Clinical and imaging features of carcinosarcoma of the uterus and cervix.

Cervix Diagnosis Magnetic resonance imaging Tomography (X-ray computed) Uterine carcinosarcoma

Journal

Insights into imaging
ISSN: 1869-4101
Titre abrégé: Insights Imaging
Pays: Germany
ID NLM: 101532453

Informations de publication

Date de publication:
21 Oct 2021
Historique:
received: 18 05 2021
accepted: 23 08 2021
entrez: 21 10 2021
pubmed: 22 10 2021
medline: 22 10 2021
Statut: epublish

Résumé

The purpose of our study was to analyze the clinical and imaging features of uterine carcinosarcoma (UCS) and cervical carcinosarcoma (CCS), and to explore the diagnostic and staging accuracy of computed tomography (CT) and magnetic resonance imaging (MRI) examinations. 41 patients including 37 with UCS and 4 with CCS from July 2011 to September 2020 were enrolled in the study. Of the 37 UCS cases, 7 had CT images, 27 had MRI images, and 3 had both CT and MRI images. The Clinical data, CT or MRI imaging findings were analyzed. Diagnosis and staging accuracy of CT and MRI images were also analyzed. Carcinosarcoma usually occurs in postmenopausal women (40/41), with the typical clinical symptom being vaginal bleeding (33/41). The CA125 degree was significantly different between the two invasion depth groups (p = 0.011). Most uterine carcinosarcomas showed unclear boundaries, uneven density, low or equal signal on T1WI, high or mixed signal on T2WI, uneven high signal on diffusion-weighted image (DWI), and mild enhancement. The diagnostic accuracies of CT and MRI for carcinosarcoma were 0% and 3.33%, respectively. The diagnostic accuracy for malignant tumors on CT and MRI was 50% and 83.33%, respectively. Carcinosarcoma lesions presented with huge mass filling in the cavity, and some presented with small polypoid lesions or endometrial thickening. Evaluation of lymph node metastasis is a significant challenge for imaging staging.

Identifiants

pubmed: 34674042
doi: 10.1186/s13244-021-01084-5
pii: 10.1186/s13244-021-01084-5
pmc: PMC8531181
doi:

Types de publication

Journal Article

Langues

eng

Pagination

142

Subventions

Organisme : The National Nature Foundation of China
ID : 81971615

Informations de copyright

© 2021. The Author(s).

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Auteurs

Liming Li (L)

Department of Radiology, The First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, Zhengzhou, 450052, Henan, China.

Wenpeng Huang (W)

Department of Radiology, The First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, Zhengzhou, 450052, Henan, China.

Kangkang Xue (K)

Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, Zhengzhou, 450052, Henan, China.

Leiyu Feng (L)

Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, Zhengzhou, 450052, Henan, China.

Yijing Han (Y)

Department of Radiology, The First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, Zhengzhou, 450052, Henan, China.

Rui Wang (R)

Department of Radiology, The First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, Zhengzhou, 450052, Henan, China.

Jianbo Gao (J)

Department of Radiology, The First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, Zhengzhou, 450052, Henan, China. jianbogaochina@163.com.

Classifications MeSH