Evidence map›Paper›PMID 25664390›Full record

ArticleLaboratory investigation; a journal of technical methods and pathology2015

Classification of malignant and benign tumors of the lung by infrared spectral histopathology (SHP).

Ali Akalin, Xinying Mu, Mark A Kon, Ayşegül Ergin, Stan H Remiszewski, Clay M Thompson, Dan J Raz, Max Diem, Benjamin Bird, Miloš Miljković

Erratum issuedAbstract read
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In one paragraph

Article in Laboratory investigation; a journal of technical methods and pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Utility of Raman Spectroscopy in Pulmonary Medicine.Advances in respiratory medicine · 2024
    Review
  3. Roadmap on optical sensors.Journal of optics (2010) · 2024
    Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Roadmap on optical sensors.Journal of optics (2010) · 2017
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Ali AkalinDepartment of Pathology, University of Massachusetts Medical School, Worcester, MA, USA.
Xinying Mu1] Department of Mathematics and Statistics and Program in Bioinformatics, Boston University, Boston, MA, USA [2] Cireca Theranostics, LLC, Cambridge, MA, USA.
Mark A KonDepartment of Mathematics and Statistics and Program in Bioinformatics, Boston University, Boston, MA, USA.
Ayşegül ErginCireca Theranostics, LLC, Cambridge, MA, USA.
Stan H RemiszewskiCireca Theranostics, LLC, Cambridge, MA, USA.
Clay M Thompson1] Cireca Theranostics, LLC, Cambridge, MA, USA [2] Creative Creek, LLC, Camano Island, WA, USA.
Dan J RazDivision of Thoracic Surgery, City of Hope Medical Center, Duarte, CA, USA.
Max Diem1] Cireca Theranostics, LLC, Cambridge, MA, USA [2] Laboratory for Spectral Diagnosis, Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA, USA.
Benjamin Bird
Miloš Miljković

Funding

Oncology Research Career Development ProgramK12CA001727 · NCI · CITY OF HOPE NATIONAL MEDICAL CENTER · PI MORTIMER, JOANNE E. · 1992 to 2024
$14.6M
Detection of Cancer in Lymph Nodes by Spectral ImagingR01CA111330 · NCI · NORTHEASTERN UNIVERSITY · PI DIEM, MAX · 2005 to 2007
$1.0M
NCI NIH HHS 5K12CA001727-20NCI NIH HHS CA111330
6 · The paper itself

Abstract

We report results of a study utilizing a novel tissue classification method, based on label-free spectral techniques, for the classification of lung cancer histopathological samples on a tissue microarray. The spectral diagnostic method allows reproducible and objective classification of unstained tissue sections. This is accomplished by acquiring infrared data sets containing thousands of spectra, each collected from tissue pixels ∼6 μm on edge; these pixel spectra contain an encoded snapshot of the entire biochemical composition of the pixel area. The hyperspectral data sets are subsequently decoded by methods of multivariate analysis that reveal changes in the biochemical composition between tissue types, and between various stages and states of disease. In this study, a detailed comparison between classical and spectral histopathology is presented, suggesting that spectral histopathology can achieve levels of diagnostic accuracy that is comparable to that of multipanel immunohistochemistry.

Indexed as

Histological TechniquesHumansLung NeoplasmsMultivariate AnalysisSpectrophotometry, InfraredTissue Array Analysis

Identifiers

PMID25664390

What OpenQuestion holds

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Registered trials

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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.