Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Multiparametric MRI-based Deep Learning and Radiomics for Evaluating Lymph Node Metastasis in Early-Stage Cervical Cancer.

Radiology. Imaging cancer·2026
Same author

Primary tumor-derived, multiparametric MRI-based deep learning-radiomics-clinical model for predicting lymph node metastasis in early-stage cervical cancer.

Insights into imaging·2026
Same author

The deep learning radiomics nomogram helps to evaluate the lymph node status in cervical adenocarcinoma/adenosquamous carcinoma.

Frontiers in oncology·2024
Same author

Multiparametric MRI-based radiomics nomogram for differentiation of primary mucinous ovarian cancer from metastatic ovarian cancer.

Abdominal radiology (New York)·2024
Same author

Comparison of MRI features among squamous cell carcinoma, adenocarcinoma and adenosquamous carcinoma, usual-type endocervical adenocarcinoma and gastric adenocarcinoma of cervix.

Magnetic resonance imaging·2024
Same author

Intratumoral and peritumoral MRI radiomics nomogram for predicting parametrial invasion in patients with early-stage cervical adenocarcinoma and adenosquamous carcinoma.

European radiology·2023

Related Experiment Video

Updated: Apr 12, 2026

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy
05:24

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy

Published on: January 10, 2025

1.1K

MR Spectroscopy for Differentiating Benign From Malignant Solid Adnexal Tumors.

Feng Hua Ma1, Jin Wei Qiang, Song Qi Cai

  • 11 Department of Radiology, Jinshan Hospital, Shanghai Medical College, Fudan University, 1508 Longhang Rd, Jinshan District, Shanghai 201508, China.

AJR. American Journal of Roentgenology
|May 23, 2015
PubMed
Summary

Proton MR spectroscopy ((1)H-MRS) reveals distinct metabolic patterns in solid adnexal tumors. The choline-to-creatine ratio effectively differentiates benign from malignant masses, aiding clinical diagnosis.

Keywords:
MRIadnexal tumorsovarian tumorsspectroscopy

More Related Videos

Surface-enhanced Resonance Raman Scattering Nanoprobe Ratiometry for Detecting Microscopic Ovarian Cancer via Folate Receptor Targeting
07:54

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

Published on: March 25, 2019

8.8K
In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses
09:31

In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses

Published on: March 30, 2015

9.4K

Related Experiment Videos

Last Updated: Apr 12, 2026

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy
05:24

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy

Published on: January 10, 2025

1.1K
Surface-enhanced Resonance Raman Scattering Nanoprobe Ratiometry for Detecting Microscopic Ovarian Cancer via Folate Receptor Targeting
07:54

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

Published on: March 25, 2019

8.8K
In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses
09:31

In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses

Published on: March 30, 2015

9.4K

Area of Science:

  • Radiology
  • Oncology
  • Biochemistry

Background:

  • Solid adnexal tumors present a diagnostic challenge, requiring accurate differentiation between benign and malignant entities.
  • Proton MR spectroscopy ((1)H-MRS) offers a non-invasive method to assess tumor biochemistry.

Purpose of the Study:

  • To investigate the (1)H-MRS characteristics of solid adnexal tumors.
  • To evaluate the efficacy of (1)H-MRS in distinguishing benign from malignant tumors.

Main Methods:

  • Sixty-nine patients with solid adnexal tumors underwent conventional MRI and (1)H-MRS.
  • Single-voxel spectroscopy analyzed metabolite ratios, including choline-to-creatine.

Main Results:

  • Choline peaks were present in all tumors; NAA peaks in 97%.
  • The choline-to-creatine ratio was significantly higher in malignant tumors (8.90 ± 0.5) than benign tumors (5.13 ± 0.6) (p = 0.000).
  • A choline-to-creatine ratio threshold of 7.46 achieved 94.1% sensitivity, 97.1% specificity, and 91.2% accuracy for malignancy.

Conclusions:

  • Metabolic profiles from (1)H-MRS differ between benign and malignant solid adnexal tumors.
  • The choline-to-creatine ratio is a valuable biomarker for differentiating benign from malignant adnexal masses.