S308
ESTRO 36 2017
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Since the MR-Linac aims for online adaptive radiotherapy,
online plan QA needs to be developed additional to the
offline QA procedures and devices. At the MRI-linac, an
IMRT plan will be created online based on the daily
anatomy while the patient is on the treatment couch.
Therefore, individual plan QA via measurements can’t be
performed. As a solution, the use of an independent dose
calculation based on 3D collapsed cone dose calculation
algorithm was investigated. Although the effect of the
magnetic field is not directly incorporated in this
algorithm it seems to be sufficient to be used for online
QA of the online generated IMRT plan.
Symposium: Novel approaches for combining imaging
and non-imaging data for radiotherapy response
predicition
SP-0595 Modeling the interplay among volume,
vascularization and radio-sensitivity in cervical cancer
exploiting 3D-Doppler data
A. Belfatto
1
, D. Ciardo
2
, A.M. Vidal Urbinati
3
, F. Cattani
4
,
R. Lazzari
4
, B.A. Jereczek-Fossa
4
, D. Franchi
3
, R.
Orecchia
5
, G. Baroni
1
, P. Cerveri
1
1
Politecnico di Milano University, DEIB, Milano, Italy
2
European Institute of Oncology, Unit of Medical Physics,
Milano, Italy
3
European Institute of Oncology, Division of Preventive
Gynecology, Milano, Italy
4
European Institute of Oncology, Division of
Radiotherapy, Milano, Italy
5
European Institute of Oncology, Scientific Director,
Milano, Italy
The role of oxygenation in tumor radio-sensitivity
The cell damage due to radiation exposure is conveyed by
means of both direct effects, and indirect ionization of
DNA due to free-radicals (e.g. O-). As a consequence,
tumor oxygenation affects the response to radiotherapy by
enhancing the radiosensitivity, conversely, hypoxic tumors
are likely to be more radio-resistant. Moreover, literature
findings suggest a systemic repercussion of changes in
oxygen levels in the lesion area, for example hypoxia may
reduce the tumor metabolism inducing a quiescent status
and preventing the mass development. Mathematical
models of tumor growth and response to irradiation are
able to mimic the interplay among oxygenation, volume
and radiosensitivity addressing the problem as a whole.
Tumor data (e.g. volume, PO
2
, necrotic fraction) are
mandatory for an accurate and patient-specific model
setting.
Current methods to assess tumor oxygenation
This lecture does not aim to provide an exhaustive
overview of the methods currently available for the
evaluation of tumor oxygenation, however a brief
description of the most used techniques is in order. The
Eppendorf probes are still considered the gold standard in
the assessment of oxygenation and consist in a direct
measure of PO
2
. Despite their accuracy, the electrodes are
not always applicable in clinics due to their intrinsic
invasiveness and the local nature of the measurements.
Alternative methods require the use of radioactive tracers
and PET scans or functional MRI (e.g. interleaved BOLD-
TOLD protocols). Another option is the 3D Doppler
ultrasonography, which is inexpensive and non-invasive,
although some restrictions reduces the extent of its
application.
Focus on the US Doppler advantages and limitations
The 3D Doppler technique allows the evaluation of the
hemodynamics by exploiting the Doppler effect. The
regions containing moving particles will be shown in false
colors according to their velocity. Three main indices are
provided, namely the vascularization index (VI), the flow
index (FI) and the vascularization flow index (VFI). The VI
is the percentage of color pixels in the region of interest
and represents the amount of vasculature, while FI is the
average (%) color-value of the pixels which were
recognized as vessels, indicating the mean flow. The
rescaled product of the above equals to the
vascularization
flow
index
(0<VFI<100).
The
vascularization/flow indices are not able to completely
define the tissue oxygenation, especially for tumors. This
is due to the chaotic development of vasculature in case
of rapid angiogenesis promoted by the cancer
uncontrolled growth. The vessels are likely to be leaking
and immature supplying a reduced amount of oxygen to
the cells they drain. The gap between vascularization and
oxygenation is also due the lack of knowledge about vessel
permeability.
Example of volume and oxygen-related data integration
in tumor evolution models.
We implemented a macroscale model of tumor
development encompassing the tumor evolution where
viable and necrotic portion dynamics evolve separately,
along with oxygenation changes. The model was set
according to the clinical data (volume) of 7 cervical cancer
patients undergoing external beam radiotherapy (EBRT)
subdivided into 28 fraction (1.8Gy/fraction). For each
ptient, two expert clinicians performed and manually
contoured five Doppler ultrasound tests before, during and
after the treatment. The software 4D View® (General
Electric Company - Fairfield, Connecticut, United States)
was used to compute the tumor volume and the above
mentioned vascularization/flow indices (VI, FI, VFI) in the
identified tumor region (
Fig.1
).
Our algorithm was trained to provide the lowest fitting
error on the tumor size evolution, while the oxygenation
was allowed to adjust itself feely to cope with the
predicted volume. The model-based curves of tumor
evolution resulted in over 90% accuracy with respect to
the measured volumes. Using the Pearson coefficient (r),
the correlation between VI, FI, VFI and the model
predicted oxygenation was analyzed. In three cases r 0.9
(strong correlation), while two patients showed an
average r value (0.5-0.7). For the remaining two patients,
who presented r<0.5, low indices values (expecially VFI)
and the smallest tumor shrinkage at the end of EBRT
(according to data), the model predicted poor average
oxygenation.
In conclusion, the relation included in the model to mimic
the interplay between tumor volume and oxygenation
dynamics was sufficient to provide oxygenation trends
correlating to Doppler indices (r>0.5) in five cases out of
seven. Although non-responsive tumors were more critical
to mimic, the model was able to identify their hypoxic
status.