The impact of multiparametric MRI features to identify the presence of prevalent cribriform pattern in the peripheral zone tumors

Author(s):  
Caterina Gaudiano ◽  
Lorenzo Bianchi ◽  
Antonio De Cinque ◽  
Beniamino Corcioni ◽  
Francesca Giunchi ◽  
...  
2019 ◽  
Vol 212 (1) ◽  
pp. 124-129 ◽  
Author(s):  
Aritrick Chatterjee ◽  
Sevil Tokdemir ◽  
Alexander J. Gallan ◽  
Ambereen Yousuf ◽  
Tatjana Antic ◽  
...  

2016 ◽  
Vol 206 (3) ◽  
pp. 559-565 ◽  
Author(s):  
Stephanie M. McCann ◽  
Yulei Jiang ◽  
Xiaobing Fan ◽  
Jianing Wang ◽  
Tatjana Antic ◽  
...  

Author(s):  
Shingo Kihira ◽  
Nadejda Tsankova ◽  
Adam Bauer ◽  
Yu Sakai ◽  
Keon Mahmoudi ◽  
...  

Abstract Background Early identification of glioma molecular phenotypes can lead to understanding of patient prognosis and treatment guidance. We aimed to develop a multiparametric MRI texture analysis model using a combination of conventional and diffusion MRI to predict a wide range of biomarkers in patients with glioma. Methods In this retrospective study, patients were included if they 1) had diagnosis of gliomas with known IDH1, EGFR, MGMT, ATRX, TP53 and PTEN status from surgical pathology and 2) had preoperative MRI including FLAIR, T1c+ and diffusion for radiomic texture analysis. Statistical analysis included logistic regression and receiver-operating characteristic (ROC) curve analysis to determine the optimal model for predicting glioma biomarkers. A comparative analysis between ROCs (conventional only vs. conventional + diffusion) was performed. Results From a total of 111 patients included, 91 (82%) were categorized to training and 20 (18%) to test datasets. Constructed cross-validated model using a combination of texture features from conventional and diffusion MRI resulted in overall AUC/accuracy of 1/79% for IDH1, 0.99/80% for ATRX, 0.79/67% for MGMT, and 0.77/66% for EGFR. The addition of diffusion data to conventional MRI features significantly (p<0.05) increased predictive performance for IDH1, MGMT and ATRX. The overall accuracy of the final model in predicting biomarkers in the test group was 80% (IDH1), 70% (ATRX), 70% (MGMT) and 75% (EGFR). Conclusion Addition of MR diffusion to conventional MRI features provides added diagnostic value in preoperative determination of IDH1, MGMT, and ATRX in patients with glioma.


2014 ◽  
Vol 2014 ◽  
pp. 1-23 ◽  
Author(s):  
Flavio Barchetti ◽  
Valeria Panebianco

The clinical suspicion of local recurrence of prostate cancer (PCa) after radical prostatectomy (RP) and after radiation therapy (RT) is based on the onset of biochemical failure. The aim of this paper was to review the current role of multiparametric-MRI (mp-MRI) in the detection of locoregional recurrence. A systematic literature search using the Medline and Cochrane Library databases was performed from January 1995 up to November 2013. Bibliographies of retrieved and review articles were also examined. Only those articles reporting complete data with clinical relevance for the present review were selected. This review article is divided into two major parts: the first one considers the role of mp-MRI in the detection of PCa local recurrence after RP; the second part provides an insight about the impact of mp-MRI in the depiction of locoregional recurrence after RT (interstitial or external beam). Published data indicate an emerging role for mp-MRI in the detection and localization of locally recurrent PCa both after RP and RT which represents an information of paramount importance to perform focal salvage treatments.


2017 ◽  
pp. 20170645 ◽  
Author(s):  
Mrishta Brizmohun Appayya ◽  
Harbir S Sidhu ◽  
Nikolaos Dikaios ◽  
Edward W Johnston ◽  
Lucy AM Simmons ◽  
...  

2020 ◽  
Vol 20 ◽  
pp. S138
Author(s):  
M. Ferriero ◽  
V. Panebianco ◽  
M. Pecoraro ◽  
R. Mastroianni ◽  
C. De Nunzio ◽  
...  

Biologia ◽  
2015 ◽  
Vol 70 (6) ◽  
Author(s):  
Peter Klimant ◽  
Ivan Baláž ◽  
Zuzana Krumpálová

AbstractThe study is focused on analyses of the impact of urbanized environment on the occurrence and structure of small mammals that are important with regard to transmission of diseases to man and domestic animals. The city of Nitra (Slovakia) was chosen as a model area, where an urban - rural gradient was determined. It was categorized into three zones, depending on the distance from the city centre. Small mammals were examined by a comprehensive annual research during the seasons. Overall, 12 species of small mammals were found, Microtus arvalis (29.6%), Apodemus sylvaticus (23.1%), Apodemus flavicollis (20.6%) were eudominant. The communities of small mammals showed an increase in species diversity and richness from the suburban to the peripheral zone, and a decrease of diversity and richness with increasing urban conditions from the peripheral to the pericentral zone. The identified species of small mammals were categorized according to their dependence on urban environment as exoanthropic species, avoiding the presence of man and his habitations (A. sylvaticus, A. flavicollis, and Clethrionomys glareolus); hemisynantropic species, which thrive on the edges of towns, with greater or lesser affinity to humans (M. arvalis, Apodemus uralensis, Sorex araneus, Sorex minutus, Mus spicilegus, and Microtus subterraneus); and synanthropic species, tied to human dwellings, very dependent on human resources (Crocidura suaveolens).


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