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Automated quantification of MART1-verified Ki-67 indices: useful diagnostic aid in melanocytic lesions.
- Source :
-
Human pathology [Hum Pathol] 2014 Jun; Vol. 45 (6), pp. 1153-61. Date of Electronic Publication: 2014 Jan 31. - Publication Year :
- 2014
-
Abstract
- The MART1-verified Ki-67 proliferation index is a valuable aid to distinguish melanomas from nevi. Because such indices are quantifiable by image analysis, they may provide a novel automated diagnostic aid. This study aimed to validate the diagnostic performance of automated dermal Ki-67 indices and to explore the diagnostic capability of epidermal Ki-67 in lesions both with and without a dermal component. In addition, we investigated the automated indices' ability to predict sentinel lymph node (SLN) status. Paraffin-embedded tissues from 84 primary cutaneous melanomas (35 with SLN biopsy), 22 melanoma in situ, and 270 nevi were included consecutively. Whole slide images were captured from Ki-67/MART1 double stains, and image analysis computed Ki-67 indices for epidermis and dermis. In lesions with a dermal component, the area under the receiver operating characteristic (ROC) curve was 0.79 (95% confidence interval [CI], 0.72-0.86) for dermal indices. By excluding lesions with few melanocytic cells, this area increased to 0.93 (95% CI, 0.88-0.98). A simultaneous analysis of epidermis and dermis yielded an ROC area of 0.94 (95% CI, 0.91-0.96) for lesions with a dermal component and 0.98 (95% CI, 0.97-1.0) for lesions with a considerable dermal component. For all lesions, the ROC area of the simultaneous analysis was 0.89 (95% CI, 0.85-0.92). SLN-positive patients generally had a higher index than SLN-negative patients (P ≤ .003). Conclusively, an automated diagnostic aid seems feasible in melanocytic pathology. The dermal Ki-67 index was inferior to a combined epidermal and dermal index in diagnosis but valuable for predicting the SLN status of our melanoma patients.<br /> (Copyright © 2014 Elsevier Inc. All rights reserved.)
- Subjects :
- Area Under Curve
Automation
Biomarkers, Tumor analysis
Carcinoma in Situ diagnosis
Carcinoma in Situ metabolism
Female
Humans
Immunohistochemistry
Male
Melanoma metabolism
Middle Aged
Mitotic Index
Nevus, Pigmented diagnosis
Nevus, Pigmented metabolism
ROC Curve
Sentinel Lymph Node Biopsy
Skin Neoplasms metabolism
Melanoma, Cutaneous Malignant
Image Interpretation, Computer-Assisted methods
Ki-67 Antigen analysis
MART-1 Antigen analysis
Melanoma diagnosis
Skin Neoplasms diagnosis
Subjects
Details
- Language :
- English
- ISSN :
- 1532-8392
- Volume :
- 45
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Human pathology
- Publication Type :
- Academic Journal
- Accession number :
- 24704158
- Full Text :
- https://doi.org/10.1016/j.humpath.2014.01.009