Validation of the standardization framework SSTR-RADS 1.0 for neuroendocrine tumors using the novel SSTR‑targeting peptide [
Molecular imaging
Neuroendocrine tumors
Positron emission tomography-computed tomography
Somatostatin
Journal
European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774
Informations de publication
Date de publication:
20 May 2024
20 May 2024
Historique:
received:
27
11
2023
accepted:
18
04
2024
revised:
27
02
2024
medline:
21
5
2024
pubmed:
21
5
2024
entrez:
20
5
2024
Statut:
aheadofprint
Résumé
Somatostatin receptor positron emission tomography/computed tomography (SSTR-PET/CT) using [ Four readers assessed [ The ICC analysis on the inter-reader agreement using SSTR-RADS 1.0 for identical target lesions (ICC ≥ 85%), overall scan score (ICC ≥ 90%), and the decision to recommend PRRT (ICC ≥ 85%) showed excellent agreement. However, significant differences were observed in recommending PRRT among experienced readers (ER) (p = 0.020) and inexperienced readers (IR) (p = 0.004). Compartment-based analysis demonstrated good to excellent inter-reader agreement for most organs (ICC ≥ 74%), except for lymph nodes (ICC ≥ 53%). SSTR-RADS 1.0 represents a highly reproducible and consistent framework system for stratifying SSTR-targeted PET/CT scans, even using the novel SSTR-ligand [ SSTR-RADS 1.0 is a consistent framework for categorizing somatostatin receptor-targeted PET/CT scans when using [ SSTR-RADS 1.0 is a valuable tool for managing patients with NET. SSTR-RADS 1.0 categorizes patients with showing strong agreement across diverse reader expertise. As an alternative to [
Identifiants
pubmed: 38769164
doi: 10.1007/s00330-024-10788-3
pii: 10.1007/s00330-024-10788-3
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2024. The Author(s).
Références
Bozkurt MF, Virgolini I, Balogova S et al (2017) Guideline for PET/CT imaging of neuroendocrine neoplasms with
doi: 10.1007/s00259-017-3728-y
pubmed: 28547177
Poeppel TD, Binse I, Petersenn S et al (2011)
doi: 10.2967/jnumed.111.091165
pubmed: 22072704
Sundin A, Arnold R, Baudin E et al (2017) ENETS consensus guidelines for the standards of care in neuroendocrine tumors: radiological, nuclear medicine and hybrid imaging. Neuroendocrinology 105:212–244
doi: 10.1159/000471879
pubmed: 28355596
Lindner S, Wängler C, Bailey JJ et al (2020) Radiosynthesis of [
doi: 10.1038/s41596-020-00407-y
pubmed: 33230332
Gower-Fry L, Kronemann T, Dorian A et al (2021) Recent advances in the clinical translation of silicon fluoride acceptor (SiFA)
Litau S, Niedermoser S, Vogler N et al (2015) Next generation of SiFAlin-based TATE derivatives for PET imaging of SSTR-positive tumors: influence of molecular design on in vitro SSTR binding and in vivo pharmacokinetics. Bioconjug Chem 26:2350–2359
doi: 10.1021/acs.bioconjchem.5b00510
pubmed: 26420336
Dasari A, Shen C, Halperin D et al (2017) Trends in the incidence, prevalence, and survival outcomes in patients with neuroendocrine tumors in the United States. JAMA Oncol 3:1335
doi: 10.1001/jamaoncol.2017.0589
pubmed: 28448665
pmcid: 5824320
Mittra ES (2018) Neuroendocrine tumor therapy:
doi: 10.2214/AJR.18.19953
pubmed: 29949416
Haug AR (2020) PRRT of neuroendocrine tumors: individualized dosimetry or fixed dose scheme? EJNMMI Res 10:35
doi: 10.1186/s13550-020-00623-3
pubmed: 32296955
pmcid: 7158965
Strosberg JR, Caplin ME, Kunz PL et al (2021)
doi: 10.1016/S1470-2045(21)00572-6
pubmed: 34793718
Strosberg J, El-Haddad G, Wolin E et al (2017) Phase 3 trial of
doi: 10.1056/NEJMoa1607427
pubmed: 28076709
pmcid: 5895095
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
Grawe F, Ebner R, Geyer T et al (2023) Validation of the SSTR-RADS 1.0 for the structured interpretation of SSTR-PET/CT and treatment planning in neuroendocrine tumor (NET) patients. Eur Radiol 33:3416–3424
doi: 10.1007/s00330-023-09518-y
pubmed: 36964768
pmcid: 10121493
Werner RA, Derlin T, Rowe SP et al (2020) High interobserver agreement for the standardized reporting system SSTR-RADS 1.0 on somatostatin receptor PET/CT. J Nucl Med. https://doi.org/10.2967/jnumed.120.245464:jnumed.120.2454
Leupe H, Ahenkorah S, Dekervel J et al (2023)
doi: 10.2967/jnumed.123.265622
pubmed: 37169533
Wängler C, Waser B, Alke A et al (2010) One-step
doi: 10.1021/bc100316c
pubmed: 21082773
Blok S, Wängler C, Bartenstein P, Jurkschat K, Schirrmacher R, Lindner S (2023) Good practices for the automated production of
doi: 10.1186/s41181-023-00215-1
pubmed: 37819534
pmcid: 10567618
Gabriel M (2018) Radiopeptidtherapie—der „Mustang“ in der therapie von neuroendokrinen tumoren des gastroentero-pankreatischen systems? J Klin Endokrinol Stoffwechsel 11:81–85
doi: 10.1007/s41969-018-0034-7
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 Cronbach’s alpha coefficients. Int J Internet Sci 2016:51–60
Campbell I (2007) Chi-squared and Fisher–Irwin tests of two-by-two tables with small sample recommendations. Stat Med 26:3661–3675
doi: 10.1002/sim.2832
pubmed: 17315184
Niedermoser S, Chin J, Wängler C et al (2015) In vivo evaluation of
doi: 10.2967/jnumed.114.149583
pubmed: 25977461
Cives M, Strosberg J (2017) Radionuclide therapy for neuroendocrine tumors. Curr Oncol Rep 19:9
Hope TA, Abbott A, Colucci K et al (2019) NANETS/SNMMI procedure standard for somatostatin receptor-based peptide receptor radionuclide therapy with
doi: 10.2967/jnumed.118.230607
pubmed: 31263080
Zandee WT, Merola E, Poczkaj K et al (2022) Evaluation of multidisciplinary team decisions in neuroendocrine neoplasms: Impact of expert centres. Eur J Cancer Care (Engl) 31:e13639
doi: 10.1111/ecc.13639
pubmed: 35735226
Werner RA, Hartrampf PE, Fendler WP et al (2023) Prostate-specific membrane antigen reporting and data system version 2.0. Eur Urol 84:491–502
doi: 10.1016/j.eururo.2023.06.008
pubmed: 37414701
Seifert R, Emmett L, Rowe SP et al (2023) Second version of the prostate cancer molecular imaging standardized evaluation framework including response evaluation for clinical trials (PROMISE V2). Eur Urol 83:405–412
doi: 10.1016/j.eururo.2023.02.002
pubmed: 36935345
Ilhan H, Lindner S, Todica A et al (2020) Biodistribution and first clinical results of
doi: 10.1007/s00259-019-04501-6
pubmed: 31492994
Husband JE (2002) CT/MRI of nodal metastases in pelvic cancer. Cancer Imaging 2:123–129
pmcid: 4448593
Riihimäki M, Hemminki A, Sundquist K, Sundquist J, Hemminki K (2016) The epidemiology of metastases in neuroendocrine tumors Int J Cancer 139:2679–2686
doi: 10.1002/ijc.30400
pubmed: 27553864
Grawe F, Rosenberger N, Ingenerf M et al (2023) Diagnostic performance of PET/CT in the detection of liver metastases in well-differentiated NETs. Cancer Imaging 23:41
doi: 10.1186/s40644-023-00556-9
pubmed: 37098632
pmcid: 10131442
An JY, Unsdorfer KML, Weinreb JC (2019) BI-RADS, C-RADS, CAD-RADS, LI-RADS, lung-RADS, NI-RADS, O-RADS, PI-RADS, TI-RADS: reporting and data systems. Radiographics 39:1435–1436
doi: 10.1148/rg.2019190087
pubmed: 31498744
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
Unterrainer M, Lindner S, Beyer L et al (2021) PET imaging of meningioma using the novel SSTR-targeting peptide
doi: 10.1097/RLU.0000000000003607
pubmed: 33782306
Ilhan H, Todica A, Lindner S et al (2019) First-in-human
doi: 10.1007/s00259-019-04448-8
pubmed: 31352578