scholarly journals Minimum Variance Algorithm-Based Correlation Analysis between Body Mass Index and the Malignant Degree of Prostate Cancer Mediated under Ultrasound Images

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Yong Wei ◽  
Hongru Zhu ◽  
Peng Chen ◽  
Wenren Zuo ◽  
Wenhui Qian ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Body Mass Index ◽  
High Risk ◽  
Body Mass ◽  
Gleason Score ◽  
Risk Group ◽  
Minimum Variance ◽  
High Risk Group ◽  
Ultrasound Images ◽  
Group A

This study was to explore the correlation between the malignant degree of prostate cancer (PCa) and body mass index (BMI) mediated by ultrasound images under multioperator algorithm (MOA) based on minimum variance (MV) algorithm. MOA was established by optimizing the smoothing technique and diagonal loading algorithms of MV, and its quality and processing speed of ultrasound images were compared with other algorithms. Ninety two patients were selected as the subjects investigated, who had transrectal prostate biopsy mediated by ultrasound to be diagnosed as PCa in the hospital. Based on Gleason score and prostate specific antigen (PSA) value, all patients were divided into a high-risk PCa group (a high-risk group) and a non-high-risk PCa group (a non-high-risk group). The proportion of obese patients in the two groups was compared. The logistic regression analysis method was applied to analyze related factors of PCa development, and Pearson correlation was for analyzing the correlation between Gleason score and BMI of patients. The results showed that the number of patients in the high-risk group was greater than that of the non-high-risk group ( P  < 0.05), while the proportion of nonobese patients in the non-high-risk group was markedly higher than that of the higher-risk group ( P  < 0.01). Both PSA and BMI were obviously correlated with the development of high-risk PCa ( P  < 0.05), and there was an extreme positive correlation between BMI and Gleason score (r = 0.661 and P  = 0.007). It indicated that MOA was established based on conventional MV, which could increase the ultrasonic image quality and calculation speed. Besides, BMI was a risk factor of high-risk PCa and was positively correlated with malignant degree of PCa, which provided a referable evidence for clinical evaluation of malignant degree of PCa.

Validation of a genomic-clinical classifier model for predicting clinical recurrence of patients with localized prostate cancer in a high-risk population.

2012 ◽  
Vol 30 (5_suppl) ◽  
pp. 175-175 ◽  
Author(s):  
Robert B. Jenkins ◽  
Eric J Bergstralh ◽  
Elai Davicioni ◽  
R. Jeffrey Karnes ◽  
Karla V. Ballman ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Radical Prostatectomy ◽  
Gleason Score ◽  
Risk Group ◽  
High Risk Group ◽  
High Risk Population ◽  
Clinical Recurrence ◽  
Clinical Variables ◽  
Subset Analysis

175 Background: The efficient delivery of adjuvant and salvage therapy after radical prostatectomy in patients with prostate cancer is hampered by a lack of biomarkers to assess the risk of clinically significant recurrence and progression. Methods: Mayo Clinic Radical Prostatectomy Registry (RP) patient specimens were selected from a case-control cohort with 14 years median follow-up for training and initial validation of an expression biomarker genomic classifier (GC). An independent, blinded case-cohort study of high-risk RP subjects was used to validate GC, comparing the performance of GC to a multivariate logistic regression clinical model (CM) and GC combined with clinical variables (genomic-clinical classifier, GCC) for predicting clinical recurrence (defined as positive bone or CT scan within 5 years after biochemical recurrence). The concordance index (c-index) and Cox model were used to evaluate discrimination and estimate the risk of clinical recurrence. Results: In the training subset (n=359), both GC and GCC had a c-index of 0.90 whereas CM had a c-index of 0.76. In the internal validation set (n=186), GC and GCC had a c-index of 0.76 and 0.75, while CM had a c-index of 0.69. In an independent high-risk study (n=219), GC and GCC had a c-index of 0.77 and 0.76, while CM had a c-index of 0.68. In subset analysis of Gleason score 7 patients within the high-risk group, GC and GCC showed improved discrimination with c-index of 0.78 and 0.76, respectively compared to 0.70 for CM. In the high-risk group, the risk of recurrence by GC model score quartiles at 5 years after RP was estimated at 1%, 5%, 5% and 18%. Conclusions: The GC model shows improved performance over CM in the prediction of clinical recurrence in a high-risk cohort and in subset analysis of Gleason score 7 patients. The addition of clinical variables to the GC model did not significantly contribute to classifier performance in patients with high-risk features. We are further testing the performance of the GC and GCC models and their usefulness in guiding decision-making (e.g., for the adjuvant therapy setting) in additional studies of prostate cancer clinical risk groups.

scholarly journals Radical prostatectomy as radical cure of prostate cancer in a high-risk group: A single-institution experience

2012 ◽  
Vol 1 (2) ◽  
pp. 337-342 ◽  
Author(s):  
NOBUKI FURUBAYASHI ◽  
MOTONOBU NAKAMURA ◽  
KEN HISHIKAWA ◽  
ATSUSHI FUKUDA ◽  
TAKASHI MATSUMOTO ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Radical Prostatectomy ◽  
Risk Group ◽  
High Risk Group ◽  
Radical Cure ◽  
Single Institution ◽  
Group A

scholarly journals 424: Uterocervical angle does not predict spontaneous preterm birth in either a low-risk or high-risk group: A prospective study

2018 ◽  
Vol 218 (1) ◽  
pp. S258
Author(s):  
Courtney Olson-Chen ◽  
Kam Szlachetka ◽  
Dzhamala Gilmandyar ◽  
Erica Faske ◽  
Elizabeth Fountaine ◽  
...  
Keyword(s):  
Preterm Birth ◽  
High Risk ◽  
Prospective Study ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Spontaneous Preterm Birth ◽  
Group A ◽  
A Prospective Study

Language Development in 2-Year-Old Normal and Risk Infants

PEDIATRICS ◽  
1977 ◽  
Vol 59 (6) ◽  
pp. 982-986
Author(s):  
Judith Zarin-Ackerman ◽  
Michael Lewis ◽  
John M. Driscoll
Keyword(s):  
High Risk ◽  
Risk Group ◽  
Birth Asphyxia ◽  
Normal Subjects ◽  
High Risk Group ◽  
Age Group ◽  
Language Tests ◽  
Group A ◽  
Language Measures ◽  
Early Trauma

A variety of language measures was obtained on two groups of 2-year-old infants matched for social class but differing in terms of birth conditions. One group, a high risk group, contained infants who suffered from RDS, birth asphyxia, hypercalcemia, and hyperglycemia while another group consisted of normal infants. The results of the language tests revealed that the high risk group showed poorer performance than the normal subjects. Other tests of perceptual-cognitive development revealed little difference between the groups. The data suggest that the assessment of early trauma needs to employ a variety of measures, especially those which are related to the unfolding skills appropriate for the particular age group studied.

Molecular Load of Pathologically Occult Metastases in Pelvic Lymph Nodes Is an Independent Prognostic Marker of Biochemical Failure After Localized Prostate Cancer Treatment

2006 ◽  
Vol 24 (19) ◽  
pp. 3081-3088 ◽  
Author(s):  
Anna C. Ferrari ◽  
Nelson N. Stone ◽  
Ralf Kurek ◽  
Elizabeth Mulligan ◽  
Roy McGregor ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Lymph Nodes ◽  
Prognostic Marker ◽  
Risk Group ◽  
High Risk Group ◽  
Biochemical Failure ◽  
Localized Prostate Cancer ◽  
Pelvic Lymph Nodes ◽  
Independent Prognostic Marker

Purpose Thirty percent of patients treated with curative intent for localized prostate cancer (PC) experience biochemical recurrence (BCR) with rising serum prostate-specific antigen (sPSA), and of these, approximately 50% succumb to progressive disease. More discriminatory staging procedures are needed to identify occult micrometastases that spawn BCR. Patients and Methods PSA mRNA copies in pathologically normal pelvic lymph nodes (N0-PLN) from 341 localized PC patients were quantified by real-time reverse-transcriptase polymerase chain reaction. Based on comparisons with normal lymph nodes and PLN with metastases and on normalization to 5 × 106 glyceraldehyde-3′-phosphate dehydrogenase mRNA copies, normalized PSA copies (PSA-N) and a threshold of PSA-N 100 or more were selected for continuous and categorical multivariate analyses of biochemical failure-free survival (BFFS) compared with established risk factors. Results At median follow-up of 4 years, the BFFS of patients with PSA-N 100 or more versus PSA-N less than 100 was 55% and 77% (P = .0002), respectively. The effect was greatest for sPSA greater than 20 ng/mL, 25% versus 60% (P = .014), Gleason score 8 or higher, 21% versus 66% (P = .0002), stage T3c, 18% versus 64% (P = .001), and high-risk group (50% v 72%; P = .05). By continuous analysis PSA-N was an independent prognostic marker for BCR (P = .049) with a hazard ratio of 1.25 (95% CI, 1.001 to 1.57). By categorical analysis, PSA-N 100 or more was an independent variable (P = .021) with a relative risk of 1.98 (95% CI, 1.11 to 3.55) for BCR compared with PSA-N less than 100. Conclusion PSA-N 100 or more is a new, independent molecular staging criterion for localized PC that identifies high-risk group patients with clinically relevant occult micrometastases in N0-PLN, who may benefit from additional therapy to prevent BCR.

scholarly journals A Circulating MicroRNA Signature as a Biomarker for Prostate Cancer in a High Risk Group

2015 ◽  
Vol 4 (7) ◽  
pp. 1369-1379 ◽  
Author(s):  
Brian Kelly ◽  
Nicola Miller ◽  
Karl Sweeney ◽  
Garrett Durkan ◽  
Eamon Rogers ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Risk Group ◽  
High Risk Group ◽  
Circulating Microrna

scholarly journals Association of ABO Blood Types and Clinicopathological Features of Prostate Cancer

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Fang-Ming Wang ◽  
Yan Zhang ◽  
Gui-Ming Zhang ◽  
Ya-Nan Liu ◽  
Li-Jiang Sun ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Regression Analysis ◽  
High Risk ◽  
Gleason Score ◽  
Multivariate Regression ◽  
Multivariate Regression Analysis ◽  
High Risk Group ◽  
Blood Type ◽  
Blood Types ◽  
Significant Difference

Purpose. To investigate the association between ABO blood types and clinicopathological characteristics in patients with prostate cancer (PC). Methods. A total of 237 pathologically diagnosed PC patients were enrolled. All patients were classified as low–middle or high-risk group. The correlation of ABO blood types with high-risk PC was determined by univariate and multivariate regression analysis. Results. Data indicated 144 (85.7%) patients were stratified as high risk in the non-O group, while 50 (72.5%) patients in the O group (p=0.025). However, there was no significant difference regarding PSA, Gleason score, stage, or metastasis between O and non-O group (p>0.05). Univariate logistic regression analyses revealed PSA, Gleason score, and blood type non-O were all correlated with high-risk PC (OR = 1.139, p<0.001; OR = 9.465, p<0.001; OR = 2.280, p=0.018, resp.). In the stepwise multivariate regression analysis, the association between blood type non-O and high-risk PC remained significant (OR = 33.066, 95% CI 2.391–457.323, and p=0.009) after adjusting for confounding factors as well as PSA and Gleason score. Conclusion. The present study firstly demonstrated that non-O blood type was at higher risk of aggressive PC compared with O type, suggesting that PC patients with non-O blood type should receive more attention in clinical practice.

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