Clinical trial NCT03482622: Intraoperative Detection of Residual BCC by Fast Raman
Official title: Accurate Assessment of Tumour Clearance During Surgical Treatment of Basal Cell Carcinoma by Fast Raman Spectroscopy
Study type: OBSERVATIONAL
Overall status: UNKNOWN
Conditions: Carcinoma, Basal Cell
Intraoperative BCC Detection by Fast Raman Device
Keywords: Raman spectroscopy
Lead sponsor: University of Nottingham
Sponsor class: OTHER
Collaborators: name: Nottingham University Hospitals NHS Trust
name: Circle Nottingham NHS Treatment Centre
First posted: 2018-03-29
Enrollment: 600
Sex: ALL
Standard ages: CHILD
ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: OTHER
Time perspective: RETROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: All consenting patients undergoing Mohs micrographic surgery of BCC.

Brief summary: The main objective of this research is to develop a new scanning technology called the Fast Raman device, to accurately check the skin removed by the surgeon and detect any residual cancer cells; if found, additional skin can then be removed by surgeons on the same day. The device will be tested first for patients undergoing Mohs micrographic surgery, then be extended to wide-local excisions of basal cell carcinoma (BCC). This study will determine the validity (sensitivity/specificity) and reliability (inter- and intra-user variability) of the Fast Raman device for checking the completeness of tumour removal during Mohs micrographic surgery of BCC.

Detailed description: Raman spectroscopy (RS) is an established analytical technique and has been extensively used in medicine to study individual cells and complex tissues, including skin and skin cancers. This technique is based on inelastic scattering of laser light following its interaction with vibrating molecules of biological samples; therefore, a Raman spectrum represents a "chemical fingerprint" of the sample. Recently, the investigators demonstrated that Raman micro-spectroscopy is able to discriminate between healthy skin and BCC.

With National Institute for Health Research (NIHR) i4i funding (2007-2013), the investigators developed a new technology ("Fast Raman") that can detect BCC regions in skin layers excised during Mohs surgery \[13\]. A first laboratory prototype based on this technology was able to analyze specimens in 30-60 minutes. In a follow-up i4i project (2014-2016), the investigators have built a fully automated "Fast Raman" device that can be used by non-specialist users and meets the safety requirements to be used in the clinic. The investigators now intend to test this device in real clinical practice and to compare the diagnosis generated by the device with the standard pathology diagnosis.

If the performance of the device achieves the proposed target (\~95% sensitivity and specificity, inter-and intra-user reliability higher than typical histopathology, assessment time shorter than frozen section histopathology), it will provide important benefit to BCC patients and health care providers. Faster tissue assessment could speed up Mohs surgery (around 90 mins rather than 3 hours), which is more comfortable for patients. By reducing the costly histopathology procedures needed to process and diagnose skin samples, the Fast Raman device will reduce health care costs, allowing Mohs surgery to become more widely available, and reducing the postcode lottery that currently exists. As the Fast Raman device is designed to be used by non-specialist user, it can be used during any type of BCC surgery, including standard wide local excisions of BCC (\>80,000 procedures/year in UK), to provide on the spot an answer on whether the entire tumour has been excised or not.

Eligibility criteria: Inclusion Criteria:

* Patients undergoing Mohs micrographic surgery of BCC.
* Able to give informed consent.
* Any age.

Exclusion Criteria:

* Patients where there is any doubt regarding the diagnosis from pathologist as ascertained by previous diagnostic biopsy.

Primary outcomes:
measure: Validity
timeFrame: Immediate
Secondary outcomes:
measure: Reliability
timeFrame: Immediate
measure: Measurement Time
timeFrame: Immediate
Other outcomes:
Locations:
Study officials:
affiliation: University of Nottingham
name: Ioan Notingher, PhD
role: PRINCIPAL_INVESTIGATOR
References: