Urologic Malignancies: Advances in the Analysis and Interpretation of Clinical Findings

Crocetto, Felice; Buonerba, Carlo; Caputo, Vincenzo; Ferro, Matteo; Persico, Francesco; Trama, Francesco; Iliano, Ester; Rapisarda, S.; Bada, Maida; Facchini, Gaetano; Verde, Antonio; Placido, Sabino De; Barone, Biagio

doi:10.2144/fsoa-2020-0210

Cited by 34 publications

(24 citation statements)

References 15 publications

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“…Globally, prostate cancer (PCa) is the most commonly diagnosed cancer in men and ranks among the top five cancers for both incidence and mortality ( 1 ). Interestingly, the 5-year survival rate is > 60% in localized PCa, while the remaining ≈ 5% in patients with distant metastasis ( 2 ). Intraductal carcinoma of the prostate (IDC-P), which was recently defined by the World Health Organization (WHO) in 2016, is a distinct clinicopathological entity characterized by malignant prostatic epithelial cells growing within preexisting ducts and/or acini.…”

Section: Introductionmentioning

confidence: 99%

Radiomic Machine Learning and External Validation Based on 3.0 T mpMRI for Prediction of Intraductal Carcinoma of Prostate With Different Proportion

Yang

et al. 2022

Front. Oncol.

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PurposeTo assess the association of radiomics features based on multiparametric MRI (mpMRI) with the proportion of intraductal carcinoma of prostate (IDC-P) and validate the predictive models.Materials and MethodsWe retrospectively included pre-treatment MR images of prostate cancer (PCa) with IDC components of high proportion (≥10%, hpIDC-P), low proportion (<10%, lpIDC-P), and pure acinar adenocarcinoma (PAC) from our institution for training and internal validation and cooperated cohort for external validation. Normalized images of T2WI, diffusion weighted imaging (DWI) and apparent diffusion coefficient (ADC) map, and dynamic contrast enhanced (DCE) sequences were used for radiomics modeling. The clinical model was built based on serum total prostate specific antigen (tPSA) and Gleason score (GS), and the integrated model was the combination of Rad-score and clinicopathological data. The discrimination ability was assessed by area under the receiver operating characteristic curve (ROC-AUC) in the internal and external validation sets and compared by DeLong test.ResultsOverall, 97 patients with hpIDC-P, 87 lpIDC-P, and 78 PAC were included for training and internal validation, and 11, 16, and 19 patients for external validation. The integrated model for predicting hpIDC-P got the best ROC-AUC of 0.88 (95%CI = 0.83-0.93) in internal and 0.86 (95%CI = 0.72-1.0) in external validation, which both outperformed clinical models (AUC=0.78, 95% CI = 0.72-0.85, AUC=0.69, 95% CI = 0.5-0.85, respectively) based solely on GS, and the radiomics model (AUC=0.85, 95% CI = 0.79-0.91) was slightly inferior to the integrated model and better than the clinical model in internal dataset. The integrated model for predicting lpIDC-P outperformed both radiomics and clinical models in the internal dataset, while slightly inferior to the integrated model for predicting hpIDC-P.ConclusionsRadiomics signature improved differentiation of both hpIDC-P and lpIDC-P versus PAC when compared with the clinical model based on Gleason score, and was validated in an external cohort.

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Section: Introductionmentioning

confidence: 99%

Radiomic Machine Learning and External Validation Based on 3.0 T mpMRI for Prediction of Intraductal Carcinoma of Prostate With Different Proportion

Yang

et al. 2022

Front. Oncol.

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“…With the improvement of clinical diagnosis technology and the enhancement of public awareness of physical examination, more and more RCC patients have been diagnosed in time. So far, even with the introduction of immunotherapy and targeted therapy, surgical treatment is still the most effective treatment method for clinical local RCC ( 20 – 23 ). With the development of minimally invasive technology, LRN is currently recognized as the standard surgical procedure for the treatment of RCC.…”

Section: Discussionmentioning

confidence: 99%

Enhanced Recovery After Surgery Protocol Optimizes Results and Cost of Laparoscopic Radical Nephrectomy

Chen

Yao

et al. 2022

Front. Oncol.

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PurposeTo assess the impact of enhanced recovery after surgery (ERAS) protocols in laparoscopic radical nephrectomy (LRN).MethodsThe clinical data of 89 patients underwent LRN in Zhongnan Hospital of Wuhan University from February 2019 to September 2021 were collected (40 in the ERAS group and 49 in the pre-ERAS group). The clinical characteristics, prognosis, and length of hospital stay (LOS) were compared between the two groups using t test, Mann-Whitney test, and chi-square test.ResultsTotal LOS and postoperative LOS were significantly shorter in ERAS group than in pre-ERAS group [15.0 (13.5-19.5) vs. 12.0 (10.0-14.0), P < 0.001; 8.0 (7.0-10.0) vs. 7.0 (5.0-8.8), P = 0.001]. Compared with the pre-ERAS group, the hospitalization expenses of the ERAS group were also lower (P = 0.023). In addition, the incidence of postoperative complications in the ERAS group also decreased (P = 0.054).ConclusionsERAS protocol in LRN could help accelerate the recovery of patients and is worthy of clinical promotion.

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“…Finally, the use of cancer-specific survival and local recurrence and distant metastases besides OS as other prognostic parameters during the analyses would have provided more clear inferences. Moreover, it would contribute to the research on cRCC therapies in the era of needing additional targeted therapies or predictors of current therapeutic algorithms for advanced cRCC ( 9 ). For instance, the programmed death-ligand 1 (PD-L1) protein, which exhibits prognostic value for various malignancies, had been investigated for its predictive value during the management of advanced RCC.…”

Section: Commentary and Discussionmentioning

confidence: 99%

“…For instance, the programmed death-ligand 1 (PD-L1) protein, which exhibits prognostic value for various malignancies, had been investigated for its predictive value during the management of advanced RCC. The results revealed significantly greater overall and complete response rates in PD-L1-positive versus PD-L1-negative patients [odds ratio (OR) = 1.84, 95% CI = 1.48–2.28; OR = 3.11, 95% CI = 2.04–4.75, respectively] ( 9 , 10 ). In this regard, in the near future, CDC6 expression will probably serve as a novel predictor in this subject.…”

Section: Commentary and Discussionmentioning

confidence: 99%

Commentary: Increased CDC6 Expression Associates With Poor Prognosis in Patients With Clear Cell Renal Cell Carcinoma

Temiz

2021

Front. Oncol.

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Urologic Malignancies: Advances in the Analysis and Interpretation of Clinical Findings

Cited by 34 publications

References 15 publications

Radiomic Machine Learning and External Validation Based on 3.0 T mpMRI for Prediction of Intraductal Carcinoma of Prostate With Different Proportion

Radiomic Machine Learning and External Validation Based on 3.0 T mpMRI for Prediction of Intraductal Carcinoma of Prostate With Different Proportion

Enhanced Recovery After Surgery Protocol Optimizes Results and Cost of Laparoscopic Radical Nephrectomy

Commentary: Increased CDC6 Expression Associates With Poor Prognosis in Patients With Clear Cell Renal Cell Carcinoma

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