» Articles » PMID: 34225386

Imaging in Gynecological Disease (23): Clinical and Ultrasound Characteristics of Ovarian Carcinosarcoma

Overview
Date 2021 Jul 5
PMID 34225386
Citations 6
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: To describe the clinical and ultrasound characteristics of ovarian carcinosarcoma.

Methods: This was a retrospective multicenter study. Patients with a histological diagnosis of ovarian carcinosarcoma, who had undergone preoperative ultrasound examination between 2010 and 2019, were identified from the International Ovarian Tumor Analysis (IOTA) database. Additional patients who were examined outside of the IOTA study were identified from the databases of the participating centers. The masses were described using the terms and definitions of the IOTA group. Additionally, two experienced ultrasound examiners reviewed all available images to identify typical ultrasound features using pattern recognition.

Results: Ninety-one patients with ovarian carcinosarcoma who had undergone ultrasound examination were identified, of whom 24 were examined within the IOTA studies and 67 were examined outside of the IOTA studies. Median age at diagnosis was 66 (range, 33-91) years and 84/91 (92.3%) patients were postmenopausal. Most patients (67/91, 73.6%) were symptomatic, with the most common complaint being pain (51/91, 56.0%). Most tumors (67/91, 73.6%) were International Federation of Gynecology and Obstetrics (FIGO) Stage III or IV. Bilateral lesions were observed on ultrasound in 46/91 (50.5%) patients. Ascites was present in 38/91 (41.8%) patients. The median largest tumor diameter was 100 (range, 18-260) mm. All ovarian carcinosarcomas contained solid components, and most were described as solid (66/91, 72.5%) or multilocular-solid (22/91, 24.2%). The median diameter of the largest solid component was 77.5 (range, 11-238) mm. Moderate or rich vascularization was found in 78/91 (85.7%) cases. Retrospective analysis of ultrasound images and videoclips using pattern recognition in 73 cases revealed that all tumors had irregular margins and inhomogeneous echogenicity of the solid components. Forty-seven of 73 (64.4%) masses appeared as a solid tumor with cystic areas. Cooked appearance of the solid tissue was identified in 28/73 (38.4%) tumors. No pathognomonic ultrasound sign of ovarian carcinosarcoma was found.

Conclusions: Ovarian carcinosarcomas are usually diagnosed in postmenopausal women and at an advanced stage. The most common ultrasound appearance is a large solid tumor with irregular margins, inhomogeneous echogenicity of the solid tissue and cystic areas. The second most common pattern is a large multilocular-solid mass with inhomogeneous echogenicity of the solid tissue. © 2021 International Society of Ultrasound in Obstetrics and Gynecology.

Citing Articles

Ovarian carcinosarcoma with lung metastasis characterized by persistent fever: A case report and literature review.

Wang W, Ji X, Yang H, Wang X Medicine (Baltimore). 2024; 103(43):e40202.

PMID: 39470528 PMC: 11521086. DOI: 10.1097/MD.0000000000040202.


Unveiling the mille-feuille sign: a key to diagnosing ovarian carcinosarcoma in addition to ovarian metastasis from colorectal carcinoma on MRI.

Watanabe Y, Matsuki M, Nakamata A, Masuoka S, Kikuchi T, Fujii H Abdom Radiol (NY). 2024; 49(7):2499-2512.

PMID: 38860998 DOI: 10.1007/s00261-024-04395-5.


Radiomics analysis of ultrasound images to discriminate between benign and malignant adnexal masses with solid morphology on ultrasound.

Moro F, Vagni M, Tran H, Bernardini F, Mascilini F, Ciccarone F Ultrasound Obstet Gynecol. 2024; 65(3):353-363.

PMID: 38748935 PMC: 11872347. DOI: 10.1002/uog.27680.


Sonographic and Magnetic Resonance Characteristics of Gynecological Sarcoma.

Camponovo C, Neumann S, Zosso L, Mueller M, Raio L Diagnostics (Basel). 2023; 13(7).

PMID: 37046441 PMC: 10092971. DOI: 10.3390/diagnostics13071223.


Epidemiology and prediction model of patients with carcinosarcoma in the United States.

Chen M, He X, Yang Q, Zhang J, Peng J, Wang D Front Public Health. 2022; 10:1038211.

PMID: 36518582 PMC: 9742429. DOI: 10.3389/fpubh.2022.1038211.