Search results for "Primary cancer"
showing 3 items of 13 documents
Second primary cancers after cancer of unknown primary in Sweden and Germany: efficacy of the modern work-up.
2012
In unsparing efforts to find the hidden primaries, second primary cancers (SPCs) unrelated to cancer of unknown primary (CUP) are found. The detection rates of SPCs after CUP can be considered as measures for the effectiveness of modern diagnostic techniques in finding tumors. We aimed to compare the rates of specific SPCs found after the work-up of CUP and the more sign/symptom-directed diagnostic approaches applied after any other cancer. The number of CUP patients identified in the nationwide Swedish database and nine German cancer registries was 24 641 from 1997 through 2006, and rate ratios (RRs) for SPCs were recorded in two follow-up periods. The detection rate of SPCs immediately af…
The Assessment of Second Primary Cancers (SPCs) in a Series of Splenic Marginal Zone Lymphoma (SMZL) Patients
2006
The purpose of this study is to estimate the risk of second primary cancer (SPC) in 129 consecutive patients with splenic marginal zone lymphoma (SMZL) diagnosed in three Italian haematological centres. The person-years method deriving as a sum of products of age- and sex- specific rates and of the corresponding time at risk was used. The SPC Standardized Incidence Ratio (SIR) was 2.03 with a 95% confidence interval: [1.05, 3.56] (p < 0.05) and the corresponding Absolute Excess Risk (AER) was 145.8 (per 10000 SMZL patients per year). Our findings evidence a high frequency of additional cancers in patients with SMZL and suggest that the incidence rate of SPCs is significantly different from …
A radiomics evaluation of 2D and 3D MRI texture features to classify brain metastases from lung cancer and melanoma
2017
[EN] Brain metastases are occasionally detected before diagnosing their primary site of origin. In these cases, simple visual examination of medical images of the metastases is not enough to identify the primary cancer, so an extensive evaluation is needed. To avoid this procedure, a radiomics approach on magnetic resonance (MR) images of the metastatic lesions is proposed to classify two of the most frequent origins (lung cancer and melanoma). In this study, 50 T1-weighted MR images of brain metastases from 30 patients were analyzed: 27 of lung cancer and 23 of melanoma origin. A total of 43 statistical texture features were extracted from the segmented lesions in 2D and 3D. Five predictiv…