ArticleInsights into imaging2016
MR imaging of ovarian masses: classification and differential diagnosis.
Article in Insights into imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
62 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Society for Endocrinology Clinical Practice Guideline for the Evaluation of Androgen Excess in Women.Clinical endocrinology · 2025Guideline
- Comparing the diagnostic efficacy of [Abdominal radiology (New York) · 2025Pooled it
- MR imaging in discriminating between benign and malignant paediatric ovarian masses: a systematic review.European radiology · 2020Pooled it
- Abdominal hydatid disease and its mimics: a comprehensive pictorial review of imaging clues to the differential diagnosis.Abdominal radiology (New York) · 2026Review
- Pelvic schwannoma misdiagnosed as colorectal cancer metastasis and the corresponding diagnostic lessons: A report of two cases.Oncology letters · 2026Article
- Metastatic appendiceal mucinous adenocarcinoma presenting as bilateral ovarian masses mimicking advanced ovarian cancer: a case report.Ewha medical journal · 2026Article
- Hyperattenuation on non-enhanced CT and T2 hypointensity: an imaging pattern frequently associated with fibrous or smooth muscle-rich abdominal and pelvic lesions.Abdominal radiology (New York) · 2026Review
- Artificial Intelligence-Based Approach for Automated Gonad Volume Quantification Using Magnetic Resonance Imaging in Healthy Adolescents Across Puberty.Diagnostics (Basel, Switzerland) · 2026Article
- MRI perfusion in evaluating ovarian masses: diagnostic performance of wash out rate.Frontiers in oncology · 2026Article
- Primary vaginal yolk sac tumor in an 11-month-old girl: a case report.Frontiers in oncology · 2026Article
- Rare Intraoperative Presentation of a Coexistent Uterine Cystic Mass and Bilateral Ovarian Cystic Masses.Cureus · 2026Article
- Radiomics-based MRI model for differentiating ovarian cystadenoma and cystadenocarcinoma.Frontiers in oncology · 2026Article
- Comprehensive Review of Endometriosis Based on Imaging Findings: What Radiologists Need to Know.Journal of the Korean Society of Radiology · 2025Review
- The value of a radiomics model in predicting ovarian malignancy: a retrospective multi-center comparison with O-RADS and radiologists.Insights into imaging · 2025Article
- Imaging Evaluation of Ovarian Masses in a Pediatric Population: A Comprehensive Overview.Cancers · 2025Review
- Identifying potential miRNA-disease associations through an accurate matrix completion approach.Briefings in bioinformatics · 2025Article
- Adnexal masses: a compendium of established radiological signs.Abdominal radiology (New York) · 2025Review
- Article
- Conventional ultrasound and high-frame-rate contrast-enhanced ultrasound characteristics of ovarian thecoma-fibroma groups.Quantitative imaging in medicine and surgery · 2025Article
- A giant degenerative uterine leiomyoma mimicking an ovarian neoplasm: Case report.SAGE open medical case reports · 2025Article
2 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveWe propose a Magnetic Resonance Imaging (MRI) guided approach to differential diagnosis of ovarian tumours based on morphological appearance.
backgroundCharacterization of ovarian lesions is of great importance in order to plan adequate therapeutic procedures, and may influence patient's management. Optimal assessment of adnexal masses requires a multidisciplinary approach, based on physical examination, laboratory tests and imaging techniques. Primary ovarian tumours can be classified into three main categories according to tumour origin: epithelial, germ cell and sex cord-stromal tumours. Ovarian neoplasms may be benign, borderline or malignant. Using an imaging-guided approach based on morphological appearance, we classified adnexal masses into four main groups: unilocular cyst, multilocular cyst, cystic and solid, predominantly solid. We describe MR signal intensity features and enhancement behaviour of ovarian lesions using pathologically proven examples from our institution.
conclusionMRI is an essential problem-solving tool to determine the site of origin of a pelvic mass, to characterize an adnexal mass, and to detect local invasion. The main advantages of MRI are the high contrast resolution and lack of ionizing radiation exposure. Although different pathological conditions may show similar radiologic manifestations, radiologists should be aware of MRI features of ovarian lesions that may orientate differential diagnosis. TEACHING POINTS: • Diagnostic imaging plays a crucial role in detection, characterization and staging of adnexal masses. • Characterization of an ovarian lesion may influence patient's management. • Different pathological conditions may have similar radiologic manifestations. • Non-neoplastic lesions should always be taken into consideration.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.