| Literature DB >> 29876836 |
Y Luo1, Y Zhao2, K Chen2, J Shen3, J Shi4, S Lu5, J Lei6, Z Li1, D Luo7.
Abstract
PURPOSE: Lymph node metastasis (LNM) is a vital prognosis factor in patients with papillary thyroid microcarcinoma (PTMC). The study tried to identify clinicopathological factors for LNM of PTMC.Entities:
Keywords: Lymph node metastasis; Neck dissection; Papillary thyroid microcarcinoma; Risk factors
Mesh:
Year: 2018 PMID: 29876836 PMCID: PMC6394766 DOI: 10.1007/s40618-018-0908-y
Source DB: PubMed Journal: J Endocrinol Invest ISSN: 0391-4097 Impact factor: 4.256
Number of neck lymph nodes
| Neck lymph nodes | Metastasis | |
|---|---|---|
| Negative | Positive | |
| LNM | 664 (64.4%) | 367 (35.6%) |
| CLNM | 684 (66.3%) | 347 (33.7%) |
| LLNM | 973 (94.4%) | 58 (5.6%) |
| CLNM and LLNM | 993 (96.4%) | 38 (3.7%) |
| LLNM only | 1011 (98.1%) | 20 (1.9%) |
Univariate and multivariate analyses of LNM, including CLNM and LLNM, and clinicopathological characteristics of PTMC
| Risk factors | LNM | Univariate analysis | Multivariate analysis | CLNM | Univariate analysis | Multivariate analysis | LLNM | Univariate analysis | Multivariate analysis | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
| OR (95% CI) |
|
| OR (95% CI) |
|
| OR (95% CI) |
| ||||
| Age, | < 0.001 | < 0.001 | 0.384 | |||||||||
| ≤ 30 | 45 (49.5%) | 2.103 (1.268–3.487) | 0.004 | 42(46.20%) | 1.969 (1.188–3.263) | 0.009 | 7 (7.70%) | |||||
| 30–40 | 100 (43.10%) | 1.916 (1.328–2.763) | 0.001 | 96 (41.40%) | 1.888 (1.307–2.726) | 0.001 | 16 (6.90%) | |||||
| 40–50 | 109 (31.60%) | 1.088 (0.775–1.525) | 0.627 | 103 (29.90%) | 1.067 (0.759–1.500) | 0.709 | 14 (4.10%) | |||||
| > 50 | 113 (31.10%) | 1 | 106 (29.20%) | 1 | 21 (5.80%) | |||||||
| Gender, | < 0.001 | < 0.001 | < 0.001 | < 0.001 | 0.111 | |||||||
| Female | 276 (32.70%) | 1 | 260 (30.80%) | 1 | 43 (5.10%) | |||||||
| Male | 91 (48.90%) | 1.954 (1.387–2.752) | 87 (46.80%) | 1.961 (1.392–2.762) | 15 (8.10%) | |||||||
| Size, | < 0.001 | < 0.001 | <0.001 | |||||||||
| ≤ 2 mm | 18 (19.10%) | 1 | 16 (17.00%) | 1 | 2 (2.10%) | 1 | ||||||
| 2–5 mm | 138 (29.40%) | 1.459 (0.831–2.56) | 0.188 | 132 (28.10%) | 1.586 (0.883–2.850) | 0.123 | 14 (3.00%) | 1.266 (0.281–5.710) | 0.759 | |||
| 5–7 mm | 83 (35.80%) | 1.721 (0.945–3.131) | 0.076 | 79 (34.10%) | 1.917 (1.032–3.561) | 0.039 | 14 (6.00%) | 2.242 (0.494–10.185) | 0.296 | |||
| 7–10 mm | 128 (54.50%) | 3.964 (2.188–7.181) | < 0.001 | 120 (51.10%) | 4.236 (2.299–7.803) | < 0.001 | 28 (11.90%) | 4.036 (0.920–17.705) | 0.064 | |||
| Capsular invasion, | 0.016 | 0.021 | < 0.001 | |||||||||
| Negative | 312 (34.30%) | 297 (32.60%) | 42 (4.60%) | |||||||||
| Positive | 55 (45.50%) | 50 (41.30%) | 16 (13.20%) | |||||||||
| T staging, | 0.003 | 0.029 | <0.001 | |||||||||
| T1 | 331 (34.30%) | 1 | 315 (32.60%) | 44 (4.60%) | 1 | |||||||
| T3 | 33 (55.90%) | 1.924 (1.086–3.408) | 0.025 | 29 (49.20%) | 12 (20.30%) | 3.575 (1.692–7.552) | 0.001 | |||||
| T4 | 3 (42.90%) | 1.253 (0.26–6.035) | 0.779 | 3 (42.90%) | 2 (28.60%) | 4.208 (0.702–25.223) | 0.116 | |||||
| Multifocality, | < 0.001 | < 0.001 | < 0.001 | < 0.001 | 0.092 | |||||||
| Negative | 261 (32.50%) | 1 | 243 (30.30%) | 1 | 40 (5.00%) | |||||||
| Positive | 106 (46.50%) | 1.858 (1.348–2.56) | 104 (45.60%) | 1.976 (1.434–2.724) | 18 (7.90%) | |||||||
| Bilateral, | 0.007 | 0.002 | 0.172 | |||||||||
| Negative | 299 (33.90%) | 280 (31.80%) | 46 (5.20%) | |||||||||
| Positive | 68 (45.30%) | 67 (44.70%) | 12 (8.00%) | |||||||||
| Ultrasound intensity, | 0.385 | 0.417 | < 0.001 | |||||||||
| Hypo-echo | 338 (35.30%) | 320 (33.40%) | 47 (4.90%) | 1 | ||||||||
| Moderate-echo | 7 (30.40%) | 6 (26.10%) | 1 (4.30%) | 0.842 (0.105–6.771) | 0.871 | |||||||
| Iso-echo | 6 (37.50%) | 6 (37.50%) | 2 (12.50%) | 3.387 (0.724–15.846) | 0.121 | |||||||
| High-echo | 1 (20.00%) | 1 (20.00%) | 0 (0.00%) | – | – | |||||||
| Mix-echo | 15 (51.70%) | 14 (48.30%) | 8 (27.60%) | 4.729 (1.859–12.033) | 0.001 | |||||||
| Composition, n(%) | 0.301 | 0.112 | 0.546 | |||||||||
| Solid | 365 (35.70%) | 346 (33.90%) | 57 (5.60%) | |||||||||
| Solid–cystic | 2 (20.00%) | 1 (10.00%) | 1 (10.00%) | |||||||||
| Echo distribution, n(%) | 0.004 | 0.003 | 0.038 | 0.905 | ||||||||
| Uniform | 108 (29.80%) | 101 (27.80%) | 1 | 20 (5.50%) | ||||||||
| Non-uniform | 259 (38.80%) | 246 (36.80%) | 1.367 (1.018–1.835) | 38 (5.70%) | ||||||||
| Border, | 0.062 | 0.116 | 0.077 | |||||||||
| Regular | 101 (31.50%) | 97 (30.20%) | 12 (3.70%) | |||||||||
| Irregular | 266 (37.50%) | 250 (35.20%) | 46 (6.50%) | |||||||||
| Shape, | 0.232 | 0.37 | 0.045 | |||||||||
| Regular | 125 (33.20%) | 120 (31.90%) | 14 (3.70%) | |||||||||
| Irregular | 242 (36.90%) | 227 (34.70%) | 44 (6.70%) | |||||||||
| Calcification, | 0.016 | 0.016 | 0.075 | |||||||||
| Negative | 201 (32.20%) | 189 (30.30%) | 28 (4.50%) | |||||||||
| Fine | 71 (39.20%) | 68 (37.60%) | 16 (8.80%) | |||||||||
| Thick | 95 (42.04%) | 90 (39.80%) | 14 (6.20%) | |||||||||
| Aspect ratio, | 0.19 | 0.17 | 0.548 | |||||||||
| Proportioned | 204 (33.90%) | 192 (31.90%) | 36 (6.00%) | |||||||||
| Disproportionality | 163 (37.90%) | 155 (36.00%) | 22 (5.10%) | |||||||||
| Blood flow, | 0.014 | 0.03 | 0.002 | |||||||||
| Negative | 192 (32.40%) | 183 (30.90%) | 22 (3.70%) | |||||||||
| Positive | 175 (39.90%) | 164 (37.40%) | 36 (8.20%) | |||||||||
The risk of location in the solitary primary tumor for CLNM and LLNM
| Location | CLNM | Metastasis rate (%) |
|
| Location | LLNM | Metastasis rate (%) |
|
| ||
|---|---|---|---|---|---|---|---|---|---|---|---|
| No | Yes | No | Yes | ||||||||
| Upper | 204 | 69 | 25.30 | 11.153 | 0.011 | Upper | 251 | 22 | 8.10 | 10.774 | 0.013 |
| Middle | 207 | 86 | 29.40 | Middle | 286 | 7 | 2.40 | ||||
| Lower | 111 | 73 | 39.70 | Lower | 174 | 10 | 5.40 | ||||
| Isthmus | 38 | 15 | 28.30 | Isthmus | 52 | 1 | 1.90 | ||||
Fig. 1Outcomes of receiver-operating characteristic (ROC) curve analyses. a ROC curve analysis for the sum of the maximum diameter of multifocal in a unilateral lobe of CLNM: An index point ≥ 8.5 mm of the sum of the maximum diameter of multifocal was found to be the optimal point to distinguish between PTMC with and without CLNM. The sensitivity and specificity were 64.4 and 59.3%, respectively, with an AUC of 0.644. b ROC curve analysis for the sum of the maximum diameter of multifocal in a unilateral lobe of LLNM: An index point ≥ 10.75 mm of the sum of the maximum diameter of multifocal was found to be the optimal point to distinguish between PTMC with and without LLNM. The sensitivity and specificity were 58.3 and 74.2%, respectively, with an AUC of 0.687
The sum of the maximum diameters of all multifocal tumors
| Sum of maximum diameters (mm) | CLNM | Metastasis rate (%) |
|
| LLNM | Metastasis rate (%) |
|
| ||
|---|---|---|---|---|---|---|---|---|---|---|
| No | Yes | No | Yes | |||||||
| ≤ 8 | 48 | 21 | 30.40 | 9.011 | 0.011 | 66 | 3 | 4.30 | 6.229 | 0.044 |
| 8–11 | 21 | 19 | 47.50 | 37 | 3 | 7.50 | ||||
| > 11 | 12 | 19 | 61.30 | 25 | 6 | 19.40 | ||||