Quantitative imaging for clinical dosimetry

Bardiès, Manuel; Flux, Glenn; Laßmann, Michael; Monsieurs, Myriam; Savolainen, Sauli; Strand, Sven‐Erik

doi:10.1016/j.nima.2006.08.068

Cited by 9 publications

(6 citation statements)

References 21 publications

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“…The optimisation of MRT therapies requires individualised calculation of absorbed dose to both targeted lesions and organs at risk. Such patient-specific dosimetry is now regarded as an essential component of MRT therapies [2]. In a recent review of the use of dosimetry in the clinical practice of MRT it was concluded that 'evidence strongly implies a correlation between the absorbed doses delivered and the response and toxicity' and that 'dosimetry-based personalised treatments will improve outcomes and increase survival' [3].…”

Section: Introductionmentioning

confidence: 99%

Improving molecular radiotherapy dosimetry using anthropomorphic calibration

et al. 2019

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The optimised delivery of Molecular Radiotherapy requires individualised calculation of absorbed dose to both targeted lesions and neighbouring healthy tissue. To achieve this, accurate quantification of the activity distribution in the patient by external detection is vital. Methods: This work extends specific anatomy-related calibration to true organ shapes. A set of patient-specific 3D printed organ inserts based on a diagnostic CT scan was produced, comprising the liver, spleen and both kidneys. The inserts were used to calculate patient-specific calibration factors for 177 Lu. These calibration factors were compared with previously reported calibration factors for corresponding organ models based on the Cristy and Eckerman phantom series and for a comparably sized sphere. Monte Carlo calculations of the patientspecific radiation dose were performed for comparison with current clinical dosimetry methods for these data. Results: Patient-specific calibration factors are shown to be dependent on the volume, shape and position of the organ containing activity with a corresponding impact on the calculation of the dose to the patient. The impact of organ morphology on calculated dose is reduced when the dominant contributor to dose is beta particles. This is due to the small range of beta particles in tissue. Overestimations of recovered activity and hence dose of up to 135% are observed. Conclusion: For accurate quantification to be performed calibration factors accounting for organ size, shape and position must be used. Such quantification is vital if accurate, patient-specific dosimetry is to be achieved.

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Section: Introductionmentioning

confidence: 99%

Improving molecular radiotherapy dosimetry using anthropomorphic calibration

et al. 2019

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“…6 shows that of the features extracted from pre-treatment PET imaging, SUV max and tumor volume are most relevant to dose estimation. Dosimetry methods have been established in the last decades to calculate the dose distribution of the applied therapeutic agents based on a series of planar or 3D images [39][40][41][42][43][44][45][46][47], which can be used to quantify the whole-body dosimetry of the therapeutic agent. The series of scintigraphy were taken at different time points to sufficiently cover the kinetics of the radiopharmaceutical.…”

Section: Discussionmentioning

confidence: 99%

Application of machine learning to pretherapeutically estimate dosimetry in men with advanced prostate cancer treated with 177Lu-PSMA I&T therapy

Xue

Gafita

Dong

et al. 2022

Eur J Nucl Med Mol Imaging

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Purpose Although treatment planning and individualized dose application for emerging prostate-specific membrane antigen (PSMA)-targeted radioligand therapy (RLT) are generally recommended, it is still difficult to implement in practice at the moment. In this study, we aimed to prove the concept of pretherapeutic prediction of dosimetry based on imaging and laboratory measurements before the RLT treatment. Methods Twenty-three patients with metastatic castration-resistant prostate cancer (mCRPC) treated with 177Lu-PSMA I&T RLT were included retrospectively. They had available pre-therapy 68 Ga-PSMA-HEBD-CC PET/CT and at least 3 planar and 1 SPECT/CT imaging for dosimetry. Overall, 43 cycles of 177Lu-PSMA I&T RLT were applied. Organ-based standard uptake values (SUVs) were obtained from pre-therapy PET/CT scans. Patient dosimetry was calculated for the kidney, liver, spleen, and salivary glands using Hermes Hybrid Dosimetry 4.0 from the planar and SPECT/CT images. Machine learning methods were explored for dose prediction from organ SUVs and laboratory measurements. The uncertainty of these dose predictions was compared with the population-based dosimetry estimates. Mean absolute percentage error (MAPE) was used to assess the prediction uncertainty of estimated dosimetry. Results An optimal machine learning method achieved a dosimetry prediction MAPE of 15.8 ± 13.2% for the kidney, 29.6% ± 13.7% for the liver, 23.8% ± 13.1% for the salivary glands, and 32.1 ± 31.4% for the spleen. In contrast, the prediction based on literature population mean has significantly larger MAPE (p < 0.01), 25.5 ± 17.3% for the kidney, 139.1% ± 111.5% for the liver, 67.0 ± 58.3% for the salivary glands, and 54.1 ± 215.3% for the spleen. Conclusion The preliminary results confirmed the feasibility of pretherapeutic estimation of treatment dosimetry and its added value to empirical population-based estimation. The exploration of dose prediction may support the implementation of treatment planning for RLT.

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“… 15 , Bardiès et al . 16 and Ljungberg et al . 17 , 18 which focused more on conventional radionuclide imaging methods.…”

Section: Introductionmentioning

confidence: 92%

Quantitative Imaging for Targeted Radionuclide Therapy Dosimetry - Technical Review

Lambert

et al. 2017

Theranostics

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Targeted radionuclide therapy (TRT) is a promising technique for cancer therapy. However, in order to deliver the required dose to the tumor, minimize potential toxicity in normal organs, as well as monitor therapeutic effects, it is important to assess the individualized internal dosimetry based on patient-specific data. Advanced imaging techniques, especially radionuclide imaging, can be used to determine the spatial distribution of administered tracers for calculating the organ-absorbed dose. While planar scintigraphy is still the mainstream imaging method, SPECT, PET and bremsstrahlung imaging have promising properties to improve accuracy in quantification. This article reviews the basic principles of TRT and discusses the latest development in radionuclide imaging techniques for different theranostic agents, with emphasis on their potential to improve personalized TRT dosimetry.

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Quantitative imaging for clinical dosimetry

Cited by 9 publications

References 21 publications

Improving molecular radiotherapy dosimetry using anthropomorphic calibration

Improving molecular radiotherapy dosimetry using anthropomorphic calibration

Application of machine learning to pretherapeutically estimate dosimetry in men with advanced prostate cancer treated with 177Lu-PSMA I&T therapy

Quantitative Imaging for Targeted Radionuclide Therapy Dosimetry - Technical Review

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