Evidence map›Paper›PMID 24374994›Full record

ArticleJournal of neuro-oncology2014

Advanced MR diffusion tensor imaging and perfusion weighted imaging of intramedullary tumors and tumor like lesions in the cervicomedullary junction region and the cervical spinal cord.

Xiang Liu, Wei Tian, Balasubramanya Kolar, Rui Hu, Yuqing Huang, Jason Huang, Sven Ekholm

Abstract read
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Article in Journal of neuro-oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xiang LiuUniversity of Rochester, Rochester, NY, USA, xiang_liu@urmc.rochester.edu.
Wei Tian
Balasubramanya Kolar
Rui Hu
Yuqing Huang
Jason Huang
Sven Ekholm

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differential diagnosis between intramedullary tumors and tumor-like lesions (TLL) in the cervicomedullary junction region and cervical spinal cord is important, sometimes clinical dilemma on conventional MR imaging and empirical treatment. We evaluated advanced MR diffusion tensor imaging (DTI) and perfusion weighted imaging (PWI) in 25 patients, including 12 with intramedullary tumors and 13 with TLL in the cervicomedullary junction region and cervical spinal cord. We found that mean fractional anisotropy value of tumors was significantly lower than the value found in TLL, and the mean trace apparent diffusion coefficient and peak height values of tumors were significantly higher (P < 0.05). The receiver operating characteristic curve analysis showed that peak height was better than any of the other imaging parameters, with a sensitivity of 90.9% and specificity of 80% using a cutoff value of 4.523 to differentiate between tumors and TLL. In conclusion, the MR DTI and PWI could be useful in differentiating between intramedullary tumors and TLL in the cervicomedullary junction region and cervical spinal cord.

Indexed as

Diffusion Tensor ImagingAdolescentAdultAnisotropyBrain Stem NeoplasmsCervical VertebraeChildChild, PreschoolFemaleFunctional LateralityHumansMagnetic Resonance AngiographyMaleMedulla OblongataMiddle AgedNerve Fibers, Myelinated

Identifiers

What OpenQuestion holds

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Registered trials

None linked

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.