UNSPSC 85877329: Computerized tomography (ct scan) of kidney transplant using low osmolar contrast

This classification denotes the group of activities that yields a imaging intervention or procedure to computerized tomography (ct scan) of kidney transplant using low osmolar contrast. This intervention or procedure is listed in the World Health Organization's International Statistical Classification of Diseases and Related Health Problems or ICD-10 as code BT291ZZ

UNSPSC 85877329 Computerized tomography (ct scan) of kidney transplant using low osmolar contrast is a Commodity code that nominally describes a specific diagnostic imaging procedure; however, the recent state and local opportunities posted under this code show minimal alignment with that narrow scope. The only recent solicitation directly relevant to diagnostic imaging is San Mateo Medical Center's RFP for a Diagnostic Imaging Picture Archiving and Communication System (PACS) posted October 7, 2026 with a response deadline of October 21, 2026, which addresses the infrastructure and software for storing, managing, and retrieving medical images across radiology, cardiology, and dental services—not the procedure itself. The other two opportunities (Birdville Independent School District's special education contracted services RFP and Santa Clara County Health System's temporary health professional staffing RFQ, both due October 21, 2026 and October 7, 2026 respectively) are unrelated to kidney transplant imaging or CT scanning and appear to be miscoded under this commodity.

The geographic spread of relevant activity is limited to California (San Mateo County and Santa Clara County). Given the sparse and misaligned recent opportunity record, this code shows little actionable activity for vendors focused on kidney transplant imaging services or related clinical supplies. Firms pursuing work in diagnostic imaging infrastructure, PACS systems, or healthcare IT integration should monitor San Mateo County and similar public health systems in California, but should verify direct coding alignment in RFPs rather than rely on this commodity designation. The code does not currently surface a meaningful stream of state and local imaging-services procurement.