Copenhagen, Denmark
Onsite/Online

ESTRO 2022

Session Item

Sunday
May 08
14:15 - 15:15
Mini-Oral Theatre 2
12: Head and neck
Hanene OUESLATI MAHJOUBI, France;
Johannes Kaanders, The Netherlands
Mini-Oral
Clinical
Simple strategy to select head and neck cancer patients for adaptive radiotherapy in the first week
Charlotte Brouwer, The Netherlands
MO-0475

Abstract

Simple strategy to select head and neck cancer patients for adaptive radiotherapy in the first week
Authors:

Yong Gan1, Johannes A. Langendijk1, Arjen van der Schaaf1, Lisa van den Bosch1, Edwin Oldehinkel1, Zhixiong Lin2, Stefan Both1, Charlotte L. Brouwer1

1University of Groningen, University Medical Center Groningen, Department of Radiation Oncology, Groningen, The Netherlands; 2Shantou University, Cancer Hospital of Shantou University Medical College, Department of Radiotherapy, Shantou, China

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Purpose or Objective

Adaptive radiotherapy (ART) enables correction of dose deviation in organs at risk (OARs) caused by anatomic changes during head and neck RT. The intensive workload for ART requires early identification of head and neck cancer (HNC) patients that benefit most during radiotherapy, not only to save workload/resource, but also to improve therapeutic ratio. The purpose of this study was to present a simple strategy to select candidate of ART in the first week of radiotherapy.

Material and Methods

This retrospective analysis was based on 123 HNC patients who underwent photon radiotherapy and had at least 5 weekly in-treatment re-scan CTs (rCTs) available. In total, 15 OARs were segmented on each rCT using a semi auto-segmentation method (Gan et al., 2021). Then, the original treatment plan (VMAT or IMRT) was re-calculated on each rCT with full scale of prescription dose to obtain the actual weekly mean dose (Dmean) of OARs. The actual given Dmean was defined as the average of all actual weekly Dmean. We then applied the comprehensive NTCP-profile for HNC patients (van den Bosch et al., 2021)to translate the planning Dmean and actual given Dmean into nominal and actual NTCP values, respectively.  The ΔNTCP were obtained by subtracting nominal NTCP with actual NTCP values. The ΔDmean  between the first weekly actual Dmean and planning Dmean was calculated and designated as ΔDmean_week1. For each ΔNTCP, the maximum  ΔDmean_week1 of OARs which were involved in the NTCP model was designated as maxΔDmean_week1.  The maxΔDmean_week1 was then used to develop different logistic regression models to identify suitable candidates of ART who presented large ΔNTCP with different criterion ΔNTCP from 0 to 10 of percentage point. For different ΔNTCP criterion, the cutoff maxΔDmean_week1 was calculated (R program package of pROC) to obtain the maximum summation of sensitivity and specificity, patients presenting ΔDmean_week1 of any OAR ≥ the cutoff maxΔDmean_week1  were designated as classified candidate of ART, patients presenting any ΔNTCP ≥ criterion of ΔNTCP were classified as true candidate of ART. Major ΔNTCP was defined as 5% and considered clinically relevant.

Results

In total, 7832 complete cases of NTCP values for different kinds of toxicity in the 6th, 12th, 18th and 24th month after the end of radiotherapy together with the corresponding maxΔDmean_week1 were obtained. The Spearman’s rank correlation coefficient between maxΔDmean_week1 and  ΔNTCP  was 0.42 ( p-value <0.001)(Fig.1). For major ΔNTCP, the cutoff maxΔDmean_week1  was 5.14Gy, the proportion of true candidate of ART was 4.5%, the proportion of classified candidate of ART was 19.1% which included all the true candidate of ART. (Fig.2).

Fig.1 

Fig.2



Conclusion

Using 5.14 Gy as a cutoff value for ΔDmean of OARs in the first week enables classifying all true candidates of ART who present ΔNTCP ≥ 5%, meanwhile correctly spares 80.9% of patients from labor-intensive procedure of ART.