Literature DB >> 26981449

Comparison of dual energy subtraction chest radiography and traditional chest X-rays in the detection of pulmonary nodules.

Farheen Manji1, Jiheng Wang1, Geoff Norman1, Zhou Wang1, David Koff1.   

Abstract

BACKGROUND: Dual energy subtraction (DES) radiography is a powerful but underutilized technique which aims to improve the diagnostic value of an X-ray by separating soft tissue from bones, producing two different images. Compared to traditional chest X-rays, DES requires exposure to higher doses of radiation but may achieve higher accuracy. The objective of this study was to assess the clinical benefits of DES radiography by comparing the speed and accuracy of diagnosis of pulmonary nodules with DES versus traditional chest X-rays.
METHODS: Five radiologists and five radiology residents read the DES and traditional chest X-rays of 51 patients, 34 with pulmonary nodules and 17 without. Their accuracy and speed in the detection of nodules were measured using specialized image display software.
RESULTS: DES radiography reduced reading time from 13 to 10 sec (P<0.0001) in staff and from 21 to 15 sec in residents (P<0.0001). There was also a small increase in sensitivity 0.58 to 0.67 overall (P<0.10) with no change in specificity (0.85 overall).
CONCLUSIONS: By eliminating rib shadows in soft tissue images, DES improved the speed and accuracy of radiologists in the diagnosis of pulmonary nodules.

Entities:  

Keywords:  Dual energy subtraction (DES); chest X-ray; chest imaging; pulmonary nodules

Year:  2016        PMID: 26981449      PMCID: PMC4775247          DOI: 10.3978/j.issn.2223-4292.2015.10.09

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  9 in total

1.  Improvement in detection of pulmonary nodules: digital image processing and computer-aided diagnosis.

Authors:  H MacMahon
Journal:  Radiographics       Date:  2000 Jul-Aug       Impact factor: 5.333

2.  Clinical evaluation of pulmonary nodules with dual-exposure dual-energy subtraction chest radiography.

Authors:  Masahiko Uemura; Masao Miyagawa; Yoshifumi Yasuhara; Tadashi Murakami; Hirohiko Ikura; Kana Sakamoto; Hiroyuki Tagashira; Kenji Arakawa; Teruhito Mochizuki
Journal:  Radiat Med       Date:  2005-09

Review 3.  Dual-energy subtraction chest radiography: what to look for beyond calcified nodules.

Authors:  Janet E Kuhlman; Jannette Collins; Gregory N Brooks; Donald R Yandow; Lynn S Broderick
Journal:  Radiographics       Date:  2006 Jan-Feb       Impact factor: 5.333

Review 4.  Dual energy subtraction digital radiography: technical considerations, clinical applications, and imaging pitfalls.

Authors:  Robert C Gilkeson; Peter B Sachs
Journal:  J Thorac Imaging       Date:  2006-11       Impact factor: 3.000

5.  Conventional chest radiography vs dual-energy computed radiography in the detection and characterization of pulmonary nodules.

Authors:  F Kelcz; F E Zink; W W Peppler; D G Kruger; D L Ergun; C A Mistretta
Journal:  AJR Am J Roentgenol       Date:  1994-02       Impact factor: 3.959

6.  Improved detection of small lung cancers with dual-energy subtraction chest radiography.

Authors:  Feng Li; Roger Engelmann; Kunio Doi; Heber MacMahon
Journal:  AJR Am J Roentgenol       Date:  2008-04       Impact factor: 3.959

7.  Missed non-small cell lung cancer: radiographic findings of potentially resectable lesions evident only in retrospect.

Authors:  Priya Kumar Shah; John H M Austin; Charles S White; Pavni Patel; Linda B Haramati; Gregory D N Pearson; Maria C Shiau; Yahya M Berkmen
Journal:  Radiology       Date:  2003-01       Impact factor: 11.105

8.  Detection of lung cancer using single-exposure dual-energy subtraction chest radiography.

Authors:  Kana Ide; Hiroshi Mogami; Tadashi Murakami; Yoshifumi Yasuhara; Masao Miyagawa; Teruhito Mochizuki
Journal:  Radiat Med       Date:  2007-06-27

9.  Lung cancer detected during a screening program using four-month chest radiographs.

Authors:  J R Muhm; W E Miller; R S Fontana; D R Sanderson; M A Uhlenhopp
Journal:  Radiology       Date:  1983-09       Impact factor: 11.105

  9 in total
  8 in total

1.  The additional value of the lateral chest radiograph for the detection of small pulmonary nodules-a ROC analysis.

Authors:  Robin Alexander Kluthke; Ralph Kickuth; Paul Martin Bansmann; Carolin Tüshaus; Stephan Adams; Dieter Liermann; Johannes Kirchner
Journal:  Br J Radiol       Date:  2016-09-26       Impact factor: 3.039

2.  Development and validation of bone-suppressed deep learning classification of COVID-19 presentation in chest radiographs.

Authors:  Ngo Fung Daniel Lam; Hongfei Sun; Liming Song; Dongrong Yang; Shaohua Zhi; Ge Ren; Pak Hei Chou; Shiu Bun Nelson Wan; Man Fung Esther Wong; King Kwong Chan; Hoi Ching Hailey Tsang; Feng-Ming Spring Kong; Yì Xiáng J Wáng; Jing Qin; Lawrence Wing Chi Chan; Michael Ying; Jing Cai
Journal:  Quant Imaging Med Surg       Date:  2022-07

3.  Diagnostic accuracy and added value of dual-energy subtraction radiography compared to standard conventional radiography using computed tomography as standard of reference.

Authors:  Katharina Martini; Marco Baessler; Stephan Baumueller; Thomas Frauenfelder
Journal:  PLoS One       Date:  2017-03-16       Impact factor: 3.240

4.  Efficiency and reporting confidence analysis of sequential dual-energy subtraction for thoracic x-ray examinations.

Authors:  Mehmet Can Gezer; Oktay Algin; Aytac Durmaz; Halil Arslan
Journal:  Qatar Med J       Date:  2019-09-23

5.  DeBoNet: A deep bone suppression model ensemble to improve disease detection in chest radiographs.

Authors:  Sivaramakrishnan Rajaraman; Gregg Cohen; Lillian Spear; Les Folio; Sameer Antani
Journal:  PLoS One       Date:  2022-03-31       Impact factor: 3.240

6.  The detection of lung cancer using massive artificial neural network based on soft tissue technique.

Authors:  Kishore Rajagopalan; Suresh Babu
Journal:  BMC Med Inform Decis Mak       Date:  2020-10-31       Impact factor: 2.796

7.  Accuracy of Conventional and Machine Learning Enhanced Chest Radiography for the Assessment of COVID-19 Pneumonia: Intra-Individual Comparison with CT.

Authors:  Katharina Martini; Christian Blüthgen; Joan E Walter; Michael Messerli; Thi Dan Linh Nguyen-Kim; Thomas Frauenfelder
Journal:  J Clin Med       Date:  2020-11-06       Impact factor: 4.241

8.  Lung cancer screening by single-shot dual-energy subtraction using flat-panel detector.

Authors:  Hiroshi Mogami; Yumiko Onoike; Hiroshi Miyano; Kenji Arakawa; Hiromi Inoue; Kouji Sakae; Toshiaki Kawakami
Journal:  Jpn J Radiol       Date:  2021-06-26       Impact factor: 2.374

  8 in total

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