Evidence map›Paper›PMID 32200203›Full record

ArticleClinical imaging2020

Retrospective analysis of 1118 outpatient chest CT scans to determine factors associated with excess scan length.

Stuart L Cohen, Thomas J Ward, Alex Makhnevich, Safiya Richardson, Matthew D Cham

Open access · greenAbstract read
In one paragraph

Article in Clinical imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Opportunistic Screening on Chest CT, From theAJR. American journal of roentgenology · 2026
    Review
  5. Article
  6. Review
  7. AI for image quality and patient safety in CT and MRI.European radiology experimental · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

5 authors at 5 institutions in 1 country.

Stuart L CohenDonald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States of America; Northwell Health Imaging, Manhasset, NY, United States of America; Imaging Clinical Effectiveness & Outcomes Research Program at Northwell Health, Manhasset, NY, United States of America; Center for Health Innovations and Outcomes Research, Feinstein Institute for Medical Research at Northwell Health, Manhasset, NY, United States of America. Electronic address: slcohen@northwell.edu.
Thomas J WardFlorida Hospital Radiology, Orlando, FL, United States of America.
Alex MakhnevichDonald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States of America; Center for Health Innovations and Outcomes Research, Feinstein Institute for Medical Research at Northwell Health, Manhasset, NY, United States of America; Northwell Health Internal Medicine, Manhasset, NY, United States of America.
Safiya RichardsonDonald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States of America; Center for Health Innovations and Outcomes Research, Feinstein Institute for Medical Research at Northwell Health, Manhasset, NY, United States of America; Northwell Health Internal Medicine, Manhasset, NY, United States of America.
Matthew D ChamUniversity of Washington Radiology, Seattle, WA, United States of America.
AdventHealth Orlando · USDonald & Barbara Zucker School of Medicine at Hofstra/Northwell · USFeinstein Institute for Medical Research · USNorthwell Health · USUniversity of Washington · US

Funding

Nudging Provider Adoption of Clinical Decision SupportK23HL145114 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RICHARDSON, SAFIYA · 2019 to 2023
$863k
NHLBI NIH HHS K23 HL145114
6 · The paper itself

Abstract

RATIONALE

objectivesExcess z-axis scanning continues as an unnecessary source of radiation. This study seeks to determine patient, technologist and CT factors that affect excess scan length for chest CT. MATERIALS AND

methodsRetrospective evaluation of 1118 consecutive noncontrast chest CT scans, over twelve consecutive months, was performed for evaluation of scan length above and below the lung parenchyma. Scan length >2 cm was considered excessive. Bivariate analysis for mean excess scan length and presence of excess scan length analyzed technologist's exam volume during the study period, patient age, patient gender, day of week, and time of day as categorical variables. Technologists performing >100 chest CT scans during the study period were considered high-volume while all others were considered low-volume.

resultsMean excess scan length was 5 mm, 29 mm, and 33 mm above the lungs, below the lungs, and total. 81% and 95% of studies had excess scanning above the lungs and below the lungs respectively. Multivariable analysis showed that high volume technologists, male patients, and patients younger than 65 had a greater amount of excess scan length and presence of excessive scanning above the lungs; high volume technologists and male patients had a greater amount of excess scan length below the lungs, and high volume technologists and patients older than 65 had greater presence of excessive scanning below the lungs, each p < 0.001.

conclusionsExcess scanning on chest CT is common, varies by patient age and gender and was significantly greater for high volume technologists.

Indexed as

Tomography, X-Ray ComputedAdultFemaleHumansLungMaleMiddle AgedOutpatientsRadiation DosageRadionuclide ImagingRetrospective StudiesChest CTExcess scanningRadiation doseTechnologist

Identifiers

PMID32200203
PMCPMC7598945
OpenAlexW3004384529

What OpenQuestion holds

Textmetadata
LicenceTDM
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.