Skip to main content

Advertisement

SpringerLink
Log in

Correlation between capillary blood flow of retina estimated by SLDF and circulatory parameters of retrobulbar blood vessels estimated by CDI in diabetic patients

  • Clinical Investigation
  • Published:
Graefe's Archive for Clinical and Experimental Ophthalmology Aims and scope Submit manuscript

Abstract

Background

The aim of this study was to investigate the correlation between the recordings of scanning laser Doppler flowmetry (SLDF) of the retina and the recordings of color Doppler imaging (CDI) of the retrobulbar circulatory parameters in diabetic patients without diabetic retinopathy.

Methods

Twenty-three diabetic patients without diabetic retinopathy were evaluated using SLDF for the apparent retinal circulation and using CDI for the apparent retrobulbar circulation in the central retinal artery, the central retinal vein and the short posterior ciliary artery. The circulatory parameters estimated in the retinal tissue using SLDF were velocity, volume and flow. The Circulatory parameters that were recorded using the CDI method were peak systolic velocity (PSV), end-diastolic velocity (EDV), mean velocity (MV), pulsatility (PI) and resistivity index (RI). We obtained the correlation coefficients between parameters of SLDF and CDI. Multiple regression analysis was performed with “flow” parameter of SLDF recordings as a dependent variable and all estimated CDI parameters as independent variables. Multiple linear regression was also performed, including the “flow” parameter of SLDF recordings as a dependent variable and PI of the CDI parameters of all the measured blood vessels as independent variables.

Results

The “velocity” parameter of SLDF was significantly correlated with the PI in the central retinal artery (P=0.02), PI and RI in the central retinal vein (P=0.01; P=0.01) and the PSV, MV, PI and RI in the short posterior ciliary artery, as recorded by CDI (P=0.003; P=0.02; P=0.002; P=0.01). The “volume” parameter of SLDF was significantly correlated with the PI and RI in the central retinal vein (P=0.03; P=0.03) and the PSV in the short posterior ciliary artery (P=0.03), as recorded by CDI. The “flow” parameter of SLDF was significantly correlated with the PI and RI in the central retinal vein (P=0.01; P=0.01) and the PSV, MV, PI and RI in the short posterior ciliary artery (P=0.003; P=0.03; P=0.002; P=0.01) as measured by CDI. The multiple regression analysis was statistically non-significant (P=0.86). The multiple linear regression analysis indicated that from among the PI of the evaluated blood vessels, the PI of the short posterior ciliary artery was the most significant predictor of the “flow” parameter of SLDF (P=0.01).

Conclusion

This study suggests a positive correlation between the recordings of SLDF of the retinal tissue and the retrobulbar circulatory parameters of the CDI in diabetic patients without diabetic retinopathy.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Bohdanecka Z, Orgul S, Meyer AB, Prunte C, Flammer J (1999) Relationship between blood flow velocities in retrobulbar vessels and laser Doppler flowmetry at the optic disk in glaucoma patients. Ophthalmologica 213(3):145–149

    Article  Google Scholar 

  2. Cuypers MHM, Kasanardjo JS, Polak BCP (2000) Retinal blood flow changes in diabetic retinopathy measured with the Heidelberg scanning laser Doppler flowmeter. Graefe’s Arch Clin Exp Ophthalmol 238:935–941

    Article  Google Scholar 

  3. Dimitrova G, Kato S, Tamaki Y et al. (2001) Choroidal circulation in diabetic patients. Eye 15:602–607

    Google Scholar 

  4. Dimitrova G, Tamaki Y, Kato S (2002) Retrobulbar circulation in patients with age-related maculopathy. Eye 16:580–586

    Article  Google Scholar 

  5. Dimitrova G, Kato S, Yamashita H, et al (2003) Relation between retrobulbar circulation and progression of diabetic retinopathy. Br J Ophthalmol 87:622–625

    Article  Google Scholar 

  6. Friedman E, Krupsky S, Lane AM et al. (1995) Ocular blood flow velocity in age-related macular degeneration. Ophthalmology 102:640–646

    CAS  PubMed  Google Scholar 

  7. Goebel W, Lieb WE, Ho A (1995) Color Doppler imaging: a new technique to assess orbital blood flow in patients with diabetic retinopathy. Invest Ophthalmol Vis Sci 36:860–870

    Google Scholar 

  8. Grunwald JE, Brucker AJ, Braunstein SN et al. (1994) Strict metabolic control and retinal blood flow in diabetes mellitus. Br J Ophthalmol 78:598–604

    Google Scholar 

  9. Guthoff RF, Berger RW, Winkler P, Helmke K, Chumbley LC (1991) Doppler ultrasonography of the ophthalmic and central retinal vessels. Arch Ophthalmol 109:532–536

    Google Scholar 

  10. Harris A, Harris M, Biller J et al. (2000) Aging affects the retrobulbar circulation differently in women and men. Arch Ophthalmol 118:1076–1080

    Google Scholar 

  11. Hedges TR, Baron EM, Hedges TR, Sinclair SH (1994) The retinal venous pulse—its relation to optic disc characteristics and choroidal pulse. Ophthalmology 101:542–547

    Google Scholar 

  12. Hellstedt, R Kaaja, K Teramo, H Immonen (1996) Macular blood flow during pregnancy in patients with early DR measured by blue-light entoptic simulation. Graefe’s Arch Clin Exp Ophthalmol 234:659–663

    Article  Google Scholar 

  13. Levine DN (1998) Spontaneous pulsation of the retinal veins. Microvasc Res 56:154–165

    Article  Google Scholar 

  14. Kagemann L, Harris A, Chung HS, Evans D, Buck S, Martin B (1998) Heidelberg retinal flowmetry: factors affecting blood flow measurement. Br J Opthalmol 82:131–136

    Google Scholar 

  15. Kawagishi T, Nishizawa Y, Emoto M (1995) Impaired retinal artery blood flow in IDDM patients before clinical manifestation of diabetic retinopathy. Diabetes Care 18:1544–1549

    Google Scholar 

  16. Keiser HJ, Schotzau A, Flammer J (1996) Blood flow velocities in the extraocular vessels in normal volunteers. Am J Ophthalmol 122:364–370

    Google Scholar 

  17. Kiss B, Polska E, Dorner G et al. (2002) Retinal blood flow during hyperoxia revisited: concerted results using different measurement techniques. Microvasc Res 64:75–85

    Article  Google Scholar 

  18. Kohner EM (1993) The retinal blood flow in diabetes. Diabetes Metab (Paris) 19:401–404

    Google Scholar 

  19. Michaelson G, Langhans MJ, Groh MJM (1995) Clinical investigation of the combination of a scanning laser ophthalmoscope and laser Doppler flowmeter. Ger J Ophthalmol 4:342–349

    Google Scholar 

  20. Michelson G, Langhans MJ, Groh MJM (1996) Perfusion of the juxtapapillary retina and the neuroretinal rim area in primary open angle glaucoma. J Glaucoma 5(2):91–98

    Google Scholar 

  21. Michelson G, Harazny J (1997) Relationship between ocular pulse pressures and retinal vessel velocities. Ophthalmology 104:664–671

    Google Scholar 

  22. Niwa Y, Yamamoto T, Kawakami H, Kitazawa Y (1998) Reproducibility of color Doppler imaging for orbital arteries in Japanese patients with normal-tension glaucoma. Jpn J Ophthalmol 42:389–392

    Article  Google Scholar 

  23. Polska E, Kircher K, Ehrlich P, Vecsei PV, Schmetterer L (2001) RI in central retinal artery as assessed by CDI does not correspond to retinal vascular resistance. Am J Physiol Heart Circ Physiol 280:H1442–H1447

    Google Scholar 

  24. Polska E, Luksch A, Ehrlich P, Sieder A, Schmetterer L (2002) Measurements in the peripheral retina using LDF and laser interferometry are mainly influenced by the choroidal circulation. Curr Eye Res 24(4):318–323

    Article  Google Scholar 

  25. Remsch H, Spraul CW, Lang GK, Lang GE (2000) Changes of retinal capillary blood flow in age-related maculopathy. Graefe’s Arch Clin Exp Ophthalmol 238:960–964

    Article  Google Scholar 

  26. Schmetterer L, Salomon A, Rheinberger A, Unfried C, Lexer F, Wolzt M (1996) Fundus pulsation measurements in diabetic retinopathy. Graefe’s Arch Clin Exp Ophthalmol 235:283–287

    Google Scholar 

  27. Snell RS, Lemp MA (1998) Clinical anatomy of the eye, 2nd edn. Blackwell, Malden, USA

    Google Scholar 

  28. Sullivan P, Cioffi GA, Wang L et al. (1999) The influence of ocular pulsatility on scanning laser Doppler flowmetry. Am J Ophthalmol 128:81–87

    Article  Google Scholar 

  29. Tsang AC, Harris A, Kagemann L et al. (1999) Brightness alters HRF measurements in an in vitro model. Invest Ophthalmol Vis Sci 40:795–799

    Google Scholar 

  30. Wolf S, Arend O, Toonen H, Bertram B, Jung F, Reim M (1991) Retinal capillary blood flow measurement with a scanning laser ophthalmoscope. Ophthalmology 98:996–1000

    Google Scholar 

  31. Williamson TH, Baxter GM (1994) Central retinal vein occlusion, an investigation by color Doppler imaging. Ophthalmology 101:1362–1372

    Google Scholar 

  32. Zinser G (1999) Scanning laser Doppler flowmetry—principle and technique. In: Pillunat LE, Harris A, Anderson DR, Greve EL (eds) Current concepts on ocular blood flow in glaucoma. Kugler Publications, The Hague, Netherlands, pp 197–204

    Google Scholar 

Download references

Acknowledgements

This study was sponsored by the Japanese Ministry for Science and Education.

Author information

Authors and Affiliations

  1. Clinic for Eye Diseases, Clinical Center, Skopje, Macedonia

    Galina Dimitrova

  2. Department of Ophthalmology, Tokyo University Hospital, Tokyo, Japan

    Goji Tomita & Satoshi Kato

  3. Vodnjanska 17, 1000, Skopje, Macedonia

    Galina Dimitrova

Authors
  1. Galina Dimitrova
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Goji Tomita
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Satoshi Kato
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Galina Dimitrova.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Dimitrova, G., Tomita, G. & Kato, S. Correlation between capillary blood flow of retina estimated by SLDF and circulatory parameters of retrobulbar blood vessels estimated by CDI in diabetic patients. Graefe's Arch Clin Exp Ophthalmol 243, 653–658 (2005). https://doi.org/10.1007/s00417-004-1070-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00417-004-1070-0

Keywords

Search

Navigation