Literature DB >> 30286607

Morphological and functional features prognostic factor of magnetic resonance imaging in locally advanced rectal cancer.

Roberta Fusco1, Vincenza Granata1, Daniela Rega2, Carolina Russo1, Ugo Pace2, Biagio Pecori3, Fabiana Tatangelo4, Gerardo Botti4, Francesco Izzo5, Marco Cascella6, Antonio Avallone7, Paolo Delrio2, Antonella Petrillo1.   

Abstract

Entities:  

Keywords:  Rectal cancer; magnetic resonance imaging; prognostic features

Mesh：

Year:  2018        PMID： 30286607     DOI： 10.1177/0284185118803783

Source DB:  PubMed          Journal:  Acta Radiol        ISSN： 0284-1851            Impact factor:   1.990


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  3 in total

1.  Radiomics and machine learning analysis based on magnetic resonance imaging in the assessment of liver mucinous colorectal metastases.

Authors:  Vincenza Granata; Roberta Fusco; Federica De Muzio; Carmen Cutolo; Sergio Venanzio Setola; Federica Dell'Aversana; Francesca Grassi; Andrea Belli; Lucrezia Silvestro; Alessandro Ottaiano; Guglielmo Nasti; Antonio Avallone; Federica Flammia; Vittorio Miele; Fabiana Tatangelo; Francesco Izzo; Antonella Petrillo
Journal:  Radiol Med       Date:  2022-06-02       Impact factor: 6.313

Review 2.  Diffusion weighted imaging and diffusion kurtosis imaging in abdominal oncological setting: why and when.

Authors:  Vincenza Granata; Roberta Fusco; Andrea Belli; Ginevra Danti; Eleonora Bicci; Carmen Cutolo; Antonella Petrillo; Francesco Izzo
Journal:  Infect Agent Cancer       Date:  2022-06-09       Impact factor: 3.698

3.  Radiomics and Machine Learning Analysis Based on Magnetic Resonance Imaging in the Assessment of Colorectal Liver Metastases Growth Pattern.

Authors:  Vincenza Granata; Roberta Fusco; Federica De Muzio; Carmen Cutolo; Mauro Mattace Raso; Michela Gabelloni; Antonio Avallone; Alessandro Ottaiano; Fabiana Tatangelo; Maria Chiara Brunese; Vittorio Miele; Francesco Izzo; Antonella Petrillo
Journal:  Diagnostics (Basel)       Date:  2022-04-29
  3 in total

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