Evidence map›Paper›PMID 38546824›Full record

ArticleAbdominal radiology (New York)2024

Protocol optimization for abdominal imaging using photon-counting CT: a consensus of two academic institutions.

Fides R Schwartz, Daniele Marin, Ludovica Lofino, Andres Abadia, Thomas O'Donnell, Bari Dane

Abstract readMulticenter StudyConsensus Statement
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 2024. 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
2.2field-weighted citation impact, top 13% 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, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

6 authors at 4 institutions in 1 country.

Fides R SchwartzDuke University Hospital and Brigham and Women's Hospital, Boston, USA. frschwartz@bwh.harvard.edu.ORCID http://orcid.org/0000-0002-3598-7082
Daniele MarinDuke University Hospital, Durham, USA.
Ludovica LofinoDuke University Hospital, Durham, USA.
Andres AbadiaSiemens Healthineers, Malvern, PA, USA.
Thomas O'DonnellSiemens Healthineers, Malvern, PA, USA.
Bari DaneNew York University Langone Hospital, New York, USA.
Duke University Hospital · USSiemens Healthcare (United States) · USBrigham and Women's Hospital · USNYU Langone Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePhoton-counting detector CT (PCD CT) is a promising technology for abdominal imaging due to its ability to provide high spatial and contrast resolution images with reduced patient radiation exposure. However, there is currently no consensus regarding the optimal imaging protocols for PCD CT. This article aims to present the PCD CT abdominal imaging protocols used by two tertiary care academic centers in the United States.

methodsA review of PCD CT abdominal imaging protocols was conducted by two abdominal radiologists at different academic institutions. Protocols were compared in terms of acquisition parameters and reconstruction settings. Both imaging centers independently selected similar protocols for PCD CT abdominal imaging, using QuantumPlus mode.

resultsThere were some differences in the use of reconstruction kernels and iterative reconstruction levels, however the individual combination at each site resulted in similar image impressions. Overall, the imaging protocols used by both centers provide high-quality images with low radiation exposure.

conclusionThese findings provide valuable insights into the development of standardized protocols for PCD CT abdominal imaging, which can help to ensure consistent as well as high-quality imaging across different institutions and allow for future multicenter research collaborations.

Indexed as

Radiation DosageRadiography, AbdominalTomography, X-Ray ComputedAcademic Medical CentersHumansPhotonsRadiographic Image Interpretation, Computer-AssistedUnited StatesAbdominal imagingPhoton-counting CTProtocol optimization

Identifiers

PMID38546824
OpenAlexW4393262970

What OpenQuestion holds

Textmetadata
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.