Evidence map›Paper›PMID 24003124›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

Diagnosis of tumors during tissue-conserving surgery with integrated autofluorescence and Raman scattering microscopy.

Kenny Kong, Christopher J Rowlands, Sandeep Varma, William Perkins, Iain H Leach, Alexey A Koloydenko, Hywel C Williams, Ioan Notingher

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 1 pooled it
25.3field-weighted citation impact, top 1% of its field
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

92 citing papers in PubMed, 1 synthesis or guideline pooled it, 236 citations in OpenAlex.

  1. Pooled it
  2. Label-free optical biomarker for prostate cancer diagnosis.Molecular medicine (Cambridge, Mass.) · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Hyperspectral oblique plane microscopy enables spontaneous, label-free imaging of biological dynamic processes in live animals.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Opto-Lipidomics of Tissues.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Article

32 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 2 countries.

Kenny KongSchool of Physics and Astronomy, University of Nottingham, Nottingham NG7 2RD, United Kingdom.
Christopher J Rowlands
Sandeep Varma
William Perkins
Iain H Leach
Alexey A Koloydenko
Hywel C Williams
Ioan Notingher
University of Nottingham · GBAdvanced Dermatology · USNottingham University Hospitals NHS Trust · GBRoyal Holloway University of London · GB

Funding

Department of Health FSG004Department of Health II-AR-0209-10012NIAMS NIH HHS II-AR-0209-10012
6 · The paper itself

Abstract

Tissue-conserving surgery is used increasingly in cancer treatment. However, one of the main challenges in this type of surgery is the detection of tumor margins. Histopathology based on tissue sectioning and staining has been the gold standard for cancer diagnosis for more than a century. However, its use during tissue-conserving surgery is limited by time-consuming tissue preparation steps (1-2 h) and the diagnostic variability inherent in subjective image interpretation. Here, we demonstrate an integrated optical technique based on tissue autofluorescence imaging (high sensitivity and high speed but low specificity) and Raman scattering (high sensitivity and high specificity but low speed) that can overcome these limitations. Automated segmentation of autofluorescence images was used to select and prioritize the sampling points for Raman spectroscopy, which then was used to establish the diagnosis based on a spectral classification model (100% sensitivity, 92% specificity per spectrum). This automated sampling strategy allowed objective diagnosis of basal cell carcinoma in skin tissue samples excised during Mohs micrographic surgery faster than frozen section histopathology, and one or two orders of magnitude faster than previous techniques based on infrared or Raman microscopy. We also show that this technique can diagnose the presence or absence of tumors in unsectioned tissue layers, thus eliminating the need for tissue sectioning. This study demonstrates the potential of this technique to provide a rapid and objective intraoperative method to spare healthy tissue and reduce unnecessary surgery by determining whether tumor cells have been removed.

Indexed as

Diagnostic Techniques, SurgicalHistological TechniquesHumansMicroscopyNeoplasmsOptical ImagingSpectrum Analysis, Raman

Identifiers

PMID24003124
PMCPMC3780864
OpenAlexW2163932563

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.