scholarly journals Radiomics Analysis of Fat-Saturated T2-Weighted MRI Sequences for the Prediction of Prognosis in Soft Tissue Sarcoma of the Extremities and Trunk Treated With Neoadjuvant Radiotherapy

2021 ◽  
Vol 11 ◽  
Author(s):  
Silin Chen ◽  
Ning Li ◽  
Yuan Tang ◽  
Bo Chen ◽  
Hui Fang ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Survival Analysis ◽  
Prognostic Factors ◽  
Soft Tissue ◽  
Tumour Size ◽  
Curve Analysis ◽  
Rank Test ◽  
Neoadjuvant Radiotherapy ◽  
Log Rank Test ◽  
Tumour Location

PurposeTo create a prognostic prediction radiomics model for soft tissue sarcoma (STS) of the extremities and trunk treated with neoadjuvant radiotherapy.MethodsThis study included 62 patients with STS of the extremities and trunk who underwent magnetic resonance imaging (MRI) before neoadjuvant radiotherapy. After tumour segmentation and preprocessing, 851 radiomics features were extracted. The radiomics score was constructed according to the least absolute shrinkage and selection operator (LASSO) method. Survival analysis (disease-free survival; DFS) was performed using the log-rank test and Cox’s proportional hazards regression model. The nomogram model was established based on the log-rank test and Cox regression model. Harrell’s concordance index (C-index), calibration curve and receiver operating characteristic (ROC) curve analysis were used to evaluate the prognostic factors. The clinical utility of the model was assessed by decision curve analysis (DCA).ResultsThe univariate survival analysis showed that tumour location (p = 0.032), clinical stage (p = 0.022), tumour size (p = 0.005) and the radiomics score were correlated with DFS (p < 0.05). The multivariate analysis showed that tumour location, tumour size, and the radiomics score were independent prognostic factors for DFS (p < 0.05). The combined clinical-radiomics model based on the multivariate analysis showed the best predictive ability for DFS (C-index: 0.781; Area Under Curve: 0.791). DCA revealed that the use of the radiomics score-based nomogram was associated with better benefit gains relative to the prediction of 2-year DFS events than other models in the threshold probability range between 0.12 and 0.38.ConclusionThe radiomics score from pretreatment MRI is an independent prognostic factor for DFS in patients with STS of the extremities and trunk. The radiomics score-based nomogram could improve prognostic stratification ability and thus contribute to individualized therapy for STS patients.

scholarly journals Presepsin values and prognostic nutritional index predict mortality in intensive care unit patients with sepsis: a pilot study

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Yuichiro Shimoyama ◽  
Osamu Umegaki ◽  
Noriko Kadono ◽  
Toshiaki Minami
Keyword(s):  
Multivariate Analysis ◽  
Roc Curve ◽  
Operating Characteristic ◽  
Prognostic Nutritional Index ◽  
Early Mortality ◽  
Curve Analysis ◽  
Rank Test ◽  
Roc Curve Analysis ◽  
Log Rank Test ◽  
Nutritional Index

Abstract Objective Sepsis is a major cause of mortality for critically ill patients. This study aimed to determine whether presepsin values can predict mortality in patients with sepsis. Results Receiver operating characteristic (ROC) curve analysis, Log-rank test, and multivariate analysis identified presepsin values and Prognostic Nutritional Index as predictors of mortality in sepsis patients. Presepsin value on Day 1 was a predictor of early mortality, i.e., death within 7 days of ICU admission; ROC curve analysis revealed an AUC of 0.84, sensitivity of 89%, and specificity of 77%; and multivariate analysis showed an OR of 1.0007, with a 95%CI of 1.0001–1.0013 (p = 0.0320).

scholarly journals Preoperative albumin-to-fibrinogen ratio predicts chemotherapy resistance and prognosis in patients with advanced epithelial ovarian cancer

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Wen Yu ◽  
Zhongxue Ye ◽  
Xi Fang ◽  
Xingzhi Jiang ◽  
Yafen Jiang
Keyword(s):  
Risk Factors ◽  
Ovarian Cancer ◽  
Prognostic Factors ◽  
Chemotherapy Resistance ◽  
Curve Analysis ◽  
Rank Test ◽  
Debulking Surgery ◽  
Roc Curve Analysis ◽  
Log Rank Test ◽  
Kaplan Meier

Abstract Background Epithelial ovarian cancer (EOC) is the majority ovarian cancer (OC) type with a poor prognosis. This present study aimed to investigate potential prognostic factors including albumin-to-fibrinogen ratio (AFR) for advanced EOC patients with neoadjuvant chemotherapy (NAC) followed by debulking surgery. Methods A total of 313 advanced EOC patients with NAC followed by debulking surgery from 2010 to 2017 were enrolled. The predictive value of AFR for the overall survival (OS) was evaluated by receiver operating characteristic (ROC) curve analysis. The univariate and multivariate Cox proportional hazards regression analyses were applied to investigate prognostic factors for advanced EOC patients. The association between preoperative AFR and progression free survival (PFS) or OS was determined via the Kaplan–Meier method using log-rank test. Results The ROC curve analysis showed that the cutoff value of preoperative AFR in predicting OS was determined to be 7.78 with an area under the curve (AUC) of 0.773 (P < 0.001). Chemotherapy resistance, preoperative CA125 and AFR were independent risk factors for PFS in advanced EOC patients. Furthermore, chemotherapy resistance, residual tumor and AFR were significant risk factors for OS by multivariate Cox analysis. A low preoperative AFR (≤7.78) was significantly associated with a worse PFS and OS via the Kaplan–Meier method by log-rank test (P < 0.001). Conclusions A low preoperative AFR was an independent risk factor for PFS and OS in advanced EOC patients with NAC followed by debulking surgery.

scholarly journals Presepsin values and Prognostic Nutritional Index predict mortality in intensive care unit patients with sepsis: a pilot study

2021 ◽  
Author(s):  
Yuichiro Shimoyama ◽  
Osamu Umegaki ◽  
Noriko Kadono ◽  
Toshiaki Minami
Keyword(s):  
Multivariate Analysis ◽  
Roc Curve ◽  
Operating Characteristic ◽  
Prognostic Nutritional Index ◽  
Early Mortality ◽  
Curve Analysis ◽  
Rank Test ◽  
Roc Curve Analysis ◽  
Log Rank Test ◽  
Nutritional Index

Abstract Objective Sepsis is a major cause of mortality for critically ill patients. This study aimed to determine whether presepsin values can predict mortality in patients with sepsis. Results Receiver operating characteristic (ROC) curve analysis, Log-rank test, and multivariate analysis identified presepsin values and Prognostic Nutritional Index as predictors of mortality in sepsis patients. Presepsin value on Day 1 was a predictor of early mortality, i.e., death within 7 days of ICU admission; ROC curve analysis revealed an AUC of 0.84, sensitivity of 89%, and specificity of 77%; and multivariate analysis showed an OR of 1.0007, with a 95%CI of 1.0001–1.0013 (p = 0.0320).

scholarly journals Multivariate analysis for clinical prognostic factors in 163 patients with soft tissue sarcoma

Cancer ◽  
1988 ◽  
Vol 62 (7) ◽  
pp. 1444-1450 ◽  
Author(s):  
Takafumi Ueda ◽  
Katsuyuki Aozasa ◽  
Masahiko Tsujimoto ◽  
Hideki Hamada ◽  
Hideki Hayashi ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Prognostic Factors ◽  
Soft Tissue ◽  
Soft Tissue Sarcoma

Interferon Adjuvant to Radical Nephrectomy in Robson Stages II and III Renal Cell Carcinoma: A Multicentric Randomized Study

2001 ◽  
Vol 19 (2) ◽  
pp. 425-431 ◽  
Author(s):  
Giorgio Pizzocaro ◽  
Luigi Piva ◽  
Maria Colavita ◽  
Sonia Ferri ◽  
Raffaella Artusi ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Prognostic Factors ◽  
Protective Effect ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Radical Nephrectomy ◽  
Rank Test ◽  
Event Free Survival ◽  
Free Survival ◽  
Log Rank Test

PURPOSE: Because interferon gave promising results in the management of metastatic renal cell carcinoma in the 1980s, a multicentric randomized controlled trial was planned to compare adjuvant recombinant interferon alfa-2b (rIFNα2b) with observation after radical nephrectomy in patients with Robson stages II and III renal cell carcinoma. Overall and event-free survival were to be evaluated together with prognostic factors. PATIENTS AND METHODS: Overall and event-free survival curves for 247 patients (124 controls and 123 treated) were estimated by the Kaplan-Meier method and compared using the log-rank test. Cox’s multiple regression models were adopted to perform a joint analysis of treatment and prognostic factors. RESULTS: The 5-year overall and event-free survival probabilities were 0.665 and 0.671, respectively, for controls and 0.660 and 0.567, respectively, for the treated group; the differences were not statistically significant (2P = .861 for overall and 2P = .107 for event-free survival with the log-rank test). Regarding prognostic factors, only grade, pT, and pN demonstrated a significant prognostic role. First-order interactions of treatment with pT and pN category were investigated; a significant interaction was found between pN and treatment. A harmful effect of rIFNα2b in the 97 treated pN0 patients and a protective effect in the 13 treated pN2/pN3 patients were statistically significant. CONCLUSION: Adjuvant rIFNα2b is not indicated after radical nephrectomy for renal cell carcinoma. The protective effect in the small group of pN2/pN3 patients requires further investigation.

P0742ASSOCIATION BETWEEN EOSINOPHILIA AND RENAL PROGNOSIS IN PATIENTS WITH CHOLESTEROL CRYSTAL EMBOLISM

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Yasuhiro Mochida ◽  
Takayasu Ohtake ◽  
Marie Morota ◽  
Kunihiro Ishioka ◽  
Hidekazu Moriya ◽  
...  
Keyword(s):  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Curve Analysis ◽  
Rank Test ◽  
Cholesterol Crystal ◽  
Renal Survival ◽  
Log Rank Test ◽  
Cholesterol Crystal Embolism ◽  
Renal Prognosis ◽  
Receiver Operating

Abstract Background and Aims Approximately, 20%-70% of patients with cholesterol crystal embolism (CCE) have eosinophilia. However, it remains unknown how eosinophilia influences on renal prognosis in patients with CCE. In this study, we investigated an association between eosinophil count (Eo) and renal prognosis in CCE patients on steroid therapy. Method The present study is a single-center retrospective cohort study in patients with pathological proven CCE and Chronic kidney disease from April 2007 to May 2018. This study included the patients who are not treated with maintenance dialysis nor steroid, and moreover followed until November 2019. We analyzed the validity of eosinophil counts using receiver operating characteristic (ROC) curve analysis. In the statistical analysis, renal survival was calculated with the Kaplan– Meier method, and comparisons between higher and low Eo groups were made with the log-rank test. Results Thirty-two patients with pathological diagnosed CCE were enrolled and followed-up for 11.0 (4.7-43.6) months. There were significant differences in the white blood cell (p=0.03), hemoglobin (p=0.007), serum creatinine levels (p=0.03), phosphate (p=0.045), Calcium×Phosphate (p=0.03), and Eo (p=0.016) between the renal survival and renal death groups. Using the receiver operating characteristic curve analysis with Youden index, Eo of 810/µL showed the sensitivity and specificity 71% and 88% for detecting renal death, respectively (area under the carve; 0.789). Comparing the outcomes in patients having Eo ≥ and &lt;810/µL by using the log-rank test, there are significantly higher renal death rate in CCE patients with Eo ≥810/µL (p=0.004). Conclusion Higher eosinophilia was a prognostic risk factor for renal death in the patients with CCE.

Prognostic factors for outcome after transsphenoidal hypophysectomy in dogs with pituitary-dependent hyperadrenocorticism

2007 ◽  
Vol 107 (4) ◽  
pp. 830-840 ◽  
Author(s):  
Jeanette M. Hanson ◽  
Erik Teske ◽  
George Voorhout ◽  
Sara Galac ◽  
Hans S. Kooistra ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Prognostic Factors ◽  
Hazard Analysis ◽  
Disease Recurrence ◽  
Sphenoid Bone ◽  
Rank Test ◽  
High Concentration ◽  
Normal Range ◽  
Increased Risk ◽  
Disease Free

Object The aim of this study was to determine prognostic factors for outcome after transsphenoidal hypophysectomy in dogs with pituitary-dependent hyperadrenocorticism (PDH). Methods One veterinary neurosurgeon performed transsphenoidal hypophysectomies in 181 dogs with PDH over a 12-year period. Survival analysis was performed with the Kaplan–Meier method. Prognostic factors were analyzed with the univariate Cox proportional hazard analysis followed by stepwise multivariate analysis. The log-rank test was used to assess disease-free fractions in three groups categorized according to early postoperative urinary corticoid/creatinine (C/C) ratios. Results Multivariate analysis revealed that old age, large pituitary size, and high preoperative concentrations of plasma adrenocorticotropic hormone were associated with an increased risk of PDH-related death. In addition, large pituitary size, thick sphenoid bone, high C/C ratio, and high concentration of plasma α-melanocyte–stimulating hormone (α-MSH) before surgery were associated with an increased risk of disease recurrence in the dogs that went into remission after hypophysectomy. Disease-free fractions were significantly higher in dogs with postoperative urinary C/C ratios in the lower normal range (< 5 × 10−6) than in dogs with postoperative C/C ratios in the upper normal range (5–10 × 10−6). Conclusions The results of this study indicate that pituitary size, sphenoid bone thickness, plasma α-MSH concentration, and preoperative level of urinary cortisol excretion are predictors of long-term remission after transsphenoidal hypophysectomy for PDH in dogs. Urinary C/C ratios measured 6 to 10 weeks after surgery can be used as a guide for predicting the risk of tumor recurrence.

The Prognostic Value of Serum APRIL Levels in Patients with Chronic Lymphocytic Leukemia

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 5648-5648
Author(s):  
Sinem Nihal Esatoglu ◽  
Dilek Keskin ◽  
Muge Kutnu ◽  
Tugrul Elverdi ◽  
Ayse Salihoglu ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Demographic Data ◽  
Lymphocytic Leukemia ◽  
Rank Test ◽  
Healthy Controls ◽  
Log Rank Test ◽  
Treatment Naïve ◽  
Group A ◽  
Group B ◽  
Time To First Treatment

Abstract Introduction: Chronic lymphocytic leukemia (CLL) is a heterogeneous disease with variable clinical course. Several studies have been conducted to predict outcome in patients with CLL and also have been going on. A proliferation inducing ligand (APRIL) has been shown to involve in survival and resistance to apoptosis in CLL, and APRIL molecule has been investigated as a prognostic marker in CLL patients. However, there are limited and controversial data regarding APRIL and its impact on prognosis in CLL. We aimed to compare serum APRIL levels in CLL patients with those of age and gender matched healthy subjects, and to investigate the relationship between APRIL and the other common prognostic factors, and to determine whether serum APRIL levels predict time to first treatment in CLL. Methods: After ethical approval and informed consent were obtained, between May and December 2012, venous blood samples were driven from 96 CLL patients’ and 25 healthy controls’, and serum APRIL levels were measured by ELISA. Demographic data and the prognostic markers were obtained from the patients’ files, and patients have been followed for a minimum of 12 months. We tested the correlation between APRIL with the, clinical and biological parameters, and used the log rank test to compare their Kaplan Meier curves. Results: Patients were divided into three groups: Treatment naive (group A, n=49), chemotherapy receiving (group B, n=25) and who had previously received chemotherapy (group C, n=22). Median APRIL level was higher in group A (2.78 vs 1.29; p=0.034) and group C (3.54 vs 1.29; p=0.001) when compared to healthy controls, but was not different in group B (1.56 vs 1.29; p=0.3) (Figure 1). Serum APRIL level in group A was negatively correlated with hemoglobin levels (r=-0.298; p=0.037) and platelet counts (r=-0.321; p=0.025) whereas no correlation with age, Rai and Binet stages, lymphocyte counts, β2-microglobulin and CD38 levels were detected. Group A patients were also divided into 2 subgroups (APRIL levels low, n=20 and APRIL levels high, n=29) using median natural logarithm of serum APRIL level as cut off. April low and high subgroups were similar with respect to demographic data and prognostic factors. Median time to first treatment was not reached in the APRIL low group, but was 104 months in the APRIL high group (p=0.13, log-rank test). Conclusions: Among the treatment naive patients, serum APRIL levels only negatively correlate with hemoglobin levels and platelet counts. These correlations seem to be associated with tumor burden rather than the prognosis, because APRIL levels were not different in chemotherapy receiving patients compared to healthy controls. Since a median survival time could not be reached in the APRIL low group, short follow up time might be an explanation why the APRIL levels did not predict the time to first treatment. In conclusion, our findings let us to think APRIL levels are not a useful marker to predict prognosis in patients with CLL. Figure 1. Median APRIL levels of CLL patients and healthy controls (ng/mL) Figure 1. Median APRIL levels of CLL patients and healthy controls (ng/mL) Disclosures No relevant conflicts of interest to declare.

Expression of Epstein-Barr Virus in Cell of Classical Hodgkin's Lymphoma Tumor

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 5358-5358
Author(s):  
Abrahão Elias Hallack Neto ◽  
Graziela Toledo Costa Mayrink ◽  
Luciano J. Costa ◽  
Kelli Borges dos Santos
Keyword(s):  
Prognostic Factors ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Rank Test ◽  
Chi Square ◽  
Histologic Subtype ◽  
Free Survival ◽  
Barr Virus ◽  
Log Rank Test ◽  
Epstein Barr

Abstract Introduction: The association between classical Hodgkin's Lymphoma (cHL) and tumor Epstein-Barr virus (EBV) status is well established. However, the presence of EBV within Hodgkin/Reed-Sternberg (HRS) cells and its prognosis remains controversial, with conflicting findings from studies of various regions of the world. It is considered essential to deepen the understanding of the pathogenic role of EBV in cHL and its impact in prognosis. Methods: We assessed the correlation between EBV presence in HRS and outcomes in a cohort of Brazilian patients with cHL. EBV positivity was determined by in situ hybridization (ISH) for EBV-encoded RNA (EBER) and immunohistochemistry (IMH) for viral latent membrane protein (LMP-1). All cases were histologically confirmed by an expert hematopathologist who also performed the assays for EBV identification. We examined the prognostic impact of EBV status in 29 patients with cHL. The prognostic factors by IPS (International Prognostic Score) for patients with advanced stage and the risk factors by GHSG (German Hodgkin Study Group) for patients with limited stage were correlated with EBV status tumor cells. For associations between the presence of EBV and other categorical variables, we applied Chi-square or Fisher's exact tests. For describe the effect size (ES) measures for chi-square, we used Cramér's V (V) and odds ratios (OR) with the respective 95% Confidence Intervals (CIs). To evaluate the correlation between all methods of identification of EBV status and among evaluators in histological classification, we applied the Kappa test (K), which measures the degree of agreement these assessments. Differences in OS (overall survival) and EFS (event-free survival) Kaplan-Meier survival curves between EBV-positive and EBV-negative patients were compared statistically using the log-rank test. To evaluate the impact of EBV status on event-free survival controlling for prognostic factors and unfavorable risks, we applied Cox proportional hazards regression to determine hazards ratios (HR) and associated the respective 95% CIs. Multivariate analyses included variables significant at p ≤ 0.15 in univariate models. Results: The mean age at diagnosis was 33 years. Sixty-five percent of the patients had the Nodular Sclerosis histologic subtype and 62,1% had Ann Arbor stage I or II disease at diagnosis. According to GHSG, 88,3% of early-stage patients were classified with unfavorable risk (at least one risk factor) at diagnosis. Compared to advanced-stage patients, 81,9% were considered with favorable IPS (< 4 prognostic factors) at diagnosis. HRS cells were EBV-positive in 37.9% of cases. EBV-positive cHL cases were more frequent in patients ≥ 45 years (71,4% vs. 27,3%, p =0,07). Mixed cellularity (MC) histology subtype was more common in EBV-related tumor cells (p= 0,02) and its effect-size index was medium. The correlation between all methods of identification of EBV status was 96,5% (p< 0,001; K=0.93). The correlation among evaluators in histological classification was 89,6% (p< 0,001; K=0.79). In univariate analysis, age, stage, histologic subtype, nodal involvement, extranodal disease, sex, bulky disease, laboratory data were not associated with adverse EFS (p>0,05). EBV-positive HL seemed to have better EFS than EBV-negative HL (log-rank test, p = 0,07). Cox proportional hazards model confirmed that EBV-positive tumor status and prognosis factors did not impact HL outcome. Conclusions: Despite EBV status in HRS cells not being associated with adverse prognostic factors and not influencing the overall and event-free survivals, the presence of EBV was linked to MC subtype, showing possible implication in histological subtype and worse prognosis. Disclosures Costa: Sanofi: Honoraria, Research Funding.

Use of percent positive biopsy cores to predict prostate cancer–specific death in patients treated with dose-escalated radiotherapy.

2011 ◽  
Vol 29 (7_suppl) ◽  
pp. 35-35
Author(s):  
Y. Qian ◽  
F. Y. Feng ◽  
S. Halverson ◽  
K. Blas ◽  
H. M. Sandler ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Roc Curve ◽  
Risk Group ◽  
Curve Analysis ◽  
External Beam Radiation ◽  
Rank Test ◽  
Roc Curve Analysis ◽  
Cut Point ◽  
Log Rank Test ◽  
Positive Biopsy

35 Background: The percent of positive biopsy cores (PPC)-considered a surrogate of local disease burden-has been shown to predict biochemical failure (BF) after external beam radiation therapy (EBRT), but most series have used conventional dose RT. Dose-escalated RT has been demonstrated to improve prostate cancer outcomes, but the value of PPC is unclear in the setting of RT doses high enough to decrease local failure. Methods: A retrospective evaluation was performed of 651 patients treated to ≥75 Gy with biopsy core information available. Patients were stratified for PPC by quartile, and differences by quartile in BF, freedom from metastasis (FFM), cause specific survival (CSS), and overall survival (OS) were assessed using the log-rank test. Receiver operated characteristic (ROC) curve analysis was utilized to determine an optimal cut-point for PPC. Cox proportional hazards multivariate regression was utilized to assess the impact of PPC on clinical outcome when adjusting for risk group. Results: With median follow-up of 62 months the median number of cores sampled was 7 (IQR: 6–12) with median PPC in 38% (IQR: 17%-67%). On log-rank test, BF, FFM, and CSS were all associated with PPC (p < 0.005 for all), with worse outcomes only for the highest PPC quartile (>67%). There was no observed difference in OS based upon PPC. ROC curve analysis confirmed a cut-point of 67% as most closely associated with CSS (p<0.001, AUC=0.71). On multivariate analysis after adjusting for NCCN risk group and ADT use, PPC>67% increased the risk for BF (p<0.0001, HR:2.1 [1.4–3.0]), FFM (p<0.05, HR:1.7 [1.1 to 2.9]), and CSS (p<0.06 (HR:2.1 [1.0–4.6]). When analyzed as a continuous variable controlling for risk group and ADT use, increasing PPC increased the risk for BF (p < 0.002), metastasis (p < 0.05), and CSS (p < 0.02), with a 1–2% increase in relative risk of recurrence for each 1% increase in the PPC. Conclusions: For patients treated with dose-escalated RT, the PPC adds prognostic value but at a higher cut-point then previously utilized. Patients with PPC >67% remain at increased risk for failure even with dose-escalated EBRT and may receive benefit from further intensification of therapy. No significant financial relationships to disclose.

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