Evidence map›Paper›PMID 39825171›Full record

ReviewEuropean radiology2025

Implementation of the 9th TNM for lung cancer: practical insights for radiologists.

Gianluca Argentieri, Clara Valsecchi, Francesco Petrella, Lisa Jungblut, Thomas Frauenfelder, Filippo Del Grande, Stefania Rizzo

Abstract readReview
In one paragraph

Review in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

7 authors.

Gianluca ArgentieriClinic of Radiology, Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), Via Tesserete 46, 6900, Lugano, Switzerland.
Clara ValsecchiClinic of Radiology, Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), Via Tesserete 46, 6900, Lugano, Switzerland.
Francesco PetrellaDepartment of Thoracic Surgery, Fondazione IRCCS San Gerardo dei Tintori, 20900, Monza, Italy.
Lisa JungblutInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Thomas FrauenfelderInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
Filippo Del GrandeClinic of Radiology, Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), Via Tesserete 46, 6900, Lugano, Switzerland.
Stefania RizzoClinic of Radiology, Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), Via Tesserete 46, 6900, Lugano, Switzerland. stefania.rizzo@eoc.ch.ORCID http://orcid.org/0000-0002-5151-0866

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the most common and deadly cancer worldwide. The 9th edition of the tumor node meta (TNM) classification system, effective from January 1, 2025, introduces significant updates. Notably, the N2 category is newly divided into N2a (single-station involvement) and N2b (multiple-station involvement), which reflects distinct prognostic implications. Additionally, the M1c category is now subcategorized into M1c1 (multiple metastases in a single organ system) and M1c2 (metastases in multiple organ systems), affecting stage classification. This reclassification allows for potential downstaging, which could expand treatment options for affected patients. Accurate imaging remains crucial for the classification of anatomical stages. As the TNM system evolves, enhanced imaging precision will play a key role in implementing these updates and ultimately improve patient outcomes. KEY POINTS: Question The 9th TNM for lung cancer introduces changes in the N2 and M1c descriptors, to better align with new therapeutic options and outcome studies. Findings Proper knowledge of the key changes of the 9th TNM can help radiologists offer clinicians a meaningful report. Clinical relevance Radiologists should incorporate the 9th TNM classification into their reports and discussions in multidisciplinary meetings, thus ensuring a common language across disciplines to enable clearer communication with other specialists, supporting more precise and cohesive decision-making in patient care.

Indexed as

Lung NeoplasmsNeoplasm StagingHumansPrognosisTomography, X-Ray ComputedLung neoplasmNeoplasm stagingPrognosisRadiology

Identifiers

PMID39825171
PMCPMC12165876

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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.