Acquiring Images of Pigmented Skin Lesions With the Artificial Intelligence Dermatology Assistant (AIDA™) and Concurrent in Vivo Assessment for the Evaluation of Diagnostic Accuracy
试验速览
- 阶段
- 不适用
- 发起方
- 入组人数
- 4,000
- 试验地点
- 2
- 主要终点
- Sensitivity of in-clinic dermatologist diagnosis using AIDA™ compared to standard dermoscopy and physical examination alone
研究概览
简要总结
Diagnosis of melanoma involves physical examination of the lesion with many dermatologists adjunctively employing dermoscopes. The rate of misdiagnosis of melanoma remains significant, along with a high rate of referral to biopsy. Elucid Labs (Waterloo, Ontario) has developed a novel handheld, digital dermoscope with accompanying visualization and analysis software - the Artificial Intelligence Dermatology Assistant (AIDA™). Apart from collecting conventional demoscopic images, AIDA also collects images at various spectral bands. The aim of this study is to understand and quantify the value of this novel adjunctive information for dermatologists diagnosing atypical skin lesions.
详细描述
Patients presenting with atypical skin lesions will undergo assessment by an investigator as per their standard clinical practice (not utilizing AIDA™). If a lesion meeting the inclusion-exclusion criteria is referred for biopsy, informed consent will be obtained and the subject will be enrolled. Subjects will then have images acquired by the AIDA™ system. All lesions scheduled for biopsy (Subgroup A) will be imaged along with at most 2 additional lesions meeting inclusion/exclusion criteria but not referred for biopsy (Subgroup B). For each lesion imaged using AIDA™, the investigator will manually segment the lesion image and list any lesion features which contributed to their recommendation to biopsy or not biopsy. The investigator will first score the lesion according to the ABCD rule using the standard dermoscopy image displayed. They will then state their diagnosis (malignant, dyplastic, or benign) and their diagnostic confidence using a visual analog scale. Once standard demoscopy diagnosis has been collected, the process will be repeated with the use of AIDA™ software outputs. Investigators will also provide an estimate of lesion depth based on AIDA™ depth images. All biopsy results will be recorded by the pathologist. Histopathology determination will be used as the definitive diagnosis of either positive (malignant/dysplastic) or negative (benign). Complete de-identified pathology reports may also be collected.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Diagnostic
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Is 18 years of age or older
- •Has provided informed consent to participate in the study
- •Is being evaluated by a dermatologist for at least one pigmented skin lesionscheduled for biopsy and meeting the following:
- •Has a diameter of at least 1 mm and at most 10 mm
- •Is accessible to the study device (allows for complete seal of device with skin-ie. no ambient light leakage)
- •Is not within 1 cm of the eyes, on mucosal surfaces, palmar hands, plantarfeet, or under nails
- •Is intact (eg. no open sores, ulcers, bleeding)
- •Has not previously been biopsied, excised or traumatized
- •Does not contain visible scarring or foreign material (eg. tattoos, etc.)
排除标准
- •Any allergy to isopropyl alcohol
研究组 & 干预措施
Acquisition of Lesion Images with AIDA
Subjects presenting with atypical skin lesions referred for biopsy will have their lesion imaged using the Artificial Intelligence Dermatology Assistant (AIDA™) study device
干预措施: Artificial Intelligence Dermatology Assistant (AIDA™) (Device)
结局指标
主要结局
Sensitivity of in-clinic dermatologist diagnosis using AIDA™ compared to standard dermoscopy and physical examination alone
时间窗: Average of 4 weeks
The investigator will review the standard dermoscopy image for the lesion, score it according to the ABCD rule, and state their diagnosis (malignant, dysplastic, or benign) and their diagnostic confidence using a visual analog scale. Subsequently, the investigator will review the AIDA™ outputs and again state their diagnosis and confidence. The sensitivity of those in-clinic diagnoses will be determined by using the definitive diagnoses established in the histopathology reports. The sensitivity of a diagnostic technique determines the probability of a positive test result in a person who has the disease. This is defined according to the equation: TP/(TP + FN) . In this equation, TP is the number of true-positive and FN is the number of false-negative results.
Specificity of in-clinic dermatologist diagnosis using AIDA™ compared to standard dermoscopy and physical examination alone
时间窗: Average of 4 weeks
The investigator will review the standard dermoscopy image for the lesion, score it according to the ABCD rule, and state their diagnosis (malignant, dysplastic, or benign) and their diagnostic confidence using a visual analog scale. Subsequently, the investigator will review the AIDA™ outputs and again state their diagnosis and confidence. The specificity of those in-clinic diagnoses will be determined by using the definitive diagnoses established in the histopathology reports. The specificity of a diagnostic technique refers to the probability of a negative test result in a person who does not have the disease according to the equation: TN/(TN + FP). In this equation, TN is the number of true-negative and FP is the number of false-positive results.
次要结局
未报告次要终点