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S902

ESTRO 36

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EP-1660 Improvement in tumour control probability by

adapting dose to daily OAR DVCs

D. Foley

1

, B. McClean

1

, P. McBride

1

1

St Luke's Reseach Oncology Network, Physics, Dublin,

Ireland

Purpose or Objective

A technique using analysis of on-board CBCT images to

adapt the dose to the target on a fraction-by-fraction basis

was developed. This new approach involves using the

upper limit of dose volume constraints (DVCs) as the

objective to be met at each fraction by tracking and

accumulating dose voxels. The aim was to adapt the dose

per fraction such that it was optimised each day without

any organ at risk (OAR) DVCs being exceeded. The impact

on tumour control probability (TCP) and normal tissue

complication probability (NTCP) was evaluated.

Material and Methods

31 patients who underwent prostate treatment were

retrospectively investigated for this study. Initial VMAT

plans consisting of 2 arcs were designed to deliver 74 Gy

in 37 fractions of 2 Gy each to the target. The patients had

on-board CBCT scans taken prior to treatment for between

9 and 33 fractions (436 in total).

An in-house registration algorithm based on phase

correlation[1] was used to retrospectively register CBCT

images to the planning CT to determine the

transformations and deformations in patients’ anatomy.

This allowed the original plan to be recalculated on the

registered CT image that provided the position of the

target and OARs for that fraction. By tracking individual

voxels throughout treatment, the dose was accumulated

and the DVHs and DVC values were determined for each

fraction.

The DVCs were then used as limits such that the dose that

could be delivered would result in the tightest constraint

being just met. Therefore, the dose for that fraction was

increased or decreased to ensure that the DVC was on the

tolerance limit. The impact of the dose escalation was

then evaluated using TCP and NTCP.

Results

Thirteen of the patients investigated could have received

net higher doses during their treatment without exceeding

their OAR DVCs. In the remaining 18 patients, only 20

fractions out of 257 would allow an increase in dose while

staying below the DVC limits. The rectum was the limiting

structure in 97 % of fractions.

The largest individual increase possible for a given fraction

was 87.4 cGy. If all changes were made, the maximum

accumulated net increase in dose possible for any patient

was 13.58 Gy, assuming the imaged fractions were

representative of the patients’ entire treatment and

scaling to a full treatment. This corresponded to an

increase in TCP and rectal NTCP of 13.7 % and 13.6 %

respectively. Table 1 shows the results for the 13 patients.

Conclusion

Adapting the dose to be delivered to the patient on a

fraction-by-fraction basis has the potential to allow for

significant dose escalation while staying within

institutional DVCs, significantly increasing TCP. This could

be particularly useful in the hypofractionation approach

to

treatments.

[1] Physica Medica, 32(4):618–624, 2016.

EP-1661 Adaptive strategy to accommodate

anatomical changes during RT in oesophageal cancer

patients

T. Nyeng

1

, M. Nordsmark

2

, L. Hoffmann

1

1

Aarhus University Hospital, Medical Physics, Aarhus C,

Denmark

2

Aarhus University Hospital, Department of Oncology,

Aarhus C, Denmark

Purpose or Objective

During chemoradiotherapy (chemoRT) in oesophageal

cancer (EC), some patients show large interfractional

anatomical changes. These changes may affect the dose

distribution adversely, demanding adaptation of the

treatment plan. The aim of this study was to investigate a

decision support system for treatment adaptation based

on daily cone-beam CT (CBCT) scans.

Material and Methods

Twenty consecutive patients treated with chemoRT for

oesophageal and gastro-oesophageal junction cancer were

setup to the spinal cord with a tolerance of 5mm using

daily CBCT scans. On CBCT, mediastinal structures are

barely visible. Therefore, a surrogate structure (SS) was

used to evaluate the actual target position. The SS was

generated by indicating the borders between dense tissue

nearby the clinical target volume (CTV) and lung tissue or

air, see Fig1. Geometrical changes above 3mm in the

tissue defined by the SS were registered by the radiation

therapists (RTTs) for each fraction. Additionally, the RTTs

noted changes of the base line diaphragm position above

5mm, the mediastinum above 5mm, the body contour

above 10mm, and the shoulder blades above 10mm. Three

consecutive registrations in any category triggered an

adaptation of the treatment plan, requiring a new CT-scan

with IV contrast. Targets and organs at risk were re-

delineated, based on deformably propagated contours

from the planning CT-scan. We recalculated the original

treatment plan on the new CT-scan to evaluate the

consequences of the observed anatomical changes.