Accurate evaluation of tumor response to preoperative chemotherapy is crucial for assigning
appropriate patients with colorectal liver metastases (CRLM) to surgery or conservative …

Background Accurate tumour response prediction to targeted therapy allows for
personalised conversion therapy for patients with unresectable colorectal cancer liver …

Purpose The purpose of this study was to develop and validate a deep learning (DL)based
radiomics model to predict the response to chemotherapy in colorectal liver metastases …

Abstract Background/Purpose The primary cause of mortality in colorectal cancer is
metastatic disease. We investigated the ability of a machine learning (ML) algorithm to …

Background Surgical resection of hepatic metastases remains the only potentially curative
treatment option for patients with colorectal liver metastases (CRLM). Widely adopted …

In developed countries, colorectal cancer is the second cause of cancer-related mortality.
Chemotherapy is considered a standard treatment for colorectal liver metastases (CLM) …

Colorectal cancer is a prevalent and life-threatening disease, where colorectal cancer liver
metastasis (CRLM) exhibits the highest mortality rate. Currently, surgery stands as the most …

Background The prognosis for patients with colorectal-cancer liver metastases (CRLM) after
curative surgery remains poor and shows great heterogeneity. Early recurrence, defined as …

Liver metastases (mts) from colorectal cancer (CRC) can have different responses to
chemotherapy in the same patient. The aim of this study is to develop and validate a …

Predicting the prognosis of patients in advance is conducive to providing personalized
treatment for patients. Our aim was to predict the therapeutic efficacy and progression free …