Skip to content
2000
Volume 21, Issue 1
  • ISSN: 1573-4056
  • E-ISSN: 1875-6603

Abstract

Purpose

This study aims to evaluate the clinical efficacy of spectral dual-energy detector computed tomography (SDCT) and its associated parameters in diagnosing acute pulmonary embolism (APE).

Methods

Retrospective analysis of imaging data from 86 APE-diagnosed patients using SDCT was conducted. Virtual monoenergetic images (VMIs) at 40, 70, and 100 KeV, Iodine concentration (IC) maps, Electron Cloud Density Map (ECDM), Effective atomic number (Z-eff) maps, and Hounsfield unit attenuation plots (VMI slope) were reconstructed from pulmonary artery phase CT images. The subtraction (SUB) and ratios of VMIs were calculated, and two experienced radiologists evaluated the patients. The Mann-Whitney U test assessed the parameter ability to differentiate between normal and obstructed lung fields and detect emboli in the pulmonary artery. Receiver Operating Characteristic Curves (ROC) were generated for performance evaluation.

Results

Significant differences (<0.001) in 40KeV, Ratio, SUB, and Z-eff were found between normal and embolized lung fields. Logistic regression demonstrated good detection performance for Z-eff (AUC=0.986), SUB (AUC=0.975), and IC (AUC=0.974). Parameters such as 40KeV (AUC=0.990), 70KeV (AUC=0.980), 100KeV (AUC=0.962), SUB (AUC=0.990), Z-eff (AUC=0.999), and IC (AUC=1.000) exhibited good detection capabilities for identifying emboli in the pulmonary artery.

Conclusion

SDCT facilitates the identification of diseased lung fields and localization of emboli in the pulmonary artery, thereby improving diagnostic efficiency in APE.

This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Loading

Article metrics loading...

/content/journals/cmir/10.2174/0115734056323974241202175740
2025-01-02
2025-09-04
Loading full text...

Full text loading...

/deliver/fulltext/cmir/21/1/CMIR-21-E15734056323974.html?itemId=/content/journals/cmir/10.2174/0115734056323974241202175740&mimeType=html&fmt=ahah

References

  1. HuangW.M. WuW.J. YangS.H. SungK.T. HungT.C. HungC.L. YunC.H. Quantitative volumetric computed tomography embolic analysis, the Qanadli score, biomarkers, and clinical prognosis in patients with acute pulmonary embolism.Sci. Rep.2022121762010.1038/s41598‑022‑11812‑6
    [Google Scholar]
  2. HuX. MaL. ZhangJ. LiZ. ShenY. HuD. Use of pulmonary CT angiography with low tube voltage and low-iodine-concentration contrast agent to diagnose pulmonary embolism.Sci. Rep.2017711274110.1038/s41598‑017‑13077‑w
    [Google Scholar]
  3. KonstantinidesS.V. MeyerG. BecattiniC. BuenoH. GeersingG.J. HarjolaV.P. HuismanM.V. HumbertM. JenningsC.S. JiménezD. KucherN. LangI.M. LankeitM. LorussoR. MazzolaiL. MeneveauN. Ní ÁinleF. PrandoniP. PruszczykP. RighiniM. TorbickiA. Van BelleE. ZamoranoJ.L. GaliéN. GibbsJ.S.R. AboyansV. AgenoW. AgewallS. AlmeidaA.G. AndreottiF. BarbatoE. BauersachsJ. BaumbachA. BeyguiF. CarlsenJ. De CarloM. DelcroixM. DelgadoV. SubiasP.E. FitzsimonsD. GaineS. GoldhaberS.Z. GopalanD. HabibG. HalvorsenS. JenkinsD. KatusH.A. KjellströmB. LainscakM. LancellottiP. LeeG. Le GalG. MessasE. MoraisJ. PetersenS.E. PetronioA.S. PiepoliM.F. PriceS. RoffiM. SalviA. SanchezO. ShlyakhtoE. SimpsonI.A. StorteckyS. ThielmannM. NoordegraafA.V. BecattiniC. BuenoH. GeersingG-J. HarjolaV-P. HuismanM.V. HumbertM. JenningsC.S. JiménezD. KucherN. LangI.M. LankeitM. LorussoR. MazzolaiL. MeneveauN. Ní ÁinleF. PrandoniP. PruszczykP. RighiniM. TorbickiA. VanBelleE. LuisZamoranoJ. WindeckerS. AboyansV. BaigentC. ColletJ-P. DeanV. DelgadoV. FitzsimonsD. GaleC.P. GrobbeeD. HalvorsenS. HindricksG. IungB. JüniP. KatusH.A. LandmesserU. LeclercqC. LettinoM. LewisB.S. MerkelyB. MuellerC. PetersenS.E. Sonia PetronioA. RichterD.J. RoffiM. ShlyakhtoE. SimpsonI.A. Sousa-UvaM. TouyzR.M. HammoudiN. HayrapetyanH. MascherbauerJ. IbrahimovF. PolonetskyO. LancellottiP. TokmakovaM. SkoricB. MichaloliakosI. HutyraM. MellemkjaerS. MostafaM. ReinmetsJ. JääskeläinenP. AngoulvantD. BauersachsJ. GiannakoulasG. ZimaE. VizzaC.D. SugraliyevA. BytyçiI. MacaA. EreminieneE. HuijnenS. XuerebR. DiaconuN. BulatovicN. AsfalouI. BosevskiM. HalvorsenS. SobkowiczB. FerreiraD. PetrisA.O. MoiseevaO. ZavattaM. ObradovicS. ŠimkovaI. RadselP. IbanezB. WikströmG. AujeskyD. KaymazC. ParkhomenkoA. Pepke-ZabaJ. 2019 ESC Guidelines for the diagnosis and management of acute pulmonary embolism developed in collaboration with the European Respiratory Society (ERS).Eur. Heart J.202041454360310.1093/eurheartj/ehz405
    [Google Scholar]
  4. WendelboeA.M. RaskobG.E. Global burden of thrombosis: Epidemiologic aspects.Circ. Res.201611891340134710.1161/CIRCRESAHA.115.306841
    [Google Scholar]
  5. LutseyP.L. ZakaiN.A. Epidemiology and prevention of venous thromboembolism.Nat. Rev. Cardiol.202320424826210.1038/s41569‑022‑00787‑6
    [Google Scholar]
  6. Martinez LichaC.R. McCurdyC.M. MaldonadoS.M. LeeL.S. 2020Current management of acute pulmonary embolism.Ann. Thorac. Cardiovasc. Surg.657126210.5761/atcs.ra.19‑00158
    [Google Scholar]
  7. Di NisioM. SquizzatoA. RutjesA.W. BüllerH.R. ZwindermanA.H. BossuytP.M. Diagnostic accuracy of D-dimer test for exclusion of venous thromboembolism: A systematic review.J. Thromb. Hemos.200752296304
    [Google Scholar]
  8. Robert-EbadiH. RighiniM. Diagnosis of acute Pulmonary Embolism.Hamostaseologie2018381112110.5482/HAMO‑17‑07‑0023
    [Google Scholar]
  9. RoyP.M. DouilletD. PenalozaA. Contemporary management of acute pulmonary embolism.Trends Cardiovasc. Med.202232525926810.1016/j.tcm.2021.06.002
    [Google Scholar]
  10. CarrierM. RighiniM. WellsP.S. PerrierA. AndersonD.R. RodgerM.A. PleasanceS. Le GalG. Subsegmental pulmonary embolism diagnosed by computed tomography: incidence and clinical implications. A systematic review and meta-analysis of the management outcome studies.J. Thromb. Haemost.2010881716172210.1111/j.1538‑7836.2010.03938.x
    [Google Scholar]
  11. MooresL. KlineJ. PortilloA.K. ResanoS. VicenteA. ArrietaP. CorresJ. TapsonV. YusenR.D. JiménezD. Multidetector computed tomographic pulmonary angiography in patients with a high clinical probability of pulmonary embolism.J. Thromb. Haemost.2016141114120
    [Google Scholar]
  12. van OmmenF. de JongH.W.A.M. DankbaarJ.W. BenninkE. LeinerT. SchilhamA.M.R. Dose of CT protocols acquired in clinical routine using a dual-layer detector CT scanner: A preliminary report.Eur. J. Radiol.2019112657110.1016/j.ejrad.2019.01.011
    [Google Scholar]
  13. OzawaY. OhnoY. NagataH. TamokamiK. NishikimiK. OshimaY. HamabuchiN. MatsuyamaT. UedaT. ToyamaH. Advances for pulmonary functional imaging: Dual-energy computed tomography for pulmonary functional imaging.Diagnostics13132295202310.3390/diagnostics13132295
    [Google Scholar]
  14. YuanJ. WangY. HuX. ShiS. ZhangN. WangL. DengW. FengS.T. PengZ. LuoY. Use of dual-layer spectral detector computed tomography in the diagnosis of pancreatic neuroendocrine neoplasms.Eur. J. Radiol.202315911066010.1016/j.ejrad.2022.110660
    [Google Scholar]
  15. HongY.J. ShimJ. LeeS.M. ImD.J. HurJ. Dual-energy CT for pulmonary embolism: Current and evolving clinical applications.Korean J. Radiol.20212291555156810.3348/kjr.2020.1512
    [Google Scholar]
  16. WangY. LiuX. LiaoZ. LuX. ChenL. LeiY. ZhangH. LinF. Dual-energy spectral detector computed tomography differential diagnosis of adrenal adenoma and pheochromocytoma: Changes in the energy level curve, a phenomenon caused by lipid components?Front. Endocrinol. (Lausanne)20231399815410.3389/fendo.2022.998154
    [Google Scholar]
  17. ReimerR.P. Große HokampN. Fehrmann EfferothA. KrauskopfA. ZopfsD. KrögerJ.R. PersigehlT. MaintzD. BunckA.C. Virtual monoenergetic images from spectral detector computed tomography facilitate washout assessment in arterially hyper-enhancing liver lesions.Eur. Radiol.20213153468347710.1007/s00330‑020‑07379‑3
    [Google Scholar]
  18. ZantonelliG. CozziD. BindiA. CavigliE. MoroniC. LuvaràS. GrazziniG. DantiG. GranataV. MieleV. Acute pulmonary embolism: Prognostic role of computed tomography pulmonary angiography (CTPA).Tomography20228152953910.3390/tomography8010042
    [Google Scholar]
  19. Langius-WiffenE. SlotmanD.J. GroeneveldJ. AC van OschJ. NijholtI.M. de BoerE. Nijboer-OosterveldJ. VeldhuisW.B. de JongP.A. BoomsmaM.F. External validation of the RSNA 2020 pulmonary embolism detection challenge winning deep learning algorithm.Eur. J. Radiol.202417311136110.1016/j.ejrad.2024.111361
    [Google Scholar]
  20. SteinP.D. HullR.D. Multidetector computed tomography for the diagnosis of acute pulmonary embolism.Curr. Opin. Pulm. Med.200713538438810.1097/MCP.0b013e32821acdbe
    [Google Scholar]
  21. MortensenJ. GutteH. SPECT/CT and pulmonary embolism.Eur. J. Nucl. Med. Mol. Imaging41 Suppl 1Suppl 1S81S90201410.1007/s00259‑013‑2614‑524213621
    [Google Scholar]
  22. Le RouxP.Y. RobinP. TromeurC. DavisA. Robert-EbadiH. CarrierM. Le GalG. SalaunP.Y. Ventilation/perfusion SPECT for the diagnosis of pulmonary embolism: A systematic review.J. Thromb. Haemost.2020181129102920
    [Google Scholar]
  23. SauterA.P. ShapiraN. KoppF.K. AicheleJ. BoddenJ. KnipferA. RummenyE.J. NoëlP.B. CTPA with a conventional CT at 100 kVp vs. a spectral-detector CT at 120 kVp: Comparison of radiation exposure, diagnostic performance and image quality.Eur. J. Radiol. Open2020710023410.1016/j.ejro.2020.100234
    [Google Scholar]
  24. MuR. MengZ. GuoZ. QinX. HuangG. YangX. JinH. YangP. DengM. ZhangX. ZhuX. Diagnostic value of dual-layer spectral detector CT in differentiating lung adenocarcinoma from squamous cell carcinoma.Front. Oncol.20221286821610.3389/fonc.2022.868216
    [Google Scholar]
  25. PeñaJ.A. ShaulJ.L. MüllerM. DammT. BarkmannR. KurzB. CampbellG.M. Freitag-WolfS. GlüerC.C. Dual-layer spectral–computed tomography enhances the separability of calcium-based implant material from bone: An ex vivo quantitative imaging study.2022J Bone Miner Res.37122472248210.1002/jbmr.471036125939
    [Google Scholar]
/content/journals/cmir/10.2174/0115734056323974241202175740
Loading
/content/journals/cmir/10.2174/0115734056323974241202175740
Loading

Data & Media loading...

Supplements

Supplementary material is available on the publisher's website along with the published article.

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error
Please enter a valid_number test