A New Theranostic Paradigm for Advanced Thyroid Cancer

Pattison, David A.; Solomon, Benjamin; Hicks, Rodney J.

doi:10.2967/jnumed.116.173534

Cited by 10 publications

(4 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a complete image-based dosimetry tool, the algorithm has been employed in a variety of clinical studies for both therapeutic and diagnostic dose evaluation which have been used to inform patient management. [24][25][26][27] The overall residual error was observed to be comparable between iteratively optimized and tri-exponential algorithms, however, the VoMM method was shown to be most accurate at the early image phase with increasing error at later time points. This is to be anticipated as the observed activityand potential to influence sum of squared errorcarries less weight for the optimization task.…”

Section: Resultsmentioning

confidence: 99%

“…That step will typically be equally or more computationally intensive than the pharmacokinetics process described in this work and as such this method of pharmacokinetic interpolation should not be considered a significant bottleneck to clinical workflows. As a complete image‐based dosimetry tool, the algorithm has been employed in a variety of clinical studies for both therapeutic and diagnostic dose evaluation which have been used to inform patient management 24–27 …”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Technical Note: Rapid multiexponential curve fitting algorithm for voxel‐based targeted radionuclide dosimetry

et al. 2020

Self Cite

View full text Add to dashboard Cite

Background: Dosimetry in nuclear medicine often relies on estimating pharmacokinetics based on sparse temporal data. As analysis methods move toward image-based three-dimensional computation, it becomes important to interpolate and extrapolate these data without requiring manual intervention; that is, in a manner that is highly efficient and reproducible. Iterative least-squares solvers are poorly suited to this task because of the computational overhead and potential to optimize to local minima without applying tight constraints at the outset. Methodology: This work describes a fully analytical method for solving three-phase exponential time-activity curves based on three measured time points in a manner that may be readily employed by image-based dosimetry tools. The methodology uses a series of conditional statements and a piecewise approach for solving exponential slope directly through measured values in most instances. The proposed algorithm is tested against a purpose-designed iterative fitting technique and linear piecewise method followed by single exponential in a cohort of ten patients receiving 177 Lu-DOTA-Octreotate therapy. Results: Tri-exponential time-integrated values are shown to be comparable to previously published methods with an average difference between organs when computed at the voxel level of 9.8 AE 14.2% and À3.6 AE 10.4% compared to iterative and interpolated methods, respectively. Of the three methods, the proposed tri-exponential algorithm was most consistent when regional time-integrated activity was evaluated at both voxel-and whole-organ levels. For whole-body SPECT imaging, it is possible to compute 3D time-integrated activity maps in <5 min processing time. Furthermore, the technique is able to predictably and reproducibly handle artefactual measurements due to noise or spatial misalignment over multiple image times. Conclusions: An efficient, analytical algorithm for solving multiphase exponential pharmacokinetics is reported. The method may be readily incorporated into voxel-dose routines by combining with widely available image registration and radiation transport tools.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Technical Note: Rapid multiexponential curve fitting algorithm for voxel‐based targeted radionuclide dosimetry

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…On the background of these successes, increasingly sophisticated integration of theranostics into mainstream oncological therapy is in progress. This includes efforts to manipulate target expression pharmacologically, for example with the use of mitogen-activated kinase (MAPK) pathway inhibitors in non-iodine-avid thyroid cancer (17). Improved prescription of administered activity through dosimetry estimation and combination of radionuclide therapy with radiosensitizing chemotherapy, DNA-repair modifying agents or immune check-point mediators are all being actively investigated in the expectation of further enhancing patient outcomes.…”

Section: A35mentioning

confidence: 99%

The Proceedings of the 19th International Cancer Imaging Society Meeting and Annual Teaching Course

2019

Cancer Imaging

View full text Add to dashboard Cite

Differentiation between pancreatic ductal adenocarcinoma (PDAC) and mass-forming pancreatitis is of utmost importance, as the two entities require completely different treatment strategies and have a different prognosis. However, there is overlap in imaging features, which makes preoperative diagnosis challenging. Mass-forming pancreatitis can be seen in different clinical scenarios: it may occur in up to 20% of patients with chronic pancreatitis (CP), predominantly in the pancreatic head. To make things even more complicated, the risk of developing ductal adenocarcinoma is markedly increased in patients with CP. PDAC and mass-forming CP

show abstract

“…For radioiodine therapy, pharmacologic manipulation of target expression involves upregulation of iodine transporter expression through increased thyrotropin levels (endogenous or exogenous) and, more recently, through use of tyrosine kinase inhibitors in the mitogen-activated protein kinase pathway in iodine-refractory thyroid cancer (11). For PRRT, somatostatin analog therapy may influence somatostatin receptor expression.…”

mentioning

confidence: 99%