How to predict para-aortic node involvement in advanced cervical cancer? Development of a predictive score. A...

Area of Science:

• Oncology
• Radiotherapy
• Medical Imaging

Background:

• Node involvement is a key prognostic factor in cervical cancer.
• Para-aortic lymph node (PALN) assessment is critical for treatment planning in advanced cervical cancer, particularly for defining irradiation fields.

Purpose of the Study:

• To develop and validate a predictive score for para-aortic lymph node involvement in patients with advanced cervical cancer.

Main Methods:

• A multicenter, retrospective study involving 498 patients with advanced squamous cell cervical cancer across 9 French centers (2000-2015).
• PALN status was assessed via imaging and/or surgery.
• Univariate and multivariate logistic regression analyses were used to identify factors associated with PALN involvement, leading to the development of a predictive score.

Main Results:

• Out of 498 patients, 91 (18.3%) had positive PALN.
• Key predictors identified for the score included tumor size on pelvic MRI, initial squamous cell carcinoma (SCC) status, and suspected pelvic node involvement on PET-CT.
• The developed score effectively divided patients into three risk groups, with an Area Under the ROC Curve of 0.81.
• PALN involvement was 9% in the low-risk group and 43% in the high-risk group.

Conclusions:

• A simple, validated score effectively predicts para-aortic lymph node involvement in advanced cervical cancer.
• This score allows for the stratification of patients into low, intermediate, and high-risk groups.
• Patients identified as low-risk may potentially avoid para-aortic staging and extensive radiation fields, optimizing treatment strategies.