Skip to content
DraconiticResearch
Search Sources API
190,839 studies31 sourcesUpdated 21 min ago
Peer-reviewedCC BY 4.0Frontiers in Oncology

Optical coherence tomography for surgical margin assessment of soft-tissue sarcomas of the extremities and trunk

Abstract

IntroductionIncomplete resection of superficial trunk and extremity soft-tissue sarcomas can impact the risk of local recurrence and overall prognosis for patients after surgical resection. Multiple methods have been described for intraoperative surgical margin assessment of soft-tissue sarcomas, including optical coherence tomography (OCT) evaluation of surgical margins. The accuracy of OCT imaging for evaluating the surgical margins of soft-tissue sarcoma has not been reported. The first aim of this study was to determine the OCT imaging features of different tissue types at the surgical margins when compared to histopathology to allow for image interpretation training for observers. The second aim was to determine the diagnostic accuracy of OCT for identification of incomplete margin status for soft-tissue sarcomas of the superficial trunk or extremities. MethodsThe surgical margins of 20 soft-tissue sarcoma specimens were imaged using OCT following surgical resection. The OCT images from the first five tumors were used to identify features of different tissue types compared to histopathology and create a training presentation. The OCT images from all tumors were then used to create a training set and test set. Seven observers underwent a training session using a training presentation and interpreted a training and test set. Images were graded on a numeric scale from 1 (no tumor present) to 4 (tumor present). The results of the test set were used to evaluate the sensitivity, specificity, accuracy, and inter- and intraobserver variability. ResultsThe overall sensitivity and specificity for detection of tumor on the surgical margin were 83.5% [95% confidence interval (CI): 74.6% -89.7%] and 76.8% (95% CI: 68.2% -83.6%), respectively. The overall correct classification rate of the surgical margin was 162/203 (79.8%; 95% CI: 73.8% -84.7%). DiscussionFurther research is needed in an intraoperative setting with a larger patient population to evaluate the use of OCT to evaluate the surgical margins for soft-tissue sarcomas.

Related

  1. Two parallel systems constructed from complementary optical coherence tomography and histopathology for the assessment of murine intestinal inflammation: a dual-modality assessment
    Liuliu Wei, Hanling Jiang, Zhongxu Wu +14
    Quantitative imaging in medicine and surgeryPeer-reviewedCC BY-NC-NDFull textMedical imaging & radiologyEurope PMC
  2. Retained lens fragments obscured by bullous keratopathy: Anterior segment optical coherence tomography before and after endothelial keratoplasty
    American journal of ophthalmology case reportsPeer-reviewedCC BY-NC-NDFull textGeneral medicineEurope PMC
  3. Serial bedside retinal optical coherence tomography angiography in sepsis associated circulatory dysfunction
    André Rosa Alexandre, Gonçalo Meleiro Magalhães, Pedro Póvoa +1
    Intensive Care Medicine ExperimentalPeer-reviewedCC BYFull textGeneral medicineDOAJ
  4. Radial artery characteristics before and after intra-arterial administration of nitroglycerin and verapamil: an optical coherence tomography study
    Senhu Wang, Jia Zhou, Saiying He +4
    Frontiers in medicinePeer-reviewedCC BYFull textGeneral medicineEurope PMC
  5. Artificial Intelligence‐Assisted Automated Optical Coherence Tomography Analysis for Percutaneous Coronary Intervention Planning: From Plaque Analysis to Precision Lesion Preparation and Stent Optimization
    Kevin Mohee, Eirinaios Tsiartas, Jason Sangha +2
    Journal of the American Heart AssociationPeer-reviewedLicence not statedCardiovascular medicineCrossref
BibTeX
@article{johnson2026optical,
  title = {{Optical coherence tomography for surgical margin assessment of soft-tissue sarcomas of the extremities and trunk}},
  author = {Carley Johnson and John Alexander and Joel Mayerson and Thomas Scharschmidt and Valerie Grignol and Raphael Pollock and O. Hans Iwenofu and Gabrielle S. Fontes and Jocosa Yasenchack and Jorge Santana Mignucci and Laura E. Selmic},
  journal = {Frontiers in Oncology},
  year = {2026},
  month = nov,
  doi = {10.3389/fonc.2026.1911225},
  url = {https://www.frontiersin.org/articles/10.3389/fonc.2026.1911225},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Optical coherence tomography for surgical margin assessment of soft-tissue sarcomas of the extremities and trunk
AU  - Carley Johnson
AU  - John Alexander
AU  - Joel Mayerson
AU  - Thomas Scharschmidt
AU  - Valerie Grignol
AU  - Raphael Pollock
AU  - O. Hans Iwenofu
AU  - Gabrielle S. Fontes
AU  - Jocosa Yasenchack
AU  - Jorge Santana Mignucci
AU  - Laura E. Selmic
PY  - 2026
DA  - 2026/11/05
JO  - Frontiers in Oncology
DO  - 10.3389/fonc.2026.1911225
UR  - https://www.frontiersin.org/articles/10.3389/fonc.2026.1911225
AB  - IntroductionIncomplete resection of superficial trunk and extremity soft-tissue sarcomas can impact the risk of local recurrence and overall prognosis for patients after surgical resection. Multiple methods have been described for intraoperative surgical margin assessment of soft-tissue sarcomas, including optical coherence tomography (OCT) evaluation of surgical margins. The accuracy of OCT imaging for evaluating the surgical margins of soft-tissue sarcoma has not been reported. The first aim of this study was to determine the OCT imaging features of different tissue types at the surgical margins when compared to histopathology to allow for image interpretation training for observers. The second aim was to determine the diagnostic accuracy of OCT for identification of incomplete margin status for soft-tissue sarcomas of the superficial trunk or extremities. MethodsThe surgical margins of 20 soft-tissue sarcoma specimens were imaged using OCT following surgical resection. The OCT images from the first five tumors were used to identify features of different tissue types compared to histopathology and create a training presentation. The OCT images from all tumors were then used to create a training set and test set. Seven observers underwent a training session using a training presentation and interpreted a training and test set. Images were graded on a numeric scale from 1 (no tumor present) to 4 (tumor present). The results of the test set were used to evaluate the sensitivity, specificity, accuracy, and inter- and intraobserver variability. ResultsThe overall sensitivity and specificity for detection of tumor on the surgical margin were 83.5% [95% confidence interval (CI): 74.6% -89.7%] and 76.8% (95% CI: 68.2% -83.6%), respectively. The overall correct classification rate of the surgical margin was 162/203 (79.8%; 95% CI: 73.8% -84.7%). DiscussionFurther research is needed in an intraoperative setting with a larger patient population to evaluate the use of OCT to evaluate the surgical margins for soft-tissue sarcomas.
SN  - 2234-943X
ER  -