Challenge

  • Proper diagnosis of cancer requires expert pathologist review of the patient’s suspected cancerous tumor biopsy slide.
  • But this task can be done only by MD pathologist who are very less in number and available mostly in bigger cities.
  • This severe shortage of pathologists creates a major bottleneck in the healthcare system and makes cancer diagnosis very inaccessible to the whole population.
  • Hence patients from smaller towns and villages first struggle to find a pathologist and then finally travel to bigger cities, and then again wait a long time for his report.
  • 50-70% of cancer cases are detected only at an advanced stage.
  • This long delay in diagnosis first causes patient’s cancer to progress unchecked causing avoidable complications and his treatment to start much later and hence his survival chances reduces significantly.

Solution

  • There is an immediate need to make cancer diagnosis accessible to the whole population.
  • Digital Pathology technology makes this possible by allowing pathology slides of patient tumor biopsies to be viewed and reported remotely by expert pathologists.
  • Senior pathologists in bigger cities can instantly give their expert diagnosis.
  • This way correct cancer diagnosis can be greatly speeded up and will save lot of patient lives.

Digital Pathology Framework

Scanners of appropriate capacity need to be placed in:
  • District Hospitals.
  • General Hospitals.
  • Sub-District Hospitals &
  • Rural Hospitals.
Local or Cloud Storage Server need to be placed at a command center.
cccrlabs
cccrlabs

Digital Pathology Project Design

  • District Hospitals supported by a Command Centers in Cities.

Items to procure :

  • Scanners of suitable capacity and Workstations for District Hospitals.
  • Local Server with Data Storage in Command Centers or Cloud Server Subscription.

Scanner & Storage Selection

  • For up to 75 slides per day, OS-15: a 15-slide scanner is suitable.
  • From 76 to 225 slides daily, OS-120: a 120-slide scanner with automatic slide loader is suitable.
  • From 226 slides upwards daily, OS-Ultra 80/160/320/480, a high-speed scanner with different auto-loaders are suitable.
  • A high magnification 40x digital image of 15x15 mm tissue is of average 900 MB size.
  • A low magnification 20X digital image of 15x15 mm tissue is of average 300 MB size.
  • Local or Cloud Server Storage needs to be procured calculating the required storage as per total slide load handled.
  • Duration of digital storage needs to be decided as per requirement.