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S105

ESTRO 36 2017

_______________________________________________________________________________________________

optimization have been described in literature.

‘Minimax’ robust optimization is a relatively

straightforward implementation and is currently

incorporated in several treatment planning systems that

are commercially available. During minimax robust

optimization, dose-influence matrices are typically

calculated for the nominal scenario (without treatment

errors) and for a number of user-defined error scenarios,

and are subsequently used to optimize worst-case values.

The user can generally specify the number of included

error scenarios and the magnitude of the treatment errors

accounted for. In this way, one can account for errors in

patient setup and in particle range, and, in some

implementations, for anatomical changes.

The characteristics and practicalities of minimax robust

optimization in intensity-modulated proton therapy (IMPT)

for oropharyngeal cancer patients will be addressed in this

presentation:

1. Robustness recipes: Which robust optimization settings

(i.e. error scenarios) should be used for given population-

based distributions of setup and range errors

(systematic/random), in order to obtain adequate clinical

target volume (CTV) coverage in oropharyngeal cancer

patients? Available robustness recipes differ between

patients with unilateral or bilateral tumors and suggest

that setup errors and range errors can be accounted for

independently.

2. The price of robustness: What does robustness cost in

terms of dose to organs-at-risk (OARs)? An investigation on

the impact of the degree of robustness (i.e. magnitude of

the included error scenarios) on OAR doses and resulting

normal-tissue complication probabilities showed that

setup robustness had a substantially larger impact than

range robustness. This suggests that minimizing setup

errors should be given a higher priority than minimizing

range errors, in IMPT treatments for oropharyngeal cancer

patients.

3. Minimax robust optimization to account for anatomical

uncertainties. Anatomical robust optimization can

effectively deal with changes in nasal cavity filling,

providing substantially improved CTV and OAR doses

compared with the conventional margin-based approach.

Future investigations should reveal whether minimax

robust optimization can also be used to account for other

anatomical changes in oropharyngeal cancer patients.

SP-0211 Clinical implementation of coverage

probability planning in cervix cancer

J.C. Lindegaard

1

, A. Ramlov

1

, M. Assenholt

1

, M. Jensen

1

,

C. Grønborg

1

, R. Nout

2

, L. Fokdal

1

, K. Tanderup

1

, M.

Alber

3

1

Aarhus University Hospital, Department of Oncology,

Aarhus C, Denmark

2

Leiden University Medical Center, Department of

Radiation Oncology, Leiden, The Netherlands

3

Heidelberg University Hospital and Heidelberg Institute

for Radiation Oncology HIRO, Department of Radiation

Oncology, Heidelberg, Germany

Definitive radiotherapy in locally advanced cervical cancer

(LACC) often includes boosting of multiple pathological

pelvic nodes. The simultaneous integrated boost (SIB)

technique delivered by intensity modulated radiotherapy

(IMRT) or volumetric arc therapy (VMAT) is increasingly

being used as recent studies have shown excellent nodal

control with a boost of 55-60 Gy. However, nodal boosting

on top of elective whole pelvic radiotherapy at 45-50 Gy

invariably causes collateral higher dose to especially

bowel and pelvic bones, as metastatic regional nodes in

LACC are most often situated in the retroperitoneal

lymphatic space close to both bowel loops and the pelvic

wall. This dilemma may be even worse in situations where

para-aortic nodes are encountered and require

irradiation.

At present no consensus exists on the required margin for

nodal boosting by SIB, but margins of 5-10 mm from the

gross tumor volume of the node (GTV-N) to the nodal

planning target volume (PTV-N) have been

reported. Since the diameter of pathological nodes (GTV-

N) most often is about 10-20 mm, SIB dose planning using

a classical PTV concept of a dose plateau with full PTV-N

coverage will entail a relatively large volume being

treated to high doses compared to the actual GTV-N

volume. In addition, the robustness of SIB being embedded

in the 45-50 Gy irradiation of the whole pelvis is not fully

utilized.

Coverage probability treatment planning (CovP) has

previously been shown to provide robust dose escalation

for IMRT of prostate cancer with overlapping PTV and

rectum planning volume as well as superior patient

specific small bowel planning volume allowing for tighter

OAR margins with for instance para-aortic radiotherapy.

Reduction of the dose at the perimeter of the PTV-N could

therefore be considered by employing coverage

probability dose planning (CovP) for SIB in LACC. With

CovP local weights for each voxel are being used to create

a dose gradient at the edges of PTV-N according to the

presumed probability of finding the nodal target at this

coordinate in the treatment room. The shape of the fall-

off is based on assumptions about the position error of the

GTV-N. CovP has recently been implemented in the

prospective international multicentre EMBRACE II study

for SIB planning of nodal boosting in LACC

(www.embracestudy.dk

).

Clinical validation and implementation of CovP treatment

planning in LACC was performed at Aarhus University

Hospital in 2015 as a preparation for the Embrace II study.

Until then CovP had only been explored by use of

experimental treatment planning systems. A first step was

therefore to obtain a set of dose constraints based on a

number of CovP dummy runs performed in the research

dose planning software Hyperion. Based on assumptions

regarding the position of GTV-N over time, the dose

optimizer created a dose gradient around the CTV-N which

was allowed to lie partially inside PTV-N. From these

experimental CovP plans, dose constraints for use with the

clinical treatment planning system Eclipse were chosen

that captured the dose peak and dose gradient of the CovP

dose distribution for this particular setting of SIB boosting

in LACC: PTV-N D98 >90%, CTV-N D98 > 100% and a soft

constraint of CTV-N D50 > 101.5% of the prescribed dose.

The next step was then to analyze a number of previously

treated patients with LACC. In total 25 patients with 47

boosted nodes treated with SIB delivered by IMRT or VMAT

from 2012-2015 were investigated (Figure 1). Dose of

EBRT was 45 Gy/25 fx with a SIB of 55-57.5 Gy depending

on the expected dose from brachytherapy (BT). The

planning aim was to reach D98 > 57 GyEQD2. Nodes were

contoured on cone beam CT (CBCT) and the accumulated

dose in GTV-N

CBCT

and volume of body, pelvic bones and

bowel receiving >50 Gy (V50) were determined. Nearly all

nodes (89%) were visible on CBCT and showed considerable

regression . Total EBRT and BT D98 was >57 Gy

EQD2

in 98%

of the visible nodes. Compared to conventional planning,

CovP significantly reduced V50 of body, bones and bowel.

With CovP a new tool is available for nodal SIB in LACC

allowing for controlled underdosing at the edge of the

PTV. As this study is mainly based on pelvic nodes along

the major vessels it is still unclear how margin reduction

and CovP will perform for SIB of para-aortic nodes or nodes

in the groins. Nodes in the vicinity of organs which may be

displaced e.g. by the bladder or rectum may also need

monitoring in terms of delivered dose and eventually plan

adaptation during EBRT. However, CovP could be of

interest for nodal SIB in anal, rectal, vulvar, penile,

vaginal, prostate and bladder cancer. In EMBRACE II the

patients are treated with a reduced PTV-N margin (5 mm),

daily IGRT, IMRT/VMAT and CovP planning for SIB with

planning aims presented above. With an estimated accrual

of 800 patients, of which 50% will node positive disease, a