| Literature DB >> 31556243 |
Lei Gong1, Jie Yue1, Xiaofeng Duan1, Hongjing Jiang1, Hongdian Zhang1, Xi Zhang2, Zhentao Yu1.
Abstract
BACKGROUND: In recent years, diagnosis of early squamous cell carcinoma of the esophagus has been increasingly emphasized. The application of endoscopic submucosal dissection (ESD) has enabled safe resection of esophageal lesions. Minimally invasive esophagectomy (MIE) is also safe and feasible for early stages of the cancer. This study aimed to compare the therapeutic effects of early esophageal carcinoma treatment, and find the best predictive factor for the selection of treatment for T1a patients.Entities:
Keywords: Endoscopic submucosal dissection; esophageal cancer; minimally invasive esophagectomy; squamous cell carcinoma
Year: 2019 PMID: 31556243 PMCID: PMC6825902 DOI: 10.1111/1759-7714.13203
Source DB: PubMed Journal: Thorac Cancer ISSN: 1759-7706 Impact factor: 3.500
Baseline patient characteristics
| ESD (78) | MIE (128) |
| |
|---|---|---|---|
| Age (years) | 60.54 ± 8.70 | 59.50 ± 7.06 | 0.350 |
| Gender | 0.852 | ||
| Male | 65(83.33%) | 105(82.03%) | |
| Female | 13(16.67%) | 23(17.97%) | |
| Tumor location | 0.174 | ||
| Upper thoracic | 7(8.97%) | 4(3.13%) | |
| Middle thoracic | 40(51.28%) | 74(57.81%) | |
| Lower thoracic | 31(39.75%) | 49(38.28%) | |
| Charlson Comorbidity Index | 0.277 | ||
| 0 | 10(12.82%) | 8(6.25%) | |
| 1 | 16(20.51%) | 33(25.78%) | |
| 2 | 38(48.72%) | 56(43.75%) | |
| 3 | 10(12.82%) | 17(13.28%) | |
| ≥4 | 4(5.13%) | 14(10.94%) | |
| Depth of tumor invasion | |||
| M1 | 49(62.82%) | 16(12.50%) | 0.000 |
| M2 | 2(2.56%) | 4(3.13%) | |
| M3 | 9(11.54%) | 24(18.75%) | |
| SM1‐3 | 18(23.08%) | 84(65.62%) |
Statistically significant.
ESD, endoscopic submucosal dissection; MIE, minimally invasive esophagectomy.
Pathological outcomes
| ESD (78) | MIE (128) |
| |
|---|---|---|---|
| pT category | 0.000 | ||
| pT1a | 60(76.92%) | 44(34.38%) | |
| pT1b | 18(23.08%) | 84(65.62%) | |
| pN category | 0.017 | ||
| pN0 | 76(97.44%) | 107(83.59%) | |
| pN1 | 2(2.56%) | 20(15.63%) | |
| pN2 | 0(0) | 1(0.78%) | |
| Lymph node numbers | NA | 23.53 | |
| Differentiation | 0.000 | ||
| Well | 59(75.64%) | 40(31.25%) | |
| Moderate | 17(21.79%) | 71(55.47%) | |
| Poor | 2(2.56%) | 17(13.28%) | |
| pTNM | 0.045 | ||
| IA | 55(70.51%) | 26(20.31%) | |
| IB | 21(26.92%) | 81(63.28%) | |
| IIB | 2(2.56%) | 20(15.63%) | |
| 3A | 0(0) | 1(0.78%) |
Statistically significant.
Operative data and postoperative outcomes
| ESD | MIE |
| |
|---|---|---|---|
| R0 resection (%) | 73.08%(57) | 100%(128) | 0.000 |
| Hospital stay (days) | 10.17 ± 7.91 | 24.15 ± 9.41 | 0.000 |
| Cost ($) | 3673.77 ± 1002.83 | 22 272.30 ± 25 630.59 | 0.000 |
| Complication | 18(23.08%) | 31(24.22%) | 1.000 |
| Return ICU | 2(2.56%) | 9(7.03%) | 0.213 |
| Pneumonia | 2(2.56%) | 7(5.47%) | 0.488 |
| Perforation/leakage | 4(5.13%) | 5(3.91%) | 0.732 |
| Stenosis | 3(3.85%) | 1(0.78%) | 0.333 |
| Pneumothorax | 7(8.97%) | 0(0) | 0.333 |
| RLN injury | 0(0) | 9(7.03%) | 0.333 |
Statistically significant.
Perforation/leakage, perforation for ESD group, leakage for MIE group.
RLN, recurrent laryngeal nerve.
Univariate analysis of the risk factors for lymph node metastases
| LNM − | LNM + |
| |
|---|---|---|---|
| Age | 59.56 ± 7.19 | 59.23 ± 6.52 | 0.843 |
| Tumor location | 0.534 | ||
| Upper | 3 | 1 | |
| Middle/lower | 103 | 21 | |
| Differentiation | 0.020 | ||
| Well | 37 | 2 | |
| Moderate and poor | 70 | 19 | |
| Tumor length (mm) | 29.67 ± 22.94 | 43.33 ± 24.31 | 0.019 |
| Depth of invasion | 0.027 | ||
| M1‐3 | 35 | 3 | |
| SM1‐3 | 65 | 19 | |
| Angiolymphatic invasion | Length | 0.035 | |
| Absent | 104 | 19 | |
| Present | 2 | 3 |
Statistically significant.
LNM, lymph node metastases.
Figure 1Performance of lymph node metastasis predictive models using ROC curves. () Tumor length.
Multivariate analysis of the risk factors for lymph node metastases
| OR | (95% CI) |
| |
|---|---|---|---|
| Differentiation | 0.626 | 0.142–2.764 | 0.536 |
| Tumor size | 0.121 | 0.041–0.359 | 0.000 |
| Depth of invasion | 0.194 | 0.042–0.887 | 0.034 |
| Angiolymphatic invasion | 0.137 | 0.019–1.004 | 0.050 |
Statistically significant.
CI, confidence interval; OR, odds ratio.
Figure 2Performance of submucosal invasion predictive models using ROC curves. () Tumor width and () depth of invasion
Univariate analysis of the risk factors for submucosal invasion
| SMI− ( | SMI + ( |
| |
|---|---|---|---|
| Age | 60.37 ± 7.306 | 60.60 ± 7.30 | 0.885 |
| Tumor location | 1.000 | ||
| Upper | 4 | 3 | |
| Middle/lower | 63 | 42 | |
| Differentiation | 0.000 | ||
| Well | 57 | 5 | |
| Moderate and poor | 10 | 40 | |
| Tumor length (mm) | 30.52 ± 24.02 | 33.42 ± 30.16 | 0.602 |
| Tumor width (mm) | 16.81 ± 12.24 | 24.98 ± 16.99 | 0.004 |
| Depth of invasion (mm) | 3.11 ± 1.84 | 4.71 ± 2.26 | 0.000 |
Statistically significant.
SMI, submucosal invasion.