Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Ultrasound II: Endoscopic Ultrasound and FibroScan

Ultrasound II: Endoscopic Ultrasound and FibroScan

Endoscopic Ultrasound (EUS) and FibroScan are valuable diagnostic tools in gastroenterology and hepatology, each with specific applications and techniques.
Endoscopic Ultrasound (EUS):

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Hybrid solid-liquid optics enable scalable, high-resolution light-sheet microscopy across diverse immersion media.

Nature biotechnology·2026

Same author

Inflammatory Myofibroblastic Tumor of the Breast Mimicking Complex Fibrocystic Changes, With a Novel <i>CSTF3::ALK</i> Fusion.

International journal of surgical pathology·2026

Same author

Side-viewing probe for lesion depth mapping on the left ventricle epicardium with near-infrared spectroscopy.

Scientific reports·2026

Same author

Multimodal PSOCT-NIRS catheter for guided ablation of atrial fibrillation.

Journal of biomedical optics·2026

Same author

Automated analysis of electrogram characteristics in baseline rhythm can distinguish isthmus regions and segments in reentrant ventricular tachycardia.

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing·2026

Same author

Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival.

Cancer research·2026

Same journal

Defining Safe Light Intensity Limits of Near-Infrared Illumination Avoiding Skin Heating in Medical Optical Diagnostic Methods.

Journal of biophotonics·2026

Same journal

Review of the SWIR Windows to Study Osteoarthritis.

Journal of biophotonics·2026

Same journal

FTIR-ATR Spectroscopy as a Tool to Differentiate Listeria monocytogenes by Geno-Serogroups, Growth Conditions and Persistence Status.

Journal of biophotonics·2026

Same journal

Utilizing Serum Fluorescence Spectra and Machine Learning Algorithms for Efficient Diagnosis of Sheep Brucellosis.

Journal of biophotonics·2026

Same journal

Fluorescence Profiling of Water-Based Breast Tissue Homogenates Combined With Chemometric Analyses for Discrimination of Benign and Malignant Lesions.

Journal of biophotonics·2026

Same journal

Using Principal Components Analysis to Visualize Motion and Mitigate Artifacts in Dynamic Optical Coherence Tomography.

Journal of biophotonics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Sep 20, 2025

Tissue-simulating Phantoms for Assessing Potential Near-infrared Fluorescence Imaging Applications in Breast Cancer Surgery

Tissue-simulating Phantoms for Assessing Potential Near-infrared Fluorescence Imaging Applications in Breast Cancer Surgery

Published on: September 19, 2014

Near-Infrared Spectroscopy Mapping for Uterine Cancer and Fibroid Detection.

Danyang Cheng¹, Haiqiu Yang¹, Arielle S Joasil¹

¹Department of Electrical Engineering, Columbia University, New York, New York, USA.

Journal of Biophotonics

|May 24, 2025

Summary

This summary is machine-generated.

Near-infrared spectroscopy (NIRS) shows promise for diagnosing uterine cancer and fibroids. This technique accurately differentiates between normal, cancerous, and fibroid uterine tissues, aiding gynecologic imaging.

Keywords:

endometrial cancer gynecologic imaging near‐infrared spectroscopy uterine leiomyomas

More Related Videos

Surface-enhanced Resonance Raman Scattering Nanoprobe Ratiometry for Detecting Microscopic Ovarian Cancer via Folate Receptor Targeting

Surface-enhanced Resonance Raman Scattering Nanoprobe Ratiometry for Detecting Microscopic Ovarian Cancer via Folate Receptor Targeting

Published on: March 25, 2019

Sentinel Lymph Node Mapping and Biopsy for Endometrial Cancer at Early Stage with Laparoscopy

Sentinel Lymph Node Mapping and Biopsy for Endometrial Cancer at Early Stage with Laparoscopy

Published on: August 19, 2021

Related Experiment Videos

Last Updated: Sep 20, 2025

Tissue-simulating Phantoms for Assessing Potential Near-infrared Fluorescence Imaging Applications in Breast Cancer Surgery

Tissue-simulating Phantoms for Assessing Potential Near-infrared Fluorescence Imaging Applications in Breast Cancer Surgery

Published on: September 19, 2014

Surface-enhanced Resonance Raman Scattering Nanoprobe Ratiometry for Detecting Microscopic Ovarian Cancer via Folate Receptor Targeting

Surface-enhanced Resonance Raman Scattering Nanoprobe Ratiometry for Detecting Microscopic Ovarian Cancer via Folate Receptor Targeting

Published on: March 25, 2019

Sentinel Lymph Node Mapping and Biopsy for Endometrial Cancer at Early Stage with Laparoscopy

Sentinel Lymph Node Mapping and Biopsy for Endometrial Cancer at Early Stage with Laparoscopy

Published on: August 19, 2021

Area of Science:

Biomedical Optics
Gynecologic Oncology
Medical Spectroscopy

Background:

Endometrial cancer and uterine leiomyomas (fibroids) are prevalent uterine conditions.
Early diagnosis is crucial for effective patient symptom management and successful interventional procedures.

Purpose of the Study:

To investigate the potential of near-infrared spectroscopy (NIRS) for differentiating uterine tissues.
To analyze spectral features of normal uterus, cancerous tissue, and fibroids.

Main Methods:

Analysis of NIRS spectral features from 69 surgical specimens of uterine tissues from 24 patients.
Utilizing spectral contrast parameters and principal components for tissue identification.
Development of a classification model for uterus tissue analysis.

Main Results:

NIRS spectral contrast parameters effectively distinguished between normal, cancerous, and fibroid uterine tissues.
The classification model achieved over 70% prediction accuracy for uterus tissue.
High sensitivity and specificity were reported for identifying cancer (70% sensitivity, 93% specificity) and fibroids (86% sensitivity, 83% specificity).

Conclusions:

NIRS demonstrates potential as a complementary tool for gynecologic imaging.
Spectral features analyzed via NIRS can aid in the diagnosis of uterine pathologies.
This technique offers a promising non-invasive approach for uterine tissue characterization.