Rectal Neoplasms
Conditions
Keywords
Rectal cancer, lateral lymph node metastasis, middle rectal artery diameter, predictive model
Brief summary
This study aims to identify risk factors-including clinical and imaging indicators such as middle rectal artery (MRA) diameter-that may be associated with lateral lymph node metastasis (LLNM) in rectal cancer located below the peritoneal reflection, and to construct a corresponding predictive model.The main questions it aims to answer are: What factors are associated with clinically suspected lateral lymph node metastasis in rectal cancer below the peritoneal reflection? Can an effective predictive model be constructed based on these factors? Participants' clinical information has been collected for statistical analysis.
Detailed description
Objective: This study aimed to investigate the risk factors for suspected lateral lymph node metastasis in rectal cancer below the peritoneal reflection and to construct a predictive model. Methods: This retrospective study analyzed data from 690 patients with rectal cancer below the peritoneal reflection who were treated at the First Affiliated Hospital of Fujian Medical University between January 2022 and December 2024. The original dataset was randomly divided into a training set and validation set at a ratio of 7:3. Univariate and multivariate logistic regression analyses were performed on the training set to identify the risk factors associated with clinical lateral lymph node (cLLN) metastasis and to construct a predictive model.
Interventions
OTHERNo Intervention
This is a retrospective observational study. There is no intervention assigned as part of this research. The study involves the analysis of existing clinical data from patients who were clinically suspected of lateral lymph node metastasis (LLNM) versus those who were not. Treatments received by patients (e.g., surgery, radiotherapy) were part of their routine clinical care and are not interventions administered by this study protocol.
Sponsors
First Affiliated Hospital of Fujian Medical University
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
No
Inclusion criteria
* Age at diagnosis between 18 and 75 years * Pathological confirmation of rectal adenocarcinoma by endoscopic biopsy * Imaging confirmation that the tumor was located below the peritoneal reflection * Availability of rectal MRI scans providing detailed imaging of the pelvic region * Received treatment at The First Affiliated Hospital of Fujian Medical University between January 2022 and December 2024
Exclusion criteria
* Pathological diagnosis of non-primary rectal malignancies * Previous treatment for rectal cancer with chemotherapy, radiotherapy, or surgery, with the current presentation indicating recurrence * Incomplete rectal MRI data or poor image quality affecting interpretation * Incomplete medical or clinical records. Ultimately, 690 patients were included in the final analysis
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Independent Risk Factors for Clinically Suspected Lateral Lymph Node Metastasis (cLLNM) | At the time of preoperative assessment (Data collected retrospectively from January 2022 to December 2024). | Multivariable logistic regression analysis incorporating preoperative clinical and imaging variables to identify independent risk factors associated with clinically suspected lateral lymph node metastasis (cLLNM). Results are presented as odds ratios with 95% confidence intervals. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Discriminative Ability for Clinically Suspected Lateral Lymph Node Metastasis Prediction | At the time of preoperative assessment (Data collected retrospectively from January 2022 to December 2024). | Assessment of the multivariable predictive model's discriminative performance in identifying patients with clinically suspected lateral lymph node metastasis (cLLNM). The model incorporates preoperative clinical and imaging variables, and its performance is quantified using the area under the receiver operating characteristic curve. |
| Diagnostic performance of the key predictor: middle rectal artery diameter | At the time of preoperative assessment (Data collected retrospectively from January 2022 to December 2024). | Sensitivity, specificity, accuracy, and optimal cutoff value (≥3.25 mm) of MRA diameter alone for identifying cLLNM. |
Countries
China
Contacts
PRINCIPAL_INVESTIGATORYongjian Huang
First Affiliated Hospital of Fujian Medical University
Outcome results
None listed