Photon-counting CT urogram: optimal acquisition potential (kV) determination for virtual noncontrast creation
- PMID: 38006415
- DOI: 10.1007/s00261-023-04113-7
Photon-counting CT urogram: optimal acquisition potential (kV) determination for virtual noncontrast creation
Abstract
Purpose: To quantitatively and qualitatively compare the degree of iodine removal in the collecting system from PCCT urographic phase-derived virtual noncontrast (VNC) images obtained at 140 kV versus 120 kV.
Methods: A retrospective PACS search identified adult patients (>18 years) who underwent a PCCT urogram for hematuria from 4/2022 to 4/2023 with available urographic phase-derived VNC images in PACS. Tube voltage (120 kV, 140 kV), body mass index, CTDIvol, dose length product (DLP), and size-specific dose estimate (SSDE) were recorded. Hounsfield Unit (HU) in both renal pelvises and the urinary bladder on urographic-derived VNC were recorded. Three radiologists qualitatively assessed the degree of iodine removal (renal pelvis, urinary bladder) and diagnostic confidence for urinary stone detection. Continuous variables were compared for 140 kV versus 120 kV with the Wilcoxon rank sum test. A p < .05 indicated statistical significance.
Results: 63 patients (34 male; median (Q1, Q3) age: 30 (26, 34) years; 140 kV/120 kV: 30 patients/33 patients) were included. BMI, CTDIvol, DLP, and SSDE were not different for 140 kV and 120 kV (all p > .05). Median (Q1, Q3) collecting system HU (renal pelvis and bladder) was 0.9 (- 3.6, 4.4) HU at 140 kV and 10.5 (3.6, 26.7) HU at 120 kV (p = .04). Diagnostic confidence for urinary calculi was 4.6 [1.1] at 140 kV and 4.1 [1.4] at 120 kV (p = .005). Diagnostic confidence was 5/5 (all readers) in 82.2% (74/90) at 140 kV and 59.6% (59/99) at 120 kV (p < .001).
Conclusion: PCCT urographic phase-derived VNC images obtained at 140 kV had better collecting system iodine removal than 120 kV with similar patient radiation exposure. With excellent PCCT urographic phase iodine removal at 140 kV, consideration can be made to utilize a single-phase CT urogram in young patients.
Keywords: CT urogram; Photon-counting CT; Virtual noncontrast; Virtual unenhanced.
© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Similar articles
-
Photon-Counting Computed Tomography Versus Energy-Integrating Dual-Energy Computed Tomography: Virtual Noncontrast Image Quality Comparison.J Comput Assist Tomogr. 2024 Mar-Apr 01;48(2):251-256. doi: 10.1097/RCT.0000000000001562. Epub 2023 Nov 17. J Comput Assist Tomogr. 2024. PMID: 38013203
-
Attenuation values of renal parenchyma in virtual noncontrast images acquired from multiphase renal dual-energy CT: Comparison with standard noncontrast CT.Eur J Radiol. 2018 Apr;101:103-110. doi: 10.1016/j.ejrad.2018.02.001. Epub 2018 Feb 7. Eur J Radiol. 2018. PMID: 29571782
-
Virtual Noncontrast Imaging of the Liver Using Photon-Counting Detector Computed Tomography: A Systematic Phantom and Patient Study.Invest Radiol. 2022 Jul 1;57(7):488-493. doi: 10.1097/RLI.0000000000000860. Epub 2022 Feb 9. Invest Radiol. 2022. PMID: 35136003
-
Protocol analysis of dual-energy CT for optimization of kidney stone detection in virtual non-contrast reconstructions.Eur Radiol. 2020 Aug;30(8):4295-4305. doi: 10.1007/s00330-020-06806-9. Epub 2020 Apr 3. Eur Radiol. 2020. PMID: 32242275
-
Update on Multienergy CT: Physics, Principles, and Applications.Radiographics. 2020 Sep-Oct;40(5):1284-1308. doi: 10.1148/rg.2020200038. Epub 2020 Aug 21. Radiographics. 2020. PMID: 32822281 Review.
Cited by
-
Approaches, advantages, and challenges to photon counting detector and multi-energy CT.Abdom Radiol (NY). 2024 Sep;49(9):3251-3260. doi: 10.1007/s00261-024-04357-x. Epub 2024 May 15. Abdom Radiol (NY). 2024. PMID: 38744702 Review.
-
Photon counting CT clinical adoption, integration, and workflow.Abdom Radiol (NY). 2024 Dec;49(12):4600-4609. doi: 10.1007/s00261-024-04503-5. Epub 2024 Jul 25. Abdom Radiol (NY). 2024. PMID: 39052057 Review.
References
-
- Rajendran K, Petersilka M, Henning A, Shanblatt ER, Schmidt B, Flohr TG, Ferrero A, Baffour F, Diehn FE, Yu L, Rajiah P, Fletcher JG, Leng S, McCollough CH (2022) First Clinical Photon-counting Detector CT System: Technical Evaluation. Radiology 2022;303(1):130-138. https://doi.org/10.1148/radiol.212579 - DOI - PubMed
-
- Leng S, Bruesewitz M, Tao S, Rajendran K, Halaweish AF, Campeau NG, Fletcher JG, McCollough CH (2019). Photon-counting Detector CT: System Design and Clinical Applications of an Emerging Technology. Radiographics;39(3):729-743. https://doi.org/10.1148/rg.2019180115 - DOI - PubMed
-
- Leng S, Rajendran K, Gong H, Zhou W, Halaweish AF, Henning A, Kappler S, Baer M, Fletcher JG, McCollough CH (2018). 150-mum Spatial Resolution Using Photon-Counting Detector Computed Tomography Technology: Technical Performance and First Patient Images. Invest Radiol;53(11):655-662. https://doi.org/10.1097/RLI.0000000000000488 - DOI - PubMed - PMC
-
- Yu Z, Leng S, Kappler S, Hahn K, Li Z, Halaweish AF, Henning A, McCollough CH (2016). Noise performance of low-dose CT: comparison between an energy integrating detector and a photon counting detector using a whole-body research photon counting CT scanner. J Med Imaging (Bellingham);3(4):043503. https://doi.org/10.1117/1.JMI.3.4.043503 - DOI - PubMed
-
- Walter SS, Schneeweiss S, Maurer M, Kraus MS, Wichmann JL, Bongers MN, Lescan M, Bamberg F, Othman AE (2018). Virtual non-enhanced dual-energy CT reconstruction may replace true non-enhanced CT scans in the setting of suspected active hemorrhage. Eur J Radiol;109:218-222. https://doi.org/10.1016/j.ejrad.2018.10.026 - DOI - PubMed
MeSH terms
Substances
LinkOut - more resources
Full Text Sources