ArticleAJR. American journal of roentgenology2018
CT Features of Ovarian Tumors: Defining Key Differences Between Serous Borderline Tumors and Low-Grade Serous Carcinomas.
Article in AJR. American journal of roentgenology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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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.
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Who cites it
17 citing papers in PubMed, 41 citations in OpenAlex.
- CT texture analysis in histological classification of epithelial ovarian carcinoma.European radiology · 2021Trial
- Serous borderline ovarian tumor and low-grade serous ovarian cancer.Abdominal radiology (New York) · 2026Review
- The utility of low-dose pre-operative CT of ovarian tumor with artificial intelligence iterative reconstruction for diagnosing peritoneal invasion, lymph node and hepatic metastasis.Abdominal radiology (New York) · 2025Article
- The Convergence of Radiology and Genomics: Advancing Breast Cancer Diagnosis with Radiogenomics.Cancers · 2024Review
- Role of magnetic resonance imaging to differentiate between borderline and malignant serous epithelial ovarian tumors.Abdominal radiology (New York) · 2024Article
- Computed Tomography Indicators for Differentiating Stage 1 Borderline Ovarian Tumors from Stage I Malignant Epithelial Ovarian Tumors.Diagnostics (Basel, Switzerland) · 2023Article
- Radiomics nomogram for preoperative differentiation of early-stage serous borderline ovarian tumors and serous malignant ovarian tumors.Frontiers in oncology · 2023Article
- MR-based radiomics-clinical nomogram in epithelial ovarian tumor prognosis prediction: tumor body texture analysis across various acquisition protocols.Journal of ovarian research · 2022Article
- Serous borderline ovarian tumours: an extensive review on MR imaging features.The British journal of radiology · 2021Review
- Low-grade serous epithelial ovarian cancer: a comprehensive review and update for radiologists.Insights into imaging · 2021Review
- Machine Learning: Applications and Advanced Progresses of Radiomics in Endocrine Neoplasms.Journal of oncology · 2021Review
- MDCT-Based Radiomics Features for the Differentiation of Serous Borderline Ovarian Tumors and Serous Malignant Ovarian Tumors.Cancer management and research · 2021Article
- Evaluation of Ovarian Tumors with Multidetector Computed Tomography and Tumor Markers: Differentiation of Stage I Serous Borderline Tumors and Stage I Serous Malignant Tumors Presenting as Solid-Cystic Mass.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- MR imaging findings of low-grade serous carcinoma of the ovary: comparison with serous borderline tumor.Japanese journal of radiology · 2020Article
- Low-grade Serous Tumors: Are We Making Progress?Current oncology reports · 2020Review
- The Era of Radiogenomics in Precision Medicine: An Emerging Approach to Support Diagnosis, Treatment Decisions, and Prognostication in Oncology.Frontiers in oncology · 2020Review
- Low-Grade Serous Ovarian Cancer: Current Treatment Paradigms and Future Directions.Current treatment options in oncology · 2018Review
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 3 countries.
Funding
Abstract
objectiveThe objective of our study was to investigate whether the CT features of serous borderline tumors (SBTs) differ from those of low-grade serous carcinomas (LGSCs) and to evaluate if mutation status is associated with distinct CT phenotypes. MATERIALS AND
methodsThis retrospective study included 59 women, 37 with SBT and 22 with LGSC, who underwent CT before primary surgical resection. Thirty of 59 patients were genetically profiled. Two radiologists (readers 1 and 2) independently and retrospectively reviewed CT examinations for qualitative features and quantified total tumor volumes (TTVs), solid tumor volumes (STVs), and solid proportion of ovarian masses. Univariate and multivariate associations of the CT features with histopathologic diagnoses and mutations were evaluated, and interreader agreement was determined.
resultsAt multivariate analysis, the presence of bilateral ovarian masses (p = 0.03), the presence of peritoneal disease (PD) (p = 0.002), and higher STV of ovarian masses (p = 0.002) were associated with LGSC. The presence of nodular PD pattern (p < 0.001 each reader) and the presence of PD calcifications (reader 1, p = 0.02; reader 2, p = 0.003) were associated with invasive peritoneal lesions (i.e., LGSC). The presence of bilateral ovarian masses (p = 0.04 each reader), PD (reader 1, p = 0.01; reader 2, p = 0.004), and higher STV (p = 0.03 for each reader) were associated with the absence of BRAF mutation (i.e., wild type [wt]-BRAF).
conclusionThe CT features of LGSCs were distinct from those of SBTs. The CT manifestations of LGSC and the wt-BRAF phenotype were similar.
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