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S182

ESTRO 36 2017

_______________________________________________________________________________________________

6

Azienda Ospedaliera Città della Salute e della Scienza,

Medical Physics, Torino, Italy

7

Humanitas Centro Catanese di Oncologia, Medical

Physics, Catania, Italy

8

Ospedale Ordine Mauriziano di Torino- Umberto I,

Medical Physics, Torino, Italy

9

Istituto Regina Elena - Istituti Fisioterapici Ospedalieri,

Medical Physics, Roma, Italy

10

AUSL di Piacenza, Medical Physics, Piacenza, Italy

11

Istituto Clinico Humanitas, Medical Physics, Rozzano,

Italy

Purpose or Objective

SBRT planning for spinal metastases is particularly

challenging due to the high dose required for covering the

PTV complex shape, and to the steep dose gradient

mandatory for sparing the spinal cord. Many combinations

of delivery systems and TPSs are clinically available in

different institutions. Aim of this study was to investigate

the dosimetric variability in planning spine SBRT among a

large number of centers.

Material and Methods

Two spinal cases were planned by 38 centers (48 TPS) with

different technologies (table 1): a single dorsal

metastasis, and double cervical metastases. The required

dose prescription (DP) was 30 Gy in 3 fractions. Ideal PTV

coverage request was: V

DP

>90% (minimum request:

V

DP

>80%). Constraints on the organs at risk (OAR) were:

PRV spinal cord: V

18Gy

<0.35cm

3

, V

21.9Gy

<0.03 cm

3

;

oesophagus: V

17.7Gy

<5cm

3

, V

25.2Gy

<0.03 cm

3

.

As a last option, planners were allowed to downgrade DP

to 27 Gy to fulfil OAR constraints. 3D dose matrixes were

analyzed. DVH were generated and analyzed with MIM 6.5

(MIM Software Inc. Cleveland US). Homogeneity index (HI)

was computed for each PTV as HI= (D

2%

-D

98%

)/DP. Planners

did not meet the protocol constraints or PTV dose

coverage were asked to re-plan the wrong case.

Multivariate statistical analysis was performed to assess

correlations between dosimetric results and planning

parameters.

Table1: Linac , TPS, delivery technique and kind of inverse

optimization used in the intercomparison.

Results

14/96 plans did not meet the protocol requests. After the

re-planning, still 6/96 plans with different technologies

did not respect at least one constraint with differences

>0.5 Gy. For the dorsal case, 3 minimum (<0.5Gy)

deviations (1 VMAT, 1 IMRT, 1 Tomo), and 2 reduced DP (1

VMAT and 1 Tomo) occurred. For the cervical case, 3

minimum deviation (1VMAT 1IMRT 1Tomo), and 2 reduced

DP (1 VMAT and 1Tomo) were observed. Multivariate

analysis showed, for both cases, a significant correlation

(p<0.05) between Homogeneity Index (HI) and both OAR

dose sparing and PTV coverage. Irradiation techniques

correlated with spinal cord sparing; however institutions

using similar/same delivery/TPS techniques produced

quite different dose distributions, highlighting the

influence of the planner experience on the optimization

process (figure 1).

Fig1 Box plot relative to the single metastasis case. 18

plans were computed using VMAT, 8 VMAT FFF (linac Free

of Flattering Filter), 6 Ciberknife, 5 Tomotherapy, 7 IMRT,

1 3dCRT.

Conclusion

At our knowledge, this is the largest non-sponsored

multicentre planning comparison. Differences in DVH

binning among centres could explain minor violations. HI

is a key factor for planning optimization: prescribing to

lower isodose generally leads to better OAR sparing and

higher PTV coverage. Results have a dependence on the

irradiation technique, although the planner's experience

plays a not negligible role. A multicentre analysis as

proposed in this study can have an impact on the

standardization of plan quality for spinal SBRT.

OC-0348 Reducing the dosimetric impact of variable

gas volume in the abdomen during RT of esophageal

cancer

P. Jin

1

, J. Visser

1

, K.F. Crama

1

, N. Van Wieringen

1

, A.

Bel

1

, M.C.C.M. Hulshof

1

, T. Alderliesten

1

1

Academic Medical Center, Radiation Oncology,

Amsterdam, The Netherlands

Purpose or Objective

For middle/distal esophageal tumors, a varying gas volume

in the upper abdomen could induce changes in the

dosimetry of RT. In this study, we investigated the

dosimetric impact of abdominal gas pockets as well as a

density override (DO) strategy to mitigate dosimetric

effects.

Material and Methods

We retrospectively included 1 patient with middle and 8

patients with distal esophageal cancer. For these patients,

it was unclear whether re-planning was needed due to the

varying gas volume during treatment. For each patient, we

measured gas volumes in the planning CT (pCT) and 8–28

(median: 14) CBCTs to assess possible time trends.

Further, we made IMRT and VMAT plans with a prescription