Skip to content

A Prospective Study on the Prediction Model of Para-aortic Lymph Node Metastasis

A Prospective Study on the Application of Para-aortic Lymph Node Metastasis Prediction Model in Locally Advanced Cervical Cancer and Its Effect on Prognosis

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06068387
Enrollment
264
Registered
2023-10-05
Start date
2023-03-01
Completion date
2026-02-28
Last updated
2023-10-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Locally Advanced Cervical Cancer

Brief summary

The goal of this prospective single-arm trial is to investigate the accuracy and feasibility of the para-aortic lymph node metastasis prediction model in locally advanced cervical cancer, as well as its impact on patients' prognosis. The main questions it aims to answer are: * Is the para-aortic lymph node metastasis prediction model accurate and feasible? * Whether the para-aortic lymph node metastasis prediction model can affect the prognosis of patients.

Interventions

para-aortic lymphadenectomy from the inferior mesenteric artery cranially to the aorta caudally via laparoscopy or laparotomy

Sponsors

Chongqing University Cancer Hospital
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
FEMALE
Age
18 Years to 75 Years
Healthy volunteers
No

Inclusion criteria

* In 2018, the International Federation of Obstetrics and Gynecology (FIGO) stage was Ib3 IIA2-IVA; * It was treated initially without surgical and chemotherapy. * Squamous cell carcinoma, adenocarcinoma and adeno-squamous cell carcinoma were confirmed by histopathology. * Pelvic MRI ± abdominal CT or MRI or PET/CT were performed before treatment. * ECOG score:0 \ 1. * The expected survival time\>6 months; * There is no absolute contraindication of surgery and and chemoradiotherapy and the patients with good compliance.

Exclusion criteria

* History of immune disease who need to take immunosuppressive drugs. * History of serious mental illness and brain functional disorder. * Other malignancies were diagnosed within five years or needed treatments. * Those who are unable or unwilling to accept surgical treatment/sign informed consent/comply with research requirements. * Without surgical conditions: 1) Chronic renal insufficiency or renal failure; 2) Liver insufficiency; 3)Chronic lung disease with restrictive respiratory dysfunction; 4) Cardiac dysfunction (patients with relative and absolute contraindications to surgery after consultation by cardiac physicians. * Patients who cannot understand the research regimen and refuse to sign the informed consent form. * Other concomitant diseases or special conditions seriously endanger the patient's health or interfere with the trial.

Design outcomes

Primary

MeasureTime frameDescription
The accuracy of the prediction model2 yearsThe performance of the model was assessed with respect to discrimination which was measured by the concordance index and calibration which was assessed by the calibration curve, Hosmer-Lemeshow test and Brier score. The investigators will calculate respectively the sensitivity and 95% confidence interval (CI), specificity and 95% CI, positive likelihood ratios (LR+) and 95% CI, negative likelihood ratios (LR-) and 95% CI, and the Kappa value.

Secondary

MeasureTime frameDescription
PFS3 yearsProgression-free Survival
LRR1 yearThe local recurrence rate of para-aortic lymphatic drainage area

Countries

China

Contacts

Primary ContactDongling Zou, M.D.
cqzl_zdl@163.com13657690699

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026