Evidence map›Paper›PMID 36964768›Full record

ArticleEuropean radiology2023

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

Freba Grawe, Ricarda Ebner, Thomas Geyer, Leonie Beyer, Michael Winkelmann, Gabriel T Sheikh, Ralf Eschbach, Christine Schmid-Tannwald, Clemens C Cyran, Jens Ricke and 7 more

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 4 institutions in 2 countries.

Freba GraweDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany. Freba.Grawe@med.uni-muenchen.de.
Ricarda EbnerDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Thomas GeyerDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Leonie BeyerDepartment of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany.
Michael WinkelmannDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Gabriel T SheikhDepartment of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany.
Ralf EschbachDepartment of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany.
Christine Schmid-TannwaldDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Clemens C CyranDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Jens RickeDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Peter BartensteinDepartment of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany.
Maurice M HeimerDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Lorenzo FaggioniDepartment of Translational Research, Academic Radiology, University of Pisa, Via Roma, 67, 56126, Pisa, Italy.
Christine SpitzwegDepartment of Internal Medicine 4, University Hospital, LMU Munich, 81377, Munich, Germany.
Matthias P FabritiusDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Christoph J AuernhammerDepartment of Internal Medicine 4, University Hospital, LMU Munich, 81377, Munich, Germany.
Johannes RuebenthalerDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
LMU Klinikum · DELudwig-Maximilians-Universität München · DEEuropean Neuroendocrine Tumor Society · DEUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe 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.

methodsSSTR-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).

resultsInterreader 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).

conclusionSSTR-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. KEY POINTS: • 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.

Indexed as

Neuroendocrine TumorsPositron Emission Tomography Computed TomographyHumansRadionuclide ImagingReceptors, SomatostatinReproducibility of ResultsReceptors, SomatostatinNeuroendocrine tumorsPositron emission tomography computed tomographySomatostatin

Identifiers

PMID36964768
PMCPMC10121493
OpenAlexW4360942011

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.