Evidence map›Paper›PMID 35597783›Full record

ArticleScientific reports2022

Indocyanine green fluorescence image processing techniques for breast cancer macroscopic demarcation.

Maria Leiloglou, Martha S Kedrzycki, Vadzim Chalau, Nicolas Chiarini, Paul T R Thiruchelvam, Dimitri J Hadjiminas, Katy R Hogben, Faiza Rashid, Rathi Ramakrishnan, Ara W Darzi and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Effects of OACS applied bio materials · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Feasibility of indocyanine green (ICG) fluorescence inPathology oncology research : POR · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. 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

12 authors.

Maria Leiloglou *Hamlyn Centre, Institute of Global Health Innovation, Imperial College London, London, UK. maria.leiloglou16@imperial.ac.uk.
Martha S Kedrzycki *Hamlyn Centre, Institute of Global Health Innovation, Imperial College London, London, UK.
Vadzim ChalauHamlyn Centre, Institute of Global Health Innovation, Imperial College London, London, UK.
Nicolas ChiariniDepartment of Surgery and Cancer, Imperial College London, London, UK.
Paul T R ThiruchelvamDepartment of Surgery and Cancer, Imperial College London, London, UK.
Dimitri J HadjiminasDepartment of Breast Surgery, Charing Cross Hospital, Imperial College Healthcare NHS Trust, London, UK.
Katy R HogbenDepartment of Breast Surgery, Charing Cross Hospital, Imperial College Healthcare NHS Trust, London, UK.
Faiza RashidDepartment of Histopathology, Charing Cross Hospital, Imperial College Healthcare NHS Trust, London, UK.
Rathi RamakrishnanDepartment of Histopathology, Charing Cross Hospital, Imperial College Healthcare NHS Trust, London, UK.
Ara W DarziHamlyn Centre, Institute of Global Health Innovation, Imperial College London, London, UK.
Daniel R LeffHamlyn Centre, Institute of Global Health Innovation, Imperial College London, London, UK.
Daniel S ElsonHamlyn Centre, Institute of Global Health Innovation, Imperial College London, London, UK.

Funding

Cancer Research UKDepartment of HealthMedical Research Council MC_PC_18050Wellcome Trust 208857/Z/17/Z
6 · The paper itself

Abstract

Re-operation due to disease being inadvertently close to the resection margin is a major challenge in breast conserving surgery (BCS). Indocyanine green (ICG) fluorescence imaging could be used to visualize the tumor boundaries and help surgeons resect disease more efficiently. In this work, ICG fluorescence and color images were acquired with a custom-built camera system from 40 patients treated with BCS. Images were acquired from the tumor in-situ, surgical cavity post-excision, freshly excised tumor and histopathology tumour grossing. Fluorescence image intensity and texture were used as individual or combined predictors in both logistic regression (LR) and support vector machine models to predict the tumor extent. ICG fluorescence spectra in formalin-fixed histopathology grossing tumor were acquired and analyzed. Our results showed that ICG remains in the tissue after formalin fixation. Therefore, tissue imaging could be validated in freshly excised and in formalin-fixed grossing tumor. The trained LR model with combined fluorescence intensity (pixel values) and texture (slope of power spectral density curve) identified the tumor's extent in the grossing images with pixel-level resolution and sensitivity, specificity of 0.75 ± 0.3, 0.89 ± 0.2.This model was applied on tumor in-situ and surgical cavity (post-excision) images to predict tumor presence.

Indexed as

Breast NeoplasmsIndocyanine GreenFemaleFluorescenceFormaldehydeHumansMargins of ExcisionMastectomy, SegmentalOptical ImagingFormaldehydeIndocyanine Green

Identifiers

PMID35597783
PMCPMC9124184

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.