CASE REPORT
Figure from article: Ovarian Deciduosis...
 
HIGHLIGHTS
  • Ovarian deciduosis can closely mimic disseminated malignancy during pregnancy.
  • Histology revealed bland decidual cells without atypia or mitoses.
  • Immunohistochemistry supported benign progesterone-driven decidual differentiation in ovarian tissue.
  • Digital pathology may reduce diagnostic errors involving rare benign mimics.
  • Structured reporting and registries could strengthen recognition of uncommon deciduosis.
KEYWORDS
TOPICS
ABSTRACT
Ectopic decidualization, or deciduosis, is a benign, hormone-dependent proliferation of decidual-type stromal cells outside the uterine endometrium. During pregnancy, it is most often an incidental finding. Yet, its nodular gross appearance and cellular histology can closely imitate disseminated malignancy, exposing patients to overtreatment when it is misread intra-operatively or on biopsy. A 34-year-old second-gravida woman was admitted in active labour and had an uncomplicated full-term vaginal delivery. On the second postpartum day, during elective tubal ligation, a 5 × 4.5 × 3 cm right ovarian cyst studded with off-white, shiny surface nodules was identified and excised together with bilateral tubal ligation. Histology demonstrated a serous cystadenoma lined by a single layer of flattened-to-cuboidal epithelium, accompanied by surface and parenchymal nodules of bland, large polygonal cells with abundant eosinophilic cytoplasm consistent with decidua. Immunohistochemistry (PR positive, CD10 positive, focal inhibin positivity, CK20 negative) together with the absence of nuclear atypia or mitoses supported a benign decidual reaction. A systematic search excluded occult malignancy; after multidisciplinary consensus, no further treatment was given, and the patient remained asymptomatic. We situate this case within a medico-informatics framework, proposing that whole-slide imaging with computer-aided image analysis can reduce the diagnostic-error risk posed by benign mimics while generating reusable, machine-readable evidence for rare entities. Clinician and pathologist awareness of the condition, stringent histological criteria, and digital diagnostic infrastructure together protect pregnant patients from unnecessary intervention.
ABBREVIATIONS
AI: Artificial Intelligence
CA-125: Cancer Antigen 125
CEA: Carcinoembryonic Antigen
CD10: Cluster of Differentiation 10
CK7: Cytokeratin 7
CK20: Cytokeratin 20
H&E: Haematoxylin and Eosin
IHC: Immunohistochemistry
ICD-O: International Classification of Diseases for Oncology
Ki-67: Ki-67 Proliferation Marker
PET-CT: Positron Emission Tomography–Computed Tomography
PR: Progesterone Receptor
SF-1: Steroidogenic Factor 1
SNOMED CT: Systematized Nomenclature of Medicine Clinical Terms
WSI: Whole-Slide Imaging
ACKNOWLEDGEMENTS
The authors sincerely thank the Department of Pathology and the Department of Obstetrics & Gynecology, All India Institute of Medical Sciences (AIIMS), Nagpur, for their support in the diagnosis, clinical management, and preparation of this case report. The authors also acknowledge the patient for providing informed consent for publication.
FUNDING
This research received no external funding. All work was conducted using institutional resources without dedicated grant support.
CONFLICT OF INTEREST
The authors declare that they have no known financial, personal, academic, or other relationships that could inappropriately influence, or be perceived to influence, the work reported in this manuscript. The authors confirm that there are no competing interests to declare.
PEER REVIEW INFORMATION
Article has been screened for originality
© 2026 The Author(s). This article is distributed under the terms of the Creative Commons Attribution License (CC BY 4.0).
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ISSN:3108-2696
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