| Literature DB >> 34842482 |
Xinkui Jiang1, Xiaofeng Chen2, Jiangtao Li3, Weiqi Wang4, Jing Li5.
Abstract
OBJECTIVE: The present study aimed to evaluate the diagnostic accuracy of three-dimensional transvaginal ultrasonography (3D-TVS) for intrauterine adhesions (IUA).Entities:
Keywords: Intrauterine adhesion; diagnostic accuracy; endometrial polyp; hysteroscopy; submucosal myoma; three-dimensional transvaginal ultrasonography
Mesh:
Year: 2021 PMID: 34842482 PMCID: PMC8649470 DOI: 10.1177/03000605211024520
Source DB: PubMed Journal: J Int Med Res ISSN: 0300-0605 Impact factor: 1.671
Comparison of results between 3D-TVS and HS in all patients with uterine cavity lesions.
| 3D-TVS | HS | Total | |
|---|---|---|---|
| Yes | No | ||
| IUA | |||
| Yes | 246 | 23 | 269 |
| No | 3 | 228 | 231 |
| Total | 249 | 251 | 500 |
| EP | |||
| Yes | 144 | 11 | 155 |
| No | 8 | 337 | 345 |
| Total | 152 | 348 | 500 |
| SM | |||
| Yes | 67 | 9 | 76 |
| No | 9 | 415 | 424 |
| Total | 76 | 424 | 500 |
3D-TVS, three-dimensional transvaginal ultrasonography; HS, hysteroscopy; IUA, intrauterine adhesions; EP, endometrial polyps; SM, submucosal myoma.
Figure 1.(a and b) Three-dimensional transvaginal ultrasonographic images of mild intrauterine adhesions.
Figure 2.(a and b) Three-dimensional transvaginal ultrasonographic images of moderate intrauterine adhesions.
Figure 3.(a and b) Three-dimensional transvaginal ultrasonographic images of severe intrauterine adhesions.
Figure 4.(a and b) Three-dimensional transvaginal ultrasonographic images of submucosal myomas.
Figure 5.(a and b) Three-dimensional transvaginal ultrasonographic images of endometrial polyps.
Comparison of severity of results between 3D-TVS and HS for intrauterine adhesions.
| 3D-TVS | HS | Total | ||
|---|---|---|---|---|
| Mild | Moderate | Severe | ||
| Mild | 66 | 5 | 0 | 71 |
| Moderate | 2 | 74 | 6 | 82 |
| Severe | 0 | 2 | 91 | 93 |
| Total | 68 | 81 | 97 | 246 |
3D-TVS, three-dimensional transvaginal ultrasonography; HS, hysteroscopy.
Comparison of classification results between 3D-TVS and HS for intrauterine adhesions.
| 3D-TVS | HS | Total | ||
|---|---|---|---|---|
| Simple cervical adhesions | Cervical and uterine adhesions | Simple uterine adhesions | ||
| Simple cervical adhesions | 73 | 4 | 0 | 77 |
| Cervical and uterine adhesions | 1 | 78 | 0 | 79 |
| Simple uterine adhesions | 0 | 3 | 87 | 90 |
| Total | 74 | 85 | 87 | 246 |
3D-TVS, three-dimensional transvaginal ultrasonography; HS, hysteroscopy.
Diagnostic efficacy of 3D-TVS for the severity of uterine cavity lesions.
| 3D-TVS | HS | Sensitivity (%) | Specificity (%) | PPV (%) | NPV (%) | Accuracy (%) | |
|---|---|---|---|---|---|---|---|
| Yes | No | ||||||
| Mild | |||||||
| Yes | 66 | 5 | 97.1 | 97.2 | 93 | 98.9 | 97.2 |
| No | 2 | 173 | |||||
| Moderate | |||||||
| Yes | 74 | 8 | 91.4 | 95.2 | 90.2 | 95.7 | 93.9 |
| No | 7 | 157 | |||||
| Severe | |||||||
| Yes | 91 | 2 | 93.8 | 98.7 | 97.8 | 96.1 | 96.7 |
| No | 6 | 149 | |||||
3D-TVS, three-dimensional transvaginal ultrasonography; HS, hysteroscopy; PPV, positive predictive value; NPV, negative predictive value.
Comparison of three-dimensional transvaginal ultrasonographic parameters between patients with no IUA and patients with different severities of IUA.
| Groups | n | ED (cm) | EV (cm3) | VI (%) | FI | VFI |
|---|---|---|---|---|---|---|
| Normal | 23 | 0.62±0.07 | 2.77±0.87 | 4.32±1.09 | 24.8±0.71 | 0.96±0.59 |
| Mild IUA | 71 | 0.55±0.09
| 2.04±0.41
| 3.21±1.34
| 24.4±1.59 | 0.55±0.22
|
| Moderate IUA | 81 | 0.49±0.08
| 1.78±0.43
| 2.86±1.37
| 23.8±1.53
| 0.48±0.24
|
| Severe IUA | 97 | 0.36±0.07
| 0.98±0.19
| 1.30±0.71
| 19.9±2.49
| 0.12±0.09
|
| F | 121.66 | 161.29 | 66.69 | 106.68 | 88.57 | |
| P | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 |
Values are mean ±standard deviation.
aP<0.05, compared with the normal group; bP<0.05, compared with the mild group; cP<0.05, compared with the moderate group.
IUA, intrauterine adhesions; ED, endometrial thickness; EV, endometrial volume; VI, vascular index; FI, blood flow index; VFI Vascular-blood Flow Composite Index.