Evidence map›Paper›PMID 40192924›Full record

GuidelineLa Radiologia medica2025

Quantification of progressive pulmonary fibrosis by visual scoring of HRCT images: recommendations from Italian chest radiology experts.

Elisa Baratella, Andrea Borghesi, Lucio Calandriello, Giancarlo Cortese, Giovanni Della Casa, Chiara Giraudo, Emanuele Grassedonio, Anna Rita Larici, Stefano Palmucci, Chiara Romei and 2 more

Erratum issuedAbstract readPractice GuidelineReview
In one paragraph

Guideline in La Radiologia medica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
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  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Elisa BaratellaInstitute of Radiology, Department of Medical Surgical and Health Sciences, Cattinara Hospital, University of Trieste, Via Costantino Costantinides, 2, 34128, Trieste, Italy. elisa.baratella@gmail.com.ORCID http://orcid.org/0000-0002-1061-9507
Andrea BorghesiDepartment of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, ASST Spedali Civili of Brescia, Brescia, Italy.ORCID http://orcid.org/0000-0002-4761-2923
Lucio CalandrielloAdvanced Radiology Center - Department of Diagnostic Imaging, Oncological Radiotherapy and Hematology, A. Gemelli IRCCS University Polyclinic Foundation, Rome, Italy.ORCID http://orcid.org/0000-0002-0280-7348
Giancarlo CorteseHospital Maria Vittoria of Turin, Turin, Italy.ORCID http://orcid.org/0000-0001-5961-200X
Giovanni Della CasaAzienda Ospedaliero-Universitaria of Modena, Modena, Italy.ORCID http://orcid.org/0000-0001-6800-4591
Chiara GiraudoDepartment of Cardiac-Thoracic and Vascular Sciences - DCTV, University of Padova, Padua, Italy.ORCID http://orcid.org/0000-0003-0924-5883
Emanuele GrassedonioSection of Radiology - Department of Biomedicine, Neurosciences and Advanced Diagnostics (BIND), University of Palermo, A.O.U.P. Giaccone, 90127, Palermo, Italy.ORCID http://orcid.org/0000-0002-2113-7300
Anna Rita LariciAdvanced Radiology Center - Department of Diagnostic Imaging, Oncological Radiotherapy and Hematology, A. Gemelli IRCCS University Polyclinic Foundation, Rome, Italy.ORCID http://orcid.org/0000-0002-1882-6244
Stefano PalmucciDepartment of Medical, Surgical Sciences and Advanced Technologies, University of Catania - UOSD IPTRA, AOU Policlinico G. Rodolico-San Marco Di Catania, Catania, Italy.ORCID http://orcid.org/0000-0002-7196-2974
Chiara RomeiSecond Radiology Unit, Radiology Department, Pisa University Hospital, Pisa, Italy.ORCID http://orcid.org/0000-0003-3023-8784
Ubaldo Romeo PlastinaEcoRad Studio di Radiologia ed Ecografia, Reggio Calabria, Italy.ORCID http://orcid.org/0009-0005-2997-9181
Nicola SverzellatiRadiological Sciences, Department of Medicine and Surgery, University of Parma, Parma, Italy.ORCID http://orcid.org/0000-0002-4820-3785

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interstitial lung diseases (ILD) constitute a large and heterogeneous group of disorders affecting the lung parenchyma. While idiopathic pulmonary fibrosis (IPF), the most common type of ILD, is the prototype of progressive fibrosis, other forms, collectively termed "progressive pulmonary fibrosis" (PPF), can show a similar clinical course. Detecting chronic fibrosing ILD progression necessitates radiological evidence using high-resolution computed tomography (HRCT), which determines eligibility for treatment. However, assessing the extent of fibrosis and progression on HRCT images is difficult and lacks specific guidelines. Therefore, expert oversight and high-quality visual assessment/scoring of complex disease patterns is essential to monitor disease changes. Twelve Italian chest radiologists deliberated on the current state of quantifying lung fibrosis using existing literature to develop practice-oriented consensus statements to assist radiologists in visually assessing/scoring lung fibrosis on HRCT images in patients with PPF. The resulting statements cover three key areas: (1) technical requirements necessary for accurate HRCT image assessment; (2) an easy-to-use quantification protocol for routine clinical practice; and (3) a multiple specialist approach by combining radiological, clinical, and histopathological findings for the correct diagnosis, prompt detection of PPF, and timely start of antifibrotic treatment. In future, automated quantitative HRCT evaluation will lead to new clinical assessment tools.

Indexed as

Pulmonary FibrosisTomography, X-Ray ComputedDisease ProgressionHumansIdiopathic Pulmonary FibrosisItalyConsensus statementsFibrosis extentFibrosis progressionHigh-resolution computerized tomographyProgressive pulmonary fibrosis

Identifiers

PMID40192924
PMCPMC12185580

What OpenQuestion holds

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Registered trials

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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.