Literature DB >> 34956449

Analysis of quantitative and semi-quantitative parameters of DCE-MRI in differential diagnosis of benign and malignant cervical tumors.

Jun Song1, Yong Gu2, Tingting Du1, Qiyu Liu1.   

Abstract

OBJECTIVE: To explore and analyze the value of quantitative and semi-quantitative parameters of dynamic contrast enhanced-magnetic resonance imaging (DCE-MRI) in the differential diagnosis of benign and malignant cervical tumors.
METHODS: A total of 51 patients with cervical tumor who were treated in our hospital from April 2017 to October 2019 were recruited as the research subjects. All patients underwent conventional MRI plain scan and DCE-MRI examination. With histopathological results as the gold standard, the participants were classified into a malignant tumor group (n = 36) and a benign tumor group (n = 15) on the basis of the nature of the cervical tumor. The difference of quantitative and semi-quantitative parameters of DCE-MRI between the two groups was compared, and the specificity, sensitivity, negative and positive predictive values of quantitative and semi-quantitative parameters in differentiating benign from malignant cervical tumors were analyzed to evaluate the value of quantitative and semi-quantitative parameters of DCE-MRI in the differential diagnosis of benign and malignant cervical tumors.
RESULTS: The quantitative parameters Kep, Ktrans and Ve of DCE-MRI in the malignant-tumor-group were critically higher than that in the benign tumor group (P<0.05). When distinguishing between the benign and malignant cervical tumors, the specificity and sensitivity of kep, Ktrans and Ve were higher in the differential diagnosis of malignant cervical tumors than in the benign cervical tumors. The peak of the malignant tumor group was remarkably earlier than that of the benign tumor group, and SI60% of the malignant tumor group was dramatically higher than that of benign tumor group (P<0.05). In addition, compared with benign cervical tumors, the semi-quantitative parameters of DCE-MR TTP and SI60% were more sensitive to malignant cervical tumors.
CONCLUSION: The quantitative and semi-quantitative parameters of DCE-MRI have high value in differentiating benign and malignant cervical tumors. When adopting conventional MRI to diagnose oncologic cervical tumors, the differential diagnosis of quantitative and semi-quantitative parameters of DCE-MRI has demonstrated a high clinical value by avoiding unnecessary radical surgeries. AJTR
Copyright © 2021.

Entities:  

Keywords:  Magnetic resonance imaging; cervical tumors; dynamic contrast enhanced-magnetic resonance imaging; quantitative parameters; semi-quantitative parameters; value of differential diagnosis

Year:  2021        PMID: 34956449      PMCID: PMC8661164     

Source DB:  PubMed          Journal:  Am J Transl Res        ISSN: 1943-8141            Impact factor:   4.060


  21 in total

1.  Differential diagnosis of nasopharyngeal carcinoma and nasopharyngeal lymphoma based on DCE-MRI and RESOLVE-DWI.

Authors:  Chengru Song; Peng Cheng; Jingliang Cheng; Yong Zhang; Mengtian Sun; Shanshan Xie; Xiaonan Zhang
Journal:  Eur Radiol       Date:  2019-08-01       Impact factor: 5.315

2.  Metastatic hepatocellular carcinoma to the occipito-cervical junction: a unique case and literature review.

Authors:  Federica Di Marco; Giada M Vecchio; Biagio Di Stefano; Antonio Pesce; Stefano Puleo
Journal:  ANZ J Surg       Date:  2018-06-12       Impact factor: 1.872

3.  Prognostic Value of Cervical Nodal Necrosis Observed in Preoperative CT and MRI of Patients With Tongue Squamous Cell Carcinoma and Cervical Node Metastases: A Retrospective Study.

Authors:  Sung Hyun Baik; Ji Won Seo; Jun-Hwee Kim; Seung-Koo Lee; Eun Chang Choi; Jinna Kim
Journal:  AJR Am J Roentgenol       Date:  2019-04-30       Impact factor: 3.959

Review 4.  Squamous Cell Carcinoma: PET/CT and PET/MRI of the Pretreatment and Post-Treatment Neck.

Authors:  Katie S Traylor; Nicholas Koontz; Kristine Mosier
Journal:  Semin Ultrasound CT MR       Date:  2019-07-17       Impact factor: 1.875

5.  Evaluating oropharyngeal carcinoma with transcervical ultrasound, CT, and MRI.

Authors:  Farhoud Faraji; Stephanie F Coquia; Meghan B Wenderoth; Ericka S Padilla; Dana Blitz; M Robert DeJong; Nafi Aygun; Ulrike M Hamper; Carole Fakhry
Journal:  Oral Oncol       Date:  2018-02-20       Impact factor: 5.337

6.  The value of shear wave elastography in predicting for undiagnosed small cervical lymph node metastasis in nasopharyngeal carcinoma: A preliminary study.

Authors:  Bin-Bin Chen; Jian Li; Ying Guan; Wei-Wei Xiao; Chong Zhao; Tai-Xiang Lu; Fei Han
Journal:  Eur J Radiol       Date:  2018-03-05       Impact factor: 3.528

7.  Diffusion Kurtosis Imaging in the Assessment of Cervical Carcinoma.

Authors:  Mandi Wang; Jose A U Perucho; Queenie Chan; Jianqing Sun; Philip Ip; Ka Yu Tse; Elaine Y P Lee
Journal:  Acad Radiol       Date:  2019-07-17       Impact factor: 3.173

8.  Machine learning-based multiparametric MRI radiomics for predicting the aggressiveness of papillary thyroid carcinoma.

Authors:  Hao Wang; Bin Song; Ningrong Ye; Jiliang Ren; Xilin Sun; Zedong Dai; Yuan Zhang; Bihong T Chen
Journal:  Eur J Radiol       Date:  2019-11-20       Impact factor: 3.528

Review 9.  Functional MRI for the prediction of treatment response in head and neck squamous cell carcinoma: potential and limitations.

Authors:  Ann D King; Harriet C Thoeny
Journal:  Cancer Imaging       Date:  2016-08-19       Impact factor: 3.909

10.  Ultrasound Elastography supplement assessing nodal status of magnetic resonance imaging staged cervical N0 patients with nasopharyngeal carcinoma.

Authors:  Jian Li; Fei Han; Yunxian Mo; Xindan Chen; Yong Li; Feifei Zuo
Journal:  Cancer Imaging       Date:  2019-03-04       Impact factor: 3.909

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