Background: Successful treatment of melanoma depends directly on early diagnosis. Such a diagnosis is based on clinical examination and dermatoscopy. Recently, automated instruments for melanoma detection are under development. Objective: To prospectively evaluate the diagnostic possibilities provided by clinical and dermatoscopic examinations and by a computerized telespectrophotometric system (TS). Methods: The study involves a consecutive series of 298 patients with 313 cutaneous pigmented lesions (66 melanomas and 247 non-melanoma lesions). Each lesion was subjected to the triple diagnostic evaluation, before surgery. Results were expressed in terms of sensitivity and specificity of each kind of evaluation. Results: Clinical evaluation had sensitivity and specificity values of 86 and 77%, respectively, whereas dermatoscopy gave corresponding values of 91 and 74%. TS assessment resulted in a sensitivity of 80% and a specificity of 49%. Differences between clinical and dermatoscopic diagnoses lacked statistical significance (p = 0.22), whereas there was a significant difference comparing both clinical and TS evaluations (p < 0.01) and dermatoscopic and TS evaluations (p < 0.01). Combining clinical and dermatoscopic evaluations, a sensitivity of 97% was achieved. Addition of TS has not changed this figure. Conclusions: Results of this study confirm and stress the importance of dermatoscopy in the diagnosis of melanoma. Clinical evaluation coupled with dermatoscopy can be considered the cornerstone of such a diagnosis. Although TS is able to achieve interesting results, at present it cannot significantly compete with any of the other tested methods.

1.
Greenlee RT, Murray T, Bolden S, Wingo PA: Cancer statistic, 2000. CA Cancer J Clin 2000;50:7–33.
2.
Rigel DS, Friedman RJ, Kopf AW: The incidence of malignant melanoma in the United States: Issues as we approach the 21st century. J Am Acad Dermatol 1996;34:839–847.
3.
Friedman RJ, Rigel DS, Kopf AW: Early detection of malignant melanoma: The role of the physician examination and self-examination of the skin. CA Cancer J Clin 1985;35:130–151.
4.
Rigel DS: Epiluminescence microscopy in clinical diagnosis of pigmented skin lesions? Lancet 1997;349:1566–1567.
5.
Steiner A, Pehamberger H, Wolff K: In vivo epiluminescence microscopy of pigmented skin lesions. 2. Diagnosis of small pigmented skin lesions and early detection of malignant melanoma. J Am Acad Dermatol 1987;17:584–591.
6.
Binder N, Schwarz N, Winkler A, Steiner A, Keider A, Wolff K, Pehamberger H: Epiluminescence microscopy: A useful tool for the diagnosis of pigmented lesions for formally trained dermatologists. Arch Dermatol 1995;131:286–291.
7.
Elder DE, Murphy GF: Melanocytic tumors of the skin; in Rosai J, Sobin LH (eds): Atlas of Tumor Pathology. Washington, Armed Forces Institute of Pathology, 1991, pp 110–119.
8.
Bono A, Bartoli C, Moglia D, Maurichi A, Camerini T, Grassi G, Tragni G, Cascinelli N: Small melanomas: A clinical study on 270 consecutive cases of cutaneous melanoma. Melanoma Res 1999;9:583–586.
9.
Bono A, Tomatis S, Bartoli C, Tragni G, Radaelli G, Maurichi A, Marchesini R: The ABCD system of melanoma detection: A spectrophotometric analysis of the asymmetry, border, color and dimension. Cancer 1999;85:72–77.
10.
Marchesini R, Tomatis S, Bartoli C, Bono A, Clemente C, Cupeta C, Del Prato I, Pignoli E, Sichirollo AE, Cascinelli N: In vivo spectrophotometric evaluation of neoplastic skin pigmented lesions. III. CCD camera-based reflectance imaging. Photochem Photobiol 1995;62:151–154.
11.
Kleinbaum DG, Kupper LL, Muller KE: Applied Regression Analysis and Other Multivariable Method. Boston, Kent, 1988.
12.
Farina B, Bartoli C, Bono A, Colombo A, Lualdi M, Tragni G, Marchesini R: Multispectral imaging approach in the diagnosis of cutaneous melanoma: Potentiality and limits. Phys Med Biol 2000;45:1243–1254.
13.
Grin CM, Kopf AW, Welkovich B, Bart RS, Levenstein MJ: Accuracy in the clinical diagnosis of malignant melanoma. Arch Dermatol 1990;126:763–766.
14.
Wolf H, Smolle J, Soyer HP, Kerl H: Sensitivity in the clinical diagnosis of malignant melanoma. Melanoma Res 1998;8:425–429.
15.
Koh HK, Lew RA, Prout MN: Screening for melanoma/skin cancer: Theoretic and practical considerations. J Am Acad Dermatol 1989;20:159–172.
16.
Morton CA, MacKie RM: Clinical accuracy in the diagnosis of cutaneous malignant melanoma. Br J Dermatol 1998;138:283–287.
17.
Collas H, Delbarre M, De Preville PA, Courville P, Neveu C, Dompmartin A, Balgueri X, Lemaistre B, Rzeznik JC: Thiébot B, Bouille MC, Bravard P, Michel Y, Krug M, LeCorvaisier-Pieto C, Young P, Thomine E, Boivin C, Ziade J, Pellegrin A, Hellot MF, Leroy D, Laurent P, Benichou J, Joly P: Evaluation du diagnostic des tumeurs pigmentées de la peau et des éléments conduisant à une décision d’exérèse. Ann Dermatol Vénéréol 1999;126:494–500.
18.
Pehamberger H, Binder M, Steiner A, Wolff K: In vivo epiluminescence microscopy: Improvement of early diagnosis of melanoma. J Invest Dermatol 1993;100:356s–362s.
19.
Soyer HP, Smolle J, Leitinger G, Rieger E, Kerl H: Diagnosis reliability of dermatoscopic criteria for detecting malignant melanoma. Dermatology 1995;190:25–30.
20.
Nachbar E, Stolz W, Merkle T, Cognetta AB, Vogt T, Landthaler M, Bilek P, Braun-Falco O, Plewig G: The ABCD rule of dermatoscopy. J Am Acad Dermatol 1994;30:551–559.
21.
Cristofolini M, Zumiani G, Bauer P, Cristofolini P, Boi S, Micciolo R: Dermatoscopy: Usefulness in the differential diagnosis of cutaneous pigmentary lesions. Melanoma Res 1994;4:391–394.
22.
Steiner A, Binder M, Schemper M, Wolff K, Pehamberger H: Statistical evaluation of epiluminescence microscopy criteria for melanocytic pigmented skin lesions. J Am Acad Dermatol 1993;29:581–588.
23.
Green A, Martin N, Pfitzner J, O’Rourke M, Knight N: Computer image analysis in the diagnosis of melanoma. J Am Acad Dermatol 1994;31:958–964.
24.
Stoecker W, Moss R: Digital imaging in dermatology. Comput Med Imaging Graph 1992;16:145–150.
25.
Cascinelli N, Ferrario M, Bufalino R, Zurrida S, Galimberti V, Mascheroni L, Bartoli C, Clemente C: Results obtained by usinig a computerized image analysis system designed as an aid to diagnosis of cutaneous melanoma. Melanoma Res 1992;2:163–170.
26.
Sober A, Burstein J: Computerized digital image analysis: An aid for melanoma diagnosis. J Dermatol 1994;21:885–890.
27.
Cristofolini M, Bauer P, Boi S, Cristofolini P, Micciolo R, Sicher R: Diagnosis of cutaneous melanoma: Accuracy of a computerized image analysis system (Skin View). Skin Res Technol 1997;3:23–27.
28.
Hall P, Claridge E, Morris Smith J: Computer screening for early detection of melanoma: Is there a future? Br J Dermatol 1995;132:325–338.
29.
Ackerman AB: A critique of an NIH consensus development conference about ‘early’ melanoma. J Am Acad Dermatol 1993;15:52–58.
30.
Bono A, Tomatis S, Bartoli C, Cascinelli N, Clemente C, Cupeta C, Marchesini R: The invisible colours of melanoma: A telespectrophotometric diagnostic approach on pigmented skin lesions. Eur J Cancer 1996;32A:727–729.
31.
Wallace VP, Crawford DC, Mortimer PS, Ott RJ, Bamber JC: Spectrophotometric assessment of pigmented skin lesions: Methods and feature selection for evaluation of diagnostic performance. Phys Med Biol 2000;45:735–751.
32.
Andreassi L, Perotti R, Rubegni P, Burroni M, Cevenini G, Biagioli M, Taddeucci P, Dell’Eva G, Barbini P: Digital dermoscopy analysis for the differentiation of atypical nevi and early melanoma: A new quantitative semiology. Arch Dermatol 1999;135:1459–1465.
33.
Schindewolf T, Stolz W, Albert R, Abmayr W, Harms H: Comparison of classification rates for conventional and dermatoscopic images of malignant and benign melanocytic lesions using computerized colour image analysis. Eur J Dermatol 1993;3:299–303.
34.
Binder M, Kittler H, Seeber A, Steiner H, Pehamberger H, Wolff K: Epiluminescence microscopy-based classification of pigmented skin lesions using computerized image analysis and an artificial neural network. Melanoma Res 1998;8:261–266.
35.
Menzies S, Crook B, McCarthy W: Automated instrumentation for the diagnosis of invasive melanoma (abstract). Skin Res Technol 1997;3:200.
36.
Seidenari S, Pellacani G, Pepe P: Digital videomicroscopy improves diagnostic accuracy for melanoma. J Am Acad Dermatol 1998;39:175–181.
37.
Seidenari S, Pellacani G, Giannetto A: Digital videomicroscopy and image analysis with automatic classification for detection of thin melanomas. Melanoma Res 1999;9:163–171.
Copyright / Drug Dosage / Disclaimer
Copyright: All rights reserved. No part of this publication may be translated into other languages, reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, microcopying, or by any information storage and retrieval system, without permission in writing from the publisher.
Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug.
Disclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements.
You do not currently have access to this content.