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Related Experiment Video

Updated: May 2, 2026

Multidimensional Coculture System to Model Lung Squamous Carcinoma Progression
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Multidimensional Coculture System to Model Lung Squamous Carcinoma Progression

Published on: March 17, 2020

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Symptom Network Evolution and Longitudinal Interrelationships in Early-Stage Lung Cancer Patients Postoperatively.

Yali Liu1, Jianle Kang1, Meirong Bai1

  • 1Department of Thoracic Surgery, Zhongshan Hospital Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, People's Republic of China.

International Journal of General Medicine
|May 1, 2026
PubMed
Summary

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Diagnosing Pulmonary EmbolismDiagnosing pulmonary embolism (PE) involves clinical assessment and advanced imaging tests. The preferred diagnostic tool is the spiral (helical) CT scan or CT angiography (CTA), which uses intravenous contrast media to visualize the pulmonary vasculature and identify emboli.A ventilation-perfusion (V/Q) scan is an alternative for patients unable to receive contrast media. This scan includes both perfusion and ventilation scanning. Perfusion scanning involves...
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Postoperative symptoms in lung cancer patients shift over time, with fatigue, pain, and insomnia being key issues. Targeted symptom management during recovery can improve patient outcomes.

Area of Science:

  • Oncology
  • Medical Informatics
  • Psychology

Background:

  • Lung cancer surgery can lead to significant postoperative symptoms impacting recovery.
  • Understanding the dynamic interplay of these symptoms is crucial for effective patient management.

Purpose of the Study:

  • To analyze the evolution and predictive relationships of postoperative symptoms in early-stage lung cancer patients.
  • To construct dynamic symptom networks using cross-lagged panel networks (CLPN).

Main Methods:

  • Prospective study using the Postoperative Symptom Scale for Lung Cancer at four time-points (postoperative days 1, 3, 30, 90).
  • Construction of partial-correlation networks and CLPN using R Language.
  • Identification of key nodes and exploration of predictive/reciprocal effects among symptoms.
Keywords:
cross-lagged network analysislung cancer patientspartial correlation analysispostoperative symptoms

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Main Results:

  • Symptom centrality shifted over time: fatigue/dizziness (day 1), pain/fatigue (day 3), insomnia/cough (day 30), insomnia (day 90).
  • Fatigue predicted insomnia; pain predicted shortness of breath in the CLPN analysis.
  • A dynamic postoperative symptom network was observed, with shifting core symptoms.

Conclusions:

  • Postoperative symptoms in lung cancer patients form a dynamic network with evolving core symptoms.
  • Time-specific symptom management targeting dominant symptoms at each recovery phase is recommended for precision care.