ArticleMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention2006
Tumor therapeutic response and vessel tortuosity: preliminary report in metastatic breast cancer.
Article in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 23 citations in OpenAlex.
- Detection of cervical lymph node metastasis from oral cavity cancer using a non-radiating, noninvasive digital infrared thermal imaging system.Scientific reports · 2018Trial
- Characterization of an Array-Based Dual-Frequency Transducer for Superharmonic Contrast Imaging.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021Article
- Current Development and Applications of Super-Resolution Ultrasound Imaging.Sensors (Basel, Switzerland) · 2021Review
- Quantification of Morphological Features in Non-Contrast-Enhanced Ultrasound Microvasculature Imaging.IEEE access : practical innovations, open solutions · 2020Article
- [Diagnostic test for detection of cervical lymph node metastasis from oral squamous cell carcinoma via infrared thermal imaging].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2019Article
- Background Removal and Vessel Filtering of Noncontrast Ultrasound Images of Microvasculature.IEEE transactions on bio-medical engineering · 2019Article
- Article
- Skeleton-based cerebrovascular quantitative analysis.BMC medical imaging · 2016Article
- In vivo X-ray digital subtraction and CT angiography of the murine cerebrovasculature using an intra-arterial route of contrast injection.AJNR. American journal of neuroradiology · 2012Article
- Article
- Algorithm-based method for detection of blood vessels in breast MRI for development of computer-aided diagnosis.Journal of magnetic resonance imaging : JMRI · 2009Article
- Blood vessel morphologic changes depicted with MR angiography during treatment of brain metastases: a feasibility study.Radiology · 2007Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
No current non-invasive method is capable of assessing the efficacy of brain tumor therapy early during treatment. We outline an approach that evaluates tumor activity via statistical analysis of vessel shape using vessels segmented from MRA. This report is the first to describe the changes in vessel shape that occur during treatment of metastatic brain tumors as assessed by sequential MRA. In this preliminary study of 16 patients undergoing treatment for metastatic breast cancer we conclude that vessel shape may predict tumor response several months in advance of traditional methods.
Indexed as
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.