Intraoperative Detection of Residual BCC by Fast Raman

NCT ID: NCT03482622

Last Updated: 2018-03-29

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

600 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-04-01

Study Completion Date

2023-03-31

Brief Summary

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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

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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.

Conditions

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Carcinoma, Basal Cell Intraoperative BCC Detection by Fast Raman Device

Study Design

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Observational Model Type

OTHER

Study Time Perspective

RETROSPECTIVE

Study Groups

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Patients undergoing Mohs surgery

Skin samples excised during Mohs surgery will be measured by the Fast Raman device. The Fast Raman measurements will be compared to gold standard histopathology to determine measurement accuracy.

Fast Raman

Intervention Type DIAGNOSTIC_TEST

Fast Raman uses Raman spectroscopy to measure chemical profiles of tissue and provide a diagnostic map identifying BCC within 30 minutes.

Interventions

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Fast Raman

Fast Raman uses Raman spectroscopy to measure chemical profiles of tissue and provide a diagnostic map identifying BCC within 30 minutes.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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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.
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Nottingham University Hospitals NHS Trust

OTHER

Sponsor Role collaborator

Circle Nottingham NHS Treatment Centre

UNKNOWN

Sponsor Role collaborator

University of Nottingham

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Ioan Notingher, PhD

Role: PRINCIPAL_INVESTIGATOR

University of Nottingham

Central Contacts

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Ioan Notingher, PhD

Role: CONTACT

0115 951 5172

References

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Boitor RA, Varma S, Sharma A, Odedra S, Elsheikh S, Eldib K, Patel A, Koloydenko A, Gran S, De Winne K, Koljenovic S, Williams HC, Notingher I. Diagnostic accuracy of autofluorescence-Raman microspectroscopy for surgical margin assessment during Mohs micrographic surgery of basal cell carcinoma. Br J Dermatol. 2024 Aug 14;191(3):428-436. doi: 10.1093/bjd/ljae196.

Reference Type DERIVED
PMID: 38736216 (View on PubMed)

Other Identifiers

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18003

Identifier Type: -

Identifier Source: org_study_id

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