JADA: A graphical user interface for comprehensive internal dose assessment in nuclear medicine

Grimes, Joshua; Uribe, Carlos; Celler, Anna

doi:10.1118/1.4810963

Cited by 22 publications

(12 citation statements)

References 41 publications

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“…Today current interests in TRT are: correlation between tumor response and dosimetric indicators such as EUBED (whose calculation is based on the differential DVH), D 90% or D 70% ; combination of TRT and external radiation therapy, which requires accurate 3D dosimetry to avoid toxicity and increase ef cacy (Hobbs et al 2011, Ferrari et al 2012, Fourkal et al 2013, Grimes et al 2013, Cremonesi et al 2014. Blurring effects could severely affect the Table 3.…”

Section: Dose Distributions With Voxel-based Modelsmentioning

confidence: 99%

Differences in 3D dose distributions due to calculation method of voxel S-values and the influence of image blurring in SPECT

Pacilio¹,

Amato²,

Lanconelli³

et al. 2015

Phys. Med. Biol.

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This study compares 3D dose distributions obtained with voxel S values (VSVs) for soft tissue, calculated by several methods at their current state-of-the-art, varying the degree of image blurring. The methods were: 1) convolution of Dose Point Kernel (DPK) for water, using a scaling factor method; 2) an analytical model (AM), tting the deposited energy as a function of the source-target distance; 3) a rescaling method (RSM) based on a set of high-resolution VSVs for each isotope; 4) local energy deposition (LED). VSVs calculated by direct Monte Carlo simulations were assumed as reference. Dose distributions were calculated considering spheroidal clusters with various sizes (251, 1237 and 4139 voxels of 3 mm size), uniformly lled with 131 I, 177 Lu, 188 Re or 90 Y. The activity distributions were blurred with Gaussian lters of various widths (6, 8 and 12 mm). Moreover, 3D-dosimetry was performed for 10 treatments with 90 Y derivatives. Cumulative Dose Volume Histograms (cDVHs) were compared, studying the differences in D 95% , D 50% or D max (∆D 95% , ∆D 50% and ∆D max) and dose pro les.

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Section: Dose Distributions With Voxel-based Modelsmentioning

confidence: 99%

Differences in 3D dose distributions due to calculation method of voxel S-values and the influence of image blurring in SPECT

Pacilio¹,

Amato²,

Lanconelli³

et al. 2015

Phys. Med. Biol.

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show abstract

“…For each investigated organ and tumor, its mean dose and dose distribution (represented by the cumulated dose-volume histograms—DVHs) were estimated using the voxel-S approach. Similar to our previous dosimetry study of adult patients, the analysis of images and the dose calculations were performed using our in-house developed dosimetry software JADA [ 31 ]. The matrices of voxel-S value were pre-calculated with the EGSnr DOSXYZnrc Monte Carlo program.…”

Section: Methodsmentioning

confidence: 99%

Patient-specific dosimetry of 99mTc-HYNIC-Tyr3-Octreotide in children

et al. 2017

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BackgroundTechnetium-99m-hydrazinonicotinamide-Tyr3-octreotide (99mTc-HYNIC-TOC) is recognized as a promising radiopharmaceutical for diagnosing neuroendocrine tumors (NETs). However, 99mTc-HYNIC-TOC dosimetry has been investigated only for adults. As pediatric radionuclide therapies become increasingly common, similar dosimetric studies for children are urgently needed. The aim of this study is to report personalized image-based biodistributions and dosimetry evaluations for children studies performed using 99mTc-HYNIC-TOC and to compare them with those from adult subjects.Eleven children/teenage patients with suspected or diagnosed NETs were enrolled. Patient imaging included a series of 2–3 whole-body planar scans and SPECT/CT performed over 2–24 h after the 99mTc-HYNIC-TOC injections. The time-integrated activity coefficients (TIACs) were obtained from the hybrid planar/SPECT technique. Patient-specific doses were calculated using both the voxel-level and the organ-level approaches. Estimated children doses were compared with adults’ dosimetry.ResultsPathologic uptake was observed in five patients. TIACs for normal organs with significant uptakes, i.e., kidneys, spleen, and liver, were similar to adults’ TIACs. Using the voxel-level approach, the average organ doses for children were 0.024 ± 0.009, 0.032 ± 0.017, and 0.017 ± 0.007 mGy/MBq for the kidneys, spleen, and liver, respectively, which were 30% larger than adults’ doses. Similar values were obtained from the organ-level dosimetry when using OLINDA with adapted organ masses. Tumor doses were 0.010–0.024 mGy/MBq. However, cross-organ contributions were much larger in children than in adults, comprising about 15–40% of the total organ/tumor doses. No statistical differences were found between mean doses and dose distributions in patients with and without pathologic uptakes. ConclusionAlthough the children TIACs were similar to those in adults, their doses were about 30% higher. No significant correlation was found between the children’s doses and their ages. However, substantial inter-patient variability in radiotracer uptake, indicating disparity in expression of somatostatin receptor between different patients, emphasizes the importance and necessity of patient-specific dosimetry for clinical studies.

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“…Activity data in each time for source regions can be obtained by a set of tools. This software uses the same OLINDA phantoms and absorbed doses are also estimated by MC simulations [41].…”

Section: Jadamentioning

confidence: 99%

Internal Radiation Dose and Modeling Codes in Nuclear Medicine: A Fresh Look at Old Problems

Ramos

Thomas

Pinheiro

et al. 2017

IJRRT

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JADA: A graphical user interface for comprehensive internal dose assessment in nuclear medicine

Cited by 22 publications

References 41 publications

Differences in 3D dose distributions due to calculation method of voxel S-values and the influence of image blurring in SPECT

Differences in 3D dose distributions due to calculation method of voxel S-values and the influence of image blurring in SPECT

Patient-specific dosimetry of 99mTc-HYNIC-Tyr3-Octreotide in children

Internal Radiation Dose and Modeling Codes in Nuclear Medicine: A Fresh Look at Old Problems

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