Early Diagnosis and Staging.
(1999) In Prostate Cancer and Prostatic Diseases 2(S1). p.15-18- Abstract
- This report reviews developments in the early diagnosis and staging of prostate cancer and updated on the incidence of postate cancer to discuss the pros and cons of population based screening. Refinements and reliability of various diagnosic procedures are described such as PSA testing, transrectal ultrasound, ratio beteen PSA-level and ultrasound measured prostate volume, rate of change of PSA-level, combination factor equations computed by neural network programs to predict likelihood of prostate cancer, artificial neural network analysis of subvisual transrectal ultrasound information, measurements of different PSA-forms of PSA (in particular percent free PSA), and glandular kallikrein 2.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/111758
- author
- Lilja, Hans LU
- organization
- publishing date
- 1999
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Prostate Cancer and Prostatic Diseases
- volume
- 2
- issue
- S1
- pages
- 15 - 18
- publisher
- Nature Publishing Group
- external identifiers
-
- scopus:27844499483
- ISSN
- 1476-5608
- language
- English
- LU publication?
- yes
- id
- 28a6de07-efd0-44d7-833c-9e98e8a4b9c8 (old id 111758)
- alternative location
- http://www.nature.com/cgi-taf/DynaPage.taf?file=/pcan/journal/v2/n1s/abs/4500271a.html
- date added to LUP
- 2016-04-01 12:35:35
- date last changed
- 2022-03-21 06:27:14
@article{28a6de07-efd0-44d7-833c-9e98e8a4b9c8, abstract = {{This report reviews developments in the early diagnosis and staging of prostate cancer and updated on the incidence of postate cancer to discuss the pros and cons of population based screening. Refinements and reliability of various diagnosic procedures are described such as PSA testing, transrectal ultrasound, ratio beteen PSA-level and ultrasound measured prostate volume, rate of change of PSA-level, combination factor equations computed by neural network programs to predict likelihood of prostate cancer, artificial neural network analysis of subvisual transrectal ultrasound information, measurements of different PSA-forms of PSA (in particular percent free PSA), and glandular kallikrein 2.}}, author = {{Lilja, Hans}}, issn = {{1476-5608}}, language = {{eng}}, number = {{S1}}, pages = {{15--18}}, publisher = {{Nature Publishing Group}}, series = {{Prostate Cancer and Prostatic Diseases}}, title = {{Early Diagnosis and Staging.}}, url = {{http://www.nature.com/cgi-taf/DynaPage.taf?file=/pcan/journal/v2/n1s/abs/4500271a.html}}, volume = {{2}}, year = {{1999}}, }