Kartik Jhaveri1, Vijay Chidambaram2, James Brierley1, Bernard Cummings1,3, Rajesh Bhayana1, Ravi Menezes1, Erin Kennedy4, and Richard Kirsch4
1UHN,university of Toronto, Toronto, ON, Canada, 2Royal Liverpool Hospital, Liverpool, United Kingdom, 3Toronto, Canada, 4Mt.Sinai Hospital,University of Toronto, Toronto, Canada
Synopsis
Rectal cancer patients treated
with preoperative chemoradiation therapy with complete treatment response can
be considered for individualised therapies such as ‘wait and watch’ avoiding
surgery. However this currently can only be definitely identified by
postoperative histopathology. Diffusion weighted-MRI
has been well correlated to tumor biology and treatment response. Volumetric
ADC histogram analysis eliminates errors resulting from tumor heterogeneity and
variable diffusivities by including the tumor volume and could provide promise
for prediction of treatment response and clinical outcomes,thereby providing
means for individualised therapy.BACKGROUND
Preoperative
ChemoRadiation Therapy (CRT) of rectal cancer has been shown to reduce pelvic
tumor recurrence but can have significant adverse side effects. Patients with complete
response can be considered for individualised therapies such as ‘wait and watch’
(1). However, it is not possible to identify complete responders following CRT besides
post-operative histopathological evaluation. DW-MRI has been well correlated to
tumor biology and treatment response. Mean ADC calculated by operator dependent
region of interest (ROI) can result in inaccuracies from inter-observer variability
and tumor heterogeneity (2, 3). Volumetric ADC histogram analysis eliminates
these limitations via interrogation of tumor heterogeneity and diffusivities in
the entire tumor volume.
PURPOSE
To
investigate the relationship between pre-treatment volumetric ADC histogram
parameters in rectal cancer with postoperative histopathology and clinical outcomes
following pre-operative CRT.
METHODS
78 patients
with rectal cancer with pre-operative CRT and rectal MRI with diffusion weighted
imaging (DWI) sequences were
included in this retrospective study. Standard
rectal MRI was performed on 1.5T or 3T MRI(Siemens Avanto or Verio, Erlangen,Germany)
including high resolution T2 weighted sequence, DWI with three diffusion sensitising gradients and
ADC maps in addition to routine pelvic MR sequences. DWI analysis was performed on a stand-alone
workstation with the use of software tool “MR OncoTREAT” (Siemens AG, Germany)
for registration, segmentation and analysis of the MR data. The volumetric ADC
data was displayed as a histogram with data export function to a spreadsheet. The
software distributed the total range of ADC values into multiple color coded
parts (Fig. 1). Color maps of ADC are
overlaid on the T2 weighted MR images to visualise the distribution of ADC values.
Multiple variables were calculated including tumor volume, mean, standard
deviation, histogram kurtosis and skewness, 25th, 50th and 75th percentiles
were calculated. ADC % distribution for ADC values of 0.8, 0.8-1.0 and > 1.0
x 10-3 mm2/s were determined. Correlation was made to post-operative pathological
complete response, perineural invasion, clinical or radiological evidence of
disease progression using the Mann-Whitney test. All tests were two-sided, and a p-value <0.05
was significant.
RESULTS
The
mean rectal tumor volume was 24cc (range: 1cc -134cc). 8 patients had
metastatic disease at time of initial diagnosis. Post CRT,
13 of 78 patients showed distant disease progression. 8 patients showed
pathologic complete response. Pre-treatment MRI mean ADC was 1.2 x 10-3
mm2/s (range: 0.3 to 1.99 x 10-3 mm2/s). Mean
kurtosis measured was 0.56 (range: -1 to 6; standard deviation: 1.36). Mean skewness was 0.3 (range: -1 to 2;
standard deviation: 0.69). Skewness had significant correlation (p-value =
0.006) with disease progression (Fig.2,3). Pre-treatment MRI tumor volume
showed significant correlation (p value = 0.013) with pathologic complete
response. Mean ADC and percentage voxels for various ADC ranges did not reveal
any significant correlation with treatment response or progression. There was
no significant correlation between the ADC histogram parameters or tumor volume
with perineural invasion.
DISCUSSION
Good
correlation was seen between the skewness of the ADC histogram with clinical
disease progression (local recurrence and metastasis).The patients with disease
progression had a skewness value of -1 or 0.
A
negative skew indicated that most voxels contain an ADC value greater than the
mean, with relatively few voxels containing an ADC value less than the mean. Significant
correlation was seen between pre-treatment MRI volume and pathologic complete
response following CRT. There was no significant correlation between kurtosis,
mean ADC, 25th, 50th and 75th ADC percentiles these
variables and the binary outcome variables (perineural invasion, disease
progression or pathological complete response).
CONCLUSION
Volumetric ADC histogram
analysis of pre CRT MRI provides some promising quantitative measures for
prediction of post-CRT pathological complete response and disease progression.
Acknowledgements
Robert Grimm, Siemens Healthcare GmbH, Application Predevelopment, Erlangen, GermanyReferences
1.
K. N. Fischkoff et al .“Nonoperative
approach to locally advanced rectal cancer after neoadjuvant combined modality
therapy: challenges and opportunities from a surgical perspective.,” Clin.
Colorectal Cancer, vol. 10, no. 4, pp. 291–7, Dec. 2011.
2.
Y.-S.
Sun et al.“Locally advanced rectal carcinoma treated with preoperative
chemotherapy and radiation therapy: preliminary analysis of diffusion-weighted
MR imaging for early detection of tumor histopathologic downstaging.,” Radiology,
vol. 254, no. 1, pp. 170–8, Jan. 2010.
3.
D.
M. J. Lambregts et al .“Tumour ADC measurements in rectal cancer: effect of ROI
methods on ADC values and interobserver variability.,” Eur. Radiol.,
vol. 21, no. 12, pp. 2567–74, Dec. 2011.cancer.,” Eur. Radiol., vol. 21,
no. 5, pp. 987–95, May 2011.