# The diagnostic and prognostic value of magnetic resonance imaging and computed tomography parameters in non-small cell lung cancer

**Authors:** Lingna Bian, Jian Wang, Zhiliang Zhang, Yunyi Zhang

PMC · DOI: 10.12669/pjms.41.6.12071 · Pakistan Journal of Medical Sciences · 2025-06-01

## TL;DR

This study shows that MRI and CT scans can help diagnose and predict outcomes for non-small cell lung cancer patients.

## Contribution

The study demonstrates the diagnostic and prognostic value of MRI and CT parameters in NSCLC patients.

## Key findings

- MRI and CT parameters significantly differ between NSCLC and benign lung disease patients.
- These imaging parameters correlate with disease staging, lymph node metastasis, and prognosis in NSCLC.
- MRI and CT can be used to assess NSCLC disease and predict patient outcomes.

## Abstract

To explore the diagnostic and prognostic value of magnetic resonance imaging (MRI) and computed tomography (CT) parameters in patients with non-small cell lung cancer (NSCLC).

This retrospective analysis of the collected data included a cohort of 108 NSCLC patients treated in Tongde Hospital of Zhejiang Province from January 2020 to March 2022, matched in a 1:1 ratio with a cohort of 108 patients with benign lung diseases. All patients underwent MRI and CT examinations, and the MRI and CT parameters were compared between the groups, as well as between patients with different pathological features and therapeutic effects.

The MRI and CT parameters were significantly different between the patients with NSCLC and benign lesions and those with different pathological features and prognoses (P<0.05). There was a considerable correlation between MRI and CT parameters and the disease staging, lymph node metastasis (LNM), pathological type, differentiation degree, and prognosis of NSCLC (P<0.05).

MRI and CT parameters have certain diagnostic and prognostic value in NSCLC and can be used to assess the disease and prognosis of this group of patients.

## Linked entities

- **Diseases:** non-small cell lung cancer (MONDO:0005233)

## Full-text entities

- **Diseases:** NSCLC (MESH:D002289), benign lesions (MESH:D001932), benign lung diseases (MESH:D008171), LNM (MESH:D008207)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

21 references — full list in the complete paper: https://tomesphere.com/paper/PMC12223737/full.md

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Source: https://tomesphere.com/paper/PMC12223737