Yii Her Chou

Prof. Yii Her Chou


Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 May 2009 in Urological Research
Verified
Journal Article
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WLWei-Ming Li
Wei-Ming Li
YCYii Her Chou
Yii Her Chou
CLChing-Chia Li
Ching-Chia Li
CLChia-Chu Liu
Chia-Chu Liu
SHShu-Pin Huang
Shu-Pin Huang
CHChun-Hsiung Huang
Chun-Hsiung Huang

1 September 2020 in Journal of Hazardous Materials
Verified
Journal Article
Closed access
CLCHIA CHU LIU
CHIA CHU LIU
THTusty-Jiuan Hsieh
Tusty-Jiuan Hsieh
CWChia-Fang Wu
Chia-Fang Wu
CLChien-Hung Lee
Chien-Hung Lee
YTYichun Tsai
Yichun Tsai
MWMing-Tsang Wu
Ming-Tsang Wu

16 December 2010 in Urological Research
Verified
Journal Article
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YCYii Her Chou
Yii Her Chou
CSChing-Ming Su
Ching-Ming Su
CLChing-Chia Li
Ching-Chia Li
CLChia-Chu Liu
Chia-Chu Liu
MLMu-En Liu
Mu-En Liu
YJYung-Shun Juan
Yung-Shun Juan

1 February 2007 in The Kaohsiung Journal of Medical Sciences
Verified
Journal Article
Open access
YCYii Her Chou
Yii Her Chou
CLChing‐Chia Li
Ching‐Chia Li
WWWen‐Jeng Wu
Wen‐Jeng Wu
YJYung‐Shun Juan
Yung‐Shun Juan
SHShu‐Pin Huang
Shu‐Pin Huang
ACAi‐Wen Chang
Ai‐Wen Chang
Urolithiasis is a common urologic disease. Stones may occur in the kidney, ureter, or urinary bladder. We collected 1,000 stone samples in the subtropical area of southern Taiwan. Stone components were analyzed by Fourier transform infrared spectroscopy. Mixed components of calcium oxalate and calcium phosphate were the most common form of stones (52.3%), followed by calcium oxalate (27.8%) and calcium phosphate (9.3%). Uric acid stones accounted for 7.6%. Magnesium ammonium phosphate stones accounted for 3.0%. Only one cystine stone was found. In the study of urinary stone formation mechanism and prevention of recurrent urolithiasis, knowing the stone composition is important.

4 March 2010 in Urological Research
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Journal Article
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Jau-Ling SuenJau-Ling Suen
Jau-Ling Suen
CLChia-Chu Liu
Chia-Chu Liu
YLYi-Shiuan Lin
Yi-Shiuan Lin
YTYin-Fen Tsai
Yin-Fen Tsai
SJSuh-Hang Hank Juo
Suh-Hang Hank Juo
YCYii Her Chou
Yii Her Chou

12 November 2021 in Journal of Clinical Medicine
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Journal Article
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TCTsu-Ming Chien
Tsu-Ming Chien
CLChing-Chia Li
Ching-Chia Li
YLYen-Man Lu
Yen-Man Lu
YCYii Her Chou
Yii Her Chou
HCHsueh-Wei Chang
Hsueh-Wei Chang
WWWen-Jeng Wu
Wen-Jeng Wu
Background: This study aimed to assess the prognostic significance of pre-treatment lymphocyte-related systemic inflammatory biomarkers in upper tract urothelial carcinoma (UTUC) patients. Methods: This study included non-metastatic UTUC patients treated at our hospital between 2001 and 2013. The receiver operating characteristic curve was used to obtain the optimal neutrophile-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII). Multivariate logistic regression was performed to investigate the relationship between NLR, PLR, and SII and clinical pathologic characteristics. The Kaplan–Meier method was used to calculate the metastasis-free survival (MFS), cancer-specific survival (CSS), and bladder recurrence-free survival (BRFS), and the log-rank test was used to compare the survival rate. Results: Overall, 376 patients were included in the current study. An elevated SII was associated with symptomatic hydronephrosis, bladder cancer history, advanced pathologic tumor stage, lymph node invasion, adjuvant chemotherapy and concomitant carcinoma in situ (CIS); high NLR was associated with older age, symptomatic hydronephrosis, hemodialysis status, anemia, multifocal tumor, advanced pathologic tumor stage, and adjuvant chemotherapy; and high PLR was associated with older age, anemia, advanced pathologic tumor stage, and adjuvant chemotherapy. The Kaplan–Meier analysis indicated that patients exhibiting higher NLR, PLR, and SII showed significantly poor MFS and CSS rates. Only high SII showed significantly worse BRFS rates. Conclusions: The NLR, PLR, and SII were independent predictive factors for both MFS and CSS in UTUC patients. Among the factors, only elevated SII can predict bladder recurrence. Therefore, the patients might need close bladder monitoring during the follow-up.