ReviewAbdominal radiology (New York)2021
Current update on malignant epithelial ovarian tumors.
Review in Abdominal radiology (New York), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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
16 citing papers in PubMed.
- Two case reports of ovarian clear cell carcinoma with central necrosis representing a mille-feuille-like appearance on contrast-enhanced MRI.Radiology case reports · 2026Article
- MRI-based morphology of ovarian clear cell carcinomas.Abdominal radiology (New York) · 2026Review
- Pictorial review of bilateral adnexal lesions.Abdominal radiology (New York) · 2025Review
- Review
- Two case reports of ovarian clear cell carcinoma: Atypical MRI findings with a renal corticomedullary contrast-like appearance.Radiology case reports · 2025Article
- Comparative effectiveness of paclitaxel versus cyclophosphamide in platinum-based adjuvant treatment of high-risk early-stage epithelial ovarian cancer: an Asian population study.American journal of cancer research · 2025Article
- Evaluation of Selected MRI Parameters in the Differentiation of Mucinous Ovarian Carcinomas and Metastatic Ovarian Tumors.Cancers · 2024Article
- Predicting progression-free survival in patients with epithelial ovarian cancer using an interpretable random forest model.Heliyon · 2024Article
- Magnetic resonance imaging-based radiomics analysis of the differential diagnosis of ovarian clear cell carcinoma and endometrioid carcinoma: a retrospective study.Japanese journal of radiology · 2024Article
- Deep learning-based segmentation of epithelial ovarian cancer on T2-weighted magnetic resonance images.Quantitative imaging in medicine and surgery · 2023Article
- Article
- Olaparib synergizes with arsenic trioxide by promoting apoptosis and ferroptosis in platinum-resistant ovarian cancer.Cell death & disease · 2022Article
- Acylglycerol kinase promotes ovarian cancer progression and regulates mitochondria function by interacting with ribosomal protein L39.Journal of experimental & clinical cancer research : CR · 2022Article
- Article
- Genomic and TCR profiling data reveal the distinct molecular traits in epithelial ovarian cancer histotypes.Oncogene · 2022Article
- N6-methyladenosine-related lncRNAs is a potential marker for predicting prognosis and immunotherapy in ovarian cancer.Hereditas · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epithelial ovarian cancer (EOC) represents the most frequently occurring gynecological malignancy, accounting for more than 70% of ovarian cancer deaths. Preoperative imaging plays an important role in assessing the extent of disease and guides the next step in surgical decision-making and operative planning. In this article, we will review the multimodality imaging features of various subtypes of EOC. We will also discuss the role of imaging in the staging, management, and surveillance of EOC.
Indexed as
Identifiers
34089360What 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.