| Literature DB >> 35337290 |
Xin Liu1,2, Chunyu Liu1, Hui Lin1, Yuting Shao1, Li Zhang3, Yanlong Bi4,5.
Abstract
BACKGROUND: To evaluate the surface quality and thickness uniformity of lamellar donor grafts using an optional surgical technique called reversed manual dissection (RMD) in porcine corneas.Entities:
Keywords: Conventional manual dissection; Keratoplasty; Lamellar donor tissue; Reversed manual dissection; Surface quality; Thickness uniformity
Mesh:
Year: 2022 PMID: 35337290 PMCID: PMC8957127 DOI: 10.1186/s12886-022-02371-5
Source DB: PubMed Journal: BMC Ophthalmol ISSN: 1471-2415 Impact factor: 2.209
Grouping and graft information
| Group | N | Dissection method | Punch diameter (mm) | Average predissected CCT (μm) | Target cutting depth setting(%) | Average residual stromal thickness (μm) | Average actual cutting depth (μm) | Average actual donor graft thickness (%) |
|---|---|---|---|---|---|---|---|---|
| I | 8 | CMD | 8.25 | 1096.17 | 30 | 787.59 | 308.58 | 27.96 |
| II | 8 | CMD | 8.25 | 1087.87 | 50 | 521.96 | 521.96 | 47.98 |
| III | 8 | CMD | 8.25 | 1101.68 | 70 | 353.60 | 748.08 | 67.90 |
| IV | 8 | RMD | 8.25 | 1103.42 | 70 | 323.49 | 779.93 | 29.36 |
| V | 8 | RMD | 8.25 | 1089.57 | 50 | 554.44 | 535.14 | 49.12 |
| VI | 8 | RMD | 8.25 | 1061.66 | 30 | 729.04 | 332.62 | 68.63 |
CCT Average central 5 mm corneal thickness measured by AS-OCT
Fig. 1Schematic diagram of the conventional manual dissection and the reversed manual dissection
Criteria for evaluating surface characteristics
| Criterion and Magnification | Appearance | Scores | |
|---|---|---|---|
| A | Surface relief ×100 | Very smooth | 4 |
| Smooth | 3 | ||
| Rough | 2 | ||
| Very rough | 1 | ||
| B | Regularity of surface structure ×300 | Completely regular | 4 |
| Almost Regular | 3 | ||
| Partially regular | 2 | ||
| Not regular | 1 | ||
| C | Portion of surface irregular ×300 | < 10% of cut surface | 4 |
| 11–25% of cut surface | 3 | ||
| 26–50% of cut surface | 2 | ||
| > 50% of cut surface | 1 | ||
| D | Position of the irregular area ×300 | No irregularities | 4 |
| Peripheral only | 3 | ||
| Large region | 2 | ||
| All over | 1 |
Fig. 2Representative pachymetric images measured by ASOCT. A Predissected image of 30% of the corneal thickness. B Postdissected image of 30% of the corneal thickness using CMD. C Predissected image of 50% of the corneal thickness. D Postdissected image of 50% of the corneal thickness using CMD. E Predissected image of 70% of the corneal thickness. F Postdissected image of 70% of the corneal thickness using CMD. G Predissected image of 70% of the corneal thickness. H Postdissected image of 70% of the corneal thickness using RMD. I Predissected image of 50% of the corneal thickness. J Postdissected image of 50% of the corneal thickness using RMD. K Predissected image of 30% of the corneal thickness. L Postdissected image of 30% of the corneal thickness using RMD
Fig. 3Representative SEM images of different dissecting depths through CMD and RMD. A 30% dissected graft using CMD at × 100 magnifications. CMD group showed more cutting scratchs (asterisk). B 30% dissected graft using CMD at × 300 magnifications. C 50% dissected graft using CMD at × 100 magnifications. D 50% dissected graft using CMD at × 300 magnifications. E 70% dissected graft using CMD at × 100 magnifications. F 70% dissected graft using CMD at × 300 magnifications. G 70% dissected graft using RMD at × 100 magnifications. H 70% dissected graft using RMD at × 300 magnifications. I 50% dissected graft using RMD at × 100 magnifications. There were long and deep grooves (arrow) caused by the ethanol-dependent dehydration process necessary for SEM. J 50% dissected graft using RMD at × 300 magnifications. K 30% dissected graft using RMD at × 100 magnifications. L 30% dissected graft using RMD at × 300 magnifications
Score results of the surface quality evaluated by SEM
| Group | N | Qualitative surface roughness grading (QlSR) | Quantitative surface roughness grading | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Surface Relief | Regularity of Surface | Portion of Surface Irregular | Position of the irregular area | Scores | SD | Scores | SD | ||
| I | 8 | 2.58 | 2.08 | 2.17 | 2.42 | 9.25 | 1.94 | 24.32 | 3.99 |
| II | 8 | 2.33 | 1.96 | 1.79 | 1.96 | 8.04 | 1.07 | 33.62 | 6.83 |
| III | 8 | 2.12 | 1.92 | 1.58 | 2.17 | 7.79 | 1.69 | 37.84 | 5.33 |
| IV | 8 | 3.46 | 2.88 | 3.00 | 2.79 | 12.13 | 2.73 | 10.37 | 1.61 |
| V | 8 | 3.37 | 2.83 | 3.00 | 2.76 | 11.97 | 1.94 | 13.98 | 1.58 |
| VI | 8 | 3.17 | 2.92 | 2.75 | 2.71 | 11.54 | 0.64 | 14.20 | 1.60 |
Fig. 4Comparison of the two methods used to evaluate the surface quality. Qualitative surface roughness grading (QiSR) was performed by masked observers and quantitative surface roughness grading (QnSR) was performed using the Mountains software (MountainsSEM v.9; Digital Surf, Besançon, France). There was a correlation of these two methods with Spearman’s rank correlation coefficient (Rs = − 0.835)