Synopsis
Neoadjuvant
chemo-radiotherapy (CRT) has become the standard treatment for locally advanced
rectal cancer. In order to define the best therapeutic strategy following CRT,
either extended surgery (Total Mesorectal Excision, TME), low-invasive
transanal endoscopic microsurgery (TEM) or wait-and-watch strategy, an accurate
assessment of tumor response to therapy is mandatory. Currently, MR is the
modality of choice in assessing response to therapy. However, conventional
morphological imaging methods are not accurate enough, particularly in evaluating
complete response. Quantitative imaging biomarkers are under evaluation, with
some of them showing preliminary interesting results, namely diffusion-weighted
imaging, texture analysis and perfusion MR.
Neoadjuvant preoperative
chemo-radiotherapy (CRT) and radical surgery (Total Mesorectal Excision) has
become the standard treatment for locally advanced rectal cancer. However, this
therapeutic approach needs robust staging and re-staging techniques in order to
avoid over- or under-treatment of different sub-groups of Patients. Magnetic
Resonance Imaging (MRI) is the gold standard for pre-operative staging of
rectal cancer, but the reported evidence on the role of MRI in assessing response
to therapy (re-staging) based only on morphological evaluation has been shown
presenting several limitations. Hence the reason for investigating novel MR imaging
quantitative biomarkers, able to establish more objectively the response to
therapy and to identify non-responders immediately after the start of neo-adjuvant
treatment.
Different MR imaging
biomarkers have been identified in oncologic imaging: a) Texture analysis (TA)
of morphological T2 weighted images; b) Diffusion-Weighted Imaging (DWI); c) Intravoxel
incoherent motion (IVIM) and d) perfusion MRI (pMRI).
a) Texture analysis is
non-invasive method of assessing the heterogeneity within a tumor. Tumors with
high intratumoral heterogeneity have been shown to have poorer prognosis, which
could be secondary to intrinsic aggressive biology or treatment resistance.
Different methods exist, including statistical-, model-, and transform-based
methods. To date, studies that have been performed have focused in several
areas, where the addition of texture to current methods may improve the detection,
diagnosis, characterization, and response assessment. By highlighting certain
features within a lesion of interest, texture analysis has the ability to
improve assessment beyond direct visual analysis by a radiologist
b) Diffusion weighted imaging
(DWI) is a diagnostic technique based on the measurement of Brownian motion of
water molecules in tissues, which is different according to tissue
characteristics. The apparent diffusion coefficient (ADC), a quantitative
parameter measured on DWI, has been suggested to provide useful information
regarding tumor cellularity, tumor aggressiveness, subtype characterization,
and cancer treatment response. To date, in rectal cancer assessment, there is no
demonstrated benefit of the use of DWI at primary staging, but there is growing
evidence that the use of DWI in association with morphological T2 weighted sequences
improves the performance of MRI in the assessment of tumor response after CRT
and might be helpful in predicting responders versus non-responders. However,
no consensus exists on the additional value of DWI for the assessment of a
complete tumor response after CRT. Preliminary experimental evidences suggest that
pre-CRT ADC in responders is significantly lower than that in non-responders
and moreover a significant increase of the mean ADC after neoadjuvant CRT occur
in the responder group with locally advanced rectal cancer. Lower ADC values
were associated with a more aggressive tumor profile and ADC has the potential
to become an imaging biomarker of tumor aggressiveness profile.
c) Intravoxel incoherent
motion (IVIM) is an advanced analysis of DWI based on the acquisition of
multiple diffusion b values. It represents a novel imaging approach in
abdominal tumors, never being tested up to date in rectal cancer. Advanced
analysis permits to evaluate microscopic movements in biologic tissues,
including diffusion of water molecules and microcirculation of blood
(perfusion). IVIMs are quantified by means of the apparent diffusion
coefficient (ADC). ADC incorporates the effects of both diffusion and perfusion
and is equal to the true diffusion coefficient D when diffusion is the only
type of present motion. Perfusion fraction is strictly related to tissue
vascularization. The possibility to accurately calculate this parameter could
enable a non invasive evaluation of tumor perfusion. Perfusion parameters
derived from IVIM modeling have been proposed as potential biomarkers of tumor
vascularization. Indeed, the exact nature of what is measured with IVIM MR
imaging deserves further investigation.
d) Perfusion MRI (pMRI)
offers the possibility to analyze real tumor perfusion after contrast medium
(Gadolinium chelate) administration. Perfusion MRI is an imaging modality that
relies on the dynamic assessment of tracer uptake kinetics, subsequently
quantified by means of pharmacokinetic models. These models describe, in terms
of pharmacokinetic parameters, the wash-in and wash-out of contrast agent from
the microvasculature into the surrounding tissues. Using a two-compartmental
model Ktrans (wash-in rate), Kep (wash-out rate), Ve (extravascular
extracellular space volume) and IAUGC90 (initial area under the gadolinium contrast
agent concentration time curve at 90s) can be calculated. A preliminary study
on a small cohort of patients has recently demonstrated a correlation between tumor
response and Ktrans in tumor treated with antiangiogenetic drugs (Anti-VEGF,
vascular endothelial growth factor). However, this data are limited to patients
treated with experimental drugs and no data are currently available for tumors
treated with classical neo-adjuvant CHT protocol.
Acknowledgements
Research supported by AIRC (Associazione Italiana per la Ricerca sul Cancro) Investigator Grant 2013 (IG - 14129) entitled "MR Imaging Biomarkers in Response Evaluation to Neoadjuvant Chemoradiotherapy in Rectal Cancer"References
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