Evidence map›Paper›PMID 38512626›Full record

ArticleLa Radiologia medica2024

Pancreatic cancer detection with dual-energy CT: diagnostic performance of 40 keV and 70 keV virtual monoenergetic images.

Yoshifumi Noda, Tomohiro Ando, Tetsuro Kaga, Nao Yamda, Takuya Seko, Takuma Ishihara, Nobuyuki Kawai, Toshiharu Miyoshi, Akio Ito, Takuya Naruse and 4 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in La Radiologia medica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  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

14 authors at 3 institutions in 2 countries.

Yoshifumi NodaDepartment of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan. noda.yoshifumi.g9@f.gifu-u.ac.jp.ORCID http://orcid.org/0000-0003-3611-4790
Tomohiro AndoDepartment of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
Tetsuro KagaDepartment of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
Nao YamdaDepartment of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
Takuya SekoDepartment of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
Takuma IshiharaInnovative and Clinical Research Promotion Center, Gifu University Hospital, 1-1 Yanagido, Gifu, 501-1194, Japan.
Nobuyuki KawaiDepartment of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
Toshiharu MiyoshiDepartment of Radiology Services, Gifu University Hospital, 1-1 Yanagido, Gifu, 501-1194, Japan.
Akio ItoDepartment of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
Takuya NaruseDepartment of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
Fuminori HyodoCenter for One Medicine Innovative Translational Research (COMIT), Institute for Advanced Study, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
Hiroki KatoDepartment of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
Avinash R KambadakoneDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114, USA.
Masayuki MatsuoDepartment of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
Gifu University · JPGifu University Hospital · JPHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare the diagnostic performance of 40 keV and 70 keV virtual monoenergetic images (VMIs) generated from dual-energy CT in the detection of pancreatic cancer.

methodsThis retrospective study included patients who underwent pancreatic protocol dual-energy CT from January 2019 to August 2022. Four radiologists (1-11 years of experience), who were blinded to the final diagnosis, independently and randomly interpreted 40 keV and 70 keV VMIs and graded the presence or absence of pancreatic cancer. For each image set (40 keV and 70 keV VMIs), the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were calculated. The diagnostic performance of each image set was compared using generalized estimating equations.

resultsOverall, 137 patients (median age, 71 years; interquartile range, 63-78 years; 77 men) were included. Among them, 62 patients (45%) had pathologically proven pancreatic cancer. The 40 keV VMIs had higher specificity (75% vs. 67%; P < .001), PPV (76% vs. 71%; P < .001), and accuracy (85% vs. 81%; P = .001) than the 70 keV VMIs. On the contrary, 40 keV VMIs had lower sensitivity (96% vs. 98%; P = .02) and NPV (96% vs. 98%; P = .004) than 70 keV VMIs. However, the diagnostic confidence in patients with (P < .001) and without (P = .001) pancreatic cancer was improved in 40 keV VMIs than in 70 keV VMIs.

conclusionsThe 40 keV VMIs showed better diagnostic performance in diagnosing pancreatic cancer than the 70 keV VMIs, along with higher reader confidence.

Indexed as

Pancreatic NeoplasmsRadiography, Dual-Energy Scanned ProjectionSensitivity and SpecificityTomography, X-Ray ComputedAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesDigestive system diagnostic technicsDual-energy computed tomographyPancreatic cancerVirtual monoenergetic images

Identifiers

PMID38512626
OpenAlexW4393041450

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.