2017
DOI: 10.18632/oncotarget.16512
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Characteristics of prostate cancer detection rate (PCDR) in Chinese Han population under different prostate biopsy methods

Abstract: We analyzed the improvement of prostate cancer detection rate (PCDR) in Chinese Han population and summarized the characteristics of prostate cancer (PCa) with the advancement of prostate biopsy technologies. From March 1999 to March 2015, 3762 patients underwent the systematic 6-, 8- or 13-core biopsy, guided by finger or transrectal ultrasound (TRUS) at our center. The PCDR under different PSA intervals and different biopsy methods were analyzed. The trends of PSA level, age and Gleason score of PCa patients… Show more

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Cited by 5 publications
(9 citation statements)
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“…Therefore, as shown in Fig. 1, in the first phase of machine-assisted system, six different disease indicators (tumor markers) could be adopted to evaluate the clinical stage of prostate cancer: Prostatic Acid Phosphatase (PAP), Prostate Membrane Antigen (PSMA), Total Prostate-Specific Antigen (TPSA), Free Prostate-Specific Antigen (FPSA), Hemoglobin (Hb), and Red Blood Cell (RBC) [8]. Since each disease indicator plays a different role in the diagnosis of prostate cancer, the data associate with disease indicators are reasonably divided into two categories: Key Parameters (KP) and General Parameters (GP).…”
Section: A the Overall Framework Of Medical Decision-making Model For Prostate Cancer In Big Data Environmentmentioning
confidence: 99%
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“…Therefore, as shown in Fig. 1, in the first phase of machine-assisted system, six different disease indicators (tumor markers) could be adopted to evaluate the clinical stage of prostate cancer: Prostatic Acid Phosphatase (PAP), Prostate Membrane Antigen (PSMA), Total Prostate-Specific Antigen (TPSA), Free Prostate-Specific Antigen (FPSA), Hemoglobin (Hb), and Red Blood Cell (RBC) [8]. Since each disease indicator plays a different role in the diagnosis of prostate cancer, the data associate with disease indicators are reasonably divided into two categories: Key Parameters (KP) and General Parameters (GP).…”
Section: A the Overall Framework Of Medical Decision-making Model For Prostate Cancer In Big Data Environmentmentioning
confidence: 99%
“…Moreover, these healthcare personnel also must deal with hundreds of pathological reports from remote areas with behindhand medical system, because advanced medical devices and excellent physicians are centralized in big cities and first-class hospitals. What's more crucial is that heavy work and mental stress have already constituted a huge burden to those physicians, while thousands of patients are still waiting for malignant tumor diagnosis [7], [8]. Proportionately, in China, over 5000 patients must share one physician, and one general practitioner needs to take care of at least 70 prostate cancer patients a day [9], [10].…”
Section: Introductionmentioning
confidence: 99%
“…Çeşitli çalışmalarda prostat biyopsisi yapılan hastalarda kanser saptanma oranı %14,6-69,77 arasında değişmektedir. [23][24][25][26] Yaptığımız çalışmada, kanser saptanma oranı %34,5 olarak bulunmuştur. PSA hâlen; prostat kanserinde taramada, tanıda, evrelemede ve tedavi sonrası izlemde yaygın olarak kullanılan bir beliteçtir.…”
Section: Bulgularunclassified
“…29 Pan ve ark., PSA 4 ng/mL altında kanser saptanma oranını %13,7, 4-10 ng/mL arasında %21,4 ve 10-20 ng/mL arasında ise 30,2 olarak bulmuşlardır. 26 Lee ve ark. ise kanser saptanma oranlarını PSA seviyesi 0-4, 4-10 ve 10-20 ng/mL için sırasıyla; %9,5, %20,9, %38,4 olarak bulmuşlardır.…”
Section: Bulgularunclassified
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