Literature DB >> 30700345

Diffusion-Weighted Magnetic Resonance Imaging (DWI) Parameters in Benign and Malignant Ovarian Tumors with Solid and Cystic Components.

Yan Zhuang1, Tianping Wang1, Guofu Zhang1.   

Abstract

OBJECTIVE: To determine the values of diffusion-weighted magnetic resonance imaging (DWI) parameters on differential diagnosis of benign and malignant ovarian tumours with solid and cystic components. STUDY
DESIGN: An observational study. PLACE AND DURATION OF STUDY: Department of Radiology, Obstetrics and Gynecology Hospital of Fudan University, China, from January to December 2017.
METHODOLOGY: Forty-four cases of malignant and benign ovarian tumours were selected as respective groups. Inclusion criteria were ovarian masses found by pelvic and abdominal imaging examination. Exclusion criteria of two groups were endometriosis and pelvic inflammatory diseases found by relevant examination, those with chronic diseases, tumors in other organs found by relevant examination, and those with family cancer history. Conventional MRI plain scans, enhanced scans and DWI scans, were performed after admission. Apparent diffusion coefficient (ADC) and exponential apparent diffusion imaging (eADC) of solid lesions of two groups were recorded and compared.
RESULTS: Solid ADC in malignant group was lower than that in benign group (p<0.001). Solid eADC in malignant group was higher than that in benign group (p<0.001).
CONCLUSION: Diffusion-weighted magnetic resonance imaging is of high application value in the differential diagnosis of benign and malignant ovarian tumours with solid and cystic components, and it is worthy of promotion and application.

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Mesh:

Year:  2019        PMID: 30700345     DOI: 10.29271/jcpsp.2019.02.105

Source DB:  PubMed          Journal:  J Coll Physicians Surg Pak        ISSN: 1022-386X            Impact factor:   0.711


  2 in total

1.  Diagnostic Value and Clinical Application of Diffusion-Weighted Magnetic Resonance Imaging for Female Pelvic Lesions.

Authors:  Lulu Gao; Qing Lu; Yanting Wu
Journal:  Contrast Media Mol Imaging       Date:  2022-06-20       Impact factor: 3.009

Review 2.  Diffusion-Weighted Magnetic Resonance Imaging in Ovarian Cancer: Exploiting Strengths and Understanding Limitations.

Authors:  Tanja Gagliardi; Margaret Adejolu; Nandita M deSouza
Journal:  J Clin Med       Date:  2022-03-10       Impact factor: 4.241

  2 in total

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