Clinicopathological Correlation of Uterine Corpus Tumors: A Study of 433 Cases

Shetty, Divya; Gosavi, Alka Vikas; Murarkar, Prashant Shankarrao; Sulhyan, Kalpana Ranjitsingh

doi:10.1007/s40944-019-0315-0

Cited by 1 publication

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“…Endometrial stromal nodule is differentiated from endometrial stromal sarcomas based on the presence of myometrial invasion [14]. We received a single case of high grade endometrial stromal sarcoma within the study period [15][16][17][18][19][20][21].…”

Section: Fig 2 Distribution Of Malignant Tumors Of Uterine Corpusmentioning

confidence: 99%

A Clinicopathological Study of Malignant Tumors of the Uterine Corpus in a Tertiary Care Center

Binu

Diwagar

Sekhar

2021

JPRI

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Aim: To study the clinicopathological spectrum of malignant tumors of the uterine corpus in a tertiary care center and classify it according to the latest WHO classification. Methods: A 2 year study was conducted on 22 diagnosed cases of malignant tumors of uterine corpus. Retrospectively clinical and histopathological details were collected and analyzed. Results: In our study majority (40.90%, 9 of 22) cases belong to the age group of 51-60 years. Abnormal uterine bleeding was the most common clinical presentation. A large share (81.81%) of the tumours was of epithelial origin, followed by mixed and mesenchymal tumors. Nearly 94% of the epithelial tumours were Endometrioid Adenocarcinomas. Majority of the cases were at pT1a stage (42.1%) at the time of diagnosis, followed by pT1b stage (31.57%). Very few cases (21%) presented with nodal metastasis. All the cases with nodal metastasis showed Lymphovascular invasion in the tumor proper and were usually high grade tumors. Conclusion: The prognosis of the patients with malignant tumors of uterine corpus depends on stage, grade, myometrial invasion, tumor size, lymphovascular invasion etc. Clinical findings in these tumors are not specific, so Histopathological examination plays a vital role in diagnosing and assessing the prognosis of these tumors. Classifying these tumors according to the recently proposed molecular classification will aid in patient specific targeted therapy.

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Section: Fig 2 Distribution Of Malignant Tumors Of Uterine Corpusmentioning

confidence: 99%