Literature DB >> 29058233

Apparent diffusion coefficient for prediction of parametrial invasion in cervical cancer: a critical evaluation based on stratification to a Likert scale using T2-weighted imaging.

Sungmin Woo1, Sang Youn Kim2, Jeong Yeon Cho1,3, Seung Hyup Kim1,3.   

Abstract

PURPOSE: To evaluate the value of apparent diffusion coefficient (ADC) for determining parametrial invasion (PMI) in cervical cancer, by stratifying them into subgroups based on a Likert scale using T2-weighted imaging (T2WI).
MATERIALS AND METHODS: This retrospective study included 87 patients with FIGO stage IA2-IIB cervical cancer who underwent preoperative MRI followed by radical hysterectomy. Radiological PMI was assessed on T2WI using a six-point Likert scale and ADC values of the tumors were measured. MRI findings were compared between patients with and without PMI. Differences in ADC according to the Likert scale were also assessed.
RESULTS: 19 (21.8%) patients had pathological PMI. The prevalence of PMI was significantly associated with Likert scale (P < 0.001). ADC values significantly differed according to Likert scale (P < 0.001). However, only tumors with a Likert score of 0 (MRI-invisible) had significantly greater ADC than others (P < 0.001) while no significant difference was observed among tumors with Likert scores of 1-5 (P = 0.070-0.889). Patients with PMI had significantly lower ADC values than those without PMI (P = 0.034). However, no significant difference was seen between patients with and without PMI within each Likert score group (P = 0.180-0.857).
CONCLUSION: T2WI-based Likert score for radiological PMI and ADC values of the tumor were significantly associated with pathological PMI. However, the apparent association seen between ADC values and PMI may be due to contribution of high ADC values of MRI-invisible tumors rather than reflecting their relationship.

Entities:  

Keywords:  Apparent diffusion coefficient; Cervical cancer; Diffusion-weighted imaging; Likert scale; Magnetic resonance imaging; Parametrial invasion

Mesh:

Year:  2017        PMID: 29058233     DOI: 10.1007/s11547-017-0823-x

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  4 in total

1.  Diagnosis of Cervical Cancer With Parametrial Invasion on Whole-Tumor Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined With Whole-Lesion Texture Analysis Based on T2- Weighted Images.

Authors:  Xin-Xiang Li; Ting-Ting Lin; Bin Liu; Wei Wei
Journal:  Front Bioeng Biotechnol       Date:  2020-06-11

2.  Radiomic features of cervical cancer on T2-and diffusion-weighted MRI: Prognostic value in low-volume tumors suitable for trachelectomy.

Authors:  Benjamin W Wormald; Simon J Doran; Thomas Ej Ind; James D'Arcy; James Petts; Nandita M deSouza
Journal:  Gynecol Oncol       Date:  2019-11-02       Impact factor: 5.482

3.  High-Resolution Magnetic Resonance Imaging (HR-MRI) Imaging Characteristics of Vertebral Artery Dissection with Negative MR Routine Scan and Hypoperfusion in Arterial Spin Labeling.

Authors:  Yonggang Zhang; Chongchang Miao; Yan Gu; Shunbin Jiang; Jian Xu
Journal:  Med Sci Monit       Date:  2021-03-10

4.  High-Resolution Magnetic Resonance Imaging (HR-MRI) Evaluation of the Distribution and Characteristics of Intra-Aneurysm Thrombosis to Improve Clinical Diagnosis of Thrombotic Intracranial Aneurysm.

Authors:  Yan Gu; Chongchang Miao; Aimin Li; Yonggang Zhang; Jian Xu
Journal:  Med Sci Monit       Date:  2022-04-11
  4 in total

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