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Diagnostic performance of advanced modeled iterative reconstruction applied images for detecting urinary stones on submillisievert low-dose computed tomography. | LitMetric

Diagnostic performance of advanced modeled iterative reconstruction applied images for detecting urinary stones on submillisievert low-dose computed tomography.

Acta Radiol

2 Department of CT research collaborations, SIEMENS Healthcare Ltd., Poongsan Building, Seoul, Republic of Korea.

Published: August 2018

AI Article Synopsis

  • Repeated CT scans in young adults with urinary stones pose radiation concerns, prompting a study to see if radiation doses can be lowered without sacrificing diagnostic accuracy.
  • The study involved 92 patients undergoing both standard and low-dose CT scans, using a technique called advanced modeled iterative reconstruction (ADMIRE) to analyze the presence of urinary stones.
  • Results showed that while different ADMIRE settings did not significantly affect sensitivity in detecting stones compared to low-dose scans, the overall sensitivity of low-dose CT was still lower than standard doses, indicating challenges in reducing radiation while maintaining performance.

Article Abstract

Background Repeated computed tomography (CT) scans may be an issue in young adults with urinary stones. Therefore, it is important to know how far the dose can be reduced while maintaining the diagnostic performance. Purpose To generate a hypothesis that it is feasible to decrease the radiation dose to a sub-millisievert (mSv) level with the addition of advanced modeled iterative reconstruction (ADMIRE) while maintaining the sensitivity to standard-dose CT (SDCT) for the detection of urinary stones. Material and Methods Ninety-two consecutive patients with urinary stones underwent non-enhanced CT that consisted of standard (120 kVp, 200 mAs) and lose-dose (LDCT) (80 kVp, 60 mAs). The LDCT images were reconstructed separately with five different strengths of ADMIRE (hereafter, S1-S5) and filtered back projection (FBP). Two blinded radiologists independently recorded a number of urinary stones in the six LDCT datasets and SDCT. The sensitivity of each set for detecting urinary stones was compared using the McNemar test. Results A total of 240 urinary stones were analyzed. The sensitivities of the six LDCT datasets showed no difference (FBP, S1-S5, for reader 1: 78%, 79%, 79%, 80%, 80%, and 80%; for reader 2: 64%, 63%, 64%, 64%, 65%, and 66%, P > 0.05, respectively), which were lower than those of SDCT for both readers (reader 1: 88%; reader 2: 81%, P < 0.0001, respectively). Conclusion Despite the addition of ADMIRE, it may not be feasible to decrease the radiation dose to a sub-mSv level while maintaining the sensitivity to SDCT for the detection of urinary stones.

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Source
http://dx.doi.org/10.1177/0284185117738548DOI Listing

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