ArticleEuropean journal of nuclear medicine and molecular imaging2011
Evolving role of molecular imaging with PET in detecting and characterizing heterogeneity of cancer tissue at the primary and metastatic sites, a plausible explanation for failed attempts to cure malignant disorders.
Article in European journal of nuclear medicine and molecular imaging, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 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
49 citing papers in PubMed.
- Trial
- Impact of tumor size and tracer uptake heterogeneity in (18)F-FDG PET and CT non-small cell lung cancer tumor delineation.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2011Trial
- The prognostic value of metabolic heterogeneity parameter coefficient of variation (COV) of baselineBMC cancer · 2026Article
- Association analysis of intratumoral metabolic heterogeneity assessed by the hottest lesion based onQuantitative imaging in medicine and surgery · 2025Article
- Models using comprehensive, lesion-level, longitudinal [European journal of nuclear medicine and molecular imaging · 2024Article
- Theranostics with somatostatin receptor antagonists in SCLC: Correlation ofTheranostics · 2024Article
- Spatial and temporal heterogeneity of digestive neuroendocrine neoplasms.Therapeutic advances in medical oncology · 2023Review
- DiffusionCT: Latent Diffusion Model for CT Image Standardization.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- A review on advances inInsights into imaging · 2022Review
- The Contribution of Evolutionary Game Theory to Understanding and Treating Cancer.Dynamic games and applications · 2022Review
- Article
- CT-Based Hand-crafted Radiomic Signatures Can Predict PD-L1 Expression Levels in Non-small Cell Lung Cancer: a Two-Center Study.Journal of digital imaging · 2021Article
- The exploration of quantitative intra-tumoral metabolic heterogeneity in dual-timeAbdominal radiology (New York) · 2021Article
- Article
- Preoperative prediction of regional lymph node metastasis of colorectal cancer based onAnnals of nuclear medicine · 2021Article
- Intra-tumor metabolic heterogeneity of gastric cancer onClinical and experimental medicine · 2021Article
- Reinventing Molecular Imaging with Total-Body PET, Part II: Clinical Applications.PET clinics · 2020Review
- AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics.European journal of nuclear medicine and molecular imaging · 2019Review
- Preparation and Evaluation of ZD2 PeptideACS omega · 2019Article
- Correlation between DCE-MRI radiomics features and Ki-67 expression in invasive breast cancer.Oncology letters · 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
21451997What 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.