Validation of the SSTR-RADS 1.0 for the structured interpretation of SSTR-PET/CT and treatment planning in neuroendocrine tumor (NET) patients.


Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
May 2023
Historique:
received: 02 09 2022
accepted: 06 02 2023
revised: 16 01 2023
medline: 25 4 2023
pubmed: 26 3 2023
entrez: 25 3 2023
Statut: ppublish

Résumé

The recently proposed standardized reporting and data system for somatostatin receptor (SSTR)-targeted PET/CT SSTR-RADS 1.0 showed promising first results in the assessment of diagnosis and treatment planning with peptide receptor radionuclide therapy (PRRT) in neuroendocrine tumors (NET). This study aimed to determine the intra- and interreader agreement of SSTR-RADS 1.0. SSTR-PET/CT scans of 100 patients were independently evaluated by 4 readers with different levels of expertise according to the SSTR-RADS 1.0 criteria at 2 time points within 6 weeks. For each scan, a maximum of five target lesions were freely chosen by each reader (not more than three lesions per organ) and stratified according to the SSTR-RADS 1.0 criteria. Overall scan score and binary decision on PRRT were assessed. Intra- and interreader agreement was determined using the intraclass correlation coefficient (ICC). Interreader agreement using SSTR-RADS 1.0 for identical target lesions (ICC ≥ 0.91) and overall scan score (ICC ≥ 0.93) was excellent. The decision to state "functional imaging fulfills requirements for PRRT and qualifies patient as potential candidate for PRRT" also demonstrated excellent agreement among all readers (ICC ≥ 0.86). Intrareader agreement was excellent even among different experience levels when comparing target lesion-based scores (ICC ≥ 0.98), overall scan score (ICC ≥ 0.93), and decision for PRRT (ICC ≥ 0.88). SSTR-RADS 1.0 represents a highly reproducible and accurate system for stratifying SSTR-targeted PET/CT scans with high intra- and interreader agreement. The system is a promising approach to standardize the diagnosis and treatment planning in NET patients. • SSTR-RADS 1.0 offers high reproducibility and accuracy. • SSTR-RADS 1.0 is a promising method to standardize diagnosis and treatment planning for patients with NET.

Identifiants

pubmed: 36964768
doi: 10.1007/s00330-023-09518-y
pii: 10.1007/s00330-023-09518-y
pmc: PMC10121493
doi:

Substances chimiques

Receptors, Somatostatin 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3416-3424

Informations de copyright

© 2023. The Author(s).

Références

Hofman MS, Lau WF, Hicks RJ (2015) Somatostatin receptor imaging with 68Ga DOTATATE PET/CT: clinical utility, normal patterns, pearls, and pitfalls in interpretation. Radiographics 35:500–516
doi: 10.1148/rg.352140164 pubmed: 25763733
Shastry M, Kayani I, Wild D et al (2010) Distribution pattern of 68Ga-DOTATATE in disease-free patients. Nucl Med Commun 31:1025–1032
doi: 10.1097/MNM.0b013e32833f635e pubmed: 20926978
Werner RA, Solnes LB, Javadi MS et al (2018) SSTR-RADS Version 1.0 as a reporting system for SSTR PET imaging and selection of potential PRRT candidates: a proposed standardization framework. J Nucl Med 59:1085–1091
doi: 10.2967/jnumed.117.206631 pubmed: 29572257
Bozkurt MF, Virgolini I, Balogova S et al (2017) Guideline for PET/CT imaging of neuroendocrine neoplasms with (68)Ga-DOTA-conjugated somatostatin receptor targeting peptides and (18)F-DOPA. Eur J Nucl Med Mol Imaging 44:1588–1601
doi: 10.1007/s00259-017-3728-y pubmed: 28547177
Geijer H, Breimer LH (2013) Somatostatin receptor PET/CT in neuroendocrine tumours: update on systematic review and meta-analysis. Eur J Nucl Med Mol Imaging 40:1770–1780
doi: 10.1007/s00259-013-2482-z pubmed: 23873003
Van Essen M, Krenning EP, De Jong M, Valkema R, Kwekkeboom DJ (2007) Peptide receptor radionuclide therapy with radiolabelled somatostatin analogues in patients with somatostatin receptor positive tumours. Acta Oncol 46:723–734
doi: 10.1080/02841860701441848 pubmed: 17653893
Zidan L, Iravani A, Kong G, Akhurst T, Michael M, Hicks RJ (2021) Theranostic implications of molecular imaging phenotype of well-differentiated pulmonary carcinoid based on (68)Ga-DOTATATE PET/CT and (18)F-FDG PET/CT. Eur J Nucl Med Mol Imaging 48:204–216
doi: 10.1007/s00259-020-04915-7 pubmed: 32572559
Strosberg J, El-Haddad G, Wolin E et al (2017) Phase 3 trial of (177)Lu-dotatate for midgut neuroendocrine tumors. N Engl J Med 376:125–135
doi: 10.1056/NEJMoa1607427 pubmed: 28076709 pmcid: 5895095
Strosberg J, Wolin E, Chasen B et al (2018) Health-related quality of life in patients with progressive midgut neuroendocrine tumors treated with (177)Lu-dotatate in the Phase III NETTER-1 Trial. J Clin Oncol 36:2578–2584
doi: 10.1200/JCO.2018.78.5865 pubmed: 29878866 pmcid: 6366953
Kwekkeboom DJ, Kam BL, van Essen M et al (2010) Somatostatin-receptor-based imaging and therapy of gastroenteropancreatic neuroendocrine tumors. Endocr Relat Cancer 17:R53-73
doi: 10.1677/ERC-09-0078 pubmed: 19995807
Krenning EP, Kwekkeboom DJ, Bakker WH et al (1993) Somatostatin receptor scintigraphy with [111In-DTPA-D-Phe1]- and [123I-Tyr3]-octreotide: the Rotterdam experience with more than 1000 patients. Eur J Nucl Med 20:716–731
doi: 10.1007/BF00181765 pubmed: 8404961
Hicks RJ, Dromain C, de Herder WW et al (2022) ENETS standardized (synoptic) reporting for molecular imaging studies in neuroendocrine tumours. J Neuroendocrinol 34:e13040
doi: 10.1111/jne.13040 pubmed: 34668262
Weich A, Higuchi T, Bundschuh RA et al (2022) Training on Reporting and Data System (RADS) for somatostatin-receptor targeted molecular imaging can reduce the test anxiety of inexperienced readers. Mol Imaging Biol. https://doi.org/10.1007/s11307-022-01712-6
doi: 10.1007/s11307-022-01712-6 pubmed: 35312939 pmcid: 9296404
Werner RA, Derlin T, Rowe SP et al (2021) High interobserver agreement for the standardized reporting system SSTR-RADS 1.0 on somatostatin receptor PET/CT. J Nucl Med 62:514–520
doi: 10.2967/jnumed.120.245464 pubmed: 32859702 pmcid: 8049367
Cicchetti D (1994) Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instrument in psychology. Psychol Assess 6:284–290
doi: 10.1037/1040-3590.6.4.284
Diedenhofen B, Musch J (2016) cocron: a web interface and R package for the statistical comparison of Cronbachʼs alpha coefficients. Int J Internet Sci 2016:51–60
Fendler WP, Barrio M, Spick C et al (2017) 68Ga-DOTATATE PET/CT interobserver agreement for neuroendocrine tumor assessment: results of a prospective study on 50 patients. J Nucl Med 58:307–311
doi: 10.2967/jnumed.116.179192 pubmed: 27539839 pmcid: 5290122
Werner RA, Weich A, Kircher M et al (2018) The theranostic promise for neuroendocrine tumors in the late 2010s - where do we stand, where do we go? Theranostics 8:6088–6100
doi: 10.7150/thno.30357 pubmed: 30613284 pmcid: 6299695
Ambrosini V, Kunikowska J, Baudin E et al (2021) Consensus on molecular imaging and theranostics in neuroendocrine neoplasms. Eur J Cancer 146:56–73
doi: 10.1016/j.ejca.2021.01.008 pubmed: 33588146 pmcid: 8903070
Herrmann K, Giovanella L, Santos A et al (2022) Joint EANM, SNMMI and IAEA enabling guide: how to set up a theranostics centre. J Nucl Med. https://doi.org/10.2967/jnumed.122.264321
doi: 10.2967/jnumed.122.264321 pubmed: 36581374 pmcid: 9536712
Fendler WP, Calais J, Allen-Auerbach M et al (2017) (68)Ga-PSMA-11 PET/CT interobserver agreement for prostate cancer assessments: an international multicenter prospective study. J Nucl Med 58:1617–1623
doi: 10.2967/jnumed.117.190827 pubmed: 28408531
Woodhouse B, Pattison S, Segelov E et al (2019) Consensus-derived quality performance indicators for neuroendocrine tumour care. J Clin Med 8(9). https://doi.org/10.3390/jcm8091455
Kumar R, Sharma P, Garg P et al (2011) Role of (68)Ga-DOTATOC PET-CT in the diagnosis and staging of pancreatic neuroendocrine tumours. Eur Radiol 21:2408–2416
doi: 10.1007/s00330-011-2199-y pubmed: 21750886
Werner RA, Bundschuh RA, Bundschuh L et al (2018) Molecular imaging reporting and data systems (MI-RADS): a generalizable framework for targeted radiotracers with theranostic implications. Ann Nucl Med 32:512–522
doi: 10.1007/s12149-018-1291-7 pubmed: 30109562 pmcid: 6182628
Werner RA, Bundschuh RA, Bundschuh L et al (2019) Novel structured reporting systems for theranostic radiotracers. J Nucl Med 60:577–584
doi: 10.2967/jnumed.118.223537 pubmed: 30796171 pmcid: 6495242

Auteurs

Freba Grawe (F)

Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany. Freba.Grawe@med.uni-muenchen.de.
Department of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany. Freba.Grawe@med.uni-muenchen.de.

Ricarda Ebner (R)

Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.

Thomas Geyer (T)

Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.

Leonie Beyer (L)

Department of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany.
Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS Certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany.

Michael Winkelmann (M)

Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.

Gabriel T Sheikh (GT)

Department of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany.

Ralf Eschbach (R)

Department of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany.

Christine Schmid-Tannwald (C)

Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.

Clemens C Cyran (CC)

Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS Certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany.

Jens Ricke (J)

Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS Certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany.

Peter Bartenstein (P)

Department of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany.
Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS Certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany.

Maurice M Heimer (MM)

Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.

Lorenzo Faggioni (L)

Department of Translational Research, Academic Radiology, University of Pisa, Via Roma, 67, 56126, Pisa, Italy.

Christine Spitzweg (C)

Department of Internal Medicine 4, University Hospital, LMU Munich, 81377, Munich, Germany.
Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS Certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany.

Matthias P Fabritius (MP)

Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.

Christoph J Auernhammer (CJ)

Department of Internal Medicine 4, University Hospital, LMU Munich, 81377, Munich, Germany.
Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS Certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany.

Johannes Ruebenthaler (J)

Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS Certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany.

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