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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Clinically suspected LLNM | Patients with clinically suspected lateral lymph node metastasis. |
| |
| Clinically suspected non-LLNM | Patients without clinically suspected lateral lymph node metastasis. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| No Intervention | Other | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| Independent Risk Factors for Clinically Suspected Lateral Lymph Node Metastasis (cLLNM) | 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. | At the time of preoperative assessment (Data collected retrospectively from January 2022 to December 2024). |
| Measure | Description | Time Frame |
|---|---|---|
| Discriminative Ability for Clinically Suspected Lateral Lymph Node Metastasis Prediction | 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. |
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Inclusion Criteria:
Exclusion Criteria:
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This retrospective cohort study included adult patients (aged 18-75 years) with pathologically confirmed rectal adenocarcinoma located below the peritoneal reflection, who had complete preoperative pelvic MRI data and were treated at The First Affiliated Hospital of Fujian Medical University between 2022 and 2024. The study aimed to analyze this population to identify risk factors and develop a predictive model for clinically suspected lateral lymph node metastasis.
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| Name | Affiliation | Role |
|---|---|---|
| Yongjian Huang | First Affiliated Hospital of Fujian Medical University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| The First Affiliated Hospital of Fujian Medical University | Fuzhou | Fujian | 350004 | China |
Individual participant data that underlie the results reported in the article, after deidentification, will be made available upon reasonable request to the corresponding author, after article publication.
Data and supporting documents will become available upon reasonable request after the publication of the study.
Researchers who provide a methodologically sound proposal may request access to deidentified individual participant data and supporting documents. Proposals should be directed to the corresponding author at 13600801413@139.com. To gain access, requestors will need to sign a data access agreement. Approval is subject to review by the study's principal investigator and the institutional ethics committee.
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| ID | Term |
|---|---|
| D012004 | Rectal Neoplasms |
| ID | Term |
|---|---|
| D015179 | Colorectal Neoplasms |
| D007414 | Intestinal Neoplasms |
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
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| At the time of preoperative assessment (Data collected retrospectively from January 2022 to December 2024). |
| Diagnostic performance of the key predictor: middle rectal artery diameter | Sensitivity, specificity, accuracy, and optimal cutoff value (≥3.25 mm) of MRA diameter alone for identifying cLLNM. | At the time of preoperative assessment (Data collected retrospectively from January 2022 to December 2024). |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D004066 | Digestive System Diseases |
| D005767 | Gastrointestinal Diseases |
| D007410 | Intestinal Diseases |
| D012002 | Rectal Diseases |