Evidence map›Paper›PMID 24053455›Full record

ArticleThe journal of physical chemistry. B2013

Infrared metrics for fixation-free liver tumor detection.

Zhaomin Chen, Ryan Butke, Barrie Miller, Charles L Hitchcock, Heather C Allen, Stephen P Povoski, Edward W Martin, James V Coe

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2013. 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
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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

8 authors.

Zhaomin ChenDepartment of Chemistry and Biochemistry, The Ohio State University , 100 West 18th Avenue, Columbus , Ohio 43210-1173, United States.
Ryan Butke
Barrie Miller
Charles L Hitchcock
Heather C Allen
Stephen P Povoski
Edward W Martin
James V Coe

Funding

Cancer Margin Detection using Infrared Spectroscopy and Plasmon ResonanceR21CA167403 · NCI · OHIO STATE UNIVERSITY · PI ALLEN, HEATHER CECILE, COE, JAMES V. · 2012 to 2013
$345k
NCI NIH HHS R21 CA167403
6 · The paper itself

Abstract

Infrared (IR) spectroscopic imaging of human liver tissue slices has been used to identify and characterize liver tumors. Liver tissue, containing a liver metastasis of breast origin (mucinous carcinoma), was surgically removed from a consenting patient and frozen without formalin fixation or dehydration procedures, so that lipids and water remained in the tissues. A set of IR metrics (ratios of various IR peaks) was determined for tumors in fixation-free liver tissues. K-means cluster analysis was used to tell tumor from nontumor. In this case, there was a large reduction in lipid content upon going from nontumor to tumor tissue, and a well-resolved IR spectrum of nontumor liver lipid was obtained and analyzed. These IR metrics may someday guide work on IR spectroscopic diagnostics on patients in the operating room. This work also suggests utility for these methods beyond the identification of liver tumors, perhaps in the study of liver lipids.

Indexed as

HumansLiver NeoplasmsSoftwareSpectroscopy, Fourier Transform Infrared

Identifiers

PMID24053455
PMCPMC3875153

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.