Evidence map›Paper›PMID 27141319›Full record

ArticleJournal of pathology informatics2016

Pathology interface for the molecular analysis of tissue by mass spectrometry.

Jeremy L Norris, Tina Tsui, Danielle B Gutierrez, Richard M Caprioli

Abstract read
In one paragraph

Article in Journal of pathology informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The PathLink Acquired Gestational Tissue Bank: Feasibility of Project PLACENTA.Journal of reproductive biotechnology & fertility · 2018
    Article
  6. 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.

Jeremy L NorrisDepartment of Biochemistry, National Research Resource for Imaging Mass Spectrometry, Mass Spectrometry Research Center, Vanderbilt University School of Medicine, Nashville, Tennessee 37240, USA.
Tina TsuiDepartment of Biochemistry, National Research Resource for Imaging Mass Spectrometry, Mass Spectrometry Research Center, Vanderbilt University School of Medicine, Nashville, Tennessee 37240, USA.
Danielle B GutierrezDepartment of Biochemistry, National Research Resource for Imaging Mass Spectrometry, Mass Spectrometry Research Center, Vanderbilt University School of Medicine, Nashville, Tennessee 37240, USA.
Richard M CaprioliDepartment of Biochemistry, National Research Resource for Imaging Mass Spectrometry, Mass Spectrometry Research Center, Vanderbilt University School of Medicine, Nashville, Tennessee 37240, USA.

Funding

Training (pp 214-245)P41GM103391 · NIGMS · VANDERBILT UNIVERSITY · PI REYZER, MICHELLE L · 2012 to 2020
$17.7M
NIGMS NIH HHS P41 GM103391
6 · The paper itself

Abstract

backgroundImaging mass spectrometry (IMS) generates molecular images directly from tissue sections to provide better diagnostic insights and expand the capabilities of clinical anatomic pathology. Although IMS technology has matured over recent years, the link between microscopy imaging currently used by pathologists and MS-based molecular imaging has not been established.

methodsWe adapted the Vanderbilt University Tissue Core workflow for IMS into a web-based system that facilitates remote collaboration. The platform was designed to perform within acceptable web response times for viewing, annotating, and processing high resolution microscopy images.

resultsWe describe a microscopy-driven approach to tissue analysis by IMS.

conclusionThe Pathology Interface for Mass Spectrometry is designed to provide clinical access to IMS technology and deliver enhanced diagnostic value.

Indexed as

Diagnosticsimaging mass spectrometrymolecular imaging

Identifiers

PMID27141319
PMCPMC4837791

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.