Basal Cell Carcinoma (BCC) Clinical Trial
Official title:
Intraoperative Margin Assessment During Mohs Surgery
The research team will develop an intraoperative handheld device for assessing surgical margins during Mohs surgery. The device technology is based on multimodal optical spectroscopy (MMS), combining three optical spectroscopy techniques into one device. The researchers will first acquire proof of concept MMS measurements within the Mohs surgery suite immediately after surgical excision and prior to histological processing. MMS measurements will be acquired directly on the patient from the NMSC excision site. The final outcome of this study will result in the sensitivity and specificity of MMS compared to histopathology during Mohs surgery. These results will allow for the estimation of the potential benefit of an intraoperative margin assessment technique.
Acquire intraoperative MMS measurements in vivo. After assessing this approach on excised
tissues, MMS measurements will be aquired directly on the patient from the NMSC excision
site. MMS data will be acquired on patients being treated for NMSC at the Austin Dermatologic
Surgery Center, the surgical site for the dermatology practice of Seton/University of Texas
Physicians group. Similar to the measurements on freshly excised tissues, MMS data will be
acquired in a grid pattern on the excision site. The site will be blotted with gauze to
remove residual blood prior to the measurement, and continuously blotted as needed until all
measurements have been taken. The handheld probe of the MMS enables assessment of both the
wound periphery and deeper layers of tissue to determine if any tumor is remaining. For this
initial pilot study, we plan to take measurements on 10 patients (5 BCC, 5 SCC), along with
corresponding normal tissue measurements.
Retrospective analysis of MMS sensitivity and specificity. The MMS technique is an
information rich modality providing both morphological and functional parameters of the
interrogated tissue that could be correlated to known tumor pathology. However, this
extracted information will require development of sophisticated spectral analysis models
which would be beyond the scope of the current study. Therefore, for the purpose of this
study, standard statistical techniques will be used to determine the classification power of
MMS for tumor margin detection. While this approach does not fully elucidate the underlying
pathology responsible for the classification, these types of models have been shown to
perform at or better than those based on a morphological approach. This approach has been
previously employed to classify skin cancer with high diagnostic accuracy. The final outcome
of this study will result in the sensitivity and specificity of MMS compared to
histopathology during Mohs surgery. These results will allow for the estimation of the
potential benefit of an intraoperative margin assessment technique. This type of
retrospective study will provide a proof of concept that would warrant further development
and prospective studies of the MMS approach.
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