| Literature DB >> 35800226 |
Liu Yihao1, Li Shuo1, Xi Pu1, Wang Zipeng1, Sun Hanlin1, Chang Qungang1, Wang Yongfei1, Yin Detao1,2,3.
Abstract
Introduction: Papillary thyroid cancer (PTC) is one of the most prevalent endocrine malignancies that has increased in recent decades around the world. Although the indicator for navigating the surgical extent in PTC patients is still in debate, a key issue is how to predict that there are undetected preoperative tumors in the contralateral thyroid lobe. This study aims to find risk factors for contralateral occult papillary thyroid cancer (COPTC) to facilitate more accurate surgical decisions made for patients with PTC. Materials andEntities:
Year: 2022 PMID: 35800226 PMCID: PMC9256461 DOI: 10.1155/2022/5112985
Source DB: PubMed Journal: Int J Endocrinol ISSN: 1687-8337 Impact factor: 2.803
Figure 1Flowchart illustrating the selection of the samples.
Distribution of clinical and pathological characteristics in 229 patients.
| Variables | Group | Statistical values | |||
|---|---|---|---|---|---|
| Case (N = 46) | Control (N = 183) | F | Chi-square | P | |
| Age, years, mean ± SD | 39.20 ± 11.65 | 39.06 ± 11.80 | 0.67 | 0.944 | |
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| Gender, % | 0.00 | 0.983 | |||
| Female | 32 (69.6) | 127 (69.4) | |||
| Male | 14 (30.4) | 56 (30.6) | |||
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| BMI, mean ± SD | 24.00 ± 3.34 | 24.34 ± 3.94 | 1.47 | 0.592 | |
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| Multifocality, % | 5.59 | <0.05 | |||
| Presence | 24 (52.2) | 61 (33.3) | |||
| Absence | 22 (47.8) | 122 (66.7) | |||
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| Location, % | 0.28 | 0.597 | |||
| Upper | 12 (26.1) | 55 (30.1) | |||
| Otherwise | 34 (73.9) | 128 (69.9) | |||
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| Diameter, % | 0.32 | 0.574 | |||
| <1 cm | 18 (39.1) | 80 (43.7) | |||
| ≥1 cm | 28 (60.9) | 103 (56.3) | |||
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| Diameter of COPTC % | |||||
| <3 mm | 36 (78.3) | — | |||
| ≥3 mm | 10 (32.7) | — | |||
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| Capsule, % | 5.64 | <0.05 | |||
| Intact | 20 (43.5) | 47 (25.7) | |||
| Invasion | 26 (56.5) | 136 (74.3) | |||
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| Trachea invasion, % | 0.14 | 0.706 | |||
| Presence | 3 (6.5) | 15 (8.2) | |||
| Absence | 43 (93.5) | 168 (91.8) | |||
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| Strap muscle invasion, % | 0.10 | 0.753 | |||
| Presence | 5 (10.9) | 23 (12.6) | |||
| Absence | 41 (89.1) | 163 (87.4) | |||
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| CNM, % | 4.63 | <0.05 | |||
| Presence | 39 (84.8) | 126 (68.9) | |||
| Absence | 7 (15.2) | 57 (31.1) | |||
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| LNM, % | 1.24 | 0.265 | |||
| Presence | 32 (69.6) | 111 (60.7) | |||
| Absence | 14 (30.4) | 72 (39.3) | |||
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| B-RAF mutation, % | 0.13 | 0.716 | |||
| Presence | 35 (76.1) | 143 (78.6) | |||
| Absence | 11 (23.9) | 39 (21.4) | |||
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| Serum Tg | 2.38 | 0.304 | |||
| ≤5 | 4 (10.3) | 32 (20.4) | |||
| 5∼40 | 20 (51.2) | 77 (49.0) | |||
| >40 | 15 (38.4) | 48 (30.6) | |||
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| HT, % | 4.52 | <0.05 | |||
| Presence | 20 (43.5) | 50 (27.3) | |||
| Absence | 26 (56.5) | 133 (72.7) | |||
Thirty-three patients did not have a preoperative serum thyroglobulin test.
Univariate and multivariate analyses of predicting factors of COPTC.
| Variables | Crude OR (95% CI) | P | Adjusted OR (95% CI) | B | Wald | P |
|---|---|---|---|---|---|---|
| Multifocality | ||||||
| Absence | 1 | 1 | ||||
| Presence | 2.18 (1.13–4.20) | 0.02 | 2.21 (1.11–4.40) | 0.79 | 5.06 | 0.03 |
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| Diameter | ||||||
| < 1 cm | 1 | |||||
| ≥ 1 cm | 1.21 (0.62–2.34) | 0.57 | ||||
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| Capsular | ||||||
| Invasion | 1 | 1 | ||||
| Intact | 2.23 (1.14–4.35) | 0.02 | 2.54 (1.24–5.19) | 0.93 | 6.61 | 0.01 |
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| CNM | ||||||
| Absence | 1 | 1 | ||||
| Presence | 2.52 (1.06–5.98) | 0.04 | 3.00 (1.21–7.49) | 1.10 | 5.57 | 0.02 |
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| LNM | ||||||
| Absence | 1 | 0.27 | ||||
| Presence | 1.48 (0.74–2.97) | |||||
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| HT | ||||||
| Absence | 1 | 1 | ||||
| Presence | 2.05 (1.05–3.99) | 0.04 | 2.08 (1.02–4.23) | 0.73 | 4.09 | 0.04 |
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| B-RAF | ||||||
| Negative | 1 | 0.72 | ||||
| Positive | 0.87 (0.40–1.86) | |||||
Figure 2Forest plot of the significant factors in multivariate logistic regression of predicting contralateral occult papillary thyroid cancer.
Figure 3Receiver operating characteristic (ROC) curve to evaluate the combination prediction power of contralateral occult papillary thyroid cancer.
Univariate and multivariate analyses between the diameter of the occult lesions and predictors.
| Variables | Crude OR (95% CI) | P | Adjusted OR (95% CI) | P |
|---|---|---|---|---|
| Multifocality | ||||
| Absence | 1 | 1 | ||
| Presence | 1.50 (0.36–6.23) | 0.58 | 1.46 (0.30–6.96) | 0.64 |
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| Capsular | ||||
| Invasion | 1 | 1 | ||
| Intact | 2.09 (0.47–9.38) | 0.34 | 2.19 (0.43–11.04) | 0.34 |
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| CNM | ||||
| Absence | 1 | 1 | ||
| Presence | 0.65 (0.11–3.96) | 0.64 | 0.33 (0.04–2.70) | 0.30 |
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| HT | ||||
| Absence | 1 | 1 | ||
| Presence | 0.48 (0.11–2.15) | 0.34 | 0.38 (0.07–1.99) | 0.25 |