Role of multi-parametric magnetic resonance imaging in preoperative staging of cervical carcinoma in females

Background In cervical cancer, accurate diagnosis of parametrial invasion (PMI) helps in determining the next step in management, either surgical resection or neoadjuvant therapy. Cervical cancer staging is still determined according to the clinical findings. But it is widely recognized that there are differences between clinical evaluation and the actual disease extent, particularly for PMI. In this prospective study, we investigate the relationship between clinical staging and magnetic resonance imaging (MRI) staging with post-management findings among patients with cervical cancer who underwent pre-treatment MRI, using fused T2-weighted image/diffusion-weighted imaging (T2/DWI). Results Based on examination under anesthesia (EUA), 80% of patients showed PMI, while fused T2/DWI was positive for PMI in 77.5% of patients. In all analyzed cases (40 females), MRI had sensitivity, specificity, and accuracy of 91%, 75%, and 87.5% compared to EUA. In the operated patients (24 females), MRI likewise had sensitivity, specificity, and accuracy of 81.3%, 87.5%, and 83%, respectively. In comparison with the postoperative results, the EUA showed higher sensitivity and accuracy than MRI (92.9% vs. 81.3%) and (83.3% vs. 79.2%), respectively, in the detection of PMI in operated cases. However, MRI was more specific in the PMI detection in cases with cervical cancer than EUA (75% vs. 70%). Conclusion MRI (with the aid of fused T2/DWI) improves the diagnostic performance for the PMI assessment in cases with cervical carcinoma. Therefore, MRI is helpful in choosing surgical candidates..

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:55

Enthalten in:

The Egyptian Journal of Radiology and Nuclear Medicine - 55(2024), 1 vom: 20. März

Sprache:

Englisch

Beteiligte Personen:

Sadec, Hoda Mohamed Helmy Ahmed [VerfasserIn]
Awadallah, Shrouk Mohamed [VerfasserIn]
Ibrahim, Ahmed Mohamed [VerfasserIn]
Abdel-Aziz, Amany Mohamed Rashad [VerfasserIn]
Sheha, Aliaa Sayed [VerfasserIn]

Links:

Volltext [kostenfrei]

Themen:

Cervical carcinoma
Early detection
Fused T2/DWI
Gynecological oncology
Image interpretation
Magnetic resonance imaging
Neoplasm staging
Parametrium
Preoperative care
Uterine cervical neoplasms

Anmerkungen:

© The Author(s) 2024

doi:

10.1186/s43055-024-01222-1

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

SPR05523285X