Evidence map›Paper›PMID 37071165›Full record

ArticleEuropean radiology2023

Ultra-high resolution CT imaging of interstitial lung disease: impact of photon-counting CT in 112 patients.

Yann Gaillandre, Alain Duhamel, Thomas Flohr, Jean-Baptiste Faivre, Suonita Khung, Antoine Hutt, Paul Felloni, Jacques Remy, Martine Remy-Jardin

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06537934 (Advanced Mutidimensional and Ultra High Resolution Computed Tomography to Inspect Cardiopulmonary Involvement in Progressive Fibrosing Interstitial Lung Diseases), which is not on this map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
7.0field-weighted citation impact, top 2% 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.

NCT06537934 recruitingnot on this mapstarted 2024, after this paper: background citation

Advanced Mutidimensional and Ultra High Resolution Computed Tomography to Inspect Cardiopulmonary Involvement in Progressive Fibrosing Interstitial Lung Diseases

TypeobservationalSponsorIRCCS San RaffaeleRan2024 to 2026Enrolled123ConditionsInterstitial Lung Diseases
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Yann GaillandreULR 2694 METRICS Evaluation des technologies de santé et des pratiques médicales, F-59000, Lille, France.
Alain DuhamelULR 2694 METRICS Evaluation des technologies de santé et des pratiques médicales, F-59000, Lille, France.
Thomas FlohrDepartment of Computed Tomography Research & Development, Siemens Healthineers, 91301, Forchheim, Germany.
Jean-Baptiste FaivreULR 2694 METRICS Evaluation des technologies de santé et des pratiques médicales, F-59000, Lille, France.
Suonita KhungULR 2694 METRICS Evaluation des technologies de santé et des pratiques médicales, F-59000, Lille, France.
Antoine HuttULR 2694 METRICS Evaluation des technologies de santé et des pratiques médicales, F-59000, Lille, France.
Paul FelloniULR 2694 METRICS Evaluation des technologies de santé et des pratiques médicales, F-59000, Lille, France.
Jacques RemyULR 2694 METRICS Evaluation des technologies de santé et des pratiques médicales, F-59000, Lille, France.
Martine Remy-JardinULR 2694 METRICS Evaluation des technologies de santé et des pratiques médicales, F-59000, Lille, France. martine.remy@chu-lille.fr.
Evaluation des technologies de santé et des pratiques médicalesCentre Hospitalier Universitaire de Lille · FRSiemens Healthcare (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo compare lung parenchyma analysis on ultra-high resolution (UHR) images of a photon-counting CT (PCCT) scanner with that of high-resolution (HR) images of an energy-integrating detector CT (EID-CT).

methodsA total of 112 patients with stable interstitial lung disease (ILD) were investigated (a) at T0 with HRCT on a 3

resultsDespite a higher level of objective noise at T1 (74.1 ± 14.1 UH vs 38.1 ± 8.7 UH; p < 0.0001), higher qualitative scores were observed at T1 with (a) visualization of more distal bronchial divisions (median order; Q1-Q3) (T1: 10

conclusionsThe UHR scanning mode of PCCT allowed a more precise depiction of CT features of ILDs and reclassification of ILD patterns with significant radiation dose reduction. CLINICAL RELEVANCE STATEMENT: Evaluation of lung parenchymal structures with ultra-high-resolution makes subtle changes at the level of the secondary pulmonary lobules and lung microcirculation becoming visually accessible, opening new options for synergistic collaborations between highly-detailed morphology and artificial intelligence. KEY POINTS: • Photon-counting CT (PCCT) provides a more precise analysis of lung parenchymal structures and CT features of interstitial lung diseases (ILDs). • The UHR mode ensures a more precise delineation of fine fibrotic abnormalities with the potential of modifying the categorization of ILD patterns. • Better image quality at a lower radiation dose with PCCT opens new horizons for further dose reduction in noncontrast UHR examinations.

Indexed as

LungLung Diseases, InterstitialTomography, X-Ray ComputedArtificial IntelligenceHumansPhotonsComputed tomographyHumansLungLung diseases, interstitialThorax

Identifiers

PMID37071165
OpenAlexW4366234958

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.