Department of Radiology, Mohn Medical Imaging and Visualization Centre MMIV, Haukeland University Hospital, Jonas Lies vei 65, N-5021, Bergen, Norway.
Section for Radiology, Department of Clinical Medicine, University of Bergen, Bergen, Norway.
Eur Radiol. 2022 Sep;32(9):6444-6455. doi: 10.1007/s00330-022-08666-x. Epub 2022 Mar 24.
To evaluate the interobserver agreement for MRI-based 2018 International Federation of Gynecology and Obstetrics (FIGO) staging parameters in patients with cervical cancer and assess the prognostic value of these MRI parameters in relation to other clinicopathological markers.
This retrospective study included 416 women with histologically confirmed cervical cancer who underwent pretreatment pelvic MRI from May 2002 to December 2017. Three radiologists independently recorded MRI-derived staging parameters incorporated in the 2018 FIGO staging system. Kappa coefficients (κ) for interobserver agreement were calculated. The predictive and prognostic values of the MRI parameters were explored using ROC analyses and Kaplan-Meier with log-rank tests, and analyzed in relation to clinicopathological patient characteristics.
Overall agreement was substantial for the staging parameters: tumor size > 2 cm (κ = 0.80), tumor size > 4 cm (κ = 0.76), tumor size categories (≤ 2 cm; > 2 and ≤ 4 cm; > 4 cm) (κ = 0.78), parametrial invasion (κ = 0.63), vaginal invasion (κ = 0.61), and enlarged lymph nodes (κ = 0.63). Higher MRI-derived tumor size category (≤ 2 cm; > 2 and ≤ 4 cm; > 4 cm) was associated with a stepwise reduction in survival (p ≤ 0.001 for all). Tumor size > 4 cm and parametrial invasion at MRI were associated with aggressive clinicopathological features, and the incorporation of these MRI-based staging parameters improved risk stratification when compared to corresponding clinical assessments alone.
The interobserver agreement for central MRI-derived 2018 FIGO staging parameters was substantial. MRI improved the identification of patients with aggressive clinicopathological features and poor survival, demonstrating the potential impact of MRI enabling better prognostication and treatment tailoring in cervical cancer.
• The overall interobserver agreement was substantial (κ values 0.61-0.80) for central MRI staging parameters in the 2018 FIGO system. • Higher MRI-derived tumor size category was linked to a stepwise reduction in survival (p ≤ 0.001 for all). • MRI-derived tumor size > 4 cm and parametrial invasion were associated with aggressive clinicopathological features, and the incorporation of these MRI-derived staging parameters improved risk stratification when compared to clinical assessments alone.
评估基于 MRI 的 2018 年国际妇产科联合会(FIGO)分期参数在宫颈癌患者中的观察者间一致性,并评估这些 MRI 参数与其他临床病理标志物的相关性的预后价值。
本回顾性研究纳入了 2002 年 5 月至 2017 年 12 月期间接受治疗前盆腔 MRI 的 416 例经组织学证实的宫颈癌患者。3 名放射科医生独立记录了纳入 2018 年 FIGO 分期系统的 MRI 衍生分期参数。计算了观察者间一致性的kappa 系数(κ)。使用 ROC 分析和 Kaplan-Meier 对数秩检验探讨 MRI 参数的预测和预后价值,并与临床病理患者特征进行分析。
总体而言,分期参数的观察者间一致性较高:肿瘤大小>2cm(κ=0.80)、肿瘤大小>4cm(κ=0.76)、肿瘤大小类别(≤2cm;>2cm 且≤4cm;>4cm)(κ=0.78)、宫旁侵犯(κ=0.63)、阴道侵犯(κ=0.61)和淋巴结肿大(κ=0.63)。较高的 MRI 衍生肿瘤大小类别(≤2cm;>2cm 且≤4cm;>4cm)与生存率逐步降低相关(所有 p 值均≤0.001)。MRI 上肿瘤大小>4cm 和宫旁侵犯与侵袭性临床病理特征相关,与单独进行相应的临床评估相比,纳入这些基于 MRI 的分期参数可改善风险分层。
中央 MRI 衍生的 2018 年 FIGO 分期参数的观察者间一致性较高。MRI 提高了对侵袭性临床病理特征和不良生存患者的识别能力,表明 MRI 具有潜在的影响,能够更好地进行宫颈癌预后和治疗调整。
2018 年 FIGO 系统中,中央 MRI 分期参数的总体观察者间一致性较高(κ 值为 0.61-0.80)。
较高的 MRI 衍生肿瘤大小类别与生存率逐步降低相关(所有 p 值均≤0.001)。
MRI 上肿瘤大小>4cm 和宫旁侵犯与侵袭性临床病理特征相关,与单独进行临床评估相比,纳入这些 MRI 衍生的分期参数可改善风险分层。