Mp18-02 Does Deep Learning Reconstruction Improve Ureteral Stone Detection and Subjective Image Quality in the Ct Images of Patients With Metal Hardware?

You have accessJournal of UrologyImaging/Uroradiology I (MP18)1 May 2024MP18-02 DOES DEEP LEARNING RECONSTRUCTION IMPROVE URETERAL STONE DETECTION AND SUBJECTIVE IMAGE QUALITY IN THE CT IMAGES OF PATIENTS WITH METAL HARDWARE? Ruben Crew, Jason Smith, Mohammad Kassir, Ala'a Farkouh, Kai Wen Cheng, Bertha Escobar-Poni, Jun Ho Chung, Uy Lae Kim, Jammie-Lyn Quines, Grant Sajdak, Katya Hanessian, Sikai Song, Akin S. Amasyali, Zhamshid Okhunov, Udochukwu Oyoyo, D. Daniel Baldwin, Kerby Oberg, and D. Duane Baldwin Ruben CrewRuben Crew , Jason SmithJason Smith , Mohammad KassirMohammad Kassir , Ala'a FarkouhAla'a Farkouh , Kai Wen ChengKai Wen Cheng , Bertha Escobar-PoniBertha Escobar-Poni , Jun Ho ChungJun Ho Chung , Uy Lae KimUy Lae Kim , Jammie-Lyn QuinesJammie-Lyn Quines , Grant SajdakGrant Sajdak , Katya HanessianKatya Hanessian , Sikai SongSikai Song , Akin S. AmasyaliAkin S. Amasyali , Zhamshid OkhunovZhamshid Okhunov , Udochukwu OyoyoUdochukwu Oyoyo , D. Daniel BaldwinD. Daniel Baldwin , Kerby ObergKerby Oberg , and D. Duane BaldwinD. Duane Baldwin View All Author Informationhttps://doi.org/10.1097/01.JU.0001008672.83391.ed.02AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Interpreting CT scans in patients with metal hardware may be challenging due to the metal artifact causing image noise, particularly when lower radiation doses are utilized. Those with metal prostheses presenting with signs and symptoms of urinary stones may therefore pose a diagnostic challenge. The purpose of this study was to compare ureteral stone detection and image quality of CT scans with and without deep learning reconstruction (DLR) and metal artifact reduction (MAR), at different radiation doses in the presence of metal hip prostheses. METHODS: Ten urinary system combinations (each with a different combination of ureteral stones sized from 4-6 mm) were separately implanted into a cadaver with bilateral hip prostheses. Each set was scanned under three different radiation doses (Conventional Dose=141 mAs, Low Dose (LD)=30 mAs, and Ultra-low Dose (ULD)=7.0 mAs). For each dose, two scans were obtained: one with DLR and MAR, and a second scan with no additional reconstruction. Utilizing a modified 5-point Likert scale, two blinded radiologists reviewed images and ranked each image in terms of Artifact, Image Noise, Image Sharpness, Overall Quality, and Diagnostic Confidence. The sensitivity at each setting for stone detection was determined. RESULTS: ULD with DLR and MAR resulted in significantly improved subjective image quality in all 5 measured domains (p<0.05 for all) compared to ULD (Figure 1). For conventional and LD, DLR and MAR significantly improved image quality only in the artifact domain (p<0.05 for both). The sensitivity of ULD for stone detection increased from 25.7% to 50% when DLR and MAR was applied, however this improvement was not significant (p=0.2). The sensitivity of ULD with DLR and MAR was comparable to conventional dose CT (50% vs 57%; p=0.7). CONCLUSIONS: The application of DLR with MAR to ULD resulted in improved subjective image quality across all domains and provided sensitivity comparable to conventional dose CT for stone detection in patients with hip prostheses. Use of DLR with MAR may allow the application of low dose protocols in patients with hip prostheses. Download PPT Source of Funding: None © 2024 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 211Issue 5SMay 2024Page: e300 Advertisement Copyright & Permissions© 2024 by American Urological Association Education and Research, Inc.Metrics Author Information Ruben Crew More articles by this author Jason Smith More articles by this author Mohammad Kassir More articles by this author Ala'a Farkouh More articles by this author Kai Wen Cheng More articles by this author Bertha Escobar-Poni More articles by this author Jun Ho Chung More articles by this author Uy Lae Kim More articles by this author Jammie-Lyn Quines More articles by this author Grant Sajdak More articles by this author Katya Hanessian More articles by this author Sikai Song More articles by this author Akin S. Amasyali More articles by this author Zhamshid Okhunov More articles by this author Udochukwu Oyoyo More articles by this author D. Daniel Baldwin More articles by this author Kerby Oberg More articles by this author D. Duane Baldwin More articles by this author Expand All Advertisement PDF downloadLoading ...