The impact of anatomical location and sun exposure on the dermoscopic recognition of atypical nevi and early melanomas: usefulness of an integrated clinical-dermoscopic method (iDScore).

BACKGROUND: The anatomical location of atypical melanocytic skin lesion (aMSL) was never combined into an algorithm for discriminating early melanomas (EM) from atypical nevi (AN). AIMS: To investigate the impact of body location on the intuitive diagnosis performed in teledermoscopy by dermatologists of different skill levels. A further aim was to evaluate how the integration of the body location could improve an algorithm-aided diagnosis. METHODS: We retrospectively collected 980 standardized dermoscopic images of aMSL cases (663 AN, 317 EM): data on the anatomical location were collected according to 15 body sites classified into 4 macro-areas of chronically/frequently/seldom/rarely exposure. Through a teledermatology web platform, 111 variously skilled dermoscopists performed either the intuitive diagnosis and 3 algorithm-assisted diagnostic tests (i.e. iDScore, 7-point checklist, ABCD rule) on each case, for a total of 3330 examinations. RESULTS: In the rarely photoexposed area (side, bottom, abdomen), AN were the most tricky (i.e. highest quote of false positives), due to a frequent recognition of dermoscopic features usually considered as suggestive for melanoma in these lesions; the EM at these sites received the highest quote of false negatives, being generally interpreted as 'featureless' according to these traditional parameters, that were more frequently displayed on the chronically photoexposed area. In rarely and seldom photoexposed area, intuitive diagnosis fails to achieve adequate accuracy for all aMSLs, as the ABCD rule and the 7-point checklist; by applying the iDScore algorithm the diagnostic performance was increased by 15% in young and 17% in experts. CONCLUSIONS: The body location of an aMSL can affect the quality of intuitive dermoscopic diagnosis, especially in sun-protected areas. Accuracy can be improved by using the iDScore algorithm that assigns a different partial score of each body site.

Validation of an integrated dermoscopic scoring method in an European teledermoscopy web platform: the iDScore project for early detection of melanoma.

BACKGROUND: Although live and teledermoscopic examination has been successfully used to achieve non-invasive diagnosis of melanocytic skin lesions (MSLs), early melanoma (EM) and atypical nevi (AN) continue to be a challenge, and none of the various algorithms proposed have been sufficiently accurate. We designed a scoring classifier diagnostic method, the iDScore that combines clinical data of the patient with dermoscopic features of the MSL. OBJECTIVE: To test the accuracy of the iDScore in differentiating EM from AN in a teledermoscopy setting and to compare it with intuitive diagnosis, the ABCD rule and the seven-point checklist. MATERIALS AND METHODS: A dedicated teledermoscopy web platform was designed. This involved the following: (i) collecting a large integrated clinical-historical-dermoscopic data set of difficult MSLs from eight European dermatology centres; (ii) online testing, education and training in using the iDScore. A total of 904 images were combined with age, sex, lesion diameter and body site data and evaluated on the platform by 111 participants with four levels of skill in dermoscopy. Each testing session consisted of 30 blind cases to examine consecutively by the above four methods. 'Management decisions' and personal participant data were also recorded. RESULTS: iDScore-aided diagnosis achieved satisfactory diagnostic accuracy for all lesions, irrespective of centre of affiliation, showing an average AUC of 0.776 in all participant testing sessions. All skill groups improved their accuracy by 10-16% with respect to intuitive diagnosis and the other methods, showing high concordance and avoiding wrong management decisions. CONCLUSION: We demonstrated the validity of the iDScore method for managing suspicious MSLs in a large multicentric data set and a teledermoscopic setting. The platform designed for the iDScore project provides ready support for physicians of any dermoscopy skill level and is useful for education and training.

Mortality from second tumour among long-term survivors of retinoblastoma: a retrospective analysis of the Italian retinoblastoma registry.

Survivors of retinoblastoma (Rb) are at high risk of dying from second malignant tumour. The occurrence of second malignant neoplasm (SMN) and related mortality in a cohort of 1111 cases from the Italian Retinoblastoma Registry was analysed, considering the possible role of both genetic and iatrogenic causes. Rb patients had a greater than 10-fold excess in overall mortality compared with the general population (standardized mortality ratio (SMR) 10.73, 95% CI 9.00-12.80). Their excess risk attributable to cancers other than Rb was 14.93 95% CI 10.38-21.49). Survivors of hereditary Rb had an SMR for all causes of 16.25 (95% CI 13.20-20.00), whereas their SMR for all cancers was 25.72 (95% CI 17.38-38.07). Survivors of unilateral sporadic Rb had an SMR of 4.12 from all cancers (95% CI 1.55-10.98) and a much higher excess for overall mortality (SMR 13.34, 95% CI 10.74-16.56). As expected, survivors of hereditary Rb had higher mortality from cancers of the bone (SMR 391.90, 95% CI 203.90-753.20) and soft tissue (SMR 453.00, 95% CI 203.50-1008.40), small intestine (SMR 1375.50, 95% CI 344.00-5499.70), nasal cavity (SMR 13.71, 95% CI 1.93-97.35) and cancers of the brain and central nervous system (SMR 41.14, 95% CI 13.2-127.55).

Standardized psychological evaluation pre- and posttransplantation: a new option.

A multicenter study was undertaken involving three teams in Italy to obtain a homogeneous psychological evaluation of patients needing organ transplantations. After a preliminary formulation of a common questionnaire individualizing 22 items, yielding a final score from 0 to 44, 294 forms were analyzed for correlations between variables. The sample responses were related to individual variables as well as by cluster analysis to aggregate typical profiles. Clustering of variables was observed in three areas that showed two variables (no. 6, "ongoing psychotic disturbances" and no. 10 "drugs") to be separate. Area 1 ("psychopathology") highlights psychic disturbances, cognitive disorders, and unhealthy behavioral styles; area 2 ("anxia") correlates anxious symptoms to pretransplant examinations and waiting time; area 3 ("depression") ties personal emotional resources and affective factors. Cluster analysis of the sample identified four groups: Group 1 (16.6%) "at risk;" mean score 25.2 (range 16-31); Group 2 (21.7%) "intermediate-at risk," mean score 32 (range 25-38); Group 3 (29.6%) "intermediate-ideal," mean score 35.3 (range 26-40); and Group 4 (31.9%) "ideal candidate," mean score 40.7 (range 36-44). The two "intermediate" groups were studied for mean values for area 1; namely, a cut-off value of 1.78 constituted a better or worse prognostic factor to assign the patient to either Group 2 or 3. Using a uniform method of psychological evaluation before transplantation reduced single operator subjectivity, obtaining comparable results in different transplant centers and allowing planning interventions for at-risk patients.