Assessing the role of central lymph node ratio in predicting recurrence in N1a low-to-intermediate risk papillary thyroid carcinoma.

Introduction: Lymph node metastasis in patients with papillary thyroid carcinoma (PTC) is associated with postoperative recurrence. Recently, most studies have focused on the evaluation of recurrence in patients with late-stage PTC, with limited data on those with early-stage PTC. We aimed to assess the relationship between lymph node ratio (LNR) and recurrence in low-to-intermediate-risk patients and validate its diagnostic efficiency in both structural (STR) and biochemical recurrence (BIR). Methods: Clinical data of patients with PTC diagnosed at the Affiliated Hospital of Jining Medical University were retrospectively collected. The optimal LNR cut-off values for disease-free survival (DFS) were determined using X-tile software. Predictors were validated using univariate and multivariate Cox regression analyses. Results: LNR had a higher diagnostic effectiveness than metastatic lymph nodes in patients with low-to-intermediate recurrence risk N1a PTC. The optimal LNR cutoff values for STR and BIR were 0.75 and 0.80, respectively. Multivariate Cox regression analysis showed that LNR≥0.75 and LNR≥0.80 were independent factors for STR and BIR, respectively. The 5-year DFS was 90.5% in the high LNR (≥0.75) and 96.8% in low LNR (<0.75) groups for STR. Regarding BIR, the 5-year DFS was 75.7% in the high LNR (≥0.80) and 86.9% in low LNR (<0.80) groups. The high and low LNR survival curves exhibited significant differences on the log-rank test. Conclusion: LNR was associated with recurrence in patients with low-to-intermediate recurrence risk N1a PTC. We recommend those with LNR≥0.75 require a comprehensive evaluation of lateral neck lymphadenopathy and consideration for lateral neck dissection and RAI treatment.

[A new method for predicting anterior chamber depth in intraocular lens implantation].

OBJECTIVE: To propose a method for predicting the postoperative anterior chamber depth value (ACD) based on the evaluation standard of contrast sensitivity function (CSF). METHODS: In a personalized eye model, the natural lens was replaced with an artificial lens, and the tracing method based on ZEMAX software was utilized to simulate the pseudophakic optical system. The best MTF curve was obtained through optical optimization to calculate the CSF and determine the best contrast sensitivity (CS) curve. The best ACD value was acquired according to the CSF curve. The data form 10 cataract cases without retinal diseases were obtained and the postoperative ACD value was predicted using Holladay, Hoffer Q, SRK/T and the proposed method. RESULTS: Consistency analysis of the results showed that all the ACD values predicated by the 4 methods fell in 95% consistency within the boundaries, and the differences in the largest absolute value between the 3 methods (Holladay, Hoffer Q, and SRK/T) and the proposed method were 0.73 mm, 0.65 mm, and 0.68 mm, and the calculation results of the mean value were 5.846 mm, 5.804 mm, and 5.825 mm. Clinically, the two methods were deemed to have good consistency. CONCLUSION: The proposed method establishes a connection between the contrast sensitivity curve and ACD to allow better refraction adjustment for the patients.