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Active NON-SBIR/STTR RPGS NIH (US)

Early Detection and Diagnosis of Lung Cancer with Endomicroscopy

$5.97M USD

Funder NATIONAL CANCER INSTITUTE
Recipient Organization Massachusetts General Hospital
Country United States
Start Date Jan 01, 2021
End Date Dec 31, 2026
Duration 2,190 days
Number of Grantees 2
Roles Co-Investigator; Principal Investigator
Data Source NIH (US)
Grant ID 10542357
Grant Description

PROJECT SUMMARY Early diagnosis of lung cancer is critical to patient survival. Unfortunately the vast majority of cases are detected once symptoms arise and the cancer has spread offering patients little hope for cure (average 5-year survival rate < 15%). The U.S. Preventive Services Task Force recommends individuals at high risk of

developing lung cancer undergo yearly screening with low dose computed tomography (LDCT). Screening is highly sensitive at detecting lung nodules and has resulted in a reduction in mortality of these patients, however only 5% of nodules detected are likely to be cancer. Diagnosis of lung cancer must be made on the

microscopic level which is traditionally done by obtaining tissue specimens for subsequent histopathology examination. Methods for biopsy generally fall under two categories; high-risk surgical and transthoracic procedures that provide a higher diagnostic yield, and low-risk bronchoscopy based procedures that generally

have a lower yield. Given that the vast majority of nodules detected by LDCT screening are benign it is critical that the high-risk procedures for diagnosis are avoided. The low diagnostic yields of bronchoscopy based biopsy procedures can be attributed to insufficiently large, inappropriately located, or non-diagnostic tissue

sampling. Therefore there is a critical need to dramatically increase the diagnostic yield of low-risk bronchial biopsy approaches. In our laboratory we have developed novel optical coherence tomography (OCT) imaging approaches to provide high-resolution images of tissue microstructure. We have additionally developed and

disseminated OCT interpretation criteria for the diagnosis lung cancer. In this proposal we aim to further develop our endobronchial OCT imaging catheters to provide images with superior resolution and contrast with the goal of microscopically guiding biopsy site selection to increase tumor yield (Aim 2), and to use our

endomicroscopy images and previously developed image interpretation criteria to provide a preliminary diagnosis of the lesion within the procedure room (Aim 3). The intra-procedural diagnostic endomicroscopy images could be useful complementary information provided to pathologists in addition to the tiny physical

biopsy specimens for diagnosis, or to enable immediate diagnosis and treatment of small lesions without requiring a second procedure.

All Grantees

Massachusetts General Hospital

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