ArticleCancer imaging : the official publication of the International Cancer Imaging Society2023
Prediction of hepatic lymph node metastases based on magnetic resonance imaging before and after preoperative chemotherapy in patients with colorectal liver metastases underwent surgical resection.
Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 3 citations in OpenAlex.
- Optimal patient selection beyond the current selection criteria for liver transplantation for unresectable colorectal liver metastasis.Surgery today · 2026Review
- Hepatic lymph node metastases in patients with colorectal liver metastases undergoing hepatic artery infusion pump placement.Annals of hepato-biliary-pancreatic surgery · 2026Article
- Impact of Positive Lymph Nodes after Systematic Perihilar Lymphadenectomy in Colorectal Liver Metastases.Journal of clinical medicine · 2024Article
- Value of multiple models of diffusion-weighted imaging to predict hepatic lymph node metastases in colorectal liver metastases patients.World journal of gastroenterology · 2024Article
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Authors and funding
8 authors at 1 institution in 2 countries.
Funding
Abstract
backgroundPatients with colorectal liver metastases (CRLM) combined with hepatic lymph node (HLN) metastases have a poor prognosis. In this study, we developed and validated a model using clinical and magnetic resonance imaging (MRI) parameters to predict HLN status before surgery.
methodsA total of 104 CRLM patients undergoing hepatic lymphonodectomy with pathologically confirmed HLN status after preoperative chemotherapy were enrolled in this study. The patients were further divided into a training group (n = 52) and a validation group (n = 52). The apparent diffusion coefficient (ADC) values, including ADC
resultsIn the training cohort, post-ADC
conclusionsThe developed model using MRI parameters could accurately predict HLN metastases in CRLM patients and could be used to preoperatively assess the HLN status and facilitate surgical treatment decisions in patients with CRLM.
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Registered trials
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