Evidence map›Paper›PMID 28319274›Full record

ArticleLasers in surgery and medicine2017

Intraoperative optical coherence tomography for soft tissue sarcoma differentiation and margin identification.

Kelly J Mesa, Laura E Selmic, Paritosh Pande, Guillermo L Monroy, Jennifer Reagan, Jonathan Samuelson, Elizabeth Driskell, Joanne Li, Marina Marjanovic, Eric J Chaney and 1 more

Abstract read
In one paragraph

Article in Lasers in surgery and medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

23 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
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  3. Artificial Intelligence in Label-Free Optical Imaging Applications.Methods in molecular biology (Clifton, N.J.) · 2026
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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

11 authors at 1 institution in 1 country.

Kelly J MesaBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois.
Laura E SelmicDepartment of Veterinary Clinical Medicine, University of Illinois at Urbana-Champaign, Urbana, Illinois.
Paritosh PandeBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois.
Guillermo L MonroyBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois.
Jennifer ReaganDepartment of Veterinary Clinical Medicine, University of Illinois at Urbana-Champaign, Urbana, Illinois.
Jonathan SamuelsonDepartment of Pathobiology, University of Illinois at Urbana-Champaign, Urbana, Illinois.
Elizabeth DriskellDepartment of Veterinary Clinical Medicine, University of Illinois at Urbana-Champaign, Urbana, Illinois.
Joanne LiBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois.
Marina MarjanovicBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois.
Eric J ChaneyBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois.
Stephen A BoppartBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois.
University of Illinois Urbana-Champaign · US

Funding

Intraoperative Label-Free Optical Molecular Imaging of Breast Tumor MarginsR01CA166309 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BOPPART, STEPHEN A · 2012 to 2016
$2.5M
Intraoperative Polarization-Sensitive OCT for Assessing Breast Tumor MarginsR01CA213149 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BOPPART, STEPHEN A · 2017 to 2021
$2.4M
NCI NIH HHS R01 CA166309NCI NIH HHS R01 CA213149
6 · The paper itself

Abstract

BACKGROUND AND

objectiveSarcomas are rare but highly aggressive tumors, and local recurrence after surgical excision can occur in up to 50% cases. Therefore, there is a strong clinical need for accurate tissue differentiation and margin assessment to reduce incomplete resection and local recurrence. The purpose of this study was to investigate the use of optical coherence tomography (OCT) and a novel image texture-based processing algorithm to differentiate sarcoma from muscle and adipose tissue. STUDY DESIGN AND

methodsIn this study, tumor margin delineation in 19 feline and canine veterinary patients was achieved with intraoperative OCT to help validate tumor resection. While differentiation of lower-scattering adipose tissue from higher-scattering muscle and tumor tissue was relatively straightforward, it was more challenging to distinguish between dense highly scattering muscle and tumor tissue types based on scattering intensity and microstructural features alone. To improve tissue-type differentiation in a more objective and automated manner, three descriptive statistical metrics, namely the coefficient of variation (CV), standard deviation (STD), and Range, were implemented in a custom algorithm applied to the OCT images.

resultsOver 22,800 OCT images were collected intraoperatively from over 38 sites on 19 ex vivo tissue specimens removed during sarcoma surgeries. Following the generation of an initial set of OCT images correlated with standard hematoxylin and eosin-stained histopathology, over 760 images were subsequently used for automated analysis. Using texture-based image processing metrics, OCT images of sarcoma, muscle, and adipose tissue were all found to be statistically different from one another (P ≤ 0.001).

conclusionThese results demonstrate the potential of using intraoperative OCT, along with an automated tissue differentiation algorithm, as a guidance tool for soft tissue sarcoma margin delineation in the operating room. Lasers Surg. Med. 49:240-248, 2017. © 2017 Wiley Periodicals, Inc.

Indexed as

AnimalsBiopsy, NeedleCatsDiagnosis, DifferentialDogsImage Processing, Computer-AssistedImmunohistochemistryMargins of ExcisionMonitoring, IntraoperativeMuscle NeoplasmsNeoplasms, Adipose TissueSarcomaTomography, Optical Coherencecancercomputer-aided detectionimage processingimagingOCTsurgerysurgical margins

Identifiers

PMID28319274
PMCPMC5368018
OpenAlexW2602967289

What OpenQuestion holds

Textmetadata
LicenceTDM
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.