Evidence map›Paper›PMID 38769164›Full record

ArticleEuropean radiology2024

Validation of the standardization framework SSTR-RADS 1.0 for neuroendocrine tumors using the novel SSTR‑targeting peptide [

R Ebner, A Lohse, M P Fabritius, J Rübenthaler, C Wängler, B Wängler, R Schirrmacher, F Völter, H P Schmid, L M Unterrainer and 9 more

Abstract readValidation Study
In one paragraph

Article in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Head-to-Head comparison of [European journal of nuclear medicine and molecular imaging · 2026
    Article
  4. Article
  5. Observational
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

19 authors.

R Ebner *Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany. ricarda.ebner@med.uni-muenchen.de.ORCID http://orcid.org/0009-0001-0851-0094
A Lohse *Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany.
M P FabritiusDepartment of Radiology, LMU University Hospital, LMU Munich, Munich, Germany.
J RübenthalerDepartment of Radiology, LMU University Hospital, LMU Munich, Munich, Germany.
C WänglerBiomedical Chemistry, Clinic of Radiology and Nuclear Medicine, Medical Faculty Mannheim of Heidelberg University, Mannheim, Germany.
B WänglerBiomedical Chemistry, Clinic of Radiology and Nuclear Medicine, Medical Faculty Mannheim of Heidelberg University, Mannheim, Germany.
R SchirrmacherDepartment of Oncology, Division of Oncological Imaging, University of Alberta, Edmonton, Canada.
F VölterDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
H P SchmidDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
L M UnterrainerDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
O ÖcalDepartment of Radiology, LMU University Hospital, LMU Munich, Munich, Germany.
A HinterbergerDKFZ Hector Cancer Institute at the University Medical Center Mannheim, Heidelberg, Germany.
C SpitzwegInterdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS certified Center of Excellence), LMU University Hospital, LMU Munich, Munich, Germany.
C J AuernhammerInterdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS certified Center of Excellence), LMU University Hospital, LMU Munich, Munich, Germany.
T GeyerDepartment of Radiology, LMU University Hospital, LMU Munich, Munich, Germany.
J RickeDepartment of Radiology, LMU University Hospital, LMU Munich, Munich, Germany.
P BartensteinInterdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS certified Center of Excellence), LMU University Hospital, LMU Munich, Munich, Germany.
A HolzgreveDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
F GraweDepartment of Radiology, LMU University Hospital, LMU Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSomatostatin receptor positron emission tomography/computed tomography (SSTR-PET/CT) using [

methodsFour readers assessed [

resultsThe 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%).

conclusionSSTR-RADS 1.0 represents a highly reproducible and consistent framework system for stratifying SSTR-targeted PET/CT scans, even using the novel SSTR-ligand [ CLINICAL RELEVANCE STATEMENT: SSTR-RADS 1.0 is a consistent framework for categorizing somatostatin receptor-targeted PET/CT scans when using [ KEY POINTS: 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 [

Indexed as

Neuroendocrine TumorsPositron Emission Tomography Computed TomographyRadiopharmaceuticalsReceptors, SomatostatinAdultAgedAged, 80 and overFemaleFluorine RadioisotopesHumansMaleMiddle AgedOctreotideReproducibility of ResultsFluorine RadioisotopesOctreotideRadiopharmaceuticalsReceptors, SomatostatinMolecular imagingNeuroendocrine tumorsPositron emission tomography-computed tomographySomatostatin

Identifiers

PMID38769164
PMCPMC11519286

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Registered trials

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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 OpenQuestion graph.