Evidence map›Paper›PMID 29110049›Full record

ArticleSkeletal radiology2018

Diagnostic accuracy of low-dose versus ultra-low-dose CT for lumbar disc disease and facet joint osteoarthritis in patients with low back pain with MRI correlation.

Sun Hwa Lee, Seong Jong Yun, Hyeon Hwan Jo, Dong Hyeon Kim, Jae Gwang Song, Yong Sung Park

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Skeletal radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.1field-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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Quantifying skeletal burden in fibrous dysplasia using sodium fluoride PET/CT.European journal of nuclear medicine and molecular imaging · 2020
    Article
  7. Article
  8. 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 3 institutions in 1 country.

Sun Hwa LeeDepartment of Emergency Medicine, Sanggye Paik Hospital, Inje University College of Medicine, 1342 Dongil-ro, Seoul, Nowon-gu, 139-707, Republic of Korea.
Seong Jong YunDepartment of Radiology, Aerospace Medical Center, Republic of Korea Air Force, PO Box 335-21, 635 Danjae-ro, Namil-myeon, Cheongwon-gun, Chungcheongbuk-do, 363-849, Republic of Korea. zoomknight@naver.com.
Hyeon Hwan JoDepartment of Radiology, Aerospace Medical Center, Republic of Korea Air Force, PO Box 335-21, 635 Danjae-ro, Namil-myeon, Cheongwon-gun, Chungcheongbuk-do, 363-849, Republic of Korea.
Dong Hyeon KimDepartment of Radiology, Aerospace Medical Center, Republic of Korea Air Force, PO Box 335-21, 635 Danjae-ro, Namil-myeon, Cheongwon-gun, Chungcheongbuk-do, 363-849, Republic of Korea.
Jae Gwang SongDepartment of Orthopedic Surgery, Aerospace Medical Center, Republic of Korea Air Force, PO Box 335-21, 635 Danjae-ro, Namil-myeon, Cheongwon-gun, Chungcheongbuk-do, 363-849, Republic of Korea.
Yong Sung ParkDepartment of Radiology, Kyung Hee University Hospital at Gangdong, Kyung Hee University School of Medicine, 149 Sangil-dong, Gangdong-gu, Seoul, 134-727, Republic of Korea.
Korea Air Force Academy · KRInje University Sanggye Paik Hospital · KRKyung Hee University Hospital at Gangdong · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the image quality, radiation dose, and diagnostic performance between low-dose (LD) and ultra-low-dose (ULD) lumbar-spine (L-spine) CT with iterative reconstruction (IR) for patients with chronic low back pain (LBP).

methodsIn total, 260 patients with chronic LBP who underwent L-spine CT between November 2015 and September 2016 were prospectively enrolled. Of these, 143 underwent LD-CT with IR and 117 underwent ULD-CT with IR. The patients were divided according to their body mass index (BMI) into BMI1 (<22.9 kg/m

resultsULD protocol showed significantly lower SNR for all patients (p < 0.001) except the vertebral bodies and lower qualitative image quality for BMI3 patients (p ≤ 0.033). There was no statistically significant difference between ULD (sensitivity, 95.1-98.1%; specificity, 92.5-98.7%; accuracy, 94.6-98.0%) and LD protocols (sensitivity, 95.6-100%; specificity, 95.5-98.9%; accuracy, 97.4-98.1%), (all p≥0.1) in the BMI1 and BMI2; while dose was 60-68% lower with the ULD protocol. Interobserver agreements were excellent or good with regard to image quality and final diagnoses.

conclusionsFor the BM1 and BMI2 groups, ULD-CT provided an acceptable image quality and exhibited a diagnostic accuracy similar to that of LD-CT. These findings suggest that it is a useful diagnostic tool for patients with chronic LBP who exhibit a BMI of <25 kg/m

Indexed as

AdultAgedAged, 80 and overBody Mass IndexChronic DiseaseFemaleHumansIntervertebral Disc DisplacementLow Back PainLumbar VertebraeMagnetic Resonance ImagingMaleMiddle AgedOsteoarthritisProspective StudiesRadiation DosageComputed tomographyDiagnostic performanceFacet joint osteoarthritisImage qualityLumbar disc herniation

Identifiers

PMID29110049
OpenAlexW2767667435

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.