Literature DB >> 35275019

Dynamic 68Ga-DOTATATE PET/MRI in the Diagnosis and Management of Intracranial Meningiomas.

Jana Ivanidze1, Michelle Roytman1, Myrto Skafida1, Sean Kim1, Shannon Glynn1, Joseph R Osborne1, Susan C Pannullo1, Sadek Nehmeh1, Rohan Ramakrishna1, Theodore H Schwartz1, Jonathan P S Knisely1, Eaton Lin1, Nicolas A Karakatsanis1.   

Abstract

Purpose To evaluate dynamic gallium 68 (68Ga) tetraazacyclododecane tetraacetic acid octreotate (DOTATATE) brain PET/MRI as an adjunct modality in meningioma, enabling multiparametric standardized uptake value (SUV) and Patlak net binding rate constant (Ki) imaging, and to optimize static acquisition period. Materials and Methods In this prospective study (ClinicalTrials.gov no. NCT04081701, DOMINO-START), 68Ga-DOTATATE PET/MRI-derived time-activity curves (TACs) were measured in 84 volumes of interest in 19 participants (mean age, 63 years; range, 36-89 years; 13 women; 2019-2021) with meningiomas. Region- and voxel-specific Ki were determined using Patlak analysis with a validated population-based reference tissue TAC model built from an independent data set of nine participants. Mean and maximum absolute and relative-to-superior-sagittal-sinus SUVs were extracted from the entire 50 minutes (SUV50) and last 10 minutes (SUV10) of acquisition. SUV versus Ki Spearman correlation, SUV and Ki meningioma versus posttreatment-change Mann-Whitney U tests, and SUV50 versus SUV10 Wilcoxon matched-pairs signed rank tests were performed. Results Absolute and relative maximum SUV50 demonstrated a strong positive correlation with Patlak Ki in meningioma (r = 0.82, P < .001 and r = 0.85, P < .001, respectively) and posttreatment-change lesions (r = 0.88, P = .007 and r = 0.83, P = .02, respectively). Patlak Ki images yielded higher lesion contrast by mitigating nonspecific background signal. All SUV50 and SUV10 metrics differed between meningioma and posttreatment-change regions (P < .001). Within the meningioma group, SUV10 attained higher mean scores than SUV50 (P < .001). Conclusion Combined SUV and Patlak K i 68Ga-DOTATATE PET/MRI enabled multiparametric evaluation of meningioma, offering the potential to enhance lesion contrast with Ki imaging and optimize the SUV measurement postinjection window. Keywords: Molecular Imaging-Clinical Translation, Neuro-Oncology, PET/MRI, Dynamic, Patlak ClinicalTrials.gov registration no. NCT04081701 © RSNA, 2022.

Entities:  

Keywords:  Dynamic; Molecular Imaging–Clinical Translation; Neuro-Oncology; PET/MRI; Patlak

Mesh:

Substances:

Year:  2022        PMID: 35275019      PMCID: PMC8965533          DOI: 10.1148/rycan.210067

Source DB:  PubMed          Journal:  Radiol Imaging Cancer        ISSN: 2638-616X


  33 in total

1.  WHO grade II and III meningiomas: a study of prognostic factors.

Authors:  Anne Durand; François Labrousse; Anne Jouvet; Luc Bauchet; Michel Kalamaridès; Philippe Menei; Robert Deruty; Jean Jacques Moreau; Michelle Fèvre-Montange; Jacques Guyotat
Journal:  J Neurooncol       Date:  2009-06-27       Impact factor: 4.130

2.  Affinity profiles for human somatostatin receptor subtypes SST1-SST5 of somatostatin radiotracers selected for scintigraphic and radiotherapeutic use.

Authors:  J C Reubi; J C Schär; B Waser; S Wenger; A Heppeler; J S Schmitt; H R Mäcke
Journal:  Eur J Nucl Med       Date:  2000-03

3.  A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research.

Authors:  Terry K Koo; Mae Y Li
Journal:  J Chiropr Med       Date:  2016-03-31

4.  CBTRUS Statistical Report: Primary brain and other central nervous system tumors diagnosed in the United States in 2010-2014.

Authors:  Quinn T Ostrom; Haley Gittleman; Peter Liao; Toni Vecchione-Koval; Yingli Wolinsky; Carol Kruchko; Jill S Barnholtz-Sloan
Journal:  Neuro Oncol       Date:  2017-11-06       Impact factor: 12.300

5.  Improved Detection of Transosseous Meningiomas Using 68Ga-DOTATATE PET/CT Compared with Contrast-Enhanced MRI.

Authors:  Wolfgang G Kunz; Lisa M Jungblut; Philipp M Kazmierczak; Franziska J Vettermann; Andreas Bollenbacher; Jörg C Tonn; Christian Schichor; Axel Rominger; Nathalie L Albert; Peter Bartenstein; Maximilian F Reiser; Clemens C Cyran
Journal:  J Nucl Med       Date:  2017-04-27       Impact factor: 10.057

6.  Does whole-body Patlak 18F-FDG PET imaging improve lesion detectability in clinical oncology?

Authors:  Guillaume Fahrni; Nicolas A Karakatsanis; Giulia Di Domenicantonio; Valentina Garibotto; Habib Zaidi
Journal:  Eur Radiol       Date:  2019-01-28       Impact factor: 5.315

7.  Dynamic whole-body PET parametric imaging: II. Task-oriented statistical estimation.

Authors:  Nicolas A Karakatsanis; Martin A Lodge; Y Zhou; Richard L Wahl; Arman Rahmim
Journal:  Phys Med Biol       Date:  2013-09-30       Impact factor: 3.609

8.  Generalized whole-body Patlak parametric imaging for enhanced quantification in clinical PET.

Authors:  Nicolas A Karakatsanis; Yun Zhou; Martin A Lodge; Michael E Casey; Richard L Wahl; Habib Zaidi; Arman Rahmim
Journal:  Phys Med Biol       Date:  2015-10-28       Impact factor: 3.609

9.  [68Ga]-DOTATATE PET/MRI as an adjunct imaging modality for radiation treatment planning of meningiomas.

Authors:  Sean S Mahase; Diana A Roth O'Brien; Diana No; Michelle Roytman; Myrto E Skafida; Eaton Lin; Nicolas A Karakatsanis; Joseph R Osborne; Andrew Brandmaier; Susan C Pannullo; Rohan Ramakrishna; Philip E Stieg; Jonathan P S Knisely; Jana Ivanidze
Journal:  Neurooncol Adv       Date:  2021-01-21

10.  Diagnostic performance of a whole-body dynamic 68GA-DOTATOC PET/CT acquisition to differentiate physiological uptake of pancreatic uncinate process from pancreatic neuroendocrine tumor.

Authors:  Philippe Thuillier; David Bourhis; Nicolas Karakatsanis; Ulrike Schick; Jean Philippe Metges; Pierre-Yves Salaun; Véronique Kerlan; Ronan Abgral
Journal:  Medicine (Baltimore)       Date:  2020-08-14       Impact factor: 1.817

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  1 in total

1.  Evaluating diagnostic accuracy and determining optimal diagnostic thresholds of different approaches to [68Ga]-DOTATATE PET/MRI analysis in patients with meningioma.

Authors:  Sean H Kim; Michelle Roytman; Gabriela Madera; Rajiv S Magge; Benjamin Liechty; Rohan Ramakrishna; Susan C Pannullo; Theodore H Schwartz; Nicolas A Karakatsanis; Joseph R Osborne; Eaton Lin; Jonathan P S Knisely; Jana Ivanidze
Journal:  Sci Rep       Date:  2022-06-03       Impact factor: 4.996

  1 in total

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