Evidence map›Paper›PMID 41845303›Full record

ArticleBMC medical imaging2026

CT imaging characteristics of ovarian small cell carcinoma: correlation with clinicopathology and prognosis.

Junjun Li, Jun Xu, Bo Meng, Wei Wei

Abstract read
In one paragraph

Article in BMC medical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Junjun Li *Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China.
Jun Xu *Department of Intervention, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, 230001, China.
Bo MengDepartment of Pathology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, 230001, China.
Wei WeiDepartment of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China. weiw.afh@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmall cell carcinoma of the ovary (SCCO) is a rare, highly aggressive malignancy comprising pulmonary type (SCCOPT) and hypercalcemic type (SCCOHT). Clinical presentations are nonspecific, and CT features remain poorly defined. We aimed to characterize CT findings of SCCO, compare subtypes, and evaluate associations with pathology and outcomes.

methodsWe retrospectively analyzed 42 patients with pathologically confirmed SCCO (8 institutional cases and 34 literature-derived cases). Clinical, pathological, and follow-up data were collected. Pre-treatment contrast-enhanced CT images were independently reviewed by two senior radiologists. Imaging features were correlated with immunohistochemical markers and survival outcomes.

resultsThe cohort included 22 SCCOPT and 20 SCCOHT cases. Compared with SCCOPT, SCCOHT patients were younger (25.5 vs. 54.0 years, P < 0.0001), had larger tumors (15.0 vs. 11.1 cm, p = 0.039), and more frequently had hypercalcemia (55.0% vs. 0%, p = 0.0002). On CT, SCCOPT commonly presented as irregular (63.6%), ill-defined (59.1%) solid or mixed masses with moderate-to-marked enhancement and frequent metastases, whereas SCCOHT typically appeared as large unilateral, well-circumscribed cystic–solid tumors with mild-to-moderate peripheral enhancement and central necrosis, often mimicking benign lesions. BRG1 loss was associated with lower enhancement and reduced invasiveness (r = − 0.64 to − 0.41, p < 0.05), while high Ki-67 expression correlated with irregular morphology, marked enhancement, and metastasis (r = 0.33–0.47, p < 0.05). In SCCOPT, lower chromogranin A expression correlated with ill-defined margins (r = − 0.45, p = 0.035). Median overall survival remained poor (14.4 months for SCCOPT vs. 11.0 months for SCCOHT). In multivariable Cox analysis, irregular morphology (HR = 3.75, p = 0.03) and bowel invasion (HR = 3.13, p = 0.03) independently predicted worse overall survival.

conclusionCT features differ between SCCOPT and SCCOHT and show meaningful associations with immunohistochemical markers and outcomes. Integrating imaging with molecular pathology may aid preoperative risk stratification and prognostic assessment in this rare malignancy.

Indexed as

Carcinoma, Small CellOvarian NeoplasmsTomography, X-Ray ComputedAdultAgedFemaleHumansHypercalcemiaMiddle AgedPrognosisRetrospective StudiesComputed tomographyHypercalcemic typeImmunohistochemistryPrognosisPulmonary typeSmall cell carcinoma of the ovary

Identifiers

PMID41845303
PMCPMC13112632

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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.