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Additional file 2 of Understanding the patient journey to diagnosis of lung cancer

NIAID Data Ecosystem2026-03-12 收录

数据链接：

https://figshare.com/articles/dataset/Additional_file_2_of_Understanding_the_patient_journey_to_diagnosis_of_lung_cancer/14423358 数据链接链接失效反馈

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资源简介：

Additional file 2: Appendix 2. Biopsy Complications by Lung Cancer and SPN Cohorts.

应用场景：

创建时间：

2021-04-14

肺癌诊断

机器学习

Table S2. Clinical information of NSCLC patients from TCIA database. (XLSX 15 kb)

DataCite Commons2024-02-15 更新100

Ahmed_EBC_SPUTUM_NMR_QTOF_Frontiers

肺癌诊断

生物标志物

This is the raw data for EBC and Sputum obtained thrugh NMR and LC-QTOF not published in table 3 of the manuscript. From early stage non small cell lung cancer patients before and after surgical resec

DataCite Commons2022-04-29 更新70

Postoperative computed tomography of insufflated lung specimens obtained by video-assisted thoracic surgery: detection and margin assessment of pulmonary nodules

医学影像分析

肺癌诊断

Abstract Objective: To investigate the utility of computed tomography (CT) scans to detect and assess the margin status of pulmonary nodules that were insufflated after being resected by video-assiste

DataCite Commons2022-05-31 更新50

Supplementary Material for: Streamlining Lung Cancer Diagnosis: One Procedure for Multi-Site Biopsy Using Shape-Sensing Robotic-Assisted Bronchoscopy.

肺癌诊断

机器人辅助

Introduction: Multiple nodule sampling is a challenging scenario. While CT-guided biopsies are conventional, shape-sensing robotic-assisted bronchoscopy (ssRAB) has been proven to be safe and useful f

DataCite Commons2025-07-02 更新70

Data from: How do organisational characteristics influence teamwork and service delivery in lung cancer diagnostic assessment programmes? A mixed-methods study

肺癌诊断

团队合作

Objectives: Diagnostic assessment programs (DAPs) can reduce wait times for cancer diagnosis but optimal DAP design is unknown. This study explored how organizational characteristics influenced multid

DataONE2017-02-06 更新60

Additional file 2 of Understanding the patient journey to diagnosis of lung cancer

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