Sanjana Chouhan S, Neelamegam Vidya, Raghu Keerthana, Surya R Janani, Janarthanam Jothi Balaji, Rao Chetan, Mohapatra Ayushi, Raman Rajiv
Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, India.
Biostatistics, National Institute of Epidemiology, Chennai, India.
Ophthalmic Epidemiol. 2025 Feb;32(1):95-102. doi: 10.1080/09286586.2024.2338824. Epub 2024 May 6.
This study was aimed to evaluate the agreement between the swept-source optical coherence tomography (SS-OCT)-based biometry, fundus photographs, and their combination, in comparison to the gold standard spectral-domain optical coherence tomography (SD-OCT) for the detection of center-involving diabetic macular edema (CI-DME).
We conducted a retrospective cross-sectional study involving 55 subjects (78 eyes) diagnosed with diabetic macular edema (DME) detected clinically and on SD-OCT (Carl Zeiss Meditec AG). Post-mydriatic 45-degree color fundus photograph (Crystal-Vue NFC-700), 1 mm macular scan obtained from SS-OCT-based biometry (IOL-Master 700), and macula cube scan obtained from SD-OCT was used to detect and grade DME into CI-DME and NCI-DME.
Our findings revealed that SS-OCT-based biometry was noted to have a high sensitivity of 1 (0.94-1.00) and a specificity of 0.63 (0.31-0.89) in detecting CI-DME compared to the gold standard (SD-OCT). When combined with data from fundus photographs, specificity decreased to 0.32 (0.15-0.53). Fundus photographs alone exhibited a low sensitivity of 0.52 (0.38-0.64) and a specificity of 0.45 (0.16-0.76) in CI-DME detection.
In conclusion, SS-OCT-based biometry can be used as an effective tool for the detection of CI-DME in diabetic patients undergoing cataract surgery and can serve as a screening tool in centers without SD-OCT facilities.
本研究旨在评估基于扫频光学相干断层扫描（SS-OCT）的生物测量、眼底照片及其组合与检测累及黄斑中心的糖尿病性黄斑水肿（CI-DME）的金标准光谱域光学相干断层扫描（SD-OCT）之间的一致性。
我们进行了一项回顾性横断面研究，纳入了55名临床诊断为糖尿病性黄斑水肿（DME）且经SD-OCT（卡尔蔡司医疗技术股份公司）确诊的受试者（78只眼）。使用散瞳后45度彩色眼底照片（Crystal-Vue NFC-700）、基于SS-OCT生物测量获得的1毫米黄斑扫描（IOL-Master 700）以及从SD-OCT获得的黄斑立方扫描来检测DME并将其分为CI-DME和非CI-DME。
我们的研究结果显示，与金标准（SD-OCT）相比，基于SS-OCT的生物测量在检测CI-DME方面具有较高的敏感性，为1（0.94 - 1.00），特异性为0.63（0.31 - 0.89）。当与眼底照片数据相结合时，特异性降至0.32（0.15 - 0.53）。单独的眼底照片在CI-DME检测中的敏感性较低，为0.52（0.38 - 0.64），特异性为0.45（0.16 - 0.76）。
总之，基于SS-OCT的生物测量可作为白内障手术糖尿病患者检测CI-DME的有效工具，并且可作为没有SD-OCT设备的中心的筛查工具。
