Construction and validation of a recurrence prediction model for lung adenocarcinoma after treatment integrating radiomics features and clinical indicators
Ruomin Liao, Yi Zhang, Gang Li · 2025
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Description
Ruomin Liao, Yi Zhang, and Gang Li build a score to predict lung cancer return in this 2025 study. Their patients had lung adenocarcinoma, treated in a standard way, and the team wanted to flag who needs closer watching afterward.
They studied 350 patients, splitting them into a training group and a checking group. From scans taken before treatment, software extracted texture and shape features of each tumor. Combined with stage, smoking history, and a blood marker, two scan features formed a nomogram, a chart that turns inputs into a risk estimate. The chart scored well in both groups, matching observed returns closely. The authors offer it as a practical tool for personal follow-up plans.
Catalog record
| CREATOR | Ruomin Liao, Yi Zhang, Gang Li |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 31 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |