Evaluating Radiomics, Deep Learning, and Hybrid Models for Forecasting Hidden Pleural Spread in Non-Small Cell Lung Cancer Patients: A Retrospective Multicenter Analysis - Scorecard - MDSpire

Evaluating Radiomics, Deep Learning, and Hybrid Models for Forecasting Hidden Pleural Spread in Non-Small Cell Lung Cancer Patients: A Retrospective Multicenter Analysis

  • By

  • Tao Bao

  • Xiaoguang Li

  • Yuanlin Deng

  • Liang Chen

  • Weijie Sun

  • Mingjian Ge

  • Jigang Dai

  • Xiaolong Zhao

  • Xu Chen

  • Liang Zhang

  • Lei Bao

  • Wei Guo

  • October 29, 2025

  • 0 min

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Clinical Scorecard: Evaluating Radiomics, Deep Learning, and Hybrid Models for Forecasting Hidden Pleural Spread in Non-Small Cell Lung Cancer Patients: A Retrospective Multicenter Analysis

At a Glance

CategoryDetail
Condition
Key Mechanisms
Target PopulationHigh-risk NSCLC patients
Care Setting

Key Highlights

  • AUC_context

Guideline-Based Recommendations

Diagnosis

  • I
  • n
  • c
  • l
  • u
  • d
  • e
  • s
  • p
  • e
  • c
  • i
  • f
  • i
  • c
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  • a
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  • i
  • n
  • g
  • t
  • e
  • c
  • h
  • n
  • i
  • q
  • u
  • e
  • s
  • o
  • r
  • c
  • r
  • i
  • t
  • e
  • r
  • i
  • a
  • f
  • o
  • r
  • C
  • T
  • i
  • m
  • a
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  • n
  • g
  • f
  • e
  • a
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  • .

Management

    Monitoring & Follow-up

      Risks

        Patient & Prescribing Data

        Clinical Best Practices

        • limitations

        Related Resources & Content

        Original Source(s)

        Evaluating Radiomics, Deep Learning, and Hybrid Models for Forecasting Hidden Pleural Spread in Non-Small Cell Lung Cancer Patients: A Retrospective Multicenter Analysis

        • by Tao Bao, Xiaoguang Li, Yuanlin Deng, Liang Chen, Weijie Sun, Mingjian Ge, Jigang Dai, Xiaolong Zhao, Xu Chen, Liang Zhang, Lei Bao, Wei Guo

        • October 29, 2025

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