A new computerized methodology to analyse tumour site in relation to phenotypic traits and epidemiological characteristics of cutaneous malignant melanoma
被引:10
作者:
Gillgren, P
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Stockholm Soder Hosp, Dept Surg, SE-11883 Stockholm, SwedenStockholm Soder Hosp, Dept Surg, SE-11883 Stockholm, Sweden
Gillgren, P
[1
]
Brattström, G
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机构:Stockholm Soder Hosp, Dept Surg, SE-11883 Stockholm, Sweden
Brattström, G
Mårtensson, ED
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机构:Stockholm Soder Hosp, Dept Surg, SE-11883 Stockholm, Sweden
Mårtensson, ED
Frisell, J
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机构:Stockholm Soder Hosp, Dept Surg, SE-11883 Stockholm, Sweden
Frisell, J
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Palmgren, J
Ringborg, U
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机构:Stockholm Soder Hosp, Dept Surg, SE-11883 Stockholm, Sweden
Ringborg, U
Hansson, J
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机构:Stockholm Soder Hosp, Dept Surg, SE-11883 Stockholm, Sweden
Hansson, J
机构:
[1] Stockholm Soder Hosp, Dept Surg, SE-11883 Stockholm, Sweden
[2] Stockholm Univ, Dept Math, SE-10691 Stockholm, Sweden
[3] Karolinska Hosp, Radiumhemmet, Dept Oncol, SE-17176 Stockholm, Sweden
Background While sunlight is important in the aetiology of cutaneous malignant melanoma (CMM), the relationship between skin areas receiving intermittent or chronic sun exposure and the development of CMM has not been fully explored. There is a requirement for an improved method for more detailed site mapping and for analysis of tumour density in different areas of the skin in relation to the type of sun exposure, phenotypic traits and prognosis of patients with CMM. Objectives To describe and demonstrate the use of EssDoll(C) , a new computerized method to map and analyse tumour sites. Methods We have used the new software to analyse data on 2517 patients with 2608 primary CMMs. Results The results obtained were consistent with previous data on the distribution of CMM in men and women. The distribution of CMM on the back was uneven, with the density on the upper back being twice that on the lower back. Conclusions The new methodology allows a more accurate mapping and analysis of skin tumour site, including determination of tumour density. This improves the possibility of analysing tumour site in relation to aetiological, phenotypic and prognostic parameters.
机构:
Univ Otago, Sch Med, Dept Prevent & Social Med, Hugh Adam Canc Epidemiol Unit, Dunedin, New ZealandUniv Otago, Sch Med, Dept Prevent & Social Med, Hugh Adam Canc Epidemiol Unit, Dunedin, New Zealand
Bulliard, JL
Cox, B
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Univ Otago, Sch Med, Dept Prevent & Social Med, Hugh Adam Canc Epidemiol Unit, Dunedin, New ZealandUniv Otago, Sch Med, Dept Prevent & Social Med, Hugh Adam Canc Epidemiol Unit, Dunedin, New Zealand