Current Problems in Surgery, Journal Year: 2023, Volume and Issue: 60(9), P. 101374 - 101374
Published: Aug. 6, 2023
Language: Английский
Journal of Multidisciplinary Healthcare, Journal Year: 2025, Volume and Issue: Volume 18, P. 421 - 433
Published: Jan. 1, 2025
This study aimed to explore the value of a radiomic nomogram based on contrast-enhanced computed tomography (CECT) for differentiating benign and malignant solid-containing renal masses. A total 122 patients with pathologically confirmed (n=47) or (n=75) masses were enrolled in this study. Radiomic features extracted from arterial, venous delayed phases further analysed by dimensionality reduction selection. Four mainstream machine learning algorithm training models, namely, support vector (SVM), k-nearest neighbour (kNN), light gradient boosting (LightGBM) logistic regression (LR), constructed determine best classifier model. Univariate multivariate analyses used clinical characteristics constructing The signatures integrated construct combined Receiver operating characteristic (ROC) curves area under curve (AUC) evaluate performance nomogram, signature, Thirteen selected development signature. Among various LR model demonstrated superior predictive efficiency robustness, yielding an AUC 0.952 cohort 0.887 test cohort. was 0.854 0.747 Furthermore, which incorporated sex, age, alcohol consumption history, exhibited excellent discriminative performance, 0.973 0.900 CECT offers promising noninvasive approach distinguishing solid tool can be guide treatment strategies effectively provide valuable insights clinicians.
Language: Английский
Citations
0
Annals of Medicine and Surgery, Journal Year: 2025, Volume and Issue: 87(5), P. 3016 - 3022
Published: April 3, 2025
Introduction and importance: Renal cell carcinoma (RCC) represents 90% of renal malignancies with rising global incidence. While the classic triad includes hematuria, flank pain, palpable masses, paraneoplastic hypercalcemia occurs in 17% cases indicates aggressive disease behavior. This case documents severe as initial manifestation metastatic RCC. Case presentation: A 64-year-old male presented malaise, bloating, weight loss. Laboratory evaluation revealed (15.1 mg/dL), suppressed parathyroid hormone (4.2 pg/mL), elevated hormone-related peptide (83 pg/mL). Imaging identified a 5.5 × 5.0 5.3 cm left mass metastases to lungs, brain, possibly bone. Biopsy confirmed clear-cell Management comprised hydration, zoledronic acid, combined immunotherapy (pembrolizumab/lenvatinib), palliative radiation for cerebral lesions. Clinical discussion: illustrates PTHrP-mediated humoral malignancy The pathophysiology differs from alternative mechanisms such calcitriol-mediated or cytokine-driven osteoclast activation. Diagnostic markers demonstrated pattern PTHrP elevation pg/mL) PTH suppression multimodal imaging protocol effectively delineated primary tumor dimensions, vascular invasion, burden. Treatment efficacy was objectively measured through serial calcium levels documented radiographic regression aligns recent data on combination (anti-PD-1) tyrosine kinase inhibition advanced RCC, supporting current therapeutic paradigms disease. Conclusion: Prompt recognition RCC facilitates timely intervention. demonstrates value comprehensive diagnostic multidisciplinary management combining supportive care targeted immunotherapy. Further prospective studies are needed optimize strategies patients presenting metabolic derangements suggestive underlying malignancy.
Language: Английский
Citations
0
PET Clinics, Journal Year: 2024, Volume and Issue: 19(2), P. 197 - 206
Published: Jan. 9, 2024
Language: Английский
Citations
3
Academic Radiology, Journal Year: 2024, Volume and Issue: 31(9), P. 3635 - 3646
Published: March 12, 2024
Language: Английский
Citations
3
Metabolites, Journal Year: 2024, Volume and Issue: 14(10), P. 546 - 546
Published: Oct. 13, 2024
Clear cell renal carcinoma (ccRCC) comprises the majority, approximately 70-80%, of cancer cases and often remains asymptomatic until incidentally detected during unrelated abdominal imaging or at advanced stages. Currently, standardized screening tests for are lacking, which presents challenges in disease management improving patient outcomes. This study aimed to identify ccRCC-specific volatile organic compounds (VOCs) urine ccRCC-positive patients develop a urinary VOC-based diagnostic model.
Language: Английский
Citations
3
European Urology, Journal Year: 2024, Volume and Issue: 87(1), P. 8 - 14
Published: Sept. 2, 2024
New spatial molecular technologies are poised to transform our understanding and treatment of urological cancers. By mapping the architecture tumours, these platforms uncover complex heterogeneity within around individual malignancies, offering novel insights into disease development, progression, diagnosis, treatment. They enable tracking clonal phylogenetics in situ immune-cell interactions tumour microenvironment. A whole transcriptome/genome/proteome-level analysis is hypothesis generating, particularly areas risk stratification precision medicine. Current challenges include reagent costs, harmonisation protocols, computational demands. Nonetheless, evolving landscape technology machine learning applications have potential overcome barriers, pushing towards a future personalised cancer therapy, leveraging detailed cellular data. Tumours contain many different components. Although we been able observe some differences visually under microscope, until recently, not genetic changes that underpin development. Scientists now explore molecular/genetic using approaches such as "spatial transcriptomics" proteomics", which allow them see variation across region normal cancerous tissue without destroying architecture. Currently, limited by high associated need for powerful workflows. Future advancements results through new may assist patients their doctors they make decisions about treating cancer.
Language: Английский
Citations
2
Frontiers in Oncology, Journal Year: 2023, Volume and Issue: 13
Published: April 28, 2023
Purpose To systematically evaluate the potential of radiomics coupled with machine-learning algorithms to improve predictive power for overall survival (OS) renal cell carcinoma (RCC). Methods A total 689 RCC patients (281 in training cohort, 225 validation cohort 1 and 183 2) who underwent preoperative contrast-enhanced CT surgical treatment were recruited from three independent databases one institution. 851 features screened using algorithm, including Random Forest Lasso-COX Regression, establish signature. The clinical nomogram built by multivariate COX regression. models further assessed Time-dependent receiver operator characteristic, concordance index, calibration curve, impact curve decision analysis. Result signature comprised 11 prognosis-related was significantly correlated OS two cohorts (Hazard Ratios: 2.718 (2.246,3.291)). Based on signature, WHOISUP, SSIGN, TNM Stage score, has been developed. Compared existing prognostic models, AUCs 5 years prediction superior TNM, WHOISUP SSIGN model (0.841 vs 0.734, 0.707, 0.644) cohort2 (0.917 0.773, 0.771). Stratification analysis suggested that sensitivity some drugs pathways cancer observed different high-and low-radiomics scores. Conclusion This study showed application CT-based patients, creating novel could be used predict OS. Radiomics provided incremental value improved power. might helpful clinicians benefit surgery or adjuvant therapy make individualized therapeutic regimens carcinoma.
Language: Английский
Citations
6
Translational Andrology and Urology, Journal Year: 2023, Volume and Issue: 12(7), P. 1184 - 1198
Published: July 1, 2023
Background and Objective: Nephron sparing surgery (NSS) is the preferred management for clinical stage T1 (cT1) renal masses. In recent years, indications have expanded to larger more complex tumors. an effort provide optimal patient outcomes, urologists strive achieve pentafecta when performing partial nephrectomy. This has led continuous technologic advancement technique refinement including use of augmented reality, ultrasound techniques, changes in surgical approach reconstruction, uses novel fluorescence marker guided imaging, implementation early recovery after (ERAS) protocols. The aim this narrative review overview advances pre-, intra-, post-operative approaches managing patients with masses undergoing NSS. Methods: We performed a non-systematic literature search PubMed MEDLINE most relevant articles pertaining outlined topics from 2010 2022 without limitation on study design. included only full-text English published peer-reviewed journals. Key Content Findings: Partial nephrectomy currently prioritized cT1a masses; however, been expanding due greater understanding anatomy advances. Recent studies demonstrated that improvements imaging techniques utilizing cross-sectional three-dimensional (3D) color doppler intraoperative ultrasound, newer emerging using contrast enhanced play important roles certain subsets patients. While indocyanine green administration commonly used, fluorescence-guided folate receptor-targeting molecules are being investigated better delineate tumor-parenchyma margins. Augmented reality developing role trainee education. pre-and intra-operative shown be promising, near infrared segmental sub-segmental vessel clamping yet show significant benefit outcomes. Studies regarding reconstructive replacement reconstruction sealing agents promising future. Finally, ERAS protocols allowed earlier discharge increasing complications while improving cost burden. Conclusions: Advances NSS ranged pre-operative Further prospective investigations required determine impact in-vivo biomarker use, achieving
Language: Английский
Citations
4
Cancers, Journal Year: 2024, Volume and Issue: 16(4), P. 829 - 829
Published: Feb. 19, 2024
Clear cell renal carcinoma (CCRCC), by far the most common cancer subtype, is an aggressive tumor variant, serving in recent years as a prolific test bench research [...]
Language: Английский
Citations
1
Heliyon, Journal Year: 2023, Volume and Issue: 9(2), P. e13543 - e13543
Published: Feb. 1, 2023
Arf GTPase-activating proteins are aberrantly expressed in a variety of tumors, but their role clear cell renal carcinoma (ccRCC) was unclear. Exploring the biological GAP with GTP binding protein like domain, Ankyrin repeat and PH domain 2 (AGAP2) ccRCC could improve our understanding on aggressiveness immune relevance ccRCC.The expression AGAP2 analyzed based Cancer Genome Atlas (TCGA) database verified samples using immunohistochemistry. The association between clinical cancer stages explored by TCGA dataset UALCAN. Gene Ontology (GO) Kyoto Encyclopedia Genes Genomes (KEGG) analysis were performed to analyze functions AGAP2-related genes. Moreover, relationship infiltration investigated TIME dataset.Compared normal tissues, upregulated tissues. Higher associated stages, TNM pathologic status. Prognostic showed that overexpression KIRC overall survival (OS) reduction (P = 0.019). However, higher may OS CESC 0.002), THYM 0.006) UCEC 0.049). GO KEGG genes related T activation, activity PD-L1 PD-1 checkpoint pathway. Furthermore, study significantly cells, Cytotoxic Treg, Th1 CD8 helper cells. And level affected abundance cells infiltration. infiltrating different high-expression low-expression groups.The than kidney It stage, poor prognosis, Therefore, become an important component for patients who receive precision therapy be promising prognostic biomarker.
Language: Английский
Citations
3