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Fig. 2 | Journal of Translational Medicine

Fig. 2

From: Machine learning and optical coherence tomography-derived radiomics analysis to predict persistent diabetic macular edema in patients undergoing anti-VEGF intravitreal therapy

Fig. 2

Images and ROI segmentation schematics of representative NPDME and PDME cases. (a) Representative NPDME case: 48-year-old woman with left eye involvement, initial CST of 842 μm, and baseline BCVA of counting fingers. After the receipt of three anti-VEGF treatments over 71 days, the CST substantially decreased to 141 μm and BCVA improved to 20/200. (b) Representative PDME case: 57-year-old man with right eye involvement, initial CST of 347 μm, and baseline BCVA of 20/40 (comparatively better than representative NPDME case). However, after the receipt of three anti-VEGF treatments over 90 days, the CST substantially increased to 639 μm and the BCVA decreased to 20/80. (c, d). Schematics illustrating the ROI segmentation procedure based on initial pretreatment OCT images for the two cases described above (a and b); the ROI comprises the region from the inner limiting membrane to the external limiting membrane

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