Evidence map›Paper›PMID 37103075›Full record

ArticleIn vivo (Athens, Greece)

Evaluation of Image Quality of Overweight and Obese Patients in CT Using High Data Rate Detectors.

Idana Feldmane, Christian Gampp, Daniel Hausmann, Stylianos Mavridis, André Euler, Lukas J Hefermehl, Friedrich Knoth, Rahel A Kubik-Huch, Antonio Nocito, Tilo Niemann

Abstract read
In one paragraph

Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. An evaluation of reliability in measurement of native femoral torsion on CT imaging.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2025
    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

10 authors.

Idana FeldmaneDepartment for Radiology, Kantonsspital Baden, Baden, Switzerland.
Christian GamppDepartment of Health Sciences and Technology, Swiss Federal Institute of Technology, ETH Zurich, Zurich, Switzerland.
Daniel HausmannDepartment for Radiology, Kantonsspital Baden, Baden, Switzerland.
Stylianos MavridisDepartment for Radiology, Kantonsspital Baden, Baden, Switzerland.
André EulerDepartment for Radiology, Kantonsspital Baden, Baden, Switzerland.
Lukas J HefermehlDepartment of Surgery, Division of Urology, Kantonsspital Baden, Baden, Switzerland.
Friedrich KnothSiemens Healthcare GmbH, Forchheim, Germany.
Rahel A Kubik-HuchDepartment for Radiology, Kantonsspital Baden, Baden, Switzerland.
Antonio NocitoDepartment of Surgery, Kantonsspital Baden, Baden, Switzerland.
Tilo NiemannDepartment for Radiology, Kantonsspital Baden, Baden, Switzerland; tilo.niemann@ksb.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimTo evaluate the impact of high data rate and sampling frequency detector technology compared to standard scan equipment on the image quality in abdominal computed tomography (CT) of overweight and obese patients. PATIENTS AND

methodsA total of 173 patients were retrospectively included in this study. Objective image quality in abdominal CT was evaluated using comparative analysis with new detector technology prior to market launch and standard CT equipment. Contrast noise ratio (CNR), image noise, volumetric computed tomography dose index (CTDI

resultsImage quality was superior in the new detector technology for all parameters evaluated. The dose dependent parameters Q and Q

conclusionA significant increase in objective image quality could be demonstrated using a new generation detector setup with increased frequency transfer in abdominal CT of overweight patients.

Indexed as

ObesityOverweightHumansRadiation DosageRetrospective StudiesTomography, X-Ray ComputedabdomenComputed tomographyimage qualityobesity

Identifiers

PMID37103075
PMCPMC10188035

What OpenQuestion holds

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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.