Title |
Cost-effectiveness of preoperative SPECT/CT combined with lymphoscintigraphy vs. lymphoscintigraphy for sentinel lymph node excision in patients with cutaneous malignant melanoma
|
---|---|
Published in |
European Journal of Nuclear Medicine and Molecular Imaging, April 2014
|
DOI | 10.1007/s00259-014-2771-1 |
Pubmed ID | |
Authors |
Ingo Stoffels, Markus Müller, Marie Henrike Geisel, Julia Leyh, Thorsten Pöppel, Dirk Schadendorf, Joachim Klode |
Abstract |
Malignant melanoma has become a major growing interdisciplinary problem in public health worldwide. Sentinel lymph node excision (SLNE) in conjunction with preoperative SPECT/CT is considered the most sensitive and specific staging test for the detection of micrometastatic melanoma in regional lymph nodes. Among patients with clinically lymph node-negative melanoma, the use of SPECT/CT-aided SLNE compared with SLNE alone has been found to be associated with a higher frequency of metastatic involvement and a higher rate of disease-free survival. The aim of this study was to analyse the cost-effectiveness of SLNE with preoperative SPECT/CT for detecting sentinel lymph nodes versus that of standard SLNE with preoperative lymphoscintigraphy from a single-institution database. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 37 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 19% |
Researcher | 5 | 14% |
Professor > Associate Professor | 5 | 14% |
Student > Ph. D. Student | 5 | 14% |
Other | 4 | 11% |
Other | 6 | 16% |
Unknown | 5 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 21 | 57% |
Computer Science | 2 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Physics and Astronomy | 1 | 3% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Other | 2 | 5% |
Unknown | 9 | 24% |