Evidence map›Paper›PMID 37998554›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Optimization of Y-90 Radioembolization Imaging for Post-Treatment Dosimetry on a Long Axial Field-of-View PET/CT Scanner.

Pia M Linder, Wenhong Lan, Nils F Trautwein, Julia Brosch-Lenz, Sebastian von Beschwitz, Jürgen Kupferschläger, Gerald Reischl, Gerd Grözinger, Helmut Dittmann, Christian la Fougère and 1 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Large axial field of view PET/CT - Not just a longer PET gantry.Zeitschrift fur medizinische Physik · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Current Research in Drug-Free Cancer Therapies.Bioengineering (Basel, Switzerland) · 2025
    Review
  9. Low-activity [EJNMMI physics · 2025
    Article
  10. Article
  11. Article
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

11 authors at 2 institutions in 1 country.

Pia M LinderDepartment of Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tuebingen, 72076 Tuebingen, Germany.ORCID 0000-0002-0615-4137
Wenhong LanDepartment of Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tuebingen, 72076 Tuebingen, Germany.
Nils F TrautweinDepartment of Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tuebingen, 72076 Tuebingen, Germany.ORCID 0000-0003-3397-6299
Julia Brosch-LenzDepartment of Nuclear Medicine, Klinikum Rechts der Isar, Technical University Munich, 81675 Munich, Germany.
Sebastian von BeschwitzDepartment of Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tuebingen, 72076 Tuebingen, Germany.
Jürgen KupferschlägerDepartment of Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tuebingen, 72076 Tuebingen, Germany.
Gerald ReischlWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard-Karls University Tuebingen, 72074 Tuebingen, Germany.ORCID 0000-0003-3961-116X
Gerd GrözingerDepartment for Diagnostic and Interventional Radiology, University Hospital Tuebingen, 72076 Tuebingen, Germany.
Helmut DittmannDepartment of Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tuebingen, 72076 Tuebingen, Germany.ORCID 0000-0001-6840-5571
Christian la FougèreDepartment of Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tuebingen, 72076 Tuebingen, Germany.ORCID 0000-0001-7519-0417
Fabian P SchmidtDepartment of Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tuebingen, 72076 Tuebingen, Germany.ORCID 0000-0003-1886-4803
Siemens (Germany) · DETUM Klinikum · DE

Funding

Deutsche Forschungsgemeinschaft EXC 2180-390900677Deutsche Forschungsgemeinschaft INST 37/1145-1 FUGG
6 · The paper itself

Abstract

backgroundPET imaging after yttrium-90 (Y-90) radioembolization is challenging because of the low positron fraction of Y-90 (32 × 10

methodsTwo phantoms (NEMA IEC and AbdoMan phantoms, mimicking human liver) filled with Y-90 and a 4:1 sphere (tumor)-to-background ratio were scanned for 24 h with the Biograph Vision Quadra (Siemens Healthineers). Eight patients were scanned after Y-90 radioembolization (1.3-4.7 GBq) using the optimized protocol (obtained by phantom studies). The IQ, contrast recovery coefficients (CRCs) and noise were evaluated for their limited and full acceptance angles, different rebinned scan durations, numbers of iterations and post-reconstruction filters. The s-value-based absorbed doses were calculated to assess their suitability for dosimetry.

resultsThe phantom studies demonstrate that two iterations, five subsets and a 4 mm Gaussian filter provide a reasonable compromise between a high CRC and low noise. For a 20 min scan duration, an adequate CRC of 56% (vs. 24 h: 62%, 20 mm sphere) was obtained, and the noise was reduced by a factor of 1.4, from 40% to 29%, using the full acceptance angle. The patient scan results were consistent with those from the phantom studies, and the impacts on the absorbed doses were negligible for all of the studied parameter sets, as the maximum percentage difference was -3.89%.

conclusionsWith 2i5s, a 4 mm filter and a scan duration of 20 min, IQ and quantification accuracy that are suitable for post-treatment dosimetry of Y-90 radioembolization can be achieved.

Indexed as

LAFOVPET/CTradioembolizationSIRTtotal body PETY90

Identifiers

PMID37998554
PMCPMC10670048
OpenAlexW4388523472

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.