Pulmonary Ventilation/Perfusion Imaging for the Prediction of Postoperative Residual Pulmonary Function
NCT03357094 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 50
Last updated 2017-11-29
Summary
Lung cancer is one of the most common malignant tumors in the world and with the highest incidence in China. Surgery is the most effective therapeutic method for primary lung cancer. Accurate prediction of residual postoperative pulmonary function in patients, especially those with borderline pulmonary function, is crucial for proper qualification for surgery. According to the 3rd American College of Chest Physicians(ACCP) evidence-based clinical practice guideline (2013), both predictive postoperative (ppo) FEV1.0% and ppoDLCO% are greater than 60% predicted are required as a first standard of lobectomy for patients with primary lung cancer. And, according to the British Thoracic Society (BTS) guideline, patients with ppoFEV1.0% and ppoDLco% less than 40% have high a risk for surgery. Pulmonary ventilation / perfusion SPECT/CT has recently become available for prediction of lung function, and it can be used to forecast pulmonary function in consideration of the pulmonary circulation as well as effective residual lung function. Traditionally, prediction of postoperative lung function was based on planar method in anterior and posterior projections of lung scintigraphy. However, SPECT/CT enables measurement of ventilation / perfusion uptake in each lobe of the lungs in a three dimensional way, which may avoid underestimating ppoFEV1.0% and provide confidence in suggesting lobectomy or pneumonectomy.
This experiment is intended to explore the use of Q.lung, a volume-based software to semi-quantitatively calculate pulmonary ventilation/perfusion functional uptake and volume by SPECT/CT. We hope it can get a more accurate prediction of postoperative residual pulmonary function to provide better management for clinical surgery.
Conditions
- Lung Neoplasms
Sponsors & Collaborators
-
The First Affiliated Hospital of Zhengzhou University
collaborator OTHER -
West China Hospital
collaborator OTHER -
Hebei Medical University Fourth Hospital
collaborator OTHER -
Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
collaborator OTHER -
Henan Cancer Hospital
collaborator OTHER_GOV -
Zhejiang Tumor Hospital
collaborator OTHER -
RenJi Hospital
collaborator OTHER -
Beijing Tongren Hospital
lead OTHER
Eligibility
- Min Age
- 30 Years
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2017-09-30
- Primary Completion
- 2018-11-01
- Completion
- 2019-11-01
Countries
- China
Study Locations
More Related Trials
-
99mTc-H7ND SPECT/CT Imaging in NSCLC
NCT05999214 ·Status: RECRUITING ·Phase: NA
-
A Perioperative Comprehensive Diagnosis and Treatment System for Lung Cancer in the Era of Neoadjuvant Immunotherapy
NCT07119190 ·Status: NOT_YET_RECRUITING
-
Functional Image and Molecular Markers to Predict Treatment Outcomes in Lung Cancer
NCT02117440 ·Status: TERMINATED
-
To Conduct Multi-omics Integrated Studies in Peripheral Blood, Such as Fragment Omics, Metabolomics and Epigenetics, and Establish Non-invasive Dynamic Follow-up Monitoring Programs During Perioperative and Postoperative Periods (Observational Study)
NCT07291921 ·Status: RECRUITING
-
Diagnostic Significance of Single Center, Open and Prospective Evaluation of <Sup>18<Sup>F-FDG PET/CT Dynamic Imaging and Genomic Sequencing in Detecting Metastatic Lesions and Differentiating Multiple Primary Lung Cancer From Intrapulmonary Metastases of Non-small Cell Lung Cancer
NCT03679936 ·Status: UNKNOWN
-
Application of DCE-MRI Based on 4D FreeBreathing in Predicting the Efficacy of Immune and Targeted Therapy in Lung Cancer
NCT06742021 ·Status: RECRUITING ·Phase: NA
-
Clinical Application of MR-PET in Non-small Cell Lung Cancer: Diagnosis, Treatment Outcome, and Prognosis Prediction
NCT03053804 ·Status: UNKNOWN ·Phase: NA
-
Treatment Patterns, Clinical Outcomes, and Healthcare Resource Utilization Associated With Chinese Patients With Advanced Lung Cancer
NCT03505515 ·Status: COMPLETED
-
Benefit of Spectral Information in Patients Suspected for Lung Cancer
NCT06440616 ·Status: RECRUITING ·Phase: NA
-
Feasibility Study of Radiation Therapy With Wide Detector 4DCT Scanning for Primary or Metastatic Lung Cancer
NCT06233396 ·Status: COMPLETED
-
Comparison of SPECT/CT Perfusion and Volumetric CT Volume
NCT06600204 ·Status: COMPLETED
-
Predictive Value of PET/CT for Efficacy of Neoadjuvant Immunotherapy in Non-small Cell Lung Cancer
NCT06895941 ·Status: WITHDRAWN
-
Clinical Significance of Computer Aided Image Analysis in Treatment Response Evaluation of Lung Cancer
NCT03954847 ·Status: UNKNOWN
-
Application of Diffusion Weighted MRI Versus CT in Evaluation of the Effect of Treating Lung Cancer
NCT02320617 ·Status: UNKNOWN ·Phase: NA
-
Characteristics, Treatment Patterns and Outcomes for Patients With Surgically Resected Lung Cancers
NCT06255197 ·Status: RECRUITING
-
Synthetic PET From CT Improves Precision Diagnosis and Treatment of Lung Cancer: a Prospective, Observational, Multicenter Study
NCT07243873 ·Status: RECRUITING
-
A Multi-center Prospective Observational Biomarker Study on EGFRm+ Non-small Cell Lung Cancer Patients With Leptomeningeal Metastasis
NCT02803619 ·Status: UNKNOWN
-
Multimodalitic Imaging in the N-stage of Lung Cancer
NCT05840094 ·Status: UNKNOWN ·Phase: NA
-
CT Perfusion Scans for Assessment of Lung Cancer Before and After Chemo +/- Radiotherapy
NCT00188214 ·Status: COMPLETED ·Phase: PHASE2
-
68Ga-grazytracer PET/CT for Early Assessment of Response to Neoadjuvant Immunotherapy in Resectable NSCLC
NCT06756217 ·Status: RECRUITING
-
Survival Outcomes of Lung Cancer
NCT03647098 ·Status: RECRUITING
-
Deep Learning Signature for Predicting Occult Nodal Metastasis of Clinical N0 Lung Cancer
NCT05425134 ·Status: UNKNOWN
-
Exploring the Frontiers of Neoadjuvant Therapy for Lung Cancer: a Prospective Observational Real-world Study
NCT06216782 ·Status: RECRUITING
-
Prospective rAndomized sTudy efficaCy tHree-dimensional rEconstructions Segmentectomy
NCT05716815 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Exploring the Diagnostic Performance of Dynamic Chest Radiology in Chronic Obstructive Pulmonary Disease
NCT06653413 ·Status: ENROLLING_BY_INVITATION