Integration of diffusion-weighted MRI data and a simple mathematical model to predict breast tumor cellularity during neoadjuvant chemotherapy

Magnetic Resonance in Medicine

Volumn 66, Issue 6, 2011, Pages 1689-1696

  Atuegwu, Nkiruka C ^a,b   Arlinghaus, Lori R ^a,b   Li, Xia ^a,b   Welch, E Brian ^a,b   Chakravarthy, Bapsi A ^b,c   Gore, John C ^a,b,c,d,e   Yankeelov, Thomas E ^a,b,c,d,e  

^a VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

^b VANDERBILT UNIVERSITY   (United States)

^c VANDERBILT INGRAM CANCER CENTER   (United States)

^d VANDERBILT UNIVERSITY   (United States)

^e VANDERBILT UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

breast cancer; cellularity; diffusion MRI; mathematical model; tumor growth

Indexed keywords

CHEMOTHERAPY; CORRELATION METHODS; ESTIMATION; FORECASTING; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; SURFACE DIFFUSION;

APPARENT DIFFUSION COEFFICIENT; BREAST CANCER; CELLULARITY; DIFFUSION MRIS; DIFFUSION-WEIGHTED MAGNETIC RESONANCE IMAGING; PEARSON CORRELATION COEFFICIENTS; PEARSON'S CORRELATION COEFFICIENTS; TUMOR GROWTH;

TUMORS;

CISPLATIN; EVEROLIMUS; PACLITAXEL;

ARTICLE; BREAST CANCER; CALCULATION; CANCER ADJUVANT THERAPY; CANCER CELL; CANCER GROWTH; CELL PROLIFERATION; CLINICAL ARTICLE; DIFFUSION COEFFICIENT; DIFFUSION WEIGHTED IMAGING; HUMAN; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; MATHEMATICAL MODEL; MULTIPLE CYCLE TREATMENT; NUCLEAR MAGNETIC RESONANCE SCANNER; PREDICTION;

EID: 81355160433     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.23203     Document Type: Article

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