Drira Ines, Noor Maha, Stone Amy, D'Souza Yvonne, John Binu, McGrath Orlaith, Patel Praveen J, Aslam Tariq
Manchester University, Manchester Royal Eye Hospital, Oxford Rd, Manchester, M13 9WL, UK.
Hospital of Toulouse, Pl. du Dr Joseph Baylac, 31300, Toulouse, France.
Ophthalmol Ther. 2024 Mar;13(3):831-849. doi: 10.1007/s40123-024-00886-2. Epub 2024 Jan 25.
There is a high and ever-increasing global prevalence of diabetic retinopathy (DR) and invasive imaging techniques are often required to confirm the presence of proliferative disease. The aim of this study was to explore the images of a rapid and non-invasive technique, widefield optical coherence tomography angiography (OCT-A), to study differences between patients with severe non-proliferative and proliferative DR (PDR).
We conducted an observational longitudinal study from November 2022 to March 2023. We recruited 75 patients who were classified into a proliferative group (28 patients) and severe non-proliferative group (47 patients). Classification was done by specialist clinicians who had full access to any multimodal imaging they required to be confident of their diagnosis, including fluorescein angiography. For all patients, we performed single-shot 4 × 4 and 10 × 10 mm (widefield) OCT-A imaging and when possible, the multiple images required for mosaic 17.5 × 17.5 mm (ultra widefield) OCT-A imaging. We assessed the frequency with which proliferative disease was identifiable solely from these OCT-A images and used custom-built MATLAB software to analyze the images and determine computerized metrics such as density and intensity of vessels, foveal avascular zone, and ischemic areas.
On clinically assessing the OCT-A 10 × 10 fields, we were only able to detect new vessels in 25% of known proliferative images. Using ultra-widefield mosaic images, however, we were able to detect new vessels in 100% of PDR patients. The image analysis metrics of 4 × 4 and 10 × 10 mm images did not show any significant differences between the two clinical groups. For mosaics, however, there were significant differences in the capillary density in patients with PDR compared to severe non-PDR (9.1% ± 1.9 in the PDR group versus 11.0% ± 1.9 for severe group). We also found with mosaics a significant difference in the metrics of ischemic areas; average area of ischemic zones (253,930.1 ± 108,636 for the proliferative group versus 149,104.2 ± 55,101.8 for the severe group.
Our study showed a high sensitivity for detecting PDR using only ultra-widefield mosaic OCT-A imaging, compared to multimodal including fluorescein angiography imaging. It also suggests that image analysis of aspects such as ischemia levels may be useful in identifying higher risk groups as a warning sign for future conversion to neovascularization.
糖尿病视网膜病变(DR)在全球的患病率很高且呈不断上升趋势,通常需要采用侵入性成像技术来确诊增殖性疾病。本研究的目的是探索一种快速、非侵入性技术——超广角光学相干断层扫描血管造影(OCT-A)的图像,以研究重度非增殖性DR和增殖性DR(PDR)患者之间的差异。
我们在2022年11月至2023年3月进行了一项观察性纵向研究。我们招募了75名患者,分为增殖性组(28例患者)和重度非增殖性组(47例患者)。分类由专科临床医生进行,他们可以充分利用所需的任何多模态成像来确保诊断的准确性,包括荧光素血管造影。对于所有患者,我们进行了单次4×4和10×10毫米(超广角)OCT-A成像,并在可能的情况下进行了17.5×17.5毫米(超超广角)OCT-A成像所需的多幅图像拼接。我们评估了仅从这些OCT-A图像中识别增殖性疾病的频率,并使用定制的MATLAB软件分析图像,确定诸如血管密度和强度、黄斑无血管区和缺血区域等计算机化指标。
在对OCT-A的10×10视野进行临床评估时,我们仅在25%的已知增殖性图像中检测到新生血管。然而,使用超超广角拼接图像时,我们在100%的PDR患者中检测到了新生血管。4×4和10×10毫米图像的图像分析指标在两个临床组之间未显示出任何显著差异。然而,对于拼接图像,PDR患者与重度非PDR患者相比,毛细血管密度存在显著差异(PDR组为9.1%±1.9,重度组为11.0%±1.9)。我们还发现拼接图像在缺血区域指标上存在显著差异;增殖性组缺血区平均面积为253930.1±108636,重度组为149104.2±55101.8。
我们的研究表明,与包括荧光素血管造影成像在内的多模态成像相比,仅使用超超广角拼接OCT-A成像检测PDR具有较高的敏感性。这也表明,对缺血水平等方面进行图像分析可能有助于识别高危人群,作为未来向新生血管化转变的警示信号。