Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Martin D. Pickles"'
Autor:
Roja Hedayati, Peter Gibbs, Steinar Lundgren, Pål Erik Goa, Jose R. Teruel, Ioanna Chronaiou, Martin D. Pickles, Guro F. Giskeødegård, Else Marie Huuse, Beathe Sitter, Tone Frost Bathen
Publikováno v:
Acta Radiologica
Background The prognosis for women with locally advanced breast cancer (LABC) is poor and there is a need for better treatment stratification. Gray-level co-occurrence matrix (GLCM) texture analysis of magnetic resonance (MR) images has been shown to
Autor:
Craig J Galbán, Bing Ma, Dariya Malyarenko, Martin D Pickles, Kevin Heist, Norah L Henry, Anne F Schott, Colleen H Neal, Nola M Hylton, Alnawaz Rehemtulla, Timothy D Johnson, Charles R Meyer, Thomas L Chenevert, Lindsay W Turnbull, Brian D Ross
Publikováno v:
PLoS ONE, Vol 10, Iss 3, p e0122151 (2015)
PurposeTo evaluate diffusion weighted MRI (DW-MR) as a response metric for assessment of neoadjuvant chemotherapy (NAC) in patients with primary breast cancer using prospective multi-center trials which provided MR scans along with clinical outcome i
Externí odkaz:
https://doaj.org/article/f38230b542824a37b5543fad65f16c3f
Autor:
Martin D. Pickles, Lindsay W. Turnbull, Ayesha Rahman, Peter Gibbs, Caroline Bradley, A Hubbard, Ronjabati Roychaudhury, Joanna Wieczorek
Publikováno v:
Senologie - Zeitschrift für Mammadiagnostik und -therapie. 15:146-152
Purpose To report the feasibility, accuracy and initial clinical experience of the use of real-time magnetic resonance navigated ultrasound (rtMRnUS) in the surgical planning of breast-conserving surgery (BCS) via guide wire insertion. Materials and
Publikováno v:
Investigative Radiology. 51:177-185
The aim of this study was to determine if associations exist between pretreatment dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI)-based metrics (vascular kinetics, texture, shape, size) and survival intervals. Furthermore, the aim of
Publikováno v:
Journal of Magnetic Resonance Imaging. 43:903-910
Background This work aims to see whether Minkowski Functionals can be used to distinguish between cancer types before chemotherapy treatment has begun, and whether a response to treatment can be predicted by an initial scan alone. Methods Fat-nulled
Autor:
Tone Frost Bathen, Peter Gibbs, Mariann G. Heldahl, Martin D. Pickles, Steinar Lundgren, Pål Erik Goa, Jose R. Teruel
Publikováno v:
NMR in Biomedicine. 27:887-896
The aim of this study was to investigate the potential of texture analysis, applied to dynamic contrast-enhanced MRI (DCE-MRI), to predict the clinical and pathological response to neoadjuvant chemotherapy (NAC) in patients with locally advanced brea
Publikováno v:
Journal of Magnetic Resonance Imaging. 38:89-101
Purpose To assess the efficacy of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)-based textural analysis in predicting response to chemotherapy in a cohort of breast cancer patients. Materials and Methods In all, 100 patients were sca
Autor:
Lindsay W. Turnbull, Peter Gibbs, Martin D. Pickles, Bashar Zelhof, Greta Rodrigues, Gary P Liney
Publikováno v:
Investigative Radiology. 44:572-576
OBJECTIVES: To assess the relationship between MRI derived parameters (apparent diffusion coefficient (ADC) and T2 relaxation time) and tumor cellularity as determined from whole mounted radical prostatectomy specimens, for both prostatic carcinoma a
Autor:
Bashar Zelhof, Martin D. Pickles, Lindsay W. Turnbull, Gary P Liney, Peter Gibbs, Martin Lowry
Publikováno v:
Investigative Radiology. 44:577-584
Objectives: The ability to detect and identify malignant lesions within the prostate with conventional T 2 -weighted imaging is still limited. Although lesion conspicuity is improved with dynamic contrast-enhanced imaging there still remains some amb
Publikováno v:
Magnetic Resonance Imaging. 26:26-34
The aim of this study was to investigate the utility of the water T(2) values of malignant breast lesions in predicting response after the first and second cycles of neoadjuvant chemotherapy (NAC), both alone and in combination with lesion volumes. T