The aim of this study was to evaluate the impact of sickle cell diseases (SCD) on renal arteries blood flow indices by using of color Doppler ultrasonography (CDU) in addition to relationships with age and body mass index (BMI). The method adapted was an experimental study among a sample consists of 115 SCD patients and 100 as control group. CDU of the main renal and segmental arteries performed among all patients and controls. All the patients were scanned in stable state condition. The results analysis carried out by EXCELL software for the collected variables which revealed that: the patients showed higher resistivity index RI and pulsatility index PI than control subjects (for patients 0.8 & 1.5 and 0.7 & 1.4 for control group. The significant positive correlation between RI and age (r = 0.194, and r = 0.061) for patients and control group respectively in the right renal artery and as well the RI correlated proportionally with BMI (r=0.53) for patients and (r=0.05) for control group.
Published in | International Journal of Medical Imaging (Volume 5, Issue 2) |
DOI | 10.11648/j.ijmi.20170502.11 |
Page(s) | 9-13 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2017. Published by Science Publishing Group |
Doppler, Sonography, Pulsatility, Resistivity, Sickle-Cell, Disease
[1] | Herrick JB. (2001). Peculiar elongated and sickle-shaped red blood corpuscles in a case of severe anemia. Yale Journal of Biol. Med. 74 (3), 179–184. |
[2] | Pham PT, Pham PC, Wilkinson AH, Lew SQ. (2000). Renal abnormalities in sickle cell disease. Kidney Int., 57, 1–8. |
[3] | Powars D, Chan L, Schroeder W. (1990). The variable expression of sickle cell disease is genetically determined. Semin Hematol. 27, 360–376. |
[4] | Kishor B. Taori, Ritu S. Chaudhary, Vinod Attarde, Suresh Dhakate, Virender Sheorain, Prashant Nimbalkar and Preetam N. Wasnik. (2008). Renal Doppler Indices in Sickle Cell Disease: Early Radiologic Predictors of Renovascular Changes. American Journal of Roentgenology, vol. 191 (1), 239-242. DOI:10.2214/AJR.07.3125 |
[5] | Walker TM, Beardsall K, Thomas PW, Serjeant GR. (1996). Renal length in sickle cell disease: observations from a cohort study. Clin. Nephrol. 46, 384–388. |
[6] | Harrow BR, Sloane JA, Liebman NC. (1963). Roentgenologic demonstration of renal papillary necrosis in sickle cell trait. N Engl J Med. 268, 969–976. |
[7] | Robert B. Francis, Jr, and Cage S. Johnson. (1991). Vascular Occlusion in Sickle Cell Disease: Current Concepts and Unanswered Questions. The Journal of the American Society of Hematology, 77 (7), 1405-1414. |
[8] | Avasthi PS, Voyles WF, Greene ER. (1984). Noninvasive diagnosis of renal artery stenosis by echo-Doppler velocimetry. Kidney Int. 25, 824–829. |
[9] | Rodgers PM, Bates JA, Irving HC. (1992). Intrarenal Doppler ultrasound studies in normal and acutely obstructed kidneys. Br. J. Radiol. 65, 207–212. |
[10] | Aikimbaev KS, Oguz M, Guvenc B, Baslamisli F, Kocak R. (1996). Spectral pulsed Doppler sonography of renal vascular resistance in sickle cell disease: clinical implications. Br. J. Radiol. 69, 1125–1129. |
[11] | Guvenc B, Aikimbaev K, Unsal C, Akgul E, Akgul AE, Binokay F, Besena A. (2005). Renal vascular resistance in sickle cell painful crisis. Int J. Hematol, 82, 127–131. |
[12] | Mitchell E. Tublin, Ronald O. Bude, Joel F. Platt. (2003). Review: The Resistive Index in Renal Doppler Sonography:Where Do We Stand?. AJR 180,: 885-892. |
[13] | Rawashdeh YF, Mortensen J, Horlyck A, Olsen KO, Fisker RV, Schroll L & Frokiaer J. (2000). Resistive Index: an Experimental Study of Normal Range in the Pig. Scand J Urol Nephrol 34: 10-14. |
[14] | Krumme B, Hollenbeck M. (2007). Doppler sonography in renal artery stenosis: does the resistive index predict the success of intervention? (editorial) Nephrol Dial Transplant 22, 692-696. |
[15] | Aikimbaev KS1, Oğuz M, Güvenç B, Başlamişli F, Koçak R. (1996). Spectral pulsed Doppler sonography of renal vascular resistance in sickle cell disease: clinical implications. Br. J. Radiol. 69(828), 1125-1129. DOI: 10.1259/0007-1285-69-828-1125. |
[16] | Taori KB, Chaudhary RS, Attarde V, Dhakate S, Sheorain V, Nimbalkar P, et al. (2008). Renal Doppler indices in sickle cell disease: early radiologic predictors of renovascular changes. AJR Am J Roentgenol.; 191 (1), 239-242. |
APA Style
Mohamed Abdalla Eltahir, Mohamed Elfadil Mohamed Gar-elnabi, Mohammed Ahmed Ali Omer, Osman Abdelgadir, Elsafi Ahmed Abdallah. (2017). Impact of Sickle Cell Disease in Renal Arteries Blood Flow Indices Using Ultrasonography. International Journal of Medical Imaging, 5(2), 9-13. https://doi.org/10.11648/j.ijmi.20170502.11
ACS Style
Mohamed Abdalla Eltahir; Mohamed Elfadil Mohamed Gar-elnabi; Mohammed Ahmed Ali Omer; Osman Abdelgadir; Elsafi Ahmed Abdallah. Impact of Sickle Cell Disease in Renal Arteries Blood Flow Indices Using Ultrasonography. Int. J. Med. Imaging 2017, 5(2), 9-13. doi: 10.11648/j.ijmi.20170502.11
AMA Style
Mohamed Abdalla Eltahir, Mohamed Elfadil Mohamed Gar-elnabi, Mohammed Ahmed Ali Omer, Osman Abdelgadir, Elsafi Ahmed Abdallah. Impact of Sickle Cell Disease in Renal Arteries Blood Flow Indices Using Ultrasonography. Int J Med Imaging. 2017;5(2):9-13. doi: 10.11648/j.ijmi.20170502.11
@article{10.11648/j.ijmi.20170502.11, author = {Mohamed Abdalla Eltahir and Mohamed Elfadil Mohamed Gar-elnabi and Mohammed Ahmed Ali Omer and Osman Abdelgadir and Elsafi Ahmed Abdallah}, title = {Impact of Sickle Cell Disease in Renal Arteries Blood Flow Indices Using Ultrasonography}, journal = {International Journal of Medical Imaging}, volume = {5}, number = {2}, pages = {9-13}, doi = {10.11648/j.ijmi.20170502.11}, url = {https://doi.org/10.11648/j.ijmi.20170502.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmi.20170502.11}, abstract = {The aim of this study was to evaluate the impact of sickle cell diseases (SCD) on renal arteries blood flow indices by using of color Doppler ultrasonography (CDU) in addition to relationships with age and body mass index (BMI). The method adapted was an experimental study among a sample consists of 115 SCD patients and 100 as control group. CDU of the main renal and segmental arteries performed among all patients and controls. All the patients were scanned in stable state condition. The results analysis carried out by EXCELL software for the collected variables which revealed that: the patients showed higher resistivity index RI and pulsatility index PI than control subjects (for patients 0.8 & 1.5 and 0.7 & 1.4 for control group. The significant positive correlation between RI and age (r = 0.194, and r = 0.061) for patients and control group respectively in the right renal artery and as well the RI correlated proportionally with BMI (r=0.53) for patients and (r=0.05) for control group.}, year = {2017} }
TY - JOUR T1 - Impact of Sickle Cell Disease in Renal Arteries Blood Flow Indices Using Ultrasonography AU - Mohamed Abdalla Eltahir AU - Mohamed Elfadil Mohamed Gar-elnabi AU - Mohammed Ahmed Ali Omer AU - Osman Abdelgadir AU - Elsafi Ahmed Abdallah Y1 - 2017/03/15 PY - 2017 N1 - https://doi.org/10.11648/j.ijmi.20170502.11 DO - 10.11648/j.ijmi.20170502.11 T2 - International Journal of Medical Imaging JF - International Journal of Medical Imaging JO - International Journal of Medical Imaging SP - 9 EP - 13 PB - Science Publishing Group SN - 2330-832X UR - https://doi.org/10.11648/j.ijmi.20170502.11 AB - The aim of this study was to evaluate the impact of sickle cell diseases (SCD) on renal arteries blood flow indices by using of color Doppler ultrasonography (CDU) in addition to relationships with age and body mass index (BMI). The method adapted was an experimental study among a sample consists of 115 SCD patients and 100 as control group. CDU of the main renal and segmental arteries performed among all patients and controls. All the patients were scanned in stable state condition. The results analysis carried out by EXCELL software for the collected variables which revealed that: the patients showed higher resistivity index RI and pulsatility index PI than control subjects (for patients 0.8 & 1.5 and 0.7 & 1.4 for control group. The significant positive correlation between RI and age (r = 0.194, and r = 0.061) for patients and control group respectively in the right renal artery and as well the RI correlated proportionally with BMI (r=0.53) for patients and (r=0.05) for control group. VL - 5 IS - 2 ER -