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36/100

✓ Peer-reviewed alzhub usefulness score 36 out of 100. Vascular contributions

Topic: Risk, prevention and care in population studies

Plain-language summary

Magnetic resonance tractography based on diffusion-tensor imaging was first introduced to the medical imaging community a decade ago. It has been successfully applied to a number of neurological conditions and most commonly used for preoperative planning for brain tumors and vascular malformations. Areas of active research include stroke, and dementia, where it provides valuable information not available through other imaging techniques. This technique was first introduced using the deterministic streamline algorithm and has evolved to use more sophisticated probabilistic approaches. We will review the past, present, and future of tractography, focusing primarily on its clinical applications.

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

APA 7th

Yamada, K., Sakai, K., Akazawa, K., Yuen, S., & Nishimura, T. (2009). MR tractography: a review of its clinical applications. Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine. https://doi.org/10.2463/mrms.8.165

Vancouver

Yamada K, Sakai K, Akazawa K, Yuen S, Nishimura T. MR tractography: a review of its clinical applications. Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine. 2009. doi:10.2463/mrms.8.165. PMID: 20035125.

BibTeX

@article{yamada2009-20035125,
  author  = {Yamada, K. and Sakai, K. and Akazawa, K. and Yuen, S. and Nishimura, T.},
  title   = {{MR tractography: a review of its clinical applications}},
  journal = {Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine},
  year    = {2009},
  doi     = {10.2463/mrms.8.165},
  pmid    = {20035125},
  url     = {https://doi.org/10.2463/mrms.8.165}
}

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How to read this study

Design: this is a narrative review. It summarises a field without a fixed search method, so it shows how authors read the evidence rather than measuring it. Use it to find the primary studies, not as a result in itself.
Size: the record gives no participant count. Look for one in the original before trusting a pattern.
Effect: the record gives no effect size, so the summary above cannot say how large any difference was.

What the evidence grade means here

This page is graded low. alzhub.org assigns the grade automatically from keywords in the abstract, not from reading the paper. Low means the abstract matched neither pattern. It is the default label, and it does not mean the work is poor; many sound lab and imaging papers land here. It can add at most 5 of the 100 points in the study score, and it is a label about design, not a verdict on whether the findings are true.

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Key findings

Magnetic resonance tractography based on diffusion-tensor imaging was first introduced to the medical imaging community a decade ago.
It has been successfully applied to a number of neurological conditions and most commonly used for preoperative planning for brain tumors and vascular malformations.
Areas of active research include stroke, and dementia, where it provides valuable information not available through other imaging techniques.
This technique was first introduced using the deterministic streamline algorithm and has evolved to use more sophisticated probabilistic approaches.
We will review the past, present, and future of tractography, focusing primarily on its clinical applications.

Study details

Evidence strengthLow

How this study scored 36/100

Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomized / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record and multicenter collaboration, so those were left out: it earned 21 of the 58 points we could judge it on, which is 36 out of 100.

Component	Points	Why
Journal tier	7 / 10	Tier 3 — peer-reviewed journal (Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine)
Journal's citation record	— / 4	No journal record from OpenAlex — left out of this score
Study design	0 / 12	No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence	1 / 5	Rated “low” in our summary
Peer-review validation	10 / 10	Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent	1 / 5	2009 — within 20 year(s) of the newest study here
Sample size	0 / 4	Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported	0 / 3	No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people	0 / 3	Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomized / blinded	0 / 2	No randomization or blinding stated — scores zero (not stated in the record — scored 0)
Times cited	— / 7	No citation count (not found in OpenAlex) — left out of this score
Citations per year	— / 5	No citation count or no year — left out of this score
Impact for its field and year	— / 6	No field-weighted citation impact (OpenAlex has none yet) — left out of this score
Cited by studies here	— / 6	Not yet checked against this library's citation graph — left out of this score
Still being cited	— / 4	No yearly citation counts — left out of this score
Senior author's track record	— / 4	Senior author's record not available — left out of this score
Institution's track record	— / 3	No institution listed in OpenAlex — left out of this score
Multicenter collaboration	— / 3	Institutions not listed — left out of this score
Indexed in PubMed	2 / 2	Indexed in PubMed (PMID 20035125)
Free to read	0 / 2	Behind a paywall — scores zero
Points	21 / 58	Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 21 of the 58 points we could judge it on is 36 out of 100.
Total	36 / 100	—

What each of these 20 components measures, and what this score is not →

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