ArticleDrug delivery and translational research2012
Image-guided drug delivery in lung cancer.
Article in Drug delivery and translational research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed, 2 citations in OpenAlex.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung cancer continues to be the number one cause of cancer-related deaths in the USA. Early identification of the disease, availability of more effective drugs, and improved delivery of such drugs specifically to cancer cells are needed to decrease lung cancer-associated morbidity and mortality. The concept of image-guided drug delivery (IGDD), which envisions the utilization of imaging techniques for quantitative assessments of tumor-targeted drug delivery and therapeutic response, has the potential to make a significant impact in lung cancer. While the anatomic and physiological features of the lung pose distinct problems for imaging drug delivery, several new techniques are emerging that have the potential to overcome these problems. X-ray is a routinely used technique for diagnosing lung cancer; however, positron emission tomography (PET) and magnetic resonance imaging (MRI) are complementary approaches. PET- and MRI-based techniques (such as functional MRI) offer the possibility of imaging the delivery of specific molecules to cancer tissues in the lung. This paper reviews fundamentals of imaging with an emphasis on MRI and to some extent PET, since it will be argued that these techniques are the most promising for development in IGDD for lung cancer. Finally, key literature contributions will be highlighted, which exemplify the current successes in this area.
Identifiers
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.