scholarly journals Association analysis between quantitative MRI features and hypoxia-related genetic profiles in prostate cancer: a pilot study

2019 ◽  
Vol 92 (1104) ◽  
pp. 20190373 ◽  
Author(s):  
Yu Sun ◽  
Scott Williams ◽  
David Byrne ◽  
Simon Keam ◽  
Hayley M. Reynolds ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Pilot Study ◽  
Glucose Transporter ◽  
Pearson Correlation ◽  
Texture Features ◽  
Quantitative Mri ◽  
Imaging Features ◽  
Selective Treatment ◽  
Mri Features ◽  
Genetic Profiles

Objective: To investigate the association between multiparametric MRI (mpMRI) imaging features and hypoxia-related genetic profiles in prostate cancer. Methods: In vivo mpMRI was acquired from six patients prior to radical prostatectomy. Sequences included T2 weighted (T2W) imaging, diffusion-weighted imaging, dynamic contrast enhanced MRI and blood oxygen-level dependent imaging. Imaging data were co-registered with histology using three-dimensional deformable registration methods. Texture features were extracted from T2W images and parametric maps from functional MRI. Full transcriptome genetic profiles were obtained using next generation sequencing from the prostate specimens. Pearson correlation coefficients were calculated between mpMRI data and hypoxia-related gene expression levels. Results were validated using glucose transporter one immunohistochemistry (IHC). Results: Correlation analysis identified 34 candidate imaging features (six from the mpMRI data and 28 from T2W texture features). The IHC validation showed that 16 out of the 28 T2W texture features achieved weak but significant correlations (p < 0.05). Conclusions: Weak associations between mpMRI features and hypoxia gene expressions were found. This indicates the potential use of MRI in assessing hypoxia status in prostate cancer. Further validation is required due to the low correlation levels. Advances in knowledge: This is a pilot study using radiogenomics approaches to address hypoxia within the prostate, which provides an opportunity for hypoxia-guided selective treatment techniques.

Quantitative Multiparametric MRI Features and PTEN Expression of Peripheral Zone Prostate Cancer: A Pilot Study

2016 ◽  
Vol 206 (3) ◽  
pp. 559-565 ◽  
Author(s):  
Stephanie M. McCann ◽  
Yulei Jiang ◽  
Xiaobing Fan ◽  
Jianing Wang ◽  
Tatjana Antic ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Pilot Study ◽  
Peripheral Zone ◽  
Multiparametric Mri ◽  
Pten Expression ◽  
Mri Features

Diagnostic interpretation of non-contrast qualitative MR imaging features for characterisation of uterine leiomyosarcoma

2021 ◽  
pp. 20210115
Author(s):  
Hilal Sahin ◽  
Janette Smith ◽  
Jeries Paolo Zawaideh ◽  
Amreen Shakur ◽  
Luca Carmisciano ◽  
...  
Keyword(s):  
Univariate Analysis ◽  
Menopausal Status ◽  
Quantitative Mri ◽  
Uterine Leiomyosarcoma ◽  
Imaging Features ◽  
Multidisciplinary Team Meeting ◽  
Likert Score ◽  
Mri Features ◽  
Post Menopausal ◽  
Reader Reliability

Objective: To assess the value of non-contrast MRI features for characterisation of uterine leiomyosarcoma (LMS) and differentiation from atypical benign leiomyomas Methods: This study included 57 atypical leiomyomas and 16 LMS which were referred preoperatively for management review to the specialist gynae-oncology multidisciplinary team meeting. Non-contrast MRIs were retrospectively reviewed by five independent readers (three senior, two junior) and a five-level Likert score (1-low/5-high) was assigned to each mass for likelihood of LMS. Evaluation of qualitative and quantitative MRI features was done using uni- and multi variable regression analysis. Inter reader reliability for the assessment of MRI features was calculated by using Cohen’s κ values. Results: In the univariate analysis, interruption of the endometrial interface and irregular tumour shape had the highest Odds ratios (OR) (64.00, p < 0.001 and 12.00, p = 0.002, respectively) for prediction of LMS. Likert score of the mass was significant in prediction (OR, 3.14; p < 0.001) with excellent reliability between readers (ICC 0.86; 95% CI, 0.76–0.92). The post-menopausal status, interruption of endometrial interface and thickened endometrial stripe were the most predictive independent variables in multivariable estimation of the risk of leiomyosarcoma with an accuracy of 0.88 (95%CI, 0.78–0.94). Conclusion: At any level of expertise as a radiologist reader, the loss of the normal endometrial stripe (either thickened or not seen) in a post-menopausal patient with a myometrial mass was highly likely to be LMS. Advances in knowledge: This study demonstrates the potential utility of non-contrast MRI features in characterisation of LMS over atypical leiomyomas and therefore influence on optimal management of these cases.

Myxofibrosarcoma: clinical and prognostic value of MRI features

2020 ◽  
Vol 16 ◽  
Author(s):  
Paolo Spinnato ◽  
Andrea Sambri ◽  
Tomohiro Fujiwara ◽  
Luca Ceccarelli ◽  
Roberta Clinca ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Local Recurrence ◽  
Contrast Enhancement ◽  
Imaging Modality ◽  
Soft Tissue Sarcomas ◽  
The Elderly ◽  
High Rate ◽  
Imaging Features ◽  
High Grade ◽  
Mri Features

: Myxofibrosarcoma is one of the most common soft tissue sarcomas in the elderly. It is characterized by an extremely high rate of local recurrence, higher than other soft tissue tumors, and a relatively low risk of distant metastases.Magnetic resonance imaging (MRI) is the imaging modality of choice for the assessment of myxofibrosarcoma and plays a key role in the preoperative setting of these patients.MRI features associated with high risk of local recurrence are: high myxoid matrix content (water-like appearance of the lesions), high grade of contrast enhancement, presence of an infiltrative pattern (“tail sign”). On the other hand, MRI features associated with worse sarcoma specific survival are: large size of the lesion, deep location, high grade of contrast enhancement. Recognizing the above-mentioned imaging features of myxofibrosarcoma may be helpful to stratify the risk for local recurrence and disease-specific survival. Moreover, the surgical planning should be adjusted according to the MRI features

Sign in / Sign up

Export Citation Format

Share Document