Dose reduction in abdominal CT: The road to submillisievert imaging.

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.

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.

Who cites it

4 citing papers in PubMed.

1. Application of deep learning reconstruction of ultra-low-dose abdominal CT in the diagnosis of renal calculi.Insights into imaging · 2022
   Article
2. Optimization of radiation dose for CT detection of lytic and sclerotic bone lesions: a phantom study.European radiology · 2020
   Article
3. Sparse sampling computed tomography (SpSCT) for detection of pulmonary embolism: a feasibility study.European radiology · 2019
   Article
4. Effects of virtual tube current reduction and sparse sampling on MDCT-based femoral BMD measurements.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2018
   Article

Corrections and comments

• Comment on
  Can We Perform CT of the Appendix with Less Than 1 mSv? A De-escalating Dose-simulation Study.2018

Authors and funding

2 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

Indexed as