Evidence map›Paper›PMID 22855694›Full record

ArticleNorth American journal of medicine & science2012

Pathology Imaging Informatics for Clinical Practice and Investigative and Translational Research.

Evita T Sadimin, David J Foran

Abstract read
In one paragraph

Article in North American journal of medicine & science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Bayesian Landmark-based Shape Analysis of Tumor Pathology Images.Journal of the American Statistical Association · 2024
    Article
  2. Article
  3. Article
  4. Pathology imaging informatics for quantitative analysis of whole-slide images.Journal of the American Medical Informatics Association : JAMIA
    Review
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

2 authors.

Evita T SadiminDepartment of Pathology, Robert Wood Johnson Medical School, New Brunswick, NJ.
David J Foran

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Chang S Chan · 1997 to 2026
$94.5M
Image Mining for Comparative Analysis of Expression Patterns in Tissue MicroarrayR01LM009239 · NLM · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI FORAN, DAVID J, SALTZ, JOEL H. · 2007 to 2016
$4.5M
Informatics for Integrative Brain Tumor Whole Slide AnalysisR01LM011119 · NLM · STATE UNIVERSITY NEW YORK STONY BROOK · PI FORAN, DAVID J, SALTZ, JOEL H. · 2011 to 2014
$1.8M
Collaborative Systems for Analyzing Tissue MicroarraysR01CA156386 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI FORAN, DAVID J · 2010 to 2014
$1.7M
NCI NIH HHS P30 CA072720NCI NIH HHS R01 CA156386NLM NIH HHS R01 LM009239NLM NIH HHS R01 LM011119
6 · The paper itself

Abstract

Pathologists routinely interpret gross and microscopic specimens to render diagnoses and to engage in a broad spectrum of investigative research. Multiple studies have demonstrated that imaging technologies have progressed to a level at which properly digitized specimens provide sufficient quality comparable to the traditional glass slides examinations. Continued advancements in this area will have a profound impact on the manner in which pathology is conducted from this point on. Several leading institutions have already undertaken ambitious projects directed toward digitally imaging, archiving, and sharing pathology specimens. As a result of these advances, the use of informatics in diagnostic and investigative pathology applications is expanding rapidly. In addition, the advent of novel technologies such as multispectral imaging makes it possible to visualize and analyze imaged specimens using multiple wavelengths simultaneously. As these powerful technologies become increasingly accepted and adopted, the opportunities for gaining new insight into the underlying mechanisms of diseases as well as the potential for discriminating among subtypes of pathologies are growing accordingly.

Identifiers

PMID22855694
PMCPMC3407842

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.