Dose optimization in nuclear medicine therapy of benign and malignant thyroid diseases

Population exposure-response model of 131I in patients with benign thyroid disease

PURPOSE

The study aimed to explore the relationship of different exposure measures with ¹³¹I therapy response in patients with benign thyroid disease, estimate the variability in the response, investigate possible covariates, and discuss dosing implications of the results.

METHODS

A population exposure-response analysis was performed using nonlinear mixed-effects modelling. Data from 95 adult patients with benign thyroid disease were analysed. Evaluated exposure parameters were: administered radioactivity dose (Aa) [MBq], total absorbed dose (ABD) [Gy], maximum of absorbed dose-rate (MXR) [Gy/h] and biologically effective dose (BED) [Gy]. The response was modelled as ordered categorical data: hyper-, eu- and hypothyroidism. The final model performance was evaluated by a visual predictive check.

RESULTS

The probability of the outcome following ¹³¹I therapy was best described by a proportional-odds model, including the log-linear model of ¹³¹I effect and the exponential model of the response-time relationship. All exposure measures were statistically significant with p<0.001, with BED and ABD being statistically better than the other two. Nevertheless, as BED resulted in the lowest AIC value, it was included in the final model. Accordingly, BED value of 289.7 Gy is associated with 80% probability of successful treatment outcome 12 months after ¹³¹I application in patients with median thyroid volume (32.28 mL). The target thyroid volume was a statistically significant covariate. The visual predictive check of the final model showed good model performance.

CONCLUSION

Our results imply that BED formalism could aid in therapy individualisation. The larger thyroid volume is associated with a lower probability of a successful outcome.

Prospects for Personalised Treatment of Patients with Radioiodine-avid Locally Recurrent or Metastatic Thyroid Cancer

Although most patients with metastatic or inoperable locally recurrent differentiated thyroid cancer have radioiodine-avid disease, the outcome for patients who do not achieve remission with radioiodine therapy is poor. Most centres use fixed empirical activities of radioiodine to treat these patients, which is in contrast to other areas of oncology, where there is a shift to more individualised treatment. The use of dosimetry techniques to calculate a more appropriate activity of radioiodine for each patient may increase the effectiveness of radioiodine therapy but is more complex, time-consuming and of unproven benefit. This review addresses some of the limitations of empirical radioiodine therapy, discusses existing dosimetry-based approaches to individualising therapy and proposes further work in this area. A prospective randomised controlled trial comparing empirical activities of radioiodine with activities guided by a combination of lesional dosimetry and maximum safe dose has not been carried out previously. Although considerable challenges in the design of such a study remain, a network of centres in the UK now has the potential to take this forward.