Copyright
©The Author(s) 2025.
World J Radiol. Sep 28, 2025; 17(9): 111493
Published online Sep 28, 2025. doi: 10.4329/wjr.v17.i9.111493
Published online Sep 28, 2025. doi: 10.4329/wjr.v17.i9.111493
Table 1 QUADAS-2 quality assessment
Ref. | Imaging modality | Patient selection | Index test | Reference standard | Flow and timing | Overall risk of bias |
Tameish et al[24], 2023 | TVUS vs MRI | Low | Low | Low | Low | Low risk |
Jacobs et al[25], 2011 | TVUS | Low | Low | Unclear | Low | Some concerns |
Bian et al[26], 2023 | Elastography | Low | Low | Low | Low | Low risk |
Ziogas et al[27], 2022 | 3D-US | Low | Low | Low | Low | Low risk |
Xydias et al[28], 2022 | 3D-US | Low | Low | Unclear | Low | Some concerns |
Stoelinga et al[29], 2021 | Contrast-enhanced US | Low | Low | Low | Low | Low risk |
Guler et al[30], 2024 | Elastography | Unclear | Low | Low | Unclear | Some concerns |
Moro et al[38], 2022 | AI | Low | Low | Unclear | Low | Some concerns |
Jin and Zhou[37], 2025 | TVUS vs MRI | Low | Low | Low | Low | Low risk |
Tameish et al[24], 2023 | Two-dimensional-US | Unclear | Low | Unclear | Unclear | High risk |
Jacobs et al[25], 2011 | TVUS | Low | Low | Low | Low | Low risk |
Wu et al[34], 2020 | AI (breast US) | Low | Low | Low | Low | Low risk |
Song et al[33], 2022 | AI (renal US) | Low | Low | Low | Low | Low risk |
Zheng et al[31], 2024 | AI (thyroid US) | Low | Low | Unclear | Low | Some concerns |
Mohit et al[32], 2023 | AI review | N/A | N/A | N/A | N/A | Not applicable |
Nathani et al[35], 2024 | AI (pulmonology US) | Unclear | Low | Low | Unclear | Some concerns |
Bajaj et al[36], 2021 | AI (intravascular US) | Low | Low | Low | Low | Low risk |
Table 2 Diagnostic performance summary
Modality | Sensitivity | Specificity | Area under the curve | Primary indication | Strengths | Weaknesses |
Transvaginal US | 76%–96% | 61%–86% | 0.88 | Initial screening; endometrial thickness measurement | Widely available; cost-effective; high sensitivity | Operator-dependent; reduced accuracy in obesity/retroversion |
MRI | 79%–92% | 84%–95% | 0.89–0.91 | Staging (myometrial/cervical invasion, lymph nodes) | High soft tissue contrast; reliable staging | Expensive; limited availability |
Three-dimensional US | 75%–88% | 75%–91% | 0.86–0.90 | Volumetric analysis; preoperative planning | Similar accuracy to MRI; enhanced resolution | Requires advanced equipment and training |
Contrast-enhanced US | 82%–90% | 78%–89% | 0.85–0.88 | Vascular characterization; benign vs malignant differentiation | Real-time microvascular imaging | Contrast contraindications; standardization needed |
Elastography | 78%–85% | 70%–88% | 0.83–0.87 | Tissue stiffness evaluation; adjunct diagnostic tool | Non-invasive characterization | Limited operator experience; fewer studies |
Artificial intelligence (radiomics/machine learning) | 80%–90% | 78%–92% | 0.88–0.91 | Risk prediction; segmentation; decision support | High potential for automation; promising accuracy | Data bias; hardware demands; limited external validation |
- Citation: Tlais M, Hamze H, Hteit A, Haddad K, El Fassih I, Zalzali I, Mahmoud S, Karaki S, Jabbour D. Advances in ultrasound-based imaging for diagnosis of endometrial cancer. World J Radiol 2025; 17(9): 111493
- URL: https://www.wjgnet.com/1949-8470/full/v17/i9/111493.htm
- DOI: https://dx.doi.org/10.4329/wjr.v17.i9.111493