ArticleJournal of clinical and diagnostic research : JCDR2017
Role of Functional Magnetic Resonance Imaging Derived Parameters as Imaging Biomarkers and Correlation with Clinicopathological Features in Carcinoma of Uterine Cervix.
Article in Journal of clinical and diagnostic research : JCDR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Development and validation of ADC-based nomogram model for predicting the prognostic factors in preoperative clinical early-stage cervical cancer patients.Abdominal radiology (New York) · 2025Article
- Radiomics analysis based on multiparametric magnetic resonance imaging for differentiating early stage of cervical cancer.Frontiers in medicine · 2024Article
- Added value of radiomics analysis in MRI invisible early-stage cervical cancers.The British journal of radiology · 2022Article
- Cervical Carcinoma: Evaluation Using Diffusion MRI With a Fractional Order Calculus Model and its Correlation With Histopathologic Findings.Frontiers in oncology · 2022Article
- MRI texture features differentiate clinicopathological characteristics of cervical carcinoma.European radiology · 2020Article
- What Is the Role of Imaging at Primary Diagnostic Work-Up in Uterine Cervical Cancer?Current oncology reports · 2019Review
- Role of apparent diffusion coefficient as a biomarker in the evaluation of cervical cancer.The Indian journal of radiology & imagingArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
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Abstract
introductionMagnetic Resonance Imaging (MRI) is emerging as a powerful tool in the evaluation and management of cervical cancer. The role of Diffusion Weighted Imaging (DWI) with Apparent Diffusion Coefficient (ADC) as a non-invasive imaging biomarker is promising in characterization of the tumour and prediction of response.
aimThe aim of this study was to evaluate the role of conventional MRI and diffusion weighted MRI in predicting clinicopathological prognostic factors. MATERIALS AND
methodsThis was a retrospective study. The data of 100 cervical cancer patients who had MRI with DWI was retrieved from the database and analysed. Clinico pathological details were collected from the computerized hospital information system. SPSS version 15.0 was used for statistical analysis.
resultsThe mean tumour dimensions on MRI in x, y and z axes were 43.04 mm (±13.93, range: 17-85), 37.05mm (±11.83, range: 9-80) and 39.63 mm (±14.81, range: 14 -76). The mean T
conclusionHigher ADC values are associated with favourable histology and differentiation. Adenocarcinomas have higher ADC values followed by adenosquamous followed by squamous cell carcinomas. Well differentiated tumours had higher ADC values than moderately followed by poorly differentiated tumours. DWI with ADC have a potential role as an imaging biomarker for prognostication and needs further studies for routine clinical applications.
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