Literature DB >> 21939964

Digital tomosynthesis of the chest: utility for detection of lung metastasis in patients with colorectal cancer.

H N Jung1, M J Chung, J H Koo, H C Kim, K S Lee.   

Abstract

AIM: To evaluate the performance of digital tomosynthesis (DT) of the chest for detection of lung nodules in patients with colorectal cancer (CRC).
MATERIALS AND METHODS: The institutional review board approved this study, and all patients provided informed consent. A commercial caesium iodide/amorphous silicon (CsI/a-Si) flat-panel detector system was used to verify the performance of the DT and chest radiography (XR) methods. DT was performed in 142 patients with CRC. All 142 patients underwent chest computed tomography (CT) within a week of DT. As a reference standard, two radiologists reviewed the chest CT in consensus and recorded the presence of pulmonary nodules. Another two radiologists independently observed the DT images and recorded the presence of pulmonary nodules. The status of all lung nodules was assessed either histologically or by follow-up over a period of 1 year. The nodules were classified into metastasis, benign, and uncertain. Statistical analysis of the results was performed.
RESULTS: Two hundred and thirty-seven nodules from 142 patients were found at CT. These included 71 proven metastases and 126 benign nodules; 40 nodules were uncertain. Observers detected 83% of all lung nodules and 93% of proven metastases using DT. Among 237 nodules, 147 nodules were larger than 4mm in diameter on the CT images. Observers detected 87% of lung nodules that were larger than 4mm.
CONCLUSION: Despite a reasonably low radiation dose, DT is a sensitive method, and is comparable to chest CT for the detection of lung nodules, particularly metastatic lung nodules in patients with CRC.
Copyright © 2011 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21939964     DOI: 10.1016/j.crad.2011.08.017

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  14 in total

1.  A comparison of digital tomosynthesis and chest radiography in evaluating airway lesions using computed tomography as a reference.

Authors:  Ji Yung Choo; Ki Yeol Lee; Ami Yu; Je-Hyeong Kim; Seung Heon Lee; Jung Won Choi; Eun-Young Kang; Yu Whan Oh
Journal:  Eur Radiol       Date:  2015-12-11       Impact factor: 5.315

Review 2.  Digital tomosynthesis in lung cancer: state of the art.

Authors:  Luca Bertolaccini; Andrea Viti; Alberto Terzi
Journal:  Ann Transl Med       Date:  2015-06

3.  Comparison of digital tomosynthesis and computed tomography for lung nodule detection in SOS screening program.

Authors:  Maurizio Grosso; Roberto Priotto; Donatella Ghirardo; Alberto Talenti; Emanuele Roberto; Luca Bertolaccini; Alberto Terzi; Stéphane Chauvie
Journal:  Radiol Med       Date:  2017-04-20       Impact factor: 3.469

4.  Effect of radiation dose level on the detectability of pulmonary nodules in chest tomosynthesis.

Authors:  Sara A Asplund; Åse A Johnsson; Jenny Vikgren; Angelica Svalkvist; Agneta Flinck; Marianne Boijsen; Valeria A Fisichella; Lars Gunnar Månsson; Magnus Båth
Journal:  Eur Radiol       Date:  2014-05-04       Impact factor: 5.315

5.  Multi-Institutional Evaluation of Digital Tomosynthesis, Dual-Energy Radiography, and Conventional Chest Radiography for the Detection and Management of Pulmonary Nodules.

Authors:  James T Dobbins; H Page McAdams; John M Sabol; Dev P Chakraborty; Ella A Kazerooni; Gautham P Reddy; Jenny Vikgren; Magnus Båth
Journal:  Radiology       Date:  2016-07-19       Impact factor: 11.105

6.  A phantom study for ground-glass nodule detectability using chest digital tomosynthesis with iterative reconstruction algorithm by ten observers: association with radiation dose and nodular characteristics.

Authors:  Katsunori Miyata; Yukihiro Nagatani; Mitsuru Ikeda; Masashi Takahashi; Norihisa Nitta; Satoru Matsuo; Shinichi Ohta; Hideji Otani; Ayumi Nitta-Seko; Yoko Murakami; Keiko Tsuchiya; Akitoshi Inoue; Sayaka Misaki; Khishigdorj Erdenee; Tetsuo Kida; Kiyoshi Murata
Journal:  Br J Radiol       Date:  2017-02-17       Impact factor: 3.039

7.  The effect of averaging adjacent planes for artifact reduction in matrix inversion tomosynthesis.

Authors:  Devon J Godfrey; H Page McAdams; James T Dobbins
Journal:  Med Phys       Date:  2013-02       Impact factor: 4.071

Review 8.  Comparison of digital tomosynthesis and chest radiography for the detection of pulmonary nodules: systematic review and meta-analysis.

Authors:  Jun H Kim; Kyung H Lee; Kyoung-Tae Kim; Hyun J Kim; Hyeong S Ahn; Yeo J Kim; Ha Y Lee; Yong S Jeon
Journal:  Br J Radiol       Date:  2016-10-19       Impact factor: 3.039

9.  Studies of a prototype linear stationary x-ray source for tomosynthesis imaging.

Authors:  P R Schwoebel; John M Boone; Joe Shao
Journal:  Phys Med Biol       Date:  2014-04-17       Impact factor: 3.609

10.  Digital tomosynthesis for evaluating metastatic lung nodules: nodule visibility, learning curves, and reading times.

Authors:  Kyung Hee Lee; Jin Mo Goo; Sang Min Lee; Chang Min Park; Young Eun Bahn; Hyungjin Kim; Yong Sub Song; Eui Jin Hwang
Journal:  Korean J Radiol       Date:  2015-02-27       Impact factor: 3.500

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