Diffusion magnetic resonance imaging in breast cancer characterisation: correlations between the apparent diffusion coefficient and major prognostic factors

Paolo Belli; Melania Costantini; Enida Bufi; Giovanni Giuseppe Giardina; Pierluigi Rinaldi; Gianluca Franceschini; Lorenzo Bonomo

doi:10.1007/s11547-014-0442-8

Diffusion magnetic resonance imaging in breast cancer characterisation: correlations between the apparent diffusion coefficient and major prognostic factors

Paolo Belli
, Melania Costantini
, Enida Bufi
, Giovanni Giuseppe Giardina
, Pierluigi Rinaldi
, Gianluca Franceschini
, Lorenzo Bonomo

Research output: Contribution to journal › Article

26 Citations (Scopus)

Abstract

This study was done to investigate the correlation between the apparent diffusion coefficient (ADC) and prognostic factors of breast cancer.

Original language	English
Pages (from-to)	268-276
Number of pages	9
Journal	Radiologia Medica
Volume	120
DOIs	https://doi.org/10.1007/s11547-014-0442-8
Publication status	Published - 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Adult
Aged
Aged, 80 and over
Algorithms
Breast Neoplasms
Carcinoma in Situ
Carcinoma, Ductal, Breast
Carcinoma, Lobular
Diffusion Magnetic Resonance Imaging
Female
Humans
Image Enhancement
Image Interpretation, Computer-Assisted
Magnetic Resonance Imaging
Middle Aged
Neoplasm Grading
Neoplasm Invasiveness
Predictive Value of Tests
Prognosis
Reproducibility of Results
Retrospective Studies
Sensitivity and Specificity

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10.1007/s11547-014-0442-8

Cite this

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title = "Diffusion magnetic resonance imaging in breast cancer characterisation: correlations between the apparent diffusion coefficient and major prognostic factors",

abstract = "This study was done to investigate the correlation between the apparent diffusion coefficient (ADC) and prognostic factors of breast cancer.",

keywords = "Adult, Aged, Aged, 80 and over, Algorithms, Breast Neoplasms, Carcinoma in Situ, Carcinoma, Ductal, Breast, Carcinoma, Lobular, Diffusion Magnetic Resonance Imaging, Female, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Middle Aged, Neoplasm Grading, Neoplasm Invasiveness, Predictive Value of Tests, Prognosis, Reproducibility of Results, Retrospective Studies, Sensitivity and Specificity, Adult, Aged, Aged, 80 and over, Algorithms, Breast Neoplasms, Carcinoma in Situ, Carcinoma, Ductal, Breast, Carcinoma, Lobular, Diffusion Magnetic Resonance Imaging, Female, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Middle Aged, Neoplasm Grading, Neoplasm Invasiveness, Predictive Value of Tests, Prognosis, Reproducibility of Results, Retrospective Studies, Sensitivity and Specificity",

author = "Paolo Belli and Melania Costantini and Enida Bufi and Giardina, \{Giovanni Giuseppe\} and Pierluigi Rinaldi and Gianluca Franceschini and Lorenzo Bonomo",

year = "2015",

doi = "10.1007/s11547-014-0442-8",

language = "English",

volume = "120",

pages = "268--276",

journal = "Radiologia Medica",

issn = "0033-8362",

}

TY - JOUR

T1 - Diffusion magnetic resonance imaging in breast cancer characterisation: correlations between the apparent diffusion coefficient and major prognostic factors

AU - Belli, Paolo

AU - Costantini, Melania

AU - Bufi, Enida

AU - Giardina, Giovanni Giuseppe

AU - Rinaldi, Pierluigi

AU - Franceschini, Gianluca

AU - Bonomo, Lorenzo

PY - 2015

Y1 - 2015

N2 - This study was done to investigate the correlation between the apparent diffusion coefficient (ADC) and prognostic factors of breast cancer.

AB - This study was done to investigate the correlation between the apparent diffusion coefficient (ADC) and prognostic factors of breast cancer.

KW - Adult

KW - Aged

KW - Aged, 80 and over

KW - Algorithms

KW - Breast Neoplasms

KW - Carcinoma in Situ

KW - Carcinoma, Ductal, Breast

KW - Carcinoma, Lobular

KW - Diffusion Magnetic Resonance Imaging

KW - Female

KW - Humans

KW - Image Enhancement

KW - Image Interpretation, Computer-Assisted

KW - Magnetic Resonance Imaging

KW - Middle Aged

KW - Neoplasm Grading

KW - Neoplasm Invasiveness

KW - Predictive Value of Tests

KW - Prognosis

KW - Reproducibility of Results

KW - Retrospective Studies

KW - Sensitivity and Specificity

KW - Adult

KW - Aged

KW - Aged, 80 and over

KW - Algorithms

KW - Breast Neoplasms

KW - Carcinoma in Situ

KW - Carcinoma, Ductal, Breast

KW - Carcinoma, Lobular

KW - Diffusion Magnetic Resonance Imaging

KW - Female

KW - Humans

KW - Image Enhancement

KW - Image Interpretation, Computer-Assisted

KW - Magnetic Resonance Imaging

KW - Middle Aged

KW - Neoplasm Grading

KW - Neoplasm Invasiveness

KW - Predictive Value of Tests

KW - Prognosis

KW - Reproducibility of Results

KW - Retrospective Studies

KW - Sensitivity and Specificity

UR - http://hdl.handle.net/10807/67085

U2 - 10.1007/s11547-014-0442-8

DO - 10.1007/s11547-014-0442-8

M3 - Article

SN - 0033-8362

VL - 120

SP - 268

EP - 276

JO - Radiologia Medica

JF - Radiologia Medica

ER -

Diffusion magnetic resonance imaging in breast cancer characterisation: correlations between the apparent diffusion coefficient and major prognostic factors

Abstract

UN SDGs

Keywords

Access to Document

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