ArticleBulletin of mathematical biology2015
Estimating Tumor Growth Rates In Vivo.
Article in Bulletin of mathematical biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed.
- Role of 3D volume growth rate for drug activity evaluation in meningioma clinical trials: the example of the CEVOREM study.Neuro-oncology · 2021Trial
- Machine learning-based prediction of breast cancer growth rate in vivo.British journal of cancer · 2019Trial
- Self-assemblies from prodrugs composed of antimicrobial peptides: a revolution in local lung cancer treatment, with microbiota as a main actor.Drug delivery and translational research · 2026Article
- Identification of cycling regulatory T cell precursors as conductors of immune escape during breast carcinoma progression.Cancer cell · 2026Article
- MRI-derived tumor volume vs. pathological tumor diameter: a comparative study of prognostic value for disease-free survival in multifocal/multicentric breast cancer.Frontiers in oncology · 2026Article
- Practical Pharmacokinetic-Pharmacodynamic Models in Oncology.Pharmaceutics · 2025Review
- Evolutionary unpredictability in cancer model systems.Scientific reports · 2025Article
- A stochastic modelling framework for cancer patient trajectories: combining tumour growth, metastasis, and survival.Journal of mathematical biology · 2025Article
- Mathematic Modeling of Tumor Growth During [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025Article
- Radiological progression of medulloblastoma from non-existence to symptomatic mass in 42 days: Case report, kinetic analysis, and literature review.Brain & spine · 2025Article
- The prognostic potential of mammographic growth rate of invasive breast cancer in the Nijmegen breast cancer screening cohort.Journal of medical screening · 2024Article
- Article
- Synthesis, characterization and anti-breast cancer potential of an incensole acetate nanoemulsion fromRSC advances · 2023Article
- Growth exponents reflect evolutionary processes and treatment response in brain metastases.NPJ systems biology and applications · 2023Article
- SMITH: spatially constrained stochastic model for simulation of intra-tumour heterogeneity.Bioinformatics (Oxford, England) · 2023Article
- Inferring parameters of cancer evolution in chronic lymphocytic leukemia.PLoS computational biology · 2022Article
- A global method for fast simulations of molecular dynamics in multiscale agent-based models of biological tissues.iScience · 2022Article
- Monocytes engineered with iSNAP inhibit human B-lymphoma progression.Bioengineering & translational medicine · 2022Article
- Tumour volume distribution can yield information on tumour growth and tumour control.Zeitschrift fur medizinische Physik · 2022Article
- Estimating Distributions of Breast Cancer Onset and Growth in a Swedish Mammography Screening Cohort.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022Article
Corrections and comments
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2 authors.
Funding
Abstract
In this paper, we develop methods for inferring tumor growth rates from the observation of tumor volumes at two time points. We fit power law, exponential, Gompertz, and Spratt’s generalized logistic model to five data sets. Though the data sets are small and there are biases due to the way the samples were ascertained, there is a clear sign of exponential growth for the breast and liver cancers, and a 2/3’s power law (surface growth) for the two neurological cancers.
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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.