Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male population. The diagnosis, the identification of aggressive disease, and the post-treatment follow-up needs a more ...comprehensive and holistic approach. Radiomics is the extraction and interpretation of images phenotypes in a quantitative manner. Radiomics may give an advantage through advancements in imaging modalities and through the potential power of artificial intelligence techniques by translating those features into clinical outcome prediction. This article gives an overview on the current evidence of methodology and reviews the available literature on radiomics in PCa patients, highlighting its potential for personalized treatment and future applications.
Renal cancer management is challenging from diagnosis to treatment and follow-up. In cases of small renal masses and cystic lesions the differential diagnosis of benign or malignant tissues has ...potential pitfalls when imaging or even renal biopsy is applied. The recent artificial intelligence, imaging techniques, and genomics advancements have the ability to help clinicians set the stratification risk, treatment selection, follow-up strategy, and prognosis of the disease. The combination of radiomics features and genomics data has achieved good results but is currently limited by the retrospective design and the small number of patients included in clinical trials. The road ahead for radiogenomics is open to new, well-designed prospective studies, with large cohorts of patients required to validate previously obtained results and enter clinical practice.
Radiomics and genomics represent two of the most promising fields of cancer research, designed to improve the risk stratification and disease management of patients with prostate cancer (PCa). ...Radiomics involves a conversion of imaging derivate quantitative features using manual or automated algorithms, enhancing existing data through mathematical analysis. This could increase the clinical value in PCa management. To extract features from imaging methods such as magnetic resonance imaging (MRI), the empiric nature of the analysis using machine learning and artificial intelligence could help make the best clinical decisions. Genomics information can be explained or decoded by radiomics. The development of methodologies can create more-efficient predictive models and can better characterize the molecular features of PCa. Additionally, the identification of new imaging biomarkers can overcome the known heterogeneity of PCa, by non-invasive radiological assessment of the whole specific organ. In the future, the validation of recent findings, in large, randomized cohorts of PCa patients, can establish the role of radiogenomics. Briefly, we aimed to review the current literature of highly quantitative and qualitative results from well-designed studies for the diagnoses, treatment, and follow-up of prostate cancer, based on radiomics, genomics and radiogenomics research.
Radiomics and artificial intelligence (AI) may increase the differentiation of benign from malignant kidney lesions, differentiation of angiomyolipoma (AML) from renal cell carcinoma (RCC), ...differentiation of oncocytoma from RCC, differentiation of different subtypes of RCC, to predict Fuhrman grade, to predict gene mutation through molecular biomarkers and to predict treatment response in metastatic RCC undergoing immunotherapy. Neural networks analyze imaging data. Statistical, geometrical, textural features derived are giving quantitative data of contour, internal heterogeneity and gray zone features of lesions. A comprehensive literature review was performed, until July 2022. Studies investigating the diagnostic value of radiomics in differentiation of renal lesions, grade prediction, gene alterations, molecular biomarkers and ongoing clinical trials have been analyzed. The application of AI and radiomics could lead to improved sensitivity, specificity, accuracy in detecting and differentiating between renal lesions. Standardization of scanner protocols will improve preoperative differentiation between benign, low-risk cancers and clinically significant renal cancers and holds the premises to enhance the diagnostic ability of imaging tools to characterize renal lesions.
Beyond PSA: The Role of Prostate Health Index (phi) Ferro, Matteo; De Cobelli, Ottavio; Lucarelli, Giuseppe ...
International journal of molecular sciences,
02/2020, Letnik:
21, Številka:
4
Journal Article
Recenzirano
Odprti dostop
Widespread use of prostate specific antigen (PSA) in screening procedures allowed early identification of an increasing number of prostate cancers (PCas), mainly including indolent cancer. ...Availability of different therapeutic strategies which have a very different impact on the patient's quality of life suggested a strong need for tools able to identify clinically significant cancer at diagnosis. Multi-parametric magnetic resonance showed very good performance in pre-biopsy diagnosis. However, it is an expensive tool and requires an experienced radiologist. In this context, a simple blood-based test is worth investigating. In this context, researchers focused their attention on the development of a laboratory test able to minimize overdiagnosis without losing the identification of aggressive tumors.
Recent literature data on PCa biomarkers revealed a clear tendency towards the use of panels of biomarkers or a combination of biomarkers and clinical variables. Phi, the 4Kscore, and Stockholm3 as circulating biomarkers and the Mi-prostate score, Exo DX Prostate, and Select MD-X as urinary biomarker-based tests have been developed. In this scenario, phi is worthy of attention as a noninvasive test significantly associated with aggressive PCa.
Literature data showed that phi had good diagnostic performance to identify clinically significant (cs) PCa, suggesting that it could be a useful tool for personalized treatment decision-making. In this review, phi potentialities, limitations, and comparisons with other blood- and urinary-based tests were explored.
The impact of resection technique on partial nephrectomy outcomes is controversial. The aim of this study was to evaluate the pattern of resection techniques during partial nephrectomy and the impact ...on perioperative outcomes, acute kidney injury, positive surgical margins and the achievement of the Trifecta (negative surgical margins, no perioperative Clavien-Dindo grade 2 or greater surgical complications and no postoperative acute kidney injury).
We prospectively collected data on consecutive patients with cT1-2N0M0 renal masses treated with partial nephrectomy at a total of 16 referral centers from September 2014 to March 2015. After partial nephrectomy the resection technique was classified by the surgeon as enucleation, enucleoresection or resection according to the SIB (Surface-Intermediate-Base) margin scores 0 to 2, 3 or 4 and 5, respectively. Multivariable logistic regression analysis was done to evaluate the potential impact of the resection technique on postoperative surgical complications, positive surgical margins, acute kidney injury and Trifecta achievement.
Overall 507 patients were included in analysis. The resection technique was classified as enucleation in 266 patients (52%), enucleoresection in 150 (30%) and resection in 91 (18%). The resection technique (enucleoresection vs enucleation and resection) was the only significant predictor of positive surgical margins. Tumor complexity, surgical approach (open and laparoscopic vs robotic) and resection technique (enucleoresection vs enucleation) were significant predictors of Clavien-Dindo grade 2 or greater surgical complications. The surgical approach (open and laparoscopic vs robotic), the resection technique (enucleoresection vs enucleation) and warm ischemia time were significantly associated with postoperative acute kidney injury and Trifecta achievement.
Resection techniques significantly impact surgical complications, early functional outcomes and positive surgical margins after partial nephrectomy of localized renal masses.
Abstract Purpose To evaluate the PSA response, local control, progression free survival (PFS) and toxicity of stereotactic body radiotherapy (SBRT) for nodal (LN) oligorecurrent prostate cancer. ...Material and Methods Between 05/2012 and 10/2015, 124 lesions were treated in 94 patients with a median dose of 24Gy/3 fractions. 70 patients were treated for a single lesion, 25 for >1 lesion. In 34 patients androgen deprivation (AD) was added to SBRT. We evaluated biochemical response with PSA dosage every three months after SBRT: a three months’ PSA decreased pre-SBRT PSA of more than 10% identified responder patient. In case of PSA increase, imaging was performed to evaluate clinical progression. Toxicity was assessed every 6-9 months after SBRT. Results Median follow-up was 18.5 months. In 13 patients (14%) grade 1-2 toxicity were reported without any grade 3-4. Biochemical response, stabilization and progression were observed in 64 (68%), 10 (11%) and 20 (21%) out of 94 evaluable patients. Clinical progression was observed in 31 (33%) patients after a median time of 8.1 months. In-field progression occurred in 12 lesions (9.7%). 2-year local control and PFS rates were 84% and 30%, respectively. Age>75years correlated with better biochemical response rate. Age>75years, concomitant AD administered up to 12 months and pelvic LN involvement correlated with longer PFS. Conclusions SBRT is safe and offers good in-field control. At two years after SBRT, 1 out of 3 patients is progression-free. Further investigation is warranted to identify patients that benefit most from SBRT and to define the optimal combination with AD.
We performed a systematic review of studies evaluating the impact of surgery for lower urinary tract symptoms suggestive of benign prostate enlargement (LUTS/BPE) on both erectile and ejaculatory ...functions. In June 2018, we searched for randomized controlled trials (RCTs) published between 1998 and 2018 in which both functions were assessed using questionnaires. Overall, 15 studies were identified. Pre-operatively, mean International Index of Erectile Function -5 (IIEF-5) and mean IIEF-Erectile Function (EF) scores ranged from 13.3 to 20.8, and from 13.7 to 22.3, respectively. At follow-up evaluations, mean IIEF-5 and mean IIEF-EF scores did not significantly vary (13.4 to 20.7 and 14.4 to 24.3, respectively). Mean baseline Male Sexual Health Questionnaire- Ejaculatory Disease function score at baseline and follow-up evaluations ranged from 8.7 to 10.6, and from 4.9 to 11.9, respectively. Ejaculatory function significantly worsened in three studies after transurethral resection of the prostate and significantly improved in 2 studies after prostate urethral lift implant. In conclusions, available RCTs evaluating both erectile and ejaculatory functions after surgical procedures for LUTS/BPE fail to demonstrate significant variations in terms of erectile function scores while providing significant variations of ejaculatory function scores that are heterogeneous depending on the procedure adopted.
Many efforts to reduce prostate specific antigen (PSA) overdiagnosis and overtreatment have been made. To this aim, Prostate Health Index (Phi) and Prostate Cancer Antigen 3 (PCA3) have been proposed ...as new more specific biomarkers. We evaluated the ability of phi and PCA3 to identify prostate cancer (PCa) at initial prostate biopsy in men with total PSA range of 2-10 ng/ml. The performance of phi and PCA3 were evaluated in 300 patients undergoing first prostate biopsy. ROC curve analyses tested the accuracy (AUC) of phi and PCA3 in predicting PCa. Decision curve analyses (DCA) were used to compare the clinical benefit of the two biomarkers. We found that the AUC value of phi (0.77) was comparable to those of %p2PSA (0.76) and PCA3 (0.73) with no significant differences in pairwise comparison (%p2PSA vs phi p = 0.673, %p2PSA vs. PCA3 p = 0.417 and phi vs. PCA3 p = 0.247). These three biomarkers significantly outperformed fPSA (AUC = 0.60), % fPSA (AUC = 0.62) and p2PSA (AUC = 0.63). At DCA, phi and PCA3 exhibited a very close net benefit profile until the threshold probability of 25%, then phi index showed higher net benefit than PCA3. Multivariable analysis showed that the addition of phi and PCA3 to the base multivariable model (age, PSA, %fPSA, DRE, prostate volume) increased predictive accuracy, whereas no model improved single biomarker performance. Finally we showed that subjects with active surveillance (AS) compatible cancer had significantly lower phi and PCA3 values (p<0.001 and p = 0.01, respectively). In conclusion, both phi and PCA3 comparably increase the accuracy in predicting the presence of PCa in total PSA range 2-10 ng/ml at initial biopsy, outperforming currently used %fPSA.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Introduction:
Radical cystectomy (RC) is the gold standard treatment for patients with muscle-invasive or refractory non-muscle invasive bladder cancer. It is estimated that approximately 64% and 13% ...of RC patients experience any complication and major complications, respectively. Specialized immunonutrition (SIM) aims to reduce the rates of complications after RC. We reported surgical complication rates in RC patients who received (SIM group) versus who did not receive (no-SIM group) perioperative SIM. Moreover, we investigated factors associated with complications after RC.
Material and Methods:
This is a retrospective cohort study of 52 patients who underwent RC between April 2016 and December 2017. Overall, 26 (50%) patients received perioperative SIM. We recorded age, gender, Charlson Comorbidity Index (CCI), body mass index (BMI), Malnutrition Universal Screening Tool (MUST) score, unintentional weight loss (UWL), SIM drinks consume, surgical approach, urinary diversion, neoadjuvant chemotherapy (NAC), use of total parenteral nutrition (TPN), final pathology, length of stay (LOS), and complications.
Results:
SIM was associated with higher rates of documented infections (P = .03). Conversely, post-operative ileus was associated with higher rates of overall infections (P = .03). Median LOS was comparable within the 2 groups. Overall, 4 (15.38%) versus 0 (0%) patients in SIM versus no-SIM group were readmitted to hospital (P = .03). Age, CCI, NAC, and TPN were not associated with complication rates.
Conclusions:
SIM is not associated with lower rates of post-operative complications in RC candidates. Moreover, higher rates of documented infections were observed in the SIM group. Patients with post-operative ileus experienced more infections. Age, CCI, NAC, and TPN were not predictive of complications.
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