| Literature DB >> 33607825 |
Pingping Lin1,2,3, Sainan Zhu4, Guohong Zhang5, Yuanshen Huang6, Ping Tu1,2,3, Shuxia Yang1,2,3, Hang Li1,2,3.
Abstract
ABSTRACT: Cutaneous squamous cell carcinoma usually extends beyond the visible margin. Little is known about the predictors for cutaneous squamous cell carcinoma with subclinical extension in Chinese individuals. This study aimed to construct a nomogram for predicting the probability of subclinical extension of cutaneous squamous cell carcinoma in Chinese patients.A retrospective analysis was conducted using data from Mohs micrographic surgery-treated cutaneous squamous cell carcinoma patients at a single institution between December 1, 2009 and October 31, 2019. Subclinical extension was defined as a lesion requiring ≥ 2 Mohs stages or with final safe margins of ≥ 5 mm. A nomogram predicting the probability of subclinical extension was constructed using the predictors identified in multivariable analysis.Of 274 patients included, 119 (43.4%) had subclinical extension. In multivariable analysis, male sex (odds ratio [OR], 2.45; 95% confidence interval [CI], 1.40-4.29; P = .002), lesions on mucocutaneous areas (OR, 3.71; 95% CI, 1.34-10.32; P = .012) and extremities (OR, 2.40; 95% CI, 1.20-4.78; P = .013), maximum diameter of 10 to 19 mm (OR, 14.15; 95% CI, 4.24-47.28; P < .001), and 20 to 29 mm (OR, 9.21; 95% CI, 2.80-30.29; P < .001) were associated with subclinical extension. A nomogram incorporating these 3 variables demonstrated promising predictive ability (C statistics = 0.78; 95% CI, 0.67-0.89).The nomogram incorporating sex, tumor location, and maximum diameter can provide individualized prediction for subclinical extension in Chinese patients with cutaneous squamous cell carcinoma. This information may help surgeons determine appropriate margins at the first Mohs stage.Entities:
Mesh:
Year: 2021 PMID: 33607825 PMCID: PMC7899850 DOI: 10.1097/MD.0000000000024767
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
Figure 1The flowchart of selection process for the model. cSCC = cutaneous squamous cell carcinoma, MMS = Mohs micrographic surgery.
Demographics and univariable analysis of selected variables.
| Variable | Value | cSCC without SCE (%) | cSCC with SCE (%) | OR (95% CI) | |
| Total no. of patients | 155 (56.6) | 119 (43.4) | — | — | |
| Age, mean ± SD | 70.3 ± 11.3 | 68.7 ± 13.2 | — | .303 | |
| Sex | Male | 62 (40.0) | 72 (60.5) | 0.44 (0.27, 0.71) | .001 |
| Female | 93 (60.0) | 47 (39.5) | |||
| Final safe margins, median (range) | 3 (2, 4) | 5 (3,15) | — | < .001 | |
| Immunosuppression | Absent | 138 (89.0) | 108 (90.8) | 0.83 (0.37, 1.84) | .641 |
| Present | 17 (11.0) | 11 (9.2) | |||
| Cigarette index | < 400 | 148 (95.5) | 108 (90.8) | 2.15 (0.81, 5.74) | .117 |
| ≥ 400 | 7 (4.5) | 11 (9.2) | |||
| History of prior NMSC | Absent | 141 (91.0) | 111 (93.3) | 0.73 (0.29, 1.79) | .486 |
| Present | 14 (9.0) | 8 (6.7) | |||
| Previous inflammation or trauma | Absent | 138 (89.0) | 96 (80.7) | 1.95 (0.99, 3.83) | .052 |
| Present | 17 (11.0) | 23 (19.3) | |||
| Location 1∗ | Low risk (ref.) | 13 (8.4) | 19 (16.0) | — | — |
| Moderate risk | 64 (41.3) | 49 (41.2) | 0.52 (0.24, 1.16) | .112 | |
| High risk | 78 (50.3) | 51 (42.8) | 0.45 (0.20, 0.99) | .046 | |
| Location 2† | Head and neck regions (ref.) | 111 (71.6) | 55 (46.2) | — | — |
| Mucocutaneous areas | 8 (5.2) | 16 (13.4) | 4.04 (1.63, 10.01) | .003 | |
| Extremities | 24 (15.5) | 35 (29.4) | 2.94 (1.60, 5.43) | .001 | |
| Trunk | 12 (7.7) | 13 (10.9) | 2.19 (0.94, 5.11) | .071 | |
| Maximum diameter, median (range) | 15 (2, 60) | 25 (6, 136)) | — | <.001 | |
| Recurrence | Absent | 147 (94.8) | 110 (92.4) | 1.50 (0.56, 4.02) | .414 |
| Present | 8 (5.2) | 9 (7.6) | |||
| Histological differentiation | Well | 133 (85.8) | 91 (76.5) | 1.86 (1.00, 3.45) | .047 |
| Moderately or poorly | 22 (14.2) | 28 (23.5) | |||
| Clark grade | I, II, or III | 77 (49.7) | 43 (36.1) | 1.75 (1.07, 2.85) | .025 |
| IV or V | 78 (50.3) | 76 (63.9) |
Adjusted results from the logistic regression model.
| Variable | Value | B | OR | 95% CI | |
| Sex∗ | Male | .90 | .002 | 2.45 | (1.40, 4.29) |
| Location† | Mucocutaneous areas | 1.31 | .012 | 3.71 | (1.34, 10.32) |
| Extremities | .87 | .013 | 2.40 | (1.20, 4.78) | |
| Trunk | .32 | .519 | 1.37 | (0.53, 3.56) | |
| Maximum diameter‡ | 10–19 mm | 2.65 | .000 | 14.15 | (4.24, 47.28) |
| 20–29 mm | 2.22 | .000 | 9.21 | (2.80, 30.29) | |
| ≥ 30 mm | 1.05 | .077 | 2.87 | (0.89, 9.20) | |
| Clark grade§ | IV or V | .52 | .075 | 1.68 | (0.95, 2.98) |
Figure 2The nomogram was established from 3 parameters (sex, location, and maximum diameter). To calculate a patient's possibility of SCE, points for each parameter can be identified from corresponding values on the “points” axis, and sum of the points was plotted on “total points” axis. The patient's possibility of SCE is the value at a vertical line from the corresponding total points. SCE = subclinical extension.
Figure 3The calibration curve for the predicted probability of SCE. A plot along the 45-degree line represents a perfect calibration model. The predicted probability is identical to the actual outcome. SCE = subclinical extension.