Commentator Discussion: Potential advantage of magnetic resonance imaging in detecting thoracic wall infiltration in pleural mesothelioma. A retrospective single-center analysis

Our plain-English summary of Commentator Discussion: Potential advantage of magnetic resonance imaging in detecting thoracic wall infiltration in pleural mesothelioma. A retrospective single-center analysis (JTCVS Open, 2025).

The study

• Journal: JTCVS Open
• Published: 2025;23:326-327
• Read it: PubMed · Publisher · Free full text

In plain English

This item is not the research article itself. It is a transcript of the discussion after a presentation at the 104th Annual Meeting of the American Association for Thoracic Surgery. The presented study, a retrospective single-center analysis of whether magnetic resonance imaging (MRI) helps detect tumor growth into the chest wall in pleural mesothelioma, appears separately in the journal and was not provided. The commentator asked how often MRI findings changed surgery. The presenter, from the University Hospital Zurich, said this had gone both ways, including a suspected infiltration on imaging that was not confirmed. The presenter said the team accepts 2 to 3 chest wall invasion lesions and still performs the whole operation, but stops and performs a partial pleurectomy if there are more than 3. In the cohort of 26 patients, 5 had only a partial pleurectomy: 3 because of more chest wall invasion locations and 2 because of higher tumor load. For the diaphragm and pericardium, the team uses frozen sections taken during surgery. The presenter had not specifically examined links with patient-reported pain. Asbestos exposure was not discussed.

We wrote this plain-English summary from the full article with the help of AI, and a second AI model checked each sentence against the article. It is not the authors' wording; the abstract and the article are their own account.

What the study did and found

• Design: Transcript of a question-and-answer discussion following a conference presentation of a retrospective single-center analysis (the study itself is a separate article)
• Who was studied: A cohort of 26 patients with pleural mesothelioma at a single center (presenter's affiliation: Department of Thoracic Surgery, University Hospital Zurich, Switzerland); no dates or further details given
• Main results:
  • According to the presenter, MRI findings had changed management in both directions, including a suspected infiltration on imaging that was not confirmed in the end
  • The presenter described the team's practice: with 2 to 3 chest wall invasion lesions they perform the whole surgery; with more than 3 they stop and perform a partial pleurectomy
  • Of the 26 patients in the cohort, 5 underwent only a partial pleurectomy
  • Of those 5 patients, 3 had partial pleurectomy because of more chest wall invasion locations and 2 because of higher tumor load
  • For the diaphragm and pericardium, the team performs intraoperative fresh-frozen sections to confirm any invasion suspected on preoperative imaging
• Limitations the authors state:
  • The presenter said they had not specifically examined whether MRI-detected invasion correlated with patient-reported pain; the remarks on pain were based on experience

Topics

Medical terms in this study, explained in our Lexicon: Pleural Mesothelioma.

Related studies

• Potential advantage of magnetic resonance imaging in detecting thoracic wall infiltration in pleural mesothelioma: A retrospective single-center analysis — I. Barreto, S. Franckenberg, et al. (2025)
• New applications of magnetic resonance imaging for thoracic oncology — Y. Ohno (2014)
• Diffusion magnetic resonance imaging of chest tumors — A.A. Razek (2012)
• Asbestos-related pleural disease: value of dedicated magnetic resonance imaging techniques — M.A. Weber, M. Bock, et al. (2004)
• Early Contrast Enhancement: A novel magnetic resonance imaging biomarker of pleural malignancy — S. Tsim, C.A. Humphreys, et al. (2018)
• Applications of Magnetic Resonance Imaging of the Thorax in Pleural Diseases: A State-of-the-Art Review — F.M. Pessôa, A.S. de Melo, et al. (2016)

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