Literature DB >> 23493215

Detection of paranasal sinus opacification with digital tomosynthesis radiography: a clinical pilot study.

Haruhiko Machida1, Toshiyuki Yuhara, Eiko Ueno, Keiko Yoda, Hiroshi Sunose, Kazuyo Kita, Takuya Nishino, John M Sabol, Shigeru Suzuki.   

Abstract

OBJECTIVE: We investigated the diagnostic accuracy of digital tomosynthesis (DT) radiography for detecting sinus opacification.
METHODS: For 31 adult patients with signs suggestive of sinusitis who underwent both sinus multi-detector-row computed tomography and DT, 2 readers independently assessed opacification in the maxillary, ethmoid, frontal, and sphenoid sinuses by DT and in consensus determined the presence of opacification in each sinus by multi-detector-row computed tomography as a reference. We assessed the diagnostic accuracy of DT and interreader agreement with DT using Cohen κ statistics.
RESULTS: For the maxillary, ethmoid, frontal, and sphenoid sinuses, opacification was identified in 81.7%, 75.9%, 59.3%, and 40.7%; the sensitivity/specificity for detecting opacification by DT were 93.9/72.7%, 79.5/71.4%, 93.8/72.7%, and 90.9/75.0% for reader 1 and 95.9/100.0%, 95.5/92.9%, 100.0/81.8%, and 81.8/75.0% for reader 2; the interreader agreement was 0.79, 0.42, 0.67, and 0.63, respectively.
CONCLUSIONS: Digital tomosynthesis allows relatively accurate detection of sinus opacification with substantial interreader agreement for all the sinuses except the ethmoid sinuses.

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Year:  2013        PMID: 23493215     DOI: 10.1097/RCT.0b013e31827c0cb1

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  2 in total

1.  Reliability of semiquantitative assessment of osteophytes and subchondral cysts on tomosynthesis images by radiologists with different levels of expertise.

Authors:  Daichi Hayashi; Li Xu; Jeffrey Gusenburg; Frank W Roemer; David J Hunter; Ling Li; Ali Guermazi
Journal:  Diagn Interv Radiol       Date:  2014 Jul-Aug       Impact factor: 2.630

2.  Assessment of vertebral wedge strength using cancellous textural properties derived from digital tomosynthesis and density properties from dual energy X-ray absorptiometry and high resolution computed tomography.

Authors:  Yener N Yeni; Woong Kim; Daniel Oravec; Mary Nixon; George W Divine; Michael J Flynn
Journal:  J Biomech       Date:  2018-08-22       Impact factor: 2.712

  2 in total

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