, and Pneumonia.

Authors:  Matthias May; Rafael Heiss; Julia Koehnen; Matthias Wetzl; Marco Wiesmueller; Christoph Treutlein; Lars Braeuer; Michael Uder; Markus Kopp
Journal:  Invest Radiol       Date:  2022-03-01       Impact factor: 6.016

8.  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

Review 9.  Advances in imaging for lung emphysema.

Authors:  Katharina Martini; Thomas Frauenfelder
Journal:  Ann Transl Med       Date:  2020-11
  9 in total

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