Evidence map›Paper›PMID 20967434›Full record

ReviewUrological research2010

Micro-computed tomography for analysis of urinary calculi.

James C Williams, James A McAteer, Andrew P Evan, James E Lingeman

Abstract readReview
PubMed Publisher
In one paragraph

Review in Urological research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
–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

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Trial
  3. Article
  4. Article
  5. Layered structure of sialoliths compared with tonsilloliths and antroliths.Journal of the Korean Association of Oral and Maxillofacial Surgeons · 2024
    Article
  6. Article
  7. Kidney stone formation in a novel murine model of polycystic kidney disease.American journal of physiology. Renal physiology · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Journal of endourology · 2020
    Article
  13. Article
  14. Journal of endourology · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

4 authors.

James C WilliamsDepartment of Anatomy and Cell Biology, Indiana University School of Medicine, 635 Barnhill Drive MS 5055Y, Indianapolis, IN 46202-5120, USA. jwillia3@iupui.edu
James A McAteer
Andrew P Evan
James E Lingeman

Funding

The Structural Basis of Kidney Stone FragilityR01DK059933 · NIDDK · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI WILLIAMS, JAMES C · 2004 to 2011
$2.4M
SkyScan 1172 High-resolution desk-top micro-CT systemS10RR023710 · NCRR · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI WILLIAMS, JAMES C · 2007 to 2007
$297k
NCRR NIH HHS S10 RR023710NIDDK NIH HHS P01 DK565788NIDDK NIH HHS R01 DK059933NIDDK NIH HHS R01DK059933
6 · The paper itself

Abstract

Micro-computed tomographic (micro CT) imaging has become an important tool for the study of urinary stones. The method involves the collection of a series of X-ray pictures of the stone as it is rotated, and the internal structure of the stone is computationally reconstructed from these pictures. The entire process takes from 30 min to an hour with present technology. Resulting images of the stone provide unprecedented detail of the mineral composition and its morphological arrangement within the stone. For smaller stones, reconstructions can easily have voxel sizes of <5 μm, making this a truly microscopic view of the stone. The micro CT reconstructions can be viewed with any of a number of existing methods for visualizing the structure of both the surface and internal features of the stone. Because the entire process is non-destructive, traditional analysis methods--such as dissection and spectroscopic examination of portions of the stones--can also be performed. Micro CT adds value to traditional methods by identifying regions of the stone to be analyzed, and also with its ability to scan a cluster of stones or stone fragments at once. Finally, micro CT has become a powerful tool to help investigate events in stone formation that distinguish different kinds of stone disease.

Indexed as

HumansTomography, X-Ray ComputedUrinary Calculi

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.