| Literature DB >> 23785590 |
Elisabeth Riedl1, Masoud Asgari, Diana Alvarez, Irina Margaritescu, Geoffrey J Gottlieb.
Abstract
Dermatopathology represents the gold standard for the diagnosis of skin diseases and neoplasms that cannot be diagnosed on clinical grounds alone. The aim of this study was to test the feasibility and to assess the accuracy of an Internet-based real-time (live) teledermatopathology consultation. Twenty teaching cases and 10 randomly selected routine cases were presented to four expert dermatopathologists, first by real-time teledermatopathology and, subsequently, in a blinded fashion, using light microscopy. Throughout the study the overall diagnostic accuracy did not differ for the two methods. However, the mean level of confidence and the mean observation times differed significantly between real-time teledermatopathology and light microscopy (92.6±0.24% versus 99.5±0.02%, and 96.31±11.55 sec versus 25.47±3.85 sec, respectively). Assessment of routine cases did not produce significant diagnostic differences between the two methods. These results prove that real-time teledermatopathology offers an affordable and technically simple technology that lends itself to training as well as to diagnosis of lesions from routine practice by experts situated at remote sites.Entities:
Year: 2012 PMID: 23785590 PMCID: PMC3663339 DOI: 10.5826/dpc.0202a02
Source DB: PubMed Journal: Dermatol Pract Concept ISSN: 2160-9381
Histopathologic diagnoses of slides used for teledermatopathology and microscopy including 20 “teaching cases” (left column) and 10 “routine cases” (right column)
| 1 | Granuloma annulare | 1 | Desmoplastic melanoma |
| 2 | Reed’s nevus | 2 | Basal cell carcinoma |
| 3 | Invasive melanoma | 3 | Pityriasis lichenoides chronica |
| 4 | Scabies | 4 | Irritated seborrheic keratosis |
| 5 | Squamous cell carcinoma | 5 | Pityriasis rosea |
| 6 | Isthmus catagen cyst | 6 | Basal cell carcinoma |
| 7 | Basal cell carcinoma (BCC) | 7 | Eczema/dermatitis |
| 8 | Syringoma | 8 | Lichen sclerosus et atrophicans |
| 9 | Xanthogranuloma | 9 | Neurofibroma |
| 10 | Melanoma in situ | 10 | Nodular melanoma |
| 11 | Blue nevus | ||
| 12 | Chronic pigmented purpura | ||
| 13 | Hidrocystoma | ||
| 14 | Psoriasis | ||
| 15 | Dermatofibroma | ||
| 16 | Herpes simplex | ||
| 17 | Leukocytoclastic vasculitis | ||
| 18 | Lichen planus | ||
| 19 | Congenital melanocytic nevus | ||
| 20 | Keratoacanthoma |
Diagnosis of these cases included one ore more differential diagnosis as discussed in the text.
Figure 1Proof of principle of live teledermatopathology evaluating diagnostic accuracy, level of confidence and time to diagnosis during assessment of “teaching cases.” a. Bars represent the proportion of correct (corr) diagnoses during “online” (open bars) and “slide” (closed bars) assessment under the microscope by individual observers (A, B, C, D). b. Bars represent the percentages of cases that yielded a confidence level of 100% by individual observers (A, B, C, D) during online” (open bars) and “slide” (closed bars) evaluation. c. Bars represent time for diagnosis (sec) needed by individual observers (A, B, C, D) during teleconsultation (left panel) and direct slide assessment (right panel). P<0.001 between the two groups.
Figure 2Comparison of level of agreement and time needed for diagnosis in the evaluation of “routine cases.” a. Bars represent percentage of cases with perfect agreement among observers during teleconsultation (left) and direct slide assessment (right). b. Bars represent time needed for diagnosis (sec) by individual observers (A, B, C, D) during teleconsultation (left panel) and direct slide assessment (right panel).