Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT04299542 |
Other study ID # |
VIR-19-11 |
Secondary ID |
|
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
May 4, 2020 |
Est. completion date |
November 22, 2021 |
Study information
Verified date |
March 2022 |
Source |
Chinese University of Hong Kong |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
Image-guided percutaneous lung biopsy is an essential procedure in lung cancer management,
where it is integral to confirming the diagnosis and determining tumour histology. An ideal
percutaneous lung biopsy also needs to have a short procedure time with accurate needle
placement to minimize the inherent risk of the procedure.
Since the 1970s, conventional Multi-detector CT (MDCT) has been the modality of choice in
percutaneous lung biopsy. Recent research has proposed CT fluoroscopy and cone-beam CT (CBCT)
as alternative methods.
Virtual guidance has been developed to improve target visibility and access for these complex
cases. More specifically, it plans a potential computed 3D needle path before the procedure,
using the CBCT images. This 3D path can be transposed onto real time fluoroscopic images to
guide the biopsy, thus potentially improves patients' safety due to more accurate needle
placement.
Description:
Image-guided percutaneous lung biopsy is an essential procedure in lung cancer management,
where it is integral to confirming the diagnosis and determining tumour histology. In this
era of personalized medicine where knowledge of specific cellular pathways and molecular
characterization relies on obtaining optimal tissue sampling, the critical question is how to
obtain a high-quality biopsy tissue sample that could be processed for various pathological
assessment from a single, minimally invasive percutaneous image-guided approach.
An ideal percutaneous lung biopsy also needs to have a short procedure time with accurate
needle placement to minimize the inherent risk of the procedure, including the stochastic
effect of radiation, and injuries to structures resulting in pneumothorax, pulmonary
hemorrhage, and air embolism, which could all be potentially life threatening. Previous
studies have also shown that post-biopsy haemorrhage or pneumothorax requiring chest tubes
insertion had worse outcome, increased length of hospital stays, and respiratory failure.
Since the 1970s, conventional Multi-detector CT (MDCT) has been the modality of choice in
percutaneous lung biopsy, which requires repeated scanning of the target lesion during the
procedure and the interventional radiologist entering and leaving the CT suite after each
needle adjustment. Recent research has proposed CT fluoroscopy and cone-beam CT (CBCT) as
alternative methods.
Virtual guidance has been developed to improve target visibility and access for these complex
cases. This involves image registration where the real-time imaging dataset is matched to a
reference dataset, where the position of a device is displayed on the current imaging dataset
in real time. Syngo iGuideTM is a novel navigational software which has the potential for
accurate needle guidance in percutaneous biopsy. More specifically, it plans a potential
computed 3D needle path before the procedure, using the CBCT images. An integrated laser
crosshair is also projected onto the patient's skin to indicate the entry point and angle of
the needle at no additional radiation dose to the patient and staff. This 3D path can be
transposed onto real time fluoroscopic images to guide the biopsy, thus potentially improves
patients' safety due to more accurate needle placement.