ArticleLa Radiologia medica2019
Texture features of colorectal liver metastases on pretreatment contrast-enhanced CT may predict response and prognosis in patients treated with bevacizumab-containing chemotherapy: a pilot study including comparison with standard chemotherapy.
Article in La Radiologia medica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.
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Who cites it
36 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Delta radiomics: a systematic review.La Radiologia medica · 2021Pooled it
- A Systematic Review about Imaging and Histopathological Findings for Detecting and Evaluating Electroporation Based Treatments Response.International journal of environmental research and public health · 2021Pooled it
- Radiomic Parameters for the Evaluation of Response to Treatment in Metastatic Colorectal Cancer Patients with Liver Metastasis: Findings from the CAVE-GOIM mCRC Phase 2 Trial.Clinical drug investigation · 2024Trial
- Integrating CT-Based Radiomics Analysis With Serum CEA Level to Predict Neoadjuvant Chemoradiotherapy Response in Colorectal Cancer.The Kaohsiung journal of medical sciences · 2026Article
- Machine learning model-based approach using cellular proliferation marker expression for preoperative clinical decision-making in patients with hepatocellular carcinoma.World journal of gastrointestinal oncology · 2025Article
- Gender Medicine in Computed Tomography Radiomics Analysis to Predict Disease Progression in Liver Respectable Colorectal Cancer Patients.Cancer medicine · 2025Article
- Delta Radiomics and Tumor Size: A New Predictive Radiomics Model for Chemotherapy Response in Liver Metastases from Breast and Colorectal Cancer.Tomography (Ann Arbor, Mich.) · 2025Article
- Construction of a prognostic survival model for colorectal cancer patients using CT image texture analysis: a prospective cohort study.Frontiers in oncology · 2025Article
- Radiomics-based Machine Learning Approach to Predict Chemotherapy Responses in Colorectal Liver Metastases.Journal of the anus, rectum and colon · 2025Article
- Article
- Focal Lesions of the Liver and Radiomics: What Do We Know?Diagnostics (Basel, Switzerland) · 2023Review
- Radiomics in colorectal cancer patients.World journal of gastroenterology · 2023Review
- The Role of Dual-Energy CT for the Assessment of Liver Metastasis Response to Treatment: Above the RECIST 1.1 Criteria.Journal of clinical medicine · 2023Article
- Role of advanced imaging techniques in the evaluation of oncological therapies in patients with colorectal liver metastases.World journal of gastroenterology · 2023Review
- A Review of Radiomics in Predicting Therapeutic Response in Colorectal Liver Metastases: From Traditional to Artificial Intelligence Techniques.Healthcare (Basel, Switzerland) · 2022Review
- A narrative review on current imaging applications of artificial intelligence and radiomics in oncology: focus on the three most common cancers.La Radiologia medica · 2022Review
- Radiomics textural features by MR imaging to assess clinical outcomes following liver resection in colorectal liver metastases.La Radiologia medica · 2022Article
- Radiomics and Machine Learning Analysis Based on Magnetic Resonance Imaging in the Assessment of Colorectal Liver Metastases Growth Pattern.Diagnostics (Basel, Switzerland) · 2022Article
- Dynamic contrast-enhanced (DCE) imaging: state of the art and applications in whole-body imaging.Japanese journal of radiology · 2022Review
- CT-Based Radiomics Analysis to Predict Histopathological Outcomes Following Liver Resection in Colorectal Liver Metastases.Cancers · 2022Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeBevacizumab added to chemotherapy can improve survival in patients with metastatic colorectal cancer, but no predictive factors of efficacy are available in clinical practice. The aim of this study is to assess the predictive and prognostic value of texture analysis on pretreatment contrast-enhanced CT in patients affected by colorectal liver metastases. MATERIALS AND
methodsForty-three patients with colorectal liver metastases were retrospectively included in the study: 23 treated with bevacizumab-containing chemotherapy (group A), and 20 with standard chemotherapy (group B). Target liver lesions were analyzed by texture analysis of pretreatment contrast-enhanced CT. Texture analysis produced the parameter uniformity, describing lesion heterogeneity. Radiological response was classified after 3 months according to RECIST-1.1. Overall survival (OS) and progression-free survival (PFS) were considered to be outcome indicators. Multivariable logistic regression and survival analysis were performed.
resultsUniformity was lower in responders than in nonresponders (p < 0.001) in group A but not in group B. Lesion CT density was lower in nonresponders in both groups (p = 0.03 and 0.02, respectively). In group A, uniformity was independently correlated with radiological response (odds ratio = 20, p = 0.01), OS and PFS (relative risks 6.94 and 5.05, respectively; p = 0.005 and p = 0.004, respectively). In group B, no variables were correlated with radiological response, OS or PFS.
conclusionTexture analysis on contrast-enhanced CT stratified response probability and prognosis in patients with colorectal liver metastases treated with bevacizumab-containing therapy. This result was specific for the bevacizumab group.
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