Imaging Characteristics and First Experience of [68Ga]THP-PSMA, a Novel Probe for Rapid Kit-Based Ga-68 Labeling and PET Imaging: Comparative Analysis ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-08

AUTHORS

Thorsten Derlin, Sebastian Schmuck, Cathleen Juhl, Steffi Teichert, Johanna Zörgiebel, Hans-Jürgen Wester, Sophie M. Schneefeld, Almut C. A. Walte, James T. Thackeray, Tobias L. Ross, Frank M. Bengel

ABSTRACT

PURPOSE: [68Ga]Trishydroxypyridinone (THP)-prostate-specific membrane antigen (PSMA) is a novel tracer that can be labeled in one step by cold reconstitution of a kit with unprocessed generator eluate, targeting PSMA via the lysine-urea-glutamate (KuE) motif. The aim of this study was to evaluate the human imaging characteristics of [68Ga]THP-PSMA. PROCEDURES: [68Ga]THP-PSMA positron emission tomography (PET)/x-ray computed tomography (CT) was performed in 25 patients with biochemical recurrence after radical prostatectomy for prostate cancer. Urinary and biliary excretion and tumor lesion uptake were quantified using standardized uptake values (SUVs). Imaging characteristics were assessed in terms of non-target organ uptake, background activity, target-to-background ratios (TBRs) of tumor lesions, and frequency of bladder halo artifacts. Findings were compared to a matched cohort of 25 patients undergoing PET/CT with the established agent [68Ga]PSMA I&T. RESULTS: Physiologic uptake of [68Ga]THP-PSMA was significantly lower in salivary glands (P < 0.0001), liver (P < 0.0001), spleen (P < 0.0001), and kidneys (P < 0.0001) than with [68Ga]PSMA I&T. While biliary tracer excretion of [68Ga]THP-PSMA was negligible, urinary tracer excretion of [68Ga]THP-PSMA was fast, and significantly higher than for [68Ga]PSMA I&T, contributing to a higher frequency of bladder artifacts. Malignant lesion uptake of [68Ga]THP-PSMA assessed as either SUV or TBR was significantly lower than with [68Ga]PSMA I&T. CONCLUSION: [68Ga]THP-PSMA yields suitable in vivo uptake characteristics. The simplified synthesis method for [68Ga]THP-PSMA may facilitate wider application and higher patient throughput with PSMA imaging. However, direct intraindividual comparison studies are needed to assess the relative performance of [68Ga]THP-PSMA vs other PSMA ligands in terms of clinical detection rate and image quality. More... »

PAGES

650-658

References to SciGraph publications

  • 2017-06. Comparison of standard and delayed imaging to improve the detection rate of [68Ga]PSMA I&T PET/CT in patients with biochemical recurrence or prostate-specific antigen persistence after primary therapy for prostate cancer in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2017-05. Early dynamic imaging in 68Ga- PSMA-11 PET/CT allows discrimination of urinary bladder activity and prostate cancer lesions in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2016-06. PSMA-Based [18F]DCFPyL PET/CT Is Superior to Conventional Imaging for Lesion Detection in Patients with Metastatic Prostate Cancer in MOLECULAR IMAGING AND BIOLOGY
  • 2017-04. F-18 labelled PSMA-1007: biodistribution, radiation dosimetry and histopathological validation of tumor lesions in prostate cancer patients in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2015-12. Rapid kit-based 68Ga-labelling and PET imaging with THP-Tyr3-octreotate: a preliminary comparison with DOTA-Tyr3-octreotate in EJNMMI RESEARCH
  • 2017-08. Comparison of PSMA-HBED and PSMA-I&T as diagnostic agents in prostate carcinoma in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2016-12. 68Ga-PSMA I&T PET/CT for assessment of prostate cancer: evaluation of image quality after forced diuresis and delayed imaging in EUROPEAN RADIOLOGY
  • 2017-08. Diagnostic performance of 68Ga-PSMA-11 (HBED-CC) PET/CT in patients with recurrent prostate cancer: evaluation in 1007 patients in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2015-11. PSMA PET/CT with Glu-urea-Lys-(Ahx)-[68Ga(HBED-CC)] versus 3D CT volumetric lymph node assessment in recurrent prostate cancer in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2015-02. The diagnostic value of PET/CT imaging with the 68Ga-labelled PSMA ligand HBED-CC in the diagnosis of recurrent prostate cancer in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11307-018-1160-8

    DOI

    http://dx.doi.org/10.1007/s11307-018-1160-8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1100467100

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/29344901


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