Predicting the risk of limb amputation with 'White Cell Spectrum' accuracy of 87.3%

Jul 22, 2024

An objective indicator for predicting limb amputation in diabetic foot infection patients has been published using Spectcity, a nuclear medical image.

Diabetes patients are prone to wounds on their feet, and when an infection develops in this wound, multidisciplinary treatment is performed by antibiotic treatment, surgical treatment such as drainage and removal of inflammatory tissue, or by perforating blocked blood vessels.

Some severely infected patients even receive treatment to amputate their feet, and if there are clinical indicators that can predict whether they will be amputated, it helps to plan an efficient treatment.

The indicators studied to date have been pointed out as subjective and complex in clinical application.

Therefore, Professor Park Soo-bin of the Department of Nuclear Medicine at Soonchunhyang University Seoul Hospital studied whether the risk of limb amputation in diabetic foot infection patients can be predicted using leukocyte Spectcity.

The patient's blood is collected to separate the white blood cells, and the separated white blood cells are labeled with a trace amount of radioactive medicine and administered back to the patient's body in order to photograph the white blood cells, which are nuclear medical images.

After that, the accumulation of white blood cells in the infected lesion in the body is photographed with Spect City, which is the only test that can image the distribution of white blood cells in the body.

The subjects were patients who visited a diabetic clinic at Soonchunhyang University Seoul Hospital due to suspected diabetic foot infection, and 93 feet of 83 patients who took leukocyte speccity were analyzed retrospectively.

As a result of leukocyte spectrum analysis of diabetic patients, the higher the degree of leukocyte aggregation at the infected site and the higher the number of lesions identified in the image, the higher the risk of limb amputation. The risk of amputation was high even if there was a previous history of amputation of the lower extremities.Combining the information of leukocyte speccity and the history of limb amputation, 87.3% of diabetic foot predicted limb amputation accurately.

Professor Park Soo-bin predicted that "a study that developed objective prognostic indicators that can predict limb amputation in diabetic patients using leukocyte spectral images" and "By photographing leukocyte spectral in diabetic foot infection patients, more active multidisciplinary treatment will increase the therapeutic effect in patients with severe infections, which will greatly help avoid limb amputation and maintain the quality of life.'



Predicting the risk of limb amputation with 'White Cell Spectrum' accuracy of 87.3%
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