Patients with thyroid nodules are currently investigated with ultrasound with or without biopsy. Despite these investigations, a subset of patients remain "indeterminate" whereby a cancer can neither be diagnosed nor ruled out - these patients will usually be recommended to undergo diagnostic surgery. This study aims to assess a new technique called diffuse reflectance spectroscopy to determine if this can differentiate between benign and cancerous nodules, particularly in these indeterminate cases.
Diffuse reflectance spectroscopy is an imaging technique which is conducted via a probe that is placed into direct contact with the tissue. This probe emits light, and simultaneously measures the light reflected back - differences in this reflected light can provide valuable information which may be able to differentiate cancerous from non-cancerous tissue. Several previous studies have proven this technique useful in other tissues, such as the stomach and oesophagus - this study therefore aims to assess its utility for thyroid nodules The spectroscopic probe is used on the tissue that has already been taken from the body as part of the operation, not on the inside of the body itself. The tissue samples being removed will routinely be sent for microscopic analysis to inform the surgeon about the type of tissues present in the area of the body being operated on. The research team will be in the operating theatre and use the optical probe on the tissue samples.The probe will only be used on the tissue after it has been removed by the surgeon; therefore, the probe will not impact on the operation. The overall aim of the study is to determine if this probe is able to differentiate which nodules are benign and which are cancerous.
Study Type
OBSERVATIONAL
Enrollment
50
Spectral data collection with diffuse reflectance spectroscopy
Hammersmith Hospital
London, United Kingdom
Cancer diagnosis
To determine if DRS can differentiate cancerous nodules from benign from spectral data
Time frame: Single time point only (intra-operative data collection)
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