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Influence of CT dose reduction on AI-driven malignancy estimation of incidental pulmonary nodules.

Alan Arthur PetersJustin B SolomonOyunbileg von StackelbergEhsan SameiNjood AlsaihatiWaldo ValenzuelaManuel DebicChristian HeidtAdrian T HuberAndreas ChristeJohannes T HeverhagenHans-Ulrich KauczorClaus P HeusselLukas EbnerMark O Wielpütz
Published in: European radiology (2023)
• LCP-CNN may be affected by CT image parameters such as noise resulting from low-dose CT acquisitions. • CT dose reduction can alter pulmonary nodule management recommendations by affecting the outcome of the LCP-CNN. • Utilization of a lower malignancy risk threshold prevents underestimation of pulmonary malignancies in high-risk cohorts.
Keyphrases
  • image quality
  • dual energy
  • computed tomography
  • contrast enhanced
  • low dose
  • pulmonary hypertension
  • positron emission tomography
  • magnetic resonance
  • artificial intelligence
  • air pollution
  • clinical practice