The problem: Single-incision surgery is a complex procedure in which any additional information automatically collected from the operating field can be of significance. While the use of robotic devices has greatly improved surgical outcomes, there are still many unresolved issues. One of the major surgical complications, with higher occurrence in cancer patients, is intraoperative hemorrhages, which if detected early, can be more efficiently controlled. Aim: This paper proposes a hazard detection system which incorporates the advantages of both Artificial Intelligence (AI) and Augmented Reality (AR) agents, capable of identifying, in real-time, intraoperative bleedings, which are subsequently displayed on a Hololens 2 device. Methods: The authors explored the different techniques for real-time processing and determined, based on a critical analysis, that YOLOv5 is one of the most promising solutions. An innovative, real-time, bleeding detection system, developed using the YOLOv5 algorithm and the Hololens 2 device, was evaluated on different surgical procedures and tested in multiple configurations to obtain the optimal prediction time and accuracy. Results: The detection system was able to identify the bleeding occurrence in multiple surgical procedures with a high rate of accuracy. Once detected, the area of interest was marked with a bounding box and displayed on the Hololens 2 device. During the tests, the system was able to differentiate between bleeding occurrence and intraoperative irrigation; thus, reducing the risk of false-negative and false-positive results. Conclusion: The current level of AI and AR technologies enables the development of real-time hazard detection systems as efficient assistance tools for surgeons, especially in high-risk interventions.

Leiomyosarcoma (LMS) of the inferior vena cava (IVC) is a rare malignant tumor, accounting for 2% of all LMSs. Less than 400 cases have been reported in literature. Computed tomography (CT) is the most accurate imaging method in assessing the location of the tumor within the IVC and magnetic resonance imaging (MRI) accurately identifies its extent and the potential for surgical resection. We present the case of a patient with inferior vena cava leiomyosarcoma (IVCL), for whom the pathological diagnosis was different from the initially expected one, the tumor appearance on pre-operative imaging mimicking renal cell carcinoma. The intraoperative difficulty of approaching renal hilum and IVC was a factor suggesting the vascular origin of the tumor, which was confirmed at pathological analysis. The extensive defect in the IVC after tumor excision led to the decision of complete transverse suturing of IVC, as significant collateral venous circulation was already present. Because IVCL is a rare disease, there is scarce data regarding the prognosis and treatment options. Long-term survival depends on the extent of the surgery. The need of vascular reconstruction is not always mandatory. Despite high recurrence rates, no consensus regarding adjuvant treatment exists yet. A multidisciplinary approach including surgical oncologists and vascular surgeons is mandatory to achieve the best patient outcomes. Perioperative planning, coordination and adherence to oncological techniques are critical.

Historically, immediate cytoreductive nephrectomy (CN) was considered the standard of care in patients with metastatic renal cell carcinoma (mRCC) who were fit enough to undergo surgery. Recently, 2 randomized controlled trials, SURTIME and CARMENA, have questioned the role of immediate CN and initiated an ongoing debate on the proper indications and timing of CN. Although some patients still benefit from immediate CN, other patients require immediate systemic treatment, and some of them might benefit from deferred CN in the absence of disease progression. This study provides an overview of the history of CN, an in-depth analysis of SURTIME and CARMENA, and highlights the current indications for performing immediate or deferred CN. Cite this article as: Van Praet C, Slots C, Vasdev N, Rottey S, Fonteyne V, Andras I, et al. Current role of cytoreductive nephrectomy in metastatic renal cell carcinoma. Turk J Urol 2020; 47(Supp. 1): S79-S84.

Nuclear grade is important for treatment selection and prognosis in patients with clear cell renal cell carcinoma (ccRCC). This study aimed to determine the ability of preoperative four-phase multiphasic multidetector computed tomography (MDCT)-based radiomics features to predict the WHO/ISUP nuclear grade. In all 102 patients with histologically confirmed ccRCC, the training set (n = 62) and validation set (n = 40) were randomly assigned. In both datasets, patients were categorized according to the WHO/ISUP grading system into low-grade ccRCC (grades 1 and 2) and high-grade ccRCC (grades 3 and 4). The feature selection process consisted of three steps, including least absolute shrinkage and selection operator (LASSO) regression analysis, and the radiomics scores were developed using 48 radiomics features (10 in the unenhanced phase, 17 in the corticomedullary (CM) phase, 14 in the nephrographic (NP) phase, and 7 in the excretory phase). The radiomics score (Rad-Score) derived from the CM phase achieved the best predictive ability, with a sensitivity, specificity, and an area under the curve (AUC) of 90.91%, 95.00%, and 0.97 in the training set. In the validation set, the Rad-Score derived from the NP phase achieved the best predictive ability, with a sensitivity, specificity, and an AUC of 72.73%, 85.30%, and 0.84. We constructed a complex model, adding the radiomics score for each of the phases to the clinicoradiological characteristics, and found significantly better performance in the discrimination of the nuclear grades of ccRCCs in all MDCT phases. The highest AUC of 0.99 (95% CI, 0.92–1.00, p < 0.0001) was demonstrated for the CM phase. Our results showed that the MDCT radiomics features may play a role as potential imaging biomarkers to preoperatively predict the WHO/ISUP grade of ccRCCs.

(1): Background: With the recent introduction of vesical imaging reporting and data system (VI-RADS), magnetic resonance imaging (MRI) has become the main imaging method used for the preoperative local staging of bladder cancer (BCa). However, the VI-RADS score is subject to interobserver variability and cannot provide information about tumor cellularity. These limitations may be overcome by using a quantitative approach, such as the new emerging domain of radiomics. (2) Aim: To systematically review published studies on the use of MRI-based radiomics in bladder cancer. (3) Materials and Methods: We performed literature research using the PubMed MEDLINE, Scopus, and Web of Science databases using PRISMA principles. A total of 1092 papers that addressed the use of radiomics for BC staging, grading, and treatment response were retrieved using the keywords “bladder cancer”, “magnetic resonance imaging”, “radiomics”, and “textural analysis”. (4) Results: 26 papers met the eligibility criteria and were included in the final review. The principal applications of radiomics were preoperative tumor staging (n = 13), preoperative prediction of tumor grade or molecular correlates (n = 9), and prediction of prognosis/response to neoadjuvant therapy (n = 4). Most of the developed radiomics models included second-order features mainly derived from filtered images. These models were validated in 16 studies. The average radiomics quality score was 11.7, ranging between 8.33% and 52.77%. (5) Conclusions: MRI-based radiomics holds promise as a quantitative imaging biomarker of BCa characterization and prognosis. However, there is still need for improving the standardization of image preprocessing, feature extraction, and external validation before applying radiomics models in the clinical setting.