Evidence map›Paper›PMID 29666814›Full record

ReviewAnnals of translational medicine2018

Digital chest tomosynthesis: the 2017 updated review of an emerging application.

Arianna Ferrari, Luca Bertolaccini, Piergiorgio Solli, Paola Oriana Di Salvia, David Scaradozzi

Registry-linked trialOpen access · hybridAbstract readReview
In one paragraph

Review in Annals of translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07411989 (Shape-sensing Versus Electromagnetic Robotic Bronchoscopy for Evaluation of PulmoNary LEsions), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.6field-weighted citation impact, top 10% 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.

NCT07411989 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Shape-sensing Versus Electromagnetic Robotic Bronchoscopy for Evaluation of PulmoNary LEsions: the SERENE Trial

TypeinterventionalSponsorThe Cleveland ClinicRan2026 to 2028Enrolled346ConditionsPeripheral Pulmonary Lesions (PPLs), Lung NodulesArmsBronchoscopy for peripheral pulmonary lesion biopsy
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Lung nodule localization and size estimation on chest tomosynthesis.Journal of medical imaging (Bellingham, Wash.) · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. [Extraction of respiratory signals from chest tomosynthesis].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2021
    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 3 countries.

Arianna FerrariDipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche, Ancona, Italy.
Luca BertolacciniDepartment of Thoracic Surgery, AUSL Romagna Teaching Hospitals, Ravenna, Italy.
Piergiorgio SolliDepartment of Thoracic Surgery, AUSL Bologna, Maggiore Bellaria Teaching Hospitals, Bologna, Italy.
Paola Oriana Di SalviaAgfa-Gevaert S.p.A., Cinisello Balsamo, MI, Italy.
David ScaradozziDipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche, Ancona, Italy.
Agfa-Gevaert (United States) · USAzienda Unità Sanitaria Locale Della Romagna · ITCentre National de la Recherche Scientifique · FRMarche Polytechnic University · ITOspedale Bellaria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the leading cause of cancer death and second most common cancer among both men and women, but most of them are detected when patients become symptomatic and in late-stage. Chest radiography (CR) is a basic technique for the investigation of lung cancer and has the benefit of convenience and low radiation dose, but detection of malignancy is often difficult. The introduction of computed tomography (CT) for screening has increased the proportion of lung cancer detected but with higher exposure dose and higher costs. Digital chest tomosynthesis (DCT), a tomographic technique, may offer an alternative to CT. DCT uses a conventional radiograph tube, a flat-panel detector, a computer-controlled tube mover and reconstruction algorithms to produce section images. It shows promise in the detection of potentially malignant lung nodules, with higher sensibility than CR, and is emerging as a low-dose and low-cost alternative to CT to improve treatment decisions. In fact, an increasing number of researchers are showing that tomosynthesis could have a role in the detection of lung cancer, in addition to its present role in breast screening. However, DCT offers some limitations, such as limited depth resolution, which may explain the difficulty in detecting pathologies in the subpleural region and the occurrence of artefacts from medical devices. Once solved these limitations and once more studies supporting its use will be available, DCT could become the first-line lung cancer screening tool among patients at considerable risk of lung cancer.

Indexed as

digital chest tomosynthesis (DCT)follow-upLung cancerscreening

Identifiers

PMID29666814
PMCPMC5890049
OpenAlexW2752833531

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.