Nomogram Articles

Objective: To develop a predictive nomogram based on multi-parametric magnetic resonance imaging (mpMRI) information to identify men more likely to have a cancer diagnosed on repeat prostate biopsy.

Radical prostatectomy with extended pelvic lymph node dissection (ePLND) is a curative treatment option for patients with clinically significant localised prostate cancer. The decision to perform an ePLND can be challenging because the overall incidence of lymph node metastasis is relatively low and ePLND is not free of complications.

A significant proportion of patients that fail active surveillance (AS) for prostate cancer management do so because of cancer upgrading. A previously validated upgrading nomogram generates a score that predicts risk of biopsy Gleason 6 upgrading following radical prostatectomy in lower-risk populations that are candidates for Active Surveillance (Cancer, 2013).

Preoperative lymph node (LN) status is important for the treatment of bladder cancer (BCa). Here, we report a genomic-clinicopathologic nomogram for preoperatively predicting LN metastasis in BCa. In the discovery stage, 325 BCa patients from TCGA were involved and LN-status-related mRNAs were selected.

To develop and externally validate a predictive model for detection of significant prostate cancer (PC).

Development of the model was based on prospective cohort including 393 men who underwent mpMRI prior to biopsy.

Abnormal expressions of long noncoding RNAs (lncRNAs) are very common in clear cell renal cell carcinoma (ccRCC), and some of these have been reported to be highly correlated with prognosis of ccRCC patients.

Bladder cancer (BCa) is a heterogeneous disease with various tumorigenic mechanisms and clinical behaviors. The current tumor-node-metastasis (TNM) staging system is inadequate to predict overall survival (OS) in BCa patients.

Testosterone recovery (TR) after androgen deprivation therapy (ADT) and radiation therapy (RT) is not well characterized. We studied TR in men who received RT and either short-term (ST) or long-term (LT) ADT and aimed to create a nomogram to predict TR.

We aim to develop a nomogram to predict re-operation due to secondary hemorrhage after Monopolar transurethral resection of the prostate (M-TURP). We identified patients undergoing M-TURP at Peking University First Hospital from 2000 to 2013.

To develop a novel risk tool that allows the prediction of lymph node invasion (LNI) among patients with prostate cancer (PCa) treated with robot-assisted radical prostatectomy (RARP) and extended pelvic lymph node dissection (ePLND).

To develop a novel nomogram that combines clinical, biopsy and multiparametric magnetic resonance imaging (mpMRI) findings and to compare its predictive accuracy to, respectively: 1) Prostate Cancer Research International: Active Surveillance (PRIAS) criteria, 2) Johns Hopkins (JH) criteria, 3) EAU low risk classification and 4) EAU low risk or low volume ISUP GG2 classification.

Available models for predicting lymph node invasion (LNI) in prostate cancer (PCa) patients undergoing radical prostatectomy (RP) might not be applicable to men diagnosed via magnetic resonance imaging (MRI)-targeted biopsies.

Surgical benefits for renal cell carcinoma must be weighed against competing causes of mortality, especially in the elderly patient population. We used a large cancer registry to evaluate the impact of patient and cancer-specific factors on 90-day mortality (90DM).

Muscle-invasive bladder urothelial carcinoma (MIBC) is a highly invasive cancer, which leads to prevalent recurrence and poor prognosis. Exploring the association of DNA methylation and the prognosis of MIBC will thus be of important value in clinical management and treatment.

Immune cell infiltration into tumor tissue is closely related to the clinical outcomes of patients with clear cell renal cell carcinoma (ccRCC). This study aimed to screen out potential immune genes associated with ccRCC, analyze their relationships with clinical outcomes, and construct a signature to predict ccRCC.

Clear cell renal cell carcinoma (ccRCC) is the most common and invasive histological subtype of all kidney malignancies, with high levels of incidence and mortality. In the present study, long non-coding (lnc)RNA expression profiles of patients with ccRCC from The Cancer Genome Atlas database were comprehensively analyzed to identify differentially expressed lncRNAs (DElncRNAs).

To develop and validate a PI-RADS-based nomogram for predicting the probability of clinically significant prostate cancer (csPCa) at initial prostate biopsy.

From February 2015 to October 2018, 573 consecutive patients made up the development cohort (DC), and another 253 patients were included as an independent validation cohort (VC).

To develop a multivariable model using both clinical examination findings and validated questionnaires' scores for predicting the presence of detrusor overactivity observed during ambulatory urodynamic monitoring in women with urinary incontinence.

Preoperative prediction of bladder cancer (BCa) recurrence risk is critical for individualized clinical management of BCa patients.

To develop and validate a nomogram based on radiomics and clinical predictors for personalized prediction of the first 2 years (TFTY) recurrence risk.

To create a predictive nomogram for biochemical failure following primary whole-gland cryoablation of the prostate for localized prostate cancer (LPCa).

The aim of this study was to establish a comprehensive nomogram for the cancer-specific survival (CSS) of patients with upper-tract urothelial carcinoma (UTUC) and compare it with the traditional American Joint Committee on Cancer (AJCC) staging system in order to determine its reliability.

Unfavorable prostate cancer (PCa) disease at final pathology affects at least 10 % of D'Amico low-risk patients. Thus, conservative therapies including active surveillance may be wrongfully applied.

OBJECTIVE - The aim of this study was to create a preoperative prediction model predicting extraprostatic tumour growth in men with clinically organ-confined disease from a prospectively collected Swedish cohort.

As a single diagnostic modality, multiparametric MRI (mpMRI) has imperfect accuracy to detect locally advanced prostate cancer (T-stages 3-4). In this study we evaluate if combining mpMRI with preoperative nomograms (Memorial Sloan Kettering Cancer Center [MSKCC] and Partin) improves the prediction of locally advanced tumors.

Prostate cancer can be treated with several different modalities, including radiation treatment. Various prognostic tools have been developed to aid decision making by providing estimates of the probability of different outcomes.

During the 2019 coronavirus disease (COVID-19) pandemic, oncologists face new challenges, and they need to adjust their cancer management strategies as soon as possible to reduce the risk of SARS-CoV-2 infection and tumor recurrence.

To predict survival outcomes for individual patients with clinical T1 high-grade (T1HG) bladder cancer (BC), data from the Surveillance Epidemiology and End Results (SEER) database were analyzed in the present study.

BACKGROUND - The objective of the current study was to test generalizability and clinical value of a recently published nomogram to predict specimen-confined disease (SCD, pT2-pT3a+R0+pN0) at radical prostatectomy (RP) in patients with clinical high-risk prostate cancer (HRPCa). The nomogram allows improved decision making with curative intent within this heterogeneous patient cohort, which is important, as RP in patients with clinical HRPCa remains a topic of controversy.

Partin's nomogram is an important prognostic tool to predict adverse pathological features for clinically localized prostate carcinoma. This tool is widely used by both radiation and surgical oncologists for pre-intervention counseling, treatment planning, and predicting the possible need for adjuvant treatment.

BERKELEY, CA (UroToday.com) - The emergence of active surveillance as a viable management option for purported early stage prostate cancer is based on the hypothesis that insignificant or minimal cancer, despite lacking a universally accepted definition, is both common within any given population and is frequently detected by current diagnostic techniques.

To develop and validate a nomogram assessing cancer and all-cause mortality following radical cystectomy. Given concerns regarding the morbidity associated with surgery, there is a need for incorporation of cancer-specific and competing risks into patient counseling and recommendations.

The aim of this study was to identify the clinical predictors related to the risk of high-grade bladder cancer before first-time transurethral resection of the bladder tumor (TUR-Bt) and to externally validate the accuracy of Shapur's nomogram predicting the risk of high-grade bladder cancer in Japanese patients.

Based on unfavorable oncological and functional outcomes of non-organ-confined (NOC) prostate cancer (PCa), defined as ≥ pT3, pN1 or both, we aimed to develop a NOC prediction tool based on multiparametric MRI-guided targeted fusion biopsy (TBx).

The aim of this study was to analyze the discriminative capabilities of Briganti, Partin and Memorial Sloan Kettering Cancer Center (MSKCC) nomograms in predicting lymph-node invasion (LNI) and to perform a meta-analysis to yield pooled area under the receiver operating characteristics curves (AUCs) for model comparison.

The aim of this study is to evaluate the efficacy of two different Nara Urological Research and Treatment Group (NURTG) nomograms allocating 6-12 biopsy cores based on age and prostate volume.

From April 2006 to July 2014, a total of 1,605 patients who underwent initial prostate biopsy were enrolled.

To construct the newly valuable nomogram which can compare the predictive performance with American Joint Committee on Cancer (AJCC) staging system in bladder transitional cell carcinoma (BTCC).

BTCC patients were screened (2004-2015) from the SEER database.

Clear cell renal cell carcinoma (ccRCC) comprises the majority of kidney cancer death worldwide, whose incidence and mortality are not promising. Identifying ideal biomarkers to construct a more accurate prognostic model than conventional clinical parameters is crucial.

Objective: To create a nomogram to evaluate the risk of upper urinary tract damage (UUTD) in patients with neurogenic bladder (NGB) Methods: A retrospective analysis was conducted on 301 patients with NGB who were admitted to certain hospitals.

To improve the performation of a nomogram for predicting side-specific extracapsular extension (SS-ECE).

One hundred and ninety-six patients (55.5%) had ECE on final pathology. Bilateral and unilateral ECE rate was 13.

To create multivariable models with readily available clinicopathologic variables for predicting the prognosis of upper tract urothelial carcinomas (UTUC).

We retrospectively analyzed patients diagnosed as UTUC and underwent radical nephroureterectomy in 2 high volumes, tertiary care centers.

Prediction of lymph node invasion (LNI) after radical prostatectomy has been rarely assessed in robotically assisted laparoscopic radical prostatectomy (RALP) series. We aimed to develop and externally validate a pretreatment nomogram for the prediction of LNI following RALP in patients with high- and intermediate-risk prostate cancer.

Prediction of side-specific extraprostatic extension (EPE) is crucial in selecting patients for nerve-sparing radical prostatectomy (RP).

To develop and externally validate nomograms including multiparametric magnetic resonance imaging (mpMRI) information to predict side-specific EPE.

To develop and validate a preoperative nomogram to predict pathological locally advanced disease (pLAD) of clinically localized upper urinary tract urothelial carcinoma (UTUC) treated with extirpative surgery.

Prostate Health Index (PHI) is a new test for the detection of prostate cancer (PCa), which improves the performance of total PSA (tPSA) and is related to tumor aggressiveness. The aim of our study was to construct a nomogram based in a multivariate model incorporating PHI to estimate the individual probability of aggressive PCa.

A lack of consensus exists among national guidelines regarding who should be investigated for haematuria. Type of haematuria and age specific thresholds are frequently used to guide referral for investigation of haematuria.

To develop and validate a nomogram model to predict the occurrence of acute kidney disease (AKD) after nephrectomy.

A retrospective cohort including 378 patients with renal cell carcinoma (RCC) who had undergone radical or partial nephrectomy between March 2013 and December 2017 at the First Affiliated Hospital of Zhengzhou University was analyzed.

This study aims to develop and validate a nomogram to predict lymph node (LN) metastasis preoperatively in patients with T1 high-grade urothelial carcinoma.

We retrospectively evaluated the data of 2,689 patients with urothelial carcinoma of the bladder (UCB) treated with radical cystectomy (RC) and bilateral lymphadenectomy in two medical centers.

Heterogeneity of metastatic renal cell carcinoma (RCC) constraints accurate prognosis prediction of the tumor. We therefore aimed at developing a novel nomogram for accurate prediction of overall survival (OS) of patients with metastatic RCC.

Most patients with cystitis glandularis (CG) suffer from recurrence after primary treatment. Therefore, we performed this multicenter study to clarify the recurrent risk factors and constructed a predictive nomogram for the risk of recurrence.

For selected locally advanced prostate cancer (PCa) patients, radical prostatectomy (RP) is one of the first-line treatments. We aimed to develop a preoperative nomogram to identify what kinds of patients can get the most survival benefits after RP.