ArticleMagnetic resonance in medicine2012
Quantitative analysis of tumor burden in mouse lung via MRI.
Article in Magnetic resonance in medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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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
10 citing papers in PubMed, 12 citations in OpenAlex.
- 3D whole body preclinical micro-CT database of subcutaneous tumors in mice with annotations from 3 annotators.Scientific data · 2024Article
- Imaging at the nexus: how state of the art imaging techniques can enhance our understanding of cancer and fibrosis.Journal of translational medicine · 2024Review
- NRF2 Activation Promotes Aggressive Lung Cancer and Associates with Poor Clinical Outcomes.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021Article
- Assessment of mustard vesicant lung injury and anti-TNF-α efficacy in rodents using live-animal imaging.Annals of the New York Academy of Sciences · 2020Article
- FolamiRs: Ligand-targeted, vehicle-free delivery of microRNAs for the treatment of cancer.Science translational medicine · 2017Article
- Automatic segmentation of subcutaneous mouse tumors by multiparametric MR analysis based on endogenous contrast.Magma (New York, N.Y.) · 2015Article
- Detection of lung tumors in mice using a 1-tesla compact magnetic resonance imaging system.PloS one · 2014Article
- Contrast agents for quantitative microCT of lung tumors in mice.Comparative medicine · 2013Article
- Primed infusion with delayed equilibrium of Gd.DTPA for enhanced imaging of small pulmonary metastases.PloS one · 2013Article
- Quantitative monitoring of mouse lung tumors by magnetic resonance imaging.Nature protocols · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Lung cancer is the leading cause of cancer death in the United States. Despite recent advances in screening protocols, the majority of patients still present with advanced or disseminated disease. Preclinical rodent models provide a unique opportunity to test novel therapeutic drugs for targeting lung cancer. Respiratory-gated MRI is a key tool for quantitatively measuring lung-tumor burden and monitoring the time-course progression of individual tumors in mouse models of primary and metastatic lung cancer. However, quantitative analysis of lung-tumor burden in mice by MRI presents significant challenges. Herein, a method for measuring tumor burden based upon average lung-image intensity is described and validated. The method requires accurate lung segmentation; its efficiency and throughput would be greatly aided by the ability to automatically segment the lungs. A technique for automated lung segmentation in the presence of varying tumor burden levels is presented. The method includes development of a new, two-dimensional parametric model of the mouse lungs and a multi-faceted cost function to optimally fit the model parameters to each image. Results demonstrate a strong correlation (0.93), comparable with that of fully manual expert segmentation, between the automated method's tumor-burden metric and the tumor burden measured by lung weight.
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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.