Published online Jan 28, 2024. doi: 10.3748/wjg.v30.i4.308
Peer-review started: November 6, 2023
First decision: November 30, 2023
Revised: December 15, 2023
Accepted: January 10, 2024
Article in press: January 10, 2024
Published online: January 28, 2024
Processing time: 80 Days and 22.3 Hours
About 10%-31% of colorectal liver metastases (CRLM) patients would concomitantly show hepatic lymph node metastases (LNM), which was considered as sign of poor biological behavior and a relative contraindication for liver resection. Up to now, there’s still lack of reliable preoperative methods to assess the status of hepatic lymph nodes in patients with CRLM, except for pathology examination of lymph node after resection.
To compare the ability of mono-exponential, bi-exponential, and stretched-exponential diffusion-weighted imaging (DWI) models in distinguishing between benign and malignant hepatic lymph nodes in patients with CRLM who received neoadjuvant chemotherapy prior to surgery.
In this retrospective study, 97 CRLM patients with pathologically confirmed hepatic lymph node status underwent magnetic resonance imaging, including DWI with ten b values before and after chemotherapy. Various parameters, such as the apparent diffusion coefficient from the mono-exponential model, and the true diffusion coefficient, the pseudo-diffusion coefficient, and the perfusion fraction derived from the intravoxel incoherent motion model, along with distributed diffusion coefficient (DDC) and α from the stretched-exponential model (SEM), were measured. The parameters before and after chemotherapy were compared between positive and negative hepatic lymph node groups. A nomogram was constructed to predict the hepatic lymph node status. The reliability and agreement of the measurements were assessed using the coefficient of variation and intraclass correlation coefficient.
Multivariate analysis revealed that the pre-treatment DDC value and the short diameter of the largest lymph node after treatment were independent predictors of metastatic hepatic lymph nodes. A nomogram combining these two factors demonstrated excellent performance in distinguishing between benign and malignant lymph nodes in CRLM patients, with an area under the curve of 0.873. Furthermore, parameters from SEM showed substantial repeatability.
The developed nomogram, incorporating the pre-treatment DDC and the short axis of the largest lymph node, can be used to predict the presence of hepatic LNM in CRLM patients undergoing chemotherapy before surgery. This nomogram was proven to be more valuable, exhibiting superior diagnostic performance compared to quantitative parameters derived from multiple b values of DWI. The nomogram can serve as a preoperative assessment tool for determining the status of hepatic lymph nodes and aiding in the decision-making process for surgical treatment in CRLM patients.
Core Tip: This study compared the diagnostic effectiveness of mono-exponential, bi-exponential, and stretched exponential Diffusion-weighted magnetic resonance imaging in predicting hepatic lymph node metastases (LNM) in patients with colorectal liver metastases after chemotherapy. Our finding indicated that only the pre-treatment distributed diffusion coefficient value and the short diameter of the largest lymph node after treatment were independent predictors of hepatic LNM. We developed a nomogram incorporating these two factors to non-invasively and individually predict the status of hepatic lymph nodes, demonstrating significant potential in surgical planning and assessing high-risk patients.