Evidence map›Paper›PMID 28327613›Full record

ArticleScientific reports2017

Robust and fast characterization of OCT-based optical attenuation using a novel frequency-domain algorithm for brain cancer detection.

Wu Yuan, Carmen Kut, Wenxuan Liang, Xingde Li

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

50 citing papers in PubMed, 97 citations in OpenAlex.

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  15. Functional imaging of the exposed brain.Frontiers in neuroscience · 2023
    Review
  16. Article
  17. Biomedical optics express · 2022
    Article
  18. Article
  19. Article
  20. 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.

Wu YuanDepartment of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
Carmen KutDepartment of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
Wenxuan LiangDepartment of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
Xingde LiDepartment of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
Johns Hopkins Medicine · USJohns Hopkins University · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007309 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI COX, ANDREA L · 1985 to 2019
$43.2M
Micro Coherence Imaging Technology for Assessing Obstructive Lung Disease in vivoR01HL121788 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI BROWN, ROBERT H, LI, XINGDE · 2014 to 2018
$3.7M
Intra-Operative, Label-Free Detection of Brain Cancer Infiltration with Quantitative Optical ImagingR01CA200399 · NCI · JOHNS HOPKINS UNIVERSITY · PI LI, XINGDE, QUINONES-HINOJOSA, ALFREDO · 2016 to 2020
$3.0M
OCT to Distinguish b/t Tumor & Non-Tumor Tissue in Infiltrating Brain CancerF30CA183430 · NCI · JOHNS HOPKINS UNIVERSITY · PI KUT, CARMEN · 2014 to 2016
$144k
NCI NIH HHS F30 CA183430NCI NIH HHS R01 CA200399NHLBI NIH HHS R01 HL121788NIGMS NIH HHS T32 GM007309
6 · The paper itself

Abstract

Cancer is known to alter the local optical properties of tissues. The detection of OCT-based optical attenuation provides a quantitative method to efficiently differentiate cancer from non-cancer tissues. In particular, the intraoperative use of quantitative OCT is able to provide a direct visual guidance in real time for accurate identification of cancer tissues, especially these without any obvious structural layers, such as brain cancer. However, current methods are suboptimal in providing high-speed and accurate OCT attenuation mapping for intraoperative brain cancer detection. In this paper, we report a novel frequency-domain (FD) algorithm to enable robust and fast characterization of optical attenuation as derived from OCT intensity images. The performance of this FD algorithm was compared with traditional fitting methods by analyzing datasets containing images from freshly resected human brain cancer and from a silica phantom acquired by a 1310 nm swept-source OCT (SS-OCT) system. With graphics processing unit (GPU)-based CUDA C/C++ implementation, this new attenuation mapping algorithm can offer robust and accurate quantitative interpretation of OCT images in real time during brain surgery.

Indexed as

AlgorithmsBrain NeoplasmsDisease ManagementHumansPhantoms, ImagingReproducibility of ResultsSignal Processing, Computer-AssistedTomography, Optical Coherence

Identifiers

PMID28327613
PMCPMC5361149
OpenAlexW2599059164

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.