ReviewBritish journal of cancer2014
Improving tumour heterogeneity MRI assessment with histograms.
Review in British journal of cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 273 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.
Diffusion Magnetic Resonance Imaging Using ADC (Apparent Diffusion Coefficient) Histograms in the Evaluation of Adnexal Tumor Aggressiveness
Pilot Study: Monitoring of Breast Cancers Treated by Neoadjuvant Therapy Via Diffusion-weighted Magnetic Resonance Imaging
Who cites it
273 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Diagnostic accuracy of machine learning-based magnetic resonance imaging models in breast cancer classification: a systematic review and meta-analysis.World journal of surgical oncology · 2025Pooled it
- Systematic review: radiomics for the diagnosis and prognosis of hepatocellular carcinoma.Alimentary pharmacology & therapeutics · 2021Pooled it
- DCE-MRI histogram analysis for predicting survival in patients with epithelial ovarian carcinoma.Abdominal radiology (New York) · 2026Article
- Apparent diffusion coefficient histogram parameters of the whole tumor based on whole-body magnetic resonance imaging can better characterize the tumor burden of multiple myeloma and predict survival prognosis.Quantitative imaging in medicine and surgery · 2026Article
- MRI-based volumetric and histogram analysis of parotid and submandibular salivary glands in type 2 diabetes mellitus: a retrospective study.BMC oral health · 2026Article
- The role of apparent diffusion coefficient histogram analysis in improving O-RADS magnetic resonance imaging classification of adnexal lesions: a retrospective diagnostic accuracy study.Translational cancer research · 2026Article
- Development and validation: a whole-tumor histogram model based on intravoxel incoherent motion diffusion-weighted imaging for diagnosing tumor deposits in rectal cancer.Abdominal radiology (New York) · 2026Article
- Magnetic resonance imaging signal variation for the effective quantitative evaluation of treatment response to neoadjuvant immunotherapy of osteosarcoma: a comparative study with Response Evaluation Criteria in Solid Tumors version 1.1.Quantitative imaging in medicine and surgery · 2026Article
- Preoperative prediction of tumor budding grade in rectal cancer by combining APT histogram analysis and ADC MRI.European radiology experimental · 2026Article
- Impact of deep learning image reconstruction on ADC quantification and histogram metrics: a phantom study.European radiology experimental · 2026Article
- Pre-treatment subventricular zone perfusion asymmetry predicts vertical recurrence in glioblastoma.BMC medical imaging · 2026Article
- Histogram Analysis and Heterogeneous Radial Changes Using ADC Map Images in Metastatic Brain Tumors for Dose Painting Intent.Advanced biomedical research · 2026Article
- Association between histogram parameters of T2 weighted MRI data, WHO grade, tumor proliferation index and selected molecular markers in low-grade glioma.Frontiers in radiology · 2026Article
- Potential Role of T2-Weighted Kurtosis in Improving Response Prediction of Locally Advanced Rectal Cancer as Additional Tool Gained from Standard MRI Examination.Biomedicines · 2025Article
- Role of repulsive guidance signaling and GPR180 in pediatric low-grade glioma infiltration.NPJ precision oncology · 2025Article
- Article
- Multiplexed sensitivity encoding diffusion-weighted imaging in the assessment of meningiomas: improving the image quality, grading accuracy, and proliferative activity evaluation.Quantitative imaging in medicine and surgery · 2025Article
- Intravoxel incoherent motion-derived histogram analysis for quantitative evaluation of tumor budding and prognostic stratification in rectal cancer.European radiology · 2025Article
- MRI Radiomics for Predicting the Diffuse Type of Tenosynovial Giant Cell Tumor: An Exploratory Study.Diagnostics (Basel, Switzerland) · 2025Article
- Pretreatment intravoxel incoherent motion histogram metrics and clinical characteristics for prediction of perineural invasion status and survival in patients with rectal cancer.Insights into imaging · 2025Article
213 more citing papers are in PubMed but not listed here.
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
By definition, tumours are heterogeneous. They are defined by marked differences in cells, microenvironmental factors (oxygenation levels, pH, VEGF, VPF and TGF-α) metabolism, vasculature, structure and function that in turn translate into heterogeneous drug delivery and therapeutic outcome. Ways to estimate quantitatively tumour heterogeneity can improve drug discovery, treatment planning and therapeutic responses. It is therefore of paramount importance to have reliable and reproducible biomarkers of cancerous lesions' heterogeneity. During the past decade, the number of studies using histogram approaches increased drastically with various magnetic resonance imaging (MRI) techniques (DCE-MRI, DWI, SWI etc.) although information on tumour heterogeneity remains poorly exploited. This fact can be attributed to a poor knowledge of the available metrics and of their specific meaning as well as to the lack of literature references to standardised histogram methods with which surrogate markers of heterogeneity can be compared. This review highlights the current knowledge and critical advances needed to investigate and quantify tumour heterogeneity. The key role of imaging techniques and in particular the key role of MRI for an accurate investigation of tumour heterogeneity is reviewed with a particular emphasis on histogram approaches and derived methods.
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What 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.