Evidence map›Paper›PMID 30519870›Full record

ArticleInternational journal of computer assisted radiology and surgery2019

Automatic detection of perforator vessels using infrared thermography in reconstructive surgery.

Michael Unger, Miriam Markfort, Dirk Halama, Claire Chalopin

Abstract read
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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Automated thermographic detection of blood vessels for DIEP flap reconstructive surgery.International journal of computer assisted radiology and surgery · 2024
    Article
  4. Review
  5. Article
  6. [Application of infrared thermography technique to assist peroneal artery perforator flap in the repair of oral and maxillofacial defects].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2022
    Article
  7. Article
  8. 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

4 authors at 2 institutions in 1 country.

Michael UngerInnovation Center Computer Assisted Surgery, University Leipzig, Semmelweisstr. 14, 04103, Leipzig, Germany. michael.unger@iccas.de.ORCID http://orcid.org/0000-0002-5712-2768
Miriam MarkfortDepartment of Oral, Maxillofacial and Plastic Facial Surgery, University Hospital Leipzig, Leipzig, Germany.
Dirk HalamaDepartment of Oral, Maxillofacial and Plastic Facial Surgery, University Hospital Leipzig, Leipzig, Germany.
Claire ChalopinInnovation Center Computer Assisted Surgery, University Leipzig, Semmelweisstr. 14, 04103, Leipzig, Germany.
University Hospital Leipzig · DELeipzig University · DE

Funding

BMWi KF 2026723AK4
6 · The paper itself

Abstract

purposeKnowing the location of the blood vessels supplying the skin and subcutaneous tissue is a requirement during the planning of tissue transfer in reconstructive surgery. Commonly used imaging techniques such as computed tomography angiography and indocyanine green angiography expose the patient to radiation or a contrast agent, respectively. Infrared thermal imaging was evaluated with success as a non-invasive alternative. To support the interpretation of thermograms, a method to automatically detect the perforators was developed and evaluated.

methodsA system consisting of a thermal camera, a PC and custom software was developed. The temperature variations of the skin surface were analysed to extract the perforator locations. A study was conducted to assess the performance of the algorithm by comparing the detection results of the algorithm with manually labelled thermal images by two clinicians of the deep inferior epigastric perforator flap of 20 healthy volunteers.

resultsThe F measure, precision and recall were used to evaluate the system performance. The median F measure is 0.833, the median precision is 0.80, and the median recall is 0.907.

conclusionThe results of this study showed that it is possible to automatically and reliably detect the skin perforators in thermograms despite their weak temperature signature. Infrared thermal imaging is a non-invasive and contactless approach suitable for intraoperative use. Combined with a computer-assisted tool for the automatic detection of perforator vessels, it is a relevant alternative intraoperative imaging method to the standard indocyanine green angiography.

Indexed as

Perforator FlapAdultAlgorithmsComputed Tomography AngiographyContrast MediaFemaleHealthy VolunteersHumansImage Processing, Computer-AssistedPlastic Surgery ProceduresReproducibility of ResultsSoftwareThermographyContrast MediaAutomatic segmentationNon-invasive imagingOperation planningSkin transplant

Identifiers

PMID30519870
OpenAlexW2902624765

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.