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MRI-Based Radiomics Analysis for the Pretreatment Prediction of Pathologic Complete Tumor Response to Neoadjuvant Systemic Therapy in Breast Cancer Patients: A Multicenter Study

; ; ; ; ; ; ; ; ; ; ; ;

In
Special Issue "PET and MRI Radiomics in Cancer Predictive Modeling" / Special Issue Editors: Dr. Mathieu Hatt, Guest Editor; Prof. Catherine Cheze Le Rest, Guest Editor; Dr. Ulrike Schick, Guest Editor; Dr. Thomas C Booth, Guest Editor

In
Cancers 13(10), Seiten/Artikel-Nr.:2447

ImpressumBasel : MDPI

Umfang[1]-17

ISSN2072-6694

Online
DOI: 10.3390/cancers13102447

DOI: 10.18154/RWTH-CONV-248443
URL: https://publications.rwth-aachen.de/record/851355/files/851355.pdf

Einrichtungen

  1. Klinik und Lehrstuhl für Nuklearmedizin (532500-2)


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Dokumenttyp
Journal Article/Contribution to a book

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85105871403
WOS Core Collection: WOS:000654717700001
PubMed: pmid:34070016

Interne Identnummern
RWTH-CONV-248443
Datensatz-ID: 851355

Beteiligte Länder
Belgium, Germany, Netherlands

 GO


Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; DOAJ Seal ; Ebsco Academic Search ; Essential Science Indicators ; Fees ; IF >= 5 ; JCR ; PubMed Central ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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 Record created 2022-08-12, last modified 2023-02-02


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