ReviewWorld journal of gastroenterology2023
Radiomics in colorectal cancer patients.
Review in World journal of gastroenterology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
56 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.
- Radiomics Models as Tools for Predicting Genetic Mutations in Colorectal Cancer: A Systematic Review and Meta-Analysis.Journal of gastrointestinal cancer · 2026Pooled it
- Bibliometric and visual analysis of radiomics for evaluating lymph node status in oncology.Frontiers in medicine · 2024Pooled it
- Review
- Photoacoustic-ultrasound endoscopy for assessment of rectal cancer treatment response: A prospective study with T2-weighted MRI radiomics comparison.Photoacoustics · 2026Article
- Multimodal prediction of metachronous liver metastasis in stage I-III colorectal cancer patients: multicenter cohort study employing machine learning.Abdominal radiology (New York) · 2026Article
- Radiomics analysis of restaging MRI for detection of pathological complete response in locally advanced rectal cancer.European journal of radiology open · 2026Article
- A multimodal interpretable deep learning-radiomics framework for predicting lymph node metastasis following neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicenter validation study.NPJ precision oncology · 2026Article
- Integrating CT-Based Radiomics Analysis With Serum CEA Level to Predict Neoadjuvant Chemoradiotherapy Response in Colorectal Cancer.The Kaohsiung journal of medical sciences · 2026Article
- CT-Based Radiomic Signatures Associated with Serum CEA Status in Colon Cancer.Diagnostics (Basel, Switzerland) · 2026Article
- CT-Based radiomics and deep learning for the preoperative prediction of peritoneal metastasis in ovarian cancers.Abdominal radiology (New York) · 2026Article
- Multimodal radiomics for precision management of colorectal cancer.Discover oncology · 2026Review
- A predictive model for treatment efficacy in RAS wild-type advanced colorectal cancer: development and external validation for EGFR inhibitor plus anti-angiogenic therapy based on a retrospective cohort.Scientific reports · 2026Article
- MRI-based habitat analysis for pathologic response prediction after neoadjuvant chemoradiotherapy in rectal cancer: a multicenter study.European radiology · 2026Article
- Biomarker guided combination strategies and perioperative integration for immune cold microsatellite stable colorectal cancer.Discover oncology · 2026Review
- Multiparametric MRI radiomics nomogram predicts synchronous distant metastasis in rectal cancer.Scientific reports · 2026Article
- Predictive model based on magnetic resonance imaging for chemotherapy response in colorectal cancer: Toward a radiologic biopsy approach.World journal of gastrointestinal oncology · 2026Article
- Future directions of image-guided thermal ablation in colorectal cancer lung oligometastases.World journal of gastroenterology · 2026Article
- Integration of habitat radiomics and traditional radiomic features for predicting pathological complete response in esophageal squamous cell carcinoma following neoadjuvant immunotherapy and chemotherapy: a multicenter comparative study.Journal of translational medicine · 2026Article
- Assessment of prognostic stratification in colorectal cancer liver metastases using preoperative CT habitat imaging.Frontiers in oncology · 2026Article
- Predictive value of 18F-FDG PET/CT delta radiomics model for prognosis after neoadjuvant therapy for locally advanced pancreatic cancer.Frontiers in oncology · 2026Article
Corrections and comments
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Authors and funding
12 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The main therapeutic options for colorectal cancer are surgical resection and adjuvant chemotherapy in non-metastatic disease. However, the evaluation of the overall adjuvant chemotherapy benefit in patients with a high risk of recurrence is challenging. Radiological images can represent a source of data that can be analyzed by using automated computer-based techniques, working on numerical information coded within Digital Imaging and Communications in Medicine files: This image numerical analysis has been named "radiomics". Radiomics allows the extraction of quantitative features from radiological images, mainly invisible to the naked eye, that can be further analyzed by artificial intelligence algorithms. Radiomics is expanding in oncology to either understand tumor biology or for the development of imaging biomarkers for diagnosis, staging, and prognosis, prediction of treatment response and diseases monitoring and surveillance. Several efforts have been made to develop radiomics signatures for colorectal cancer patient using computed tomography (CT) images with different aims: The preoperative prediction of lymph node metastasis, detecting
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.