ArticleEuropean radiology2018
The changing face of cancer diagnosis: From computational image analysis to systems biology.
Article in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- Radiomic signature of the FOWARC trial predicts pathological response to neoadjuvant treatment in rectal cancer.Journal of translational medicine · 2021Trial
- Development and Cross-Institutional Validation of a Comprehensive Machine Learning Model Predicting Response to Neoadjuvant Therapy for Rectal Cancer.Cancer management and research · 2025Article
- Wavelets-Based Texture Analysis of Post Neoadjuvant Chemoradiotherapy Magnetic Resonance Imaging as a Tool for Recognition of Pathological Complete Response in Rectal Cancer, a Retrospective Study.Journal of clinical medicine · 2024Article
- Quantitative texture analysis using machine learning for predicting interpretable pulmonary perfusion from non-contrast computed tomography in pulmonary embolism patients.Respiratory research · 2024Article
- Multiparametric MRI-based radiomics nomogram for preoperative prediction of lymphovascular invasion and clinical outcomes in patients with breast invasive ductal carcinoma.European radiology · 2022Article
- MRI-Based Radiomics Models to Discriminate Hepatocellular Carcinoma and Non-Hepatocellular Carcinoma in LR-M According to LI-RADS Version 2018.Diagnostics (Basel, Switzerland) · 2022Article
- Role of MRI‑based radiomics in locally advanced rectal cancer (Review).Oncology reports · 2022Review
- A correlation analysis of sacrococcygeal chordoma imaging and clinical characteristics with the prognostic factors.Frontiers in oncology · 2022Article
- Emerging methods in radiology.Der Radiologe · 2020Review
- Implementation of eHealth and AI integrated diagnostics with multidisciplinary digitized data: are we ready from an international perspective?European radiology · 2020Article
- [Artificial intelligence : What do urologists need to know?]Der Urologe. Ausg. A · 2020Review
- Preoperative Prediction of Extramural Venous Invasion in Rectal Cancer: Comparison of the Diagnostic Efficacy of Radiomics Models and Quantitative Dynamic Contrast-Enhanced Magnetic Resonance Imaging.Frontiers in oncology · 2020Article
- Modern MR Imaging Technology in Rectal Cancer; There Is More Than Meets the Eye.Frontiers in oncology · 2020Review
- Predicting pathological complete response by comparing MRI-based radiomics pre- and postneoadjuvant radiotherapy for locally advanced rectal cancer.Cancer medicine · 2019Article
- Clinical-radiomics nomograms for pre-operative differentiation of sacral chordoma and sacral giant cell tumor based on 3D computed tomography and multiparametric magnetic resonance imaging.The British journal of radiology · 2019Article
- Differentiation of clear cell and non-clear cell renal cell carcinomas by all-relevant radiomics features from multiphase CT: a VHL mutation perspective.European radiology · 2019Article
- The beginning of the end for conventional RECIST - novel therapies require novel imaging approaches.Nature reviews. Clinical oncology · 2019Review
- Radiomics analysis of multiparametric MRI for prediction of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.European radiology · 2019Article
- A preclinical micro-computed tomography database including 3D whole body organ segmentations.Scientific data · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
ᅟ: KEY POINTS: • Radiomics and radiogenomics will merge radiology, nuclear medicine, pathology and laboratory medicine. • Automation of image data analysis will change the daily routine work. • Image-guided therapy and handling complex radiogenomic data will play a major role.
Indexed as
Identifiers
29488085What OpenQuestion holds
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.