| Literature DB >> 35912235 |
Jun Xiao1, Chao Yu1, Jing Chen1, Renhu Sun1, Hailin Jin1, Chunyang Liu2, Yaohui Wang2, Zhiguang Sun3.
Abstract
Background: Endoscopic forceps biopsy (EFB) lacks precision in diagnosing indeterminate tumors. When the presence of early gastric cancer (EGC) is macroscopically suspected, but biopsy pathology fails to give a diagnosis of neoplasia, it causes problems in clinical management. The purpose of this study was to discuss the outcome of gastric indeterminate tumors and the clinical factors associated with predicting EGC.Entities:
Keywords: biopsy; early gastric cancer; endoscopic submucosal dissection; gastric indeterminate tumors; narrow band imaging
Year: 2022 PMID: 35912235 PMCID: PMC9326109 DOI: 10.3389/fonc.2022.947810
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 5.738
Characteristics of the study patients between concordant and upgraded groups.
| Characteristics | All ( | Concordant ( | Upgraded ( |
|
|---|---|---|---|---|
| Age, years | 53.8 ± 12.2 | 52.5 ± 12.8 | 59.8 ± 7.0 |
|
| Gender, | 0.78 | |||
| Male | 103 (49.3) | 83 (48.8) | 20 (51.3) | |
| Female | 106 (50.7) | 87 (51.2) | 19 (48.7) | |
| Diagnostic modality, |
| |||
| WLI | 162 (77.5) | 141 (82.9) | 21 (53.9) | |
| NBI | 47 (22.5) | 29 (17.1) | 18 (46.1) | |
| Lesion diameter, cm | 2.02 ± 1.07 | 1.95 ± 1.04 | 2.32 ± 1.19 | 0.06 |
| Lesion width, cm | 1.71 ± 0.80 | 1.64 ± 0.77 | 1.98 ± 0.89 |
|
| Lesion color, | 0.16 | |||
| Similar color as surroundings | 38 (18.2) | 35 (20.6) | 3 (7.7) | |
| Reddish | 165 (79.0) | 130 (76.5) | 35 (89.7) | |
| Whitish | 6 (2.8) | 5 (2.9) | 1 (2.6) | |
| Location: long axis, |
| |||
| Upper third | 86 (41.2) | 71 (41.8) | 15 (38.4) | |
| Middle third | 32 (15.3) | 20 (11.8) | 12 (30.8) | |
| Lower third | 91 (43.5) | 79 (46.4) | 12 (30.8) | |
| Location: short axis, | 0.76 | |||
| Large curvature | 48 (23.0) | 37 (21.8) | 11 (28.2) | |
| Lesser curvature | 59 (28.2) | 49 (28.8) | 10 (25.6) | |
| Anterior gastric wall | 41 (19.6) | 35 (20.6) | 6 (15.4) | |
| Posterior gastric wall | 61 (29.2) | 49 (28.8) | 12 (30.8) | |
| Macroscopic morphology, | 0.07 | |||
| Elevated | 113 (54.1) | 97 (57.1) | 16 (41.0) | |
| Flat/Depressed | 96 (45.9) | 73 (42.9) | 23 (59.0) | |
| Ulceration, | 5 (2.4) | 3 (1.8) | 2 (5.1) | 0.22 |
| Nodularity, | 42 (20.1) | 31 (18.2) | 11 (28.2) | 0.16 |
| Erosion, | 71 (34.0) | 51 (30.0) | 20 (51.3) |
|
Data are mean ± standard deviation or number with the percentage in parenthesis. These bold values are all p<0.05, representing statistical significance.
Multi-variable logistic regression analysis of risk factors for the upgraded group.
| Variables | Crude Model | Adjusted Model | ||
|---|---|---|---|---|
| OR (95% CI) |
| OR (95% CI) |
| |
|
| 1.797 (1.265–2.554) |
| 1.779 (1.167–2.712) |
|
|
| 0.906 (0.452–1.818) | 0.78 | ||
|
| 4.168 (1.977–8.785) |
| 3.402 (1.374–8.425) |
|
|
| 1.317 (0.987–1.759) | 0.06 | ||
|
| 1.589 (1.067–2.365) |
| ||
|
| ||||
| Similar color as surroundings | Reference | |||
| Reddish | 3.140 (0.912–10.814) | 0.07 | ||
| Whitish | 2.333 (0.201–27.014) | 0.50 | ||
|
| ||||
| Upper third | Reference | |||
| Middle third | 2.840 (1.147–7.033) |
| ||
| Lower third | 0.719 (0.315–1.639) | 0.43 | ||
|
| ||||
| Large curvature | Reference | |||
| Lesser curvature | 0.686 (0.264–1.787) | 0.44 | ||
| Anterior gastric wall | 0.577 (0.193–1.727) | 0.33 | ||
| Posterior gastric wall | 0.824 (0.327–2.073) | 0.68 | ||
|
| 1.910 (0.942–3.872) | 0.07 | ||
|
| 3.009 (0.485–18.651) | 0.24 | ||
|
| 1.762 (0.793–3.915) | 0.16 | ||
|
| 2.456 (1.209–4.988) |
| 3.534 (1.413–8.836) |
|
Values are odds ratio (OR) with 95% confidence interval (CI). The adjusted model was adjusted for age, sex diagnostic modality, lesion location (long/short axis), diameter and width, color, macroscopic morphology, ulceration, nodularity, and erosion. These bold values are all p<0.05, representing statistical significance.
Characteristics of the study patients using NBI between concordant and upgraded groups.
| Characteristics | All ( | Concordant ( | Upgraded ( |
|
|---|---|---|---|---|
| Demarcation line, |
| |||
| Absent | 27 (49.3) | 24 (82.8) | 3 (16.7) | |
| Present | 20 (50.7) | 5 (17.2) | 15 (83.3) | |
| Microvascular pattern, |
| |||
| Regular | 30 (63.9) | 25 (86.2) | 5 (27.8) | |
| Irregular | 16 (34.0) | 3 (10.3) | 13 (72.2) | |
| Absent | 1 (2.1) | 1 (3.5) | 0 (0) | |
| Microsurface pattern, | 0.12 | |||
| Regular | 16 (34.0) | 13 (44.8) | 3 (16.7) | |
| Irregular | 24 (51.1) | 13 (44.8) | 11 (61.1) | |
| Absent | 7 (14.9) | 3 (10.4) | 4 (22.2) | |
| WGA, | 0.25 | |||
| Negative | 45 (95.7) | 27 (93.1) | 18 (100) | |
| Positive | 2 (4.3) | 2 (6.9) | 0 (0) | |
| WOS, |
| |||
| Negative | 41 (87.2) | 28 (96.6) | 13 (72.2) | |
| Positive | 6 (12.8) | 1 (3.4) | 5 (27.8) |
Data are numbers with the percentage in parenthesis. These bold values are all p<0.05, representing statistical significance.
Figure 1Univariate logistic regression analyses revealed that the presence of DL irregularity of MV and the presence of WOS were significantly associated with the risk of the upgraded group in patients with NBI use.