Optical-Coherence Tomography for the Non-invasive Diagnosis and Subtyping of Basal Cell Carcinoma

Basal Cell Carcinoma Clinical Trial

— OCT-BCC  

Official title:

Optical-Coherence Tomography for the Non-invasive Diagnosis and Subtyping of Basal Cell Carcinoma

Clinical Trial Details — Status: Active, not recruiting

Administrative data

• NCT number: NCT05041777
• Other study ID #: DERMA_OCT_BCC01
• Status: Active, not recruiting
• Start date: February 15, 2017
• Est. completion date: December 30, 2021

Study information

• Verified date: May 2021
• Source: Maastricht University Medical Center
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

Rationale:

To date, the diagnosis and subtyping of basal cell carcinoma (BCC) is verified with histopathology which requires a biopsy. Because this technique is invasive, new non-invasive strategies have been developed, including Optical Coherence Tomography (OCT). This innovative technique enables microscopically detailed examination of lesions, which is useful for diagnosing and identification of various subtypes of BCC. The diagnostic value of the VIVOSIGHT OCT in daily clinical practice, has not been established to date.

Description:

Objective:

The aim of the study is to investigate the diagnostic value and usability of OCT in the diagnosis and subtyping of clinically suspect BCC.

Study design:

In this prospective observational trial, the VIVOSIGHT OCT device will be used on all patients attending the policlinic Dermatology of the MUMC and will undergo a skin biopsy. Information collected from OCT images will be compared with the clinical diagnosis by the specialist, including dermatoscopy, and the gold standard consisting of the histopathological diagnosis obtained from biopsy.

Study population:

All patients attending the policlinic Dermatology of the MUMC that will undergo a skin biopsy.

Intervention:

In this study, patients will be asked for informed consent to participate in this study before the planned biopsy is performed. The consent includes the undergoing of the imaging and extracting the pathology report from the patient's file. Imaging of the lesion will be performed subsequently, which is non-invasive and requires only several minutes of time. After the imaging, the patient is treated conform regular care: the following biopsy will be send for histopathologic examination by the pathologist, and the patient will hear the outcome of this investigation via his or her own physician. The histopathologic diagnosis and subtype will be obtained from the pathology report to compare with the diagnosis and subtype based on clinical diagnosis and OCT imaging.

Main study parameters/endpoints:

The main study parameters comprise the diagnostic value of OCT imaging for BCC, defined as the sensitivity, specificity, positive- and negative predictive value, compared with the clinical diagnosis and the gold standard of histopathological diagnosis. Secondary outcome is the value of OCT for subtyping BCC. Retrospectively, the necessity of a biopsy to confirm the diagnosis will be evaluated.

Nature and extent of the burden and risks associated with participation, benefit and group relatedness:

This research is conducted during regular patient care. Patients that are planned to have a skin biopsy for histopathological study will be asked to participate and provide informed consent. When a biopsy is planned, the OCT imaging will be performed while the patients are waiting for the biopsy to be prepared, the OCT imaging process is performed by the investigator. The outcome of the planned biopsy will be used as the gold standard for comparison with OCT. The results of this biopsy will be extracted from the pathology report in the electronic patient history file. Possible risks for biopsies are not influenced by the OCT imaging apparatus and include: post-operative bleeding, allergic reactions, wound infection and hematoma formation. With OCT imaging valuable information can be obtained without influencing the regular care procedure. This is benificial because in the future the non-invasive OCT might replace invasive skin biopsies.

Recruitment information / eligibility

• Status: Active, not recruiting
• Enrollment: 963
• Est. completion date: December 30, 2021
• Est. primary completion date: April 30, 2021
• Gender: All
• Age group: 18 Years and older

Eligibility

Inclusion Criteria:

• Adult patients (18 years or older) receiving a skin biopsy of a lesion clinically suspected for a non-melanoma skin cancer or premalignancy

Exclusion Criteria:

• Patients who were incompetent to sign informed consent were excluded

Related Conditions & MeSH terms

• Artificial Intelligence
• Basal Cell Carcinoma
• Carcinoma
• Carcinoma, Basal Cell
• Deep Learning
• Optical Coherence Tomography

Intervention

Device:
• Optical Coherence Tomography
OCT is an imaging technique, which is able to produce real-time, in vivo, cross-sectional images of lesions with a depth of 1,5-2 mm. OCT imaging is based on light-interferometry, calculating the interference of an optical beam reflected by the tissue with a reference. [2] In such ways, microscopic details of lesions and tissues can be visualized. This information could be used to identify a lesion as BCC, and further specify the subtype. Therefore, the use of the OCT can reduce the number of biopsies and the accompanying morbidity.

Locations

Country	Name	City	State
Netherlands	Maastricht University Medical Centre+	Maastricht	Limburg

Sponsors (2)

Lead Sponsor	Collaborator
Maastricht University Medical Center	Maastricht University

Country where clinical trial is conducted

Netherlands, 

References & Publications (1)

Sinx KAE, van Loo E, Tonk EHJ, Kelleners-Smeets NWJ, Winnepenninckx VJL, Nelemans PJ, Mosterd K. Optical Coherence Tomography for Noninvasive Diagnosis and Subtyping of Basal Cell Carcinoma: A Prospective Cohort Study. J Invest Dermatol. 2020 Oct;140(10): — View Citation

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Diagnostic accuracy of OCT in diagnosis and subtyping of BCC	The main study parameter is the diagnostic value of OCT in diagnosis BCC defined as accuracy, sensitivity, specificity and negative- and positive diagnostic values. An increase of at least 10 percent in specificity and an equal sensitivity of OCT-based diagnosis is expected, compared with the clinical diagnosis and the golden-standard histopathology.	February 2017-April 2021
Secondary	Developing a deep learning algorithm for automated detection of basal cell carcinoma (BCC) and recognizing three different BCC subtypes in OCT images.	The ability of a deep learning algorithm to classify BCC from other skin lesions within OCT images	June 2020-August 2021