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S896

ESTRO 36 2017

_______________________________________________________________________________________________

Conclusion

CBCT images for a head and neck VMAT treatment provide

accurate dose calculation in adaptive radiotherapy,

making them suitable for the assessment of possible

changes over the original treatment planning for all the

calibration curves analyzed.

EP-1669 Assessment of the clinical value of off-line

adaptive strategies for tomotherapy treatments

D. Dumont

1

, X. Geets

2

, M. Coevoet

2

, E. Sterpin

1

1

Université catholique de Louvain, MIRO, woluwe-saint-

lambert, Belgium

2

Cliniques Universitaires Saint-Luc, radiotherapy,

woluwe-saint-lambert, Belgium

Purpose or Objective

This study assessed the clinical potential of offline

adaptive strategies based on the dose computed on daily

MVCTs (Tomotherapy). We defined clinical indicators that

were subsequently used to identify the percentage of

plans that should have been adapted due to significant

dose deviations to TVs or OARs. Only the consistency of

the initial plan throughout the treatment was addressed.

Thus, dose was reported to constants TVs and deformed

OARs.

Material and Methods

Cumulative doses were calculated from daily MVCT for 41

lung, 50 prostate and 21 H&N patients, using research

versions of off-line adaptive solutions from Accuray and

21

st

century Oncology. All deformed contours were

checked by an experienced radiation oncologist, while all

dose calculations were crosschecked using our in-house

Monte Carlo model (TomoPen). The clinical indicators

were the DVH metrics used during the treatment planning

for each considered OAR (e.g. D

2

, V

5

) and TVs (e.g D

50

).

Dose constraints were also defined according to the tumor

site (e.g. D

mean

Parotid < 30 Gy). Two levels of warning

were considered:

red flag: a 10% deviation of the clinical indicator

relative to the planned value (e.g. for the

parotid ΔD

mean

(cumulated)>10% D

mean

(planned))

AND

a violation of a dose constraint (e.g. for the

parotid D

mean

(cumulated) >30 Gy)

orange flag: a 10% deviation of the clinical

indicator relative to the

dose constraint

(e.g.

for the parotid ΔD

mean

(cumulated) >3 Gy).

Both adaptive software evaluated the dose to TVs using

deformed PTVs. This approach is questionable because the

PTV corresponds to a geometrical (not anatomical) safety

margin. Therefore, we reported the dose on rigidly

registered PTVs.

Results

Deformed contours were judged acceptable for all H&N

and lung cases. However, registrations failed for most

pelvic cases, for which large anatomical deformations

occurred (see figure 1). Consequently, pelvic cases were

excluded.

Dose calculation of both analytical engines were in good

agreement with TomoPen (around 1.5% mean difference

on PTV D

50

).

Results are reported in Table 1. For TVs, only 6 flags (out

of 62 patients) were reported for the rigidly registered

PTV, which was considered as the only relevant volume.

The flags reported for lung cases were irrelevant because

of the blurring of the tumor density leading to large dose

calculation deviations. For the H&N case, the red flag was

rejected after analysis (wrong doses in part of the PTV out

of the external contour). For the OARs, one H&N was

flagged (true flag) with an increase of 11% of the mean

parotid dose that exceeded the dose constraint (30 Gy).

Conclusion

Considering a constant PTV, the impact of treatment

adaptation on the quality of delivered plans is minor for

the included patients. The conclusion might be different

for pelvic cases due to the larger anatomical

deformations. Conclusions might also differ for an adapted

PTV, but such strategy must address clinical

considerations before implementation.

EP-1670 Couch shifts in NAL protocols: ¿Which is the

optimal threshold?

A. Camarasa

1

, V. Hernández

1

1

Hospital Universitari Sant Joan de Reus, Servei de

Protecció Radiològica i Física Mèdica, Reus, Spain

Purpose or Objective

The NAL protocols applied to patient positioning in

treatments evaluated by CBCT use a threshold regarding

couch shifts. If the CBCT demands shifts over the

threshold, the patient must be moved, while shifts below

the threshold remain as residual errors. The aims of this