Table 1. Existing literature on the use of breast MRI to monitor response to chemotherapy.

Author	Origin	Year	Number	Measurement	Pathology response
Knopp et al (1994)	Heidelberg, Germany	1994	Three case studies		Promising prediction
Gilles et al (1994)	Villejuif, France	1994	18		(15 out of 18) 83% Highly predictive of residual tumour
Abraham et al (1996)	Dallas & Little Rock, USA	1996	39		MRI correctly predicted residual disease in 30 out of 31 (97%)
Rieber et al (1997)	Ulm, Germany	1997	13		Underestimates residual tumour
Trecate et al (1998)	Milano, Italy	1998	27		Valid tool for monitoring response
Tsuboi et al (1999)	Kochi, Japan	1999	31		Valuable for predicting response and margins
Weatherall et al (2001)	Dallas, TX, USA	2001	22	Cc0.93MR, 0.63 mam	Accurate assessment of residual tumour
Nakamura et al (2001)	Tokyo, Japan	2001	15		Predict possibility of WLE. Mapping of dendritic tumours
Drew et al (2001)	Hull, UK	2001	17	Sensitivity 100%	Accurate method of predicting residual tumour
Esserman et al (2001)	UCSF	2001	33		Patterns of tumours identified
Partridge et al (2002)	UCSF	2002	52	R0.89, C0.60	MRI detected all residual disease
Balu-Maestro et al (2002)	Nice, France	2002	60 in 51 women		Valuable tool for size & multifocality prior to surgery
Rieber et al (2002)	Ulm, Germany	2002	58	Accuracy NR 83.3%, PR 82.4%	Good for assessing response to chemo, unreliable in CR cases where 66.7% had residual tumour
Cheung et al (2003)	Kwei San, Taiwan	2003	33		Useful to assess early response and predict tumour size change
Delille et al (2003)	Harvard, USA	2003	14	EFPcount accurate measure (P<.02)	Extraction flow product as marker of tumour response