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Macular Vascular Fractal Dimension in the Deep Capillary Layer as an Early Indicator of Microvascular Loss for Retinopathy in Type 2 Diabetic Patients.

Abstract To determine the ability of fractal dimension to detect early changes in the retinal microvascular network imaged by optical coherence tomography angiography (OCT-A) in type 2 diabetic patients.
PMID
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Authors

Mayor MeshTerms

Fractals

Keywords
Journal Title investigative ophthalmology & visual science
Publication Year Start




PMID- 28744552
OWN - NLM
STAT- MEDLINE
DA  - 20170726
DCOM- 20170811
LR  - 20170811
IS  - 1552-5783 (Electronic)
IS  - 0146-0404 (Linking)
VI  - 58
IP  - 9
DP  - 2017 Jul 01
TI  - Macular Vascular Fractal Dimension in the Deep Capillary Layer as an Early
      Indicator of Microvascular Loss for Retinopathy in Type 2 Diabetic Patients.
PG  - 3785-3794
LID - 10.1167/iovs.17-21461 [doi]
AB  - Purpose: To determine the ability of fractal dimension to detect early changes in
      the retinal microvascular network imaged by optical coherence tomography
      angiography (OCT-A) in type 2 diabetic patients. Methods: Sixty-seven patients
      with type 2 diabetic mellitus (DM) (48 with no diabetic retinopathy [DR], 19 with
      minimal DR) and 40 control subjects. Macular OCT-A images of the superficial and 
      deep retinal capillary layers in a 2.5-mm diameter concentric annular zone
      (excluding the foveal avascular zone) were subdivided into six annular rings and 
      four quadrants. A custom automated algorithm was developed to quantify the
      complexity and density of the two retinal capillary layers by fractal analysis.
      Results: Compared to controls, the fractal dimensional parameter (Dbox) of the
      two retinal capillary layers in most regions was significantly lower in diabetic 
      patients with minimal DR (P < 0.05). The Dbox of the diabetic patients with no DR
      was also decreased in most regions of the deep retinal capillary layer (P <
      0.05), but not in the superficial retinal capillary layer (P > 0.05). Based on
      the receiver operating characteristic curve analysis, the Dbox values for the
      deep retinal capillary layer had the highest index to discriminate diabetic
      patients with and without minimal DR from controls. Conclusions: Fractal
      dimension based on OCT-A has the potential to quantitatively characterize retinal
      microvascular changes in the early stage of DM. Changes in the fractal dimension 
      in the deep retinal capillary layer could be an early indicator of
      microvasculature changes associated with retinopathy in type 2 diabetic patients.
FAU - Chen, Qi
AU  - Chen Q
AD  - School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou,
      Zhejiang, China.
FAU - Ma, Qingkai
AU  - Ma Q
AD  - School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou,
      Zhejiang, China.
FAU - Wu, Chaoming
AU  - Wu C
AD  - The Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical
      University, Wenzhou, Zhejiang, China.
FAU - Tan, Fan
AU  - Tan F
AD  - School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou,
      Zhejiang, China.
FAU - Chen, Feng
AU  - Chen F
AD  - School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou,
      Zhejiang, China.
FAU - Wu, Qiuyan
AU  - Wu Q
AD  - School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou,
      Zhejiang, China.
FAU - Zhou, Rong
AU  - Zhou R
AD  - School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou,
      Zhejiang, China.
FAU - Zhuang, Xiran
AU  - Zhuang X
AD  - School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou,
      Zhejiang, China.
FAU - Lu, Fan
AU  - Lu F
AD  - School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou,
      Zhejiang, China.
FAU - Qu, Jia
AU  - Qu J
AD  - School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou,
      Zhejiang, China.
FAU - Shen, Meixiao
AU  - Shen M
AD  - School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou,
      Zhejiang, China.
LA  - eng
PT  - Journal Article
PL  - United States
TA  - Invest Ophthalmol Vis Sci
JT  - Investigative ophthalmology & visual science
JID - 7703701
RN  - 0 (Blood Glucose)
RN  - 0 (Hemoglobin A, Glycosylated)
RN  - 0 (hemoglobin A1c protein, human)
SB  - IM
MH  - Algorithms
MH  - Blood Glucose/metabolism
MH  - Body Mass Index
MH  - Capillaries/*pathology
MH  - Computed Tomography Angiography
MH  - Diabetes Mellitus, Type 2/*diagnosis/physiopathology
MH  - Diabetic Retinopathy/*diagnosis/physiopathology
MH  - Female
MH  - *Fractals
MH  - Hemoglobin A, Glycosylated/metabolism
MH  - Humans
MH  - Male
MH  - Middle Aged
MH  - Ophthalmoscopy
MH  - ROC Curve
MH  - Retinal Vessels/*pathology
MH  - Retrospective Studies
MH  - Tomography, Optical Coherence
MH  - Visual Acuity/physiology
EDAT- 2017/07/27 06:00
MHDA- 2017/08/12 06:00
CRDT- 2017/07/27 06:00
AID - 2646457 [pii]
AID - 10.1167/iovs.17-21461 [doi]
PST - ppublish
SO  - Invest Ophthalmol Vis Sci. 2017 Jul 1;58(9):3785-3794. doi:
      10.1167/iovs.17-21461.