Anales de la RANM

112 A N A L E S R A N M R E V I S T A F U N D A D A E N 1 8 7 9 TOMOGRAFÍA COMPUTARIZADA ESPECTRAL Y UNIDADES HOUNSFIELD Armiñana A, et al. An RANM. 2023;140(02): 101 - 113 3. Hubbell J, Seltzer S. Substances of dosimetric interest. Tables of X-Ray mass attenuation co- efficients and mass energy-absorption coeffi- cients 1 keV to 20 MeV for elements Z = 1 to 92 and 48 additional. 1995 http://physics.nist.gov/ PhysRefData/XrayMassCoef/cover.html, [onli- ne], http://physics.nist.gov/PhysRefData/Xra- yMassCoef/cover.html (Accessed July 5, 2023) 4. McCollough CH, Boedeker K, Cody D et al. Principles and applications of multienergy CT: Report of AAPM Task Group 291. Med Phys. 2020; 47(7): e881-e912. https://doi.org/10.1002/ mp.14157 5. Rodríguez-Plata IT, Medina-Escobedo M, Basulto-Martínez M et al. Implementation of a technique based on Hounsfield units and Hounsfield density to determine kidney stone composition. Tomography. 2021; 7(4): 606-613. https://doi.org/10.3390/tomography7040051 6. Nakasato T, Morita J, Ogawa Y. Evaluation of Hounsfield units as a predictive factor for the outcome of extracorporeal shock wave litho- tripsy and stone composition. Urolithiasis. 2015; 43(1): 69-75. https://doi.org/10.1007/ s00240-014-0712-x 7. Jawahar A, González,B, Balasubramanian N, Adams W, Goldberg A. Comparison of computed tomography hepatic steatosis criteria for identi- fication of abnormal liver function and clinical risk factors, in incidentally noted fatty liver. Eur J Gastroen Hepat. 2020; 32(2): 216–221. https:// doi.org/10.1097/MEG.0000000000001502 8. Viëtor CL, Creemers SG, van Kemenade FJ, van Ginhoven TM, Hofland LJ, Feelders RA. How to differentiate benign from malignant adreno- cortical tumors? Cancers. 2021; 13(17): 4383. https://doi.org/10.3390/cancers13174383 9. Ichikawa K, Miyoshi T, Osawa K et al. High pe- ricoronary adipose tissue attenuation on com- puted tomography angiography predicts cardio- vascular events in patients with type 2 diabetes mellitus: post-hoc analysis from a prospective cohort study. Cardiovasc diabetol. 2022; 21(1): 44. https://doi.org/10.1186/s12933-022-01478-9 10. Hu P, Yang X, Li Y et al. Predictive effects of ad- mission white blood cell counts and Hounsfield unit values on delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage. Clin Neurol Neurosur. 2022; 212: 107087. https:// doi.org/10.1016/j.clineuro.2021.107087 11. Mühl-Benninghaus R, Dressler J, Haußmann A, Simgen A, Reith W, Yilmaz U. Utility of Houns- field unit in the diagnosis of tandem occlusion in acute ischemic stroke. Neurol Sci. 2021; 42(6): 2391-2396. https://doi.org/10.1007/ s10072-020-04798-4 12. Jeong H G, Bang J S, Kim B J, Bae H J, Han M K. Hematoma Hounsfield units and expan- sion of intracerebral hemorrhage: a potential marker of hemostatic clot contraction. Int J Stroke. 2021; 16(2): 163-171. https://doi. org/10.1177/1747493019895703 13. Erdogan A, Sambel M, Caglayan V, Avci, S. Impor- tance of the Hounsfield unit value measured by com- puted tomography in the differentiation of hydro- nephrosis and pyonephrosis. Cureus. 2020; 12(11): e11675. https://doi.org/10.7759/cureus.11675 14. Zhang LX, Xiang JJ, Wei PY, Ding JW, Luo DC, Peng ZY, Han ZJ. Diagnostic value of computed tomography (CT) histogram analy- sis in thyroid benign solitary coarse calcifi- cation nodules. J Zhejiang Univ Sci B. 2018; 19(3): 211-217. https://doi.org/10.1631/jzus. B1700119 15. Yang HH, Lv YL, Fan XH, Ai ZY, Xu XC, Ye B, Hu DZ. Factors distinguishing invasive from pre-invasive adenocarcinoma presen- ting as pure ground glass pulmonary nodules. Radiat Oncol. 2020; 15(1): 186. https://doi. org/10.1186/s13014-020-01628-x 16. Banchhor SK, Londhe ND, Araki T, Saba L, Ra- deva P, Khanna NN, Suri JS. Calcium detection, its quantification, and grayscale morphology- based risk stratification using machine learning in multimodality big data coronary and carotid scans: a review. Comput Biol Med. 2018; 101: 184-198. https://doi.org/10.1016/j.compbio- med.2018.08.017 17. Mascalchi M, Camiciottoli G, Diciotti S. Lung densitometry: Why, how and when. J Tho- rac Dis. 2017; 9(9): 3319-3345. https://doi. org/10.21037/jtd.2017.08.17 18. Buenger F, Sakr Y, Eckardt N, Senft C, Schwarz F. Correlation of quantitative computed to- mography derived bone density values with Hounsfield units of a contrast medium com- puted tomography in 98 thoraco-lumbar verte- bral bodies. Arch Orthop Trauma Surg. 2022; 142(11): 3335-3340. https://doi.org/10.1007/ s00402-021-04184-5 19. Lund EA, Samtani R, Winston M et al. Asso- ciation of Perioperative Computed Tomo- graphy Hounsfield Units and Failure of Femoral Neck Fracture Fixation. J Orthop Trauma. 2020; 34(12): 632-638. https://doi. org/10.1097/BOT.0000000000001843 20. Molwitz I, Campbell GM, Yamamura J et al. Fat quantification in dual-layer de- tector spectral computed tomography : Experimental development and first in- patient validation. Invest Radiol. 2022; 57(7): 463-469. https://doi.org/10.1097/ RLI.0000000000000858 21. Bolus D, Morgan D, Berland L. Effective use of the Hounsfield unit in the age of variable energy CT. Abdom Radiol. 2017; 42(3): 766- 771. https://doi.org/10.1007/s00261-017- 1052-4 22. Grajo JR, Sahani DV. Dual-energy CT of the abdomen and pelvis: Radiation dose considerations. J Am Coll Radiol. 2018; 15(8) :1128-1132. https://doi.org/10.1016/j. jacr.2017.08.012 23. Takane Y, Sato K, Kageyama R, Takano H, Ka- yano S. Accuracy of virtual non-contrast ima- ges with different algorithms in dual-energy computed tomography. Radiol Phys Technol. 2022; 15(3): 234-244. https://doi.org/10.1007/ s12194-022-00668-0 24. Mahmoudi S, Bernatz S, Althoff FC et al. Dual- energy CT based material decomposition to differentiate intrahepatic cholangiocarcinoma from hepatocellular carcinoma. Eur J Radiol. 2022; 156: 110556.

RkJQdWJsaXNoZXIy ODI4MTE=