» Articles » PMID: 33066370

Computer Tomography in the Diagnosis of Ovarian Cysts: The Role of Fluid Attenuation Values

Overview
Specialty Health Services
Date 2020 Oct 17
PMID 33066370
Citations 4
Authors
Affiliations
Soon will be listed here.
Abstract

Pathological analysis of ovarian cysts shows specific fluid characteristics that cannot be standardly evaluated on computer tomography (CT) examinations. This study aimed to assess the ovarian cysts' fluid attenuation values on the native (Np), arterial (Ap), and venous (Vp) contrast phases of seventy patients with ovarian cysts who underwent CT examinations and were retrospectively included in this study. Patients were divided according to their final diagnosis into the benign group ( = 32) and malignant group ( = 38; of which 27 were primary and 11 were secondary lesions). Two radiologists measured the fluid attenuation values on each contrast phase, and the average values were used to discriminate between benign and malignant groups and primary tumors and metastases via univariate, multivariate, multiple regression, and receiver operating characteristics analyses. The Ap densities ( = 0.0002) were independently associated with malignant cysts. Based on the densities measured on all three phases, neoplastic lesions could be diagnosed with 89.47% sensitivity and 62.5% specificity. The Np densities ( = 0.0005) were able to identify metastases with 90.91% sensitivity and 70.37% specificity, while the combined densities of all three phases diagnosed secondary lesions with 72.73% sensitivity and 92.59% specificity. The ovarian cysts' fluid densities could function as an adjuvant criterion to the classic CT evaluation of ovarian cysts.

Citing Articles

Radiomics in the CT diagnosis of ovarian cystic malignancies - a pilot study.

Marginean L, Stefan P, Filep R, Csutak C, Lebovici A, Gherman D Med Pharm Rep. 2024; 97(2):169-177.

PMID: 38746030 PMC: 11090276. DOI: 10.15386/mpr-2594.


CT-Based Radiomic Analysis May Predict Bacteriological Features of Infected Intraperitoneal Fluid Collections after Gastric Cancer Surgery.

Puia V, Lupean R, Stefan P, Fetti A, Valean D, Zaharie F Healthcare (Basel). 2022; 10(7).

PMID: 35885807 PMC: 9324114. DOI: 10.3390/healthcare10071280.


Quantitative MRI of Pancreatic Cystic Lesions: A New Diagnostic Approach.

Stefan P, Lupean R, Lebovici A, Csutak C, Crivii C, Opincariu I Healthcare (Basel). 2022; 10(6).

PMID: 35742090 PMC: 9222599. DOI: 10.3390/healthcare10061039.


Ultrasonography in the Diagnosis of Adnexal Lesions: The Role of Texture Analysis.

Stefan P, Lupean R, Mihu C, Lebovici A, Oancea M, Hitu L Diagnostics (Basel). 2021; 11(5).

PMID: 33947150 PMC: 8145244. DOI: 10.3390/diagnostics11050812.

References
1.
Guo B, Lian W, Liu S, Cao Y, Liu J . Comparison of diagnostic values between CA125 combined with CA199 and ultrasound combined with CT in ovarian cancer. Oncol Lett. 2019; 17(6):5523-5528. PMC: 6507457. DOI: 10.3892/ol.2019.10264. View

2.
Jung S, Lee J, Eun Rha S, Byun J, Jung J, Hahn S . CT and MR imaging of ovarian tumors with emphasis on differential diagnosis. Radiographics. 2002; 22(6):1305-25. DOI: 10.1148/rg.226025033. View

3.
Young R, HART W . Metastatic intestinal carcinomas simulating primary ovarian clear cell carcinoma and secretory endometrioid carcinoma: a clinicopathologic and immunohistochemical study of five cases. Am J Surg Pathol. 1998; 22(7):805-15. DOI: 10.1097/00000478-199807000-00003. View

4.
Zhao Y, Mao X, Yao L, Shen J . Computed tomography imaging features of benign ovarian Brenner tumors. Oncol Lett. 2018; 16(1):1141-1146. PMC: 6063044. DOI: 10.3892/ol.2018.8766. View

5.
Jeong Y, Outwater E, Kang H . Imaging evaluation of ovarian masses. Radiographics. 2000; 20(5):1445-70. DOI: 10.1148/radiographics.20.5.g00se101445. View