Evidence map›Paper›PMID 41526802›Full record

ArticleInsights into imaging2026

RADS ALPHABET: news and tips for young and general radiologists.

Roberto Cannella, Carolina Lanza, Giuseppe Pellegrino, Domenico Albano, Alessandra Bruno, Giuditta Chiti, Caterina Giannitto, Elisabetta Giannotti, Cristiano Michele Girlando, Francesca Grassi and 10 more

Abstract read
In one paragraph

Article in Insights into imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

20 authors.

Roberto CannellaSection of Radiology, Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy.
Carolina LanzaDepartment of Radiology and Interventional Radiology, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano, Milan, Italy.
Giuseppe PellegrinoDepartment of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milano, Italy. Giuseppe.pellegrino@unimi.it.ORCID http://orcid.org/0000-0002-0992-0028
Domenico AlbanoIRCCS Istituto Ortopedico Galeazzi, Milano, Italy.
Alessandra BrunoDepartment of Clinical, Special and Dental Sciences, University Politecnica delle Marche, Ancona, Italy.
Giuditta ChitiIstituto Fiorentino Analisi, Firenze, Italy.
Caterina GiannittoDepartment of Biomedical Sciences, Humanitas University, Milan, Italy.
Elisabetta GiannottiCambridge Breast Unit, Cambridge University Hospital NHS Foundation Trust, Cambridge, United Kingdom.
Cristiano Michele GirlandoDivision of Radiology, IEO European Institute of Oncology IRCCS, Milan, Italy.
Francesca GrassiDivision of Radiology, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.
Carmelo MessinaU.O.C. Radiodiagnostica, ASST Centro Specialistico Ortopedico Traumatologico Gaetano Pini-CTO, Milan, Italy.
Rebecca MuraDepartment of Medicine and Surgery (DiMeC), University of Parma, Parma, Italy.
Giuseppe PetraliaDepartment of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milano, Italy.
Arnaldo StanzioneDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Federica VernuccioSection of Radiology, Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy.
Fabio ZugniDivision of Radiology, IEO European Institute of Oncology IRCCS, Milan, Italy.
Antonio BarileDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
Nicoletta GandolfoDiagnostic Imaging Department, Villa Scassi Hospital-ASL 3, Genoa, Italy.
Gianpaolo CarrafielloDepartment of Radiology and Interventional Radiology, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano, Milan, Italy.
Serena CarrieroDepartment of Radiology and Interventional Radiology, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reporting and Data Systems (RADS) aim at standardizing imaging acquisition, interpretation, lexicon, and reporting standards in specific patient populations, facilitating the communication between radiologists and clinicians. While the adoption of RADS has been supported by several studies and guidelines, with some of them endorsed by the American College of Radiology, the clinical adoption of the RADS algorithm remains heterogeneous among general practice radiologists worldwide, being lower in non-academic and young radiologists. This article aims to provide an updated review, aimed at young and general radiologists, of the RADS alphabet, discussing the main applications and imaging criteria with tips for their correct use in clinical practice. The following RADS will be discussed: BI-RADS, Bone-RADS, C-RADS, CAD-RADS, LI-RADS, Lung-RADS, MET-RADS-P, MY-RADS, NI-RADS, Node-RADS, O-RADS, ONCO-RADS, PI-RADS, ST-RADS, TI-RADS, and VI-RADS. CRITICAL RELEVANCE STATEMENT: A comprehensive guide aimed at young and general radiologists featuring all of the major RADS with the objective to foster their implementation in clinical practice, which could be beneficial in a further standardization of the medical reports and in the communication between radiologists and clinicians. KEY POINTS: RADS are outlined to enhance communication efficacy between radiologists and clinicians. Updated overview of RADS frameworks, detailing applications, imaging criteria, and advancements. RADS' implementation remains a challenge, but can be addressed.

Indexed as

GuidelinesRADSStructured reportingTips and tricksYoung radiologists

Identifiers

PMID41526802
PMCPMC12796044

What OpenQuestion holds

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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.