Dynamic contrast-enhanced magnetic resonance imaging (DCE MRI) is a method
of imaging the physiology of the microcirculation. A series of recent clini
cal studies have shown that DCE MRI can measure and predict tumor response
to therapy. Recent advances in MR technology provide the enhanced spatial a
nd temporal resolution that allow the application of this methodology in th
e management of cancer patients, The September Issue of this journal provid
ed a microcirculation section to update readers on this exciting and challe
nging topic, Evidence is mounting that DCE MRI-based measures correlate wel
l with tumor angiogenesis, DCE MRI has already been shown in several types
of tumors to correlate well with traditional outcome measures, such as hist
opathologic studies, and with survival, These new measures are sensitive to
tumor physiology and to the pharmacokinetics of the contrast agent in indi
vidual tumors. Moreover, they can present anatomical images of tumor microc
irculation at excellent spatial resolution. Several issues have emerged fro
m recent international workshops that must be addressed to move this method
ology into routine clinical practice. First, is complex modeling of DCE MRI
really necessary to answer clinical questions reliably? Clinical research
has shown that, for tumors such as bone sarcomas, reliable outcome measures
of tumor response to chemotherapy can be extracted from DCE MRI by methods
ranging from simple However, the use of similar methods to answer a differ
ent question-the differentiation of malignant from benign breast tumors-has
yielded contradictory results. Thus, no simple, one-size-fits-all-tumors s
olution has yet been identified. Second, what is the most rational and reli
able data collection procedure for the DCE MRI evaluation? Several groups h
ave addressed population variations in some key variables, such as tumor T(
1)0 (T-1 prior to contrast administration) and the arterial input function
C-a(t) for contrast agent, and how they influence the precision and accurac
y of DCE MRI outcomes. However, despite these potential complications, clin
ical studies in this section show that some tumor types can be assessed by
relatively simple dynamic measures and analyses. The clinical scenario and
tumor type may well determine the required complexity of the DCE MRI exam p
rocedure and its analysis. Finally, we suggest that a consensus on naming c
onventions (nomenclature) is needed to facilitate comparison and analysis o
f the results of studies conducted at different centers, (C) 1999 Wiley-Mss
, Inc.