The relationship between hematologic malignancies on male hypogonadism: a scoping review.

INTRODUCTION: The associated symptoms of hypogonadism have been reported in patients with various types of cancer. However, the prevalence and significance of hypogonadism among certain hematologic malignancies have not been completely summarized in recent literature. OBJECTIVE: In this review we aimed to examine the current literature on hypogonadism in patients with hematologic malignancies, with emphasis on leukemias, lymphomas, and multiple myeloma (MM). METHODS: This review included relevant studies published before July 2023 that were retrieved through a search of PubMed using the keywords "hematologic cancer," "hematologic malignancy," blood cancer," "leukemia," "lymphoma," "hypogonadism," "multiple myeloma," and "testosterone." RESULTS: The search yielded 214 studies, of which 21 met the inclusion criteria. Commonly reported findings were that patients who had received hematopoietic stem cell therapy for acute lymphoblastic leukemia and acute myelogenous leukemia as children had laboratory-confirmed hypogonadism as adults. However, the impact of these diseases on hypogonadal symptoms was variable in these studies.Studies reporting on lymphoma and hypogonadism had mixed results, with some studies finding that the degree of cytotoxic chemotherapy was associated with hypogonadism, while others showed no correlation. Regardless, multiple studies found that hypogonadism secondary to lymphoma treatment and symptoms of hypogonadism had no apparent association.The most comprehensive assessment of the frequency of hypogonadism in an MM cohort found that 74% of 561 MM patients were classified as hypogonadal compared to 33% of patients in a control population. Testosterone supplementation was found to lower interleukin-6 levels, which could potentially help manage some of the adverse effects of MM, including decreased bone mineral density. CONCLUSION: There is a relationship between hematologic malignancies and hypogonadism, which is likely multifactorial. In this review we established that the most plausible factors are related to the secondary effects of gonadotoxic treatments and/or systemic inflammatory responses to the diseases.

Maximizing outcomes in penile prosthetic surgery: exploring strategies to prevent and manage infectious and non-infectious complications.

Inflatable Penile Prostheses (IPP) implantation is a surgical treatment for patients desiring definitive treatment for erectile dysfunction. While this procedure has proven to be effective, it also carries its own set of unique risks that need to be carefully considered. The article reviews the current understanding of complications associated with penile prosthetic surgery and provides strategies to mitigate these adverse events. This article covers various aspects of IPP implantation, including the risks of infection, bleeding, injury to nearby structures, glans ischemia, and device malfunction. It also discusses the importance of careful preoperative screening to identify risk factors and the implementation of infection reduction strategies such as antimicrobial prophylaxis, skin prep, and operative techniques. In addition, it emphasizes the need for postoperative vigilance and prompt management of any complications that may arise. Overall, the article provides a comprehensive overview of the risks and strategies for mitigating complications associated with IPP implantation. Our recommendations are given based on the current consensus in the field and highlight the importance of careful planning, attention to detail, and effective communication between healthcare providers and patients. Despite the potential risks, this review underscores the fact that complications following penile prosthesis implantation are relatively rare.

Is Artificial Intelligence Replacing Our Radiology Stars? Not Yet!

Artificial intelligence (AI) is here to stay and will change health care as we know it. The availability of big data and the increasing numbers of AI algorithms approved by the US Food and Drug Administration together will help in improving the quality of care for patients and in overcoming human fatigue barriers. In oncology practice, patients and providers rely on the interpretation of radiologists when making clinical decisions; however, there is considerable variability among readers, and in particular for prostate imaging. AI represents an emerging solution to this problem, for which it can provide a much-needed form of standardization. The diagnostic performance of AI alone in comparison to a combination of an AI framework and radiologist assessment for evaluation of prostate imaging has yet to be explored. Here, we compare the performance of radiologists alone versus a combination of radiologists aided by a modern computer-aided diagnosis (CAD) AI system. We show that the radiologist-CAD combination demonstrates superior sensitivity and specificity in comparison to both radiologists alone and AI alone. Our findings demonstrate that a radiologist + AI combination could perform best for detection of prostate cancer lesions. A hybrid technology-human system could leverage the benefits of AI in improving radiologist performance while also reducing physician workload, minimizing burnout, and enhancing the quality of patient care. Patient summary: Our report demonstrates the potential of artificial intelligence (AI) for improving the interpretation of prostate scans. A combination of AI and evaluation by a radiologist has the best performance in determining the severity of prostate cancer. A hybrid system that uses both AI and radiologists could maximize the quality of care for patients while reducing physician workload and burnout.

Impact of Patient, Surgical, and Perioperative Factors on Discharge Disposition after Radical Cystectomy.

Radical cystectomy (RC) is a complex procedure associated with lengthy hospital stays and high complication and readmission rates. We evaluated the impact of patient, surgical, and perioperative factors on discharge disposition following RC at a tertiary referral center. From 2012 to 2019, all bladder cancer patients undergoing RC at our institution were identified (n = 1153). Patients were classified based on discharge disposition: to home or to continued facility-based rehabilitation centers (CFRs, n = 180 (15.61%) patients). On multivariate analysis of patient factors only, age [Risk Ratio (RR): 1.07, p < 0.001)], single marital status (RR: 1.09, p < 0.001), and living alone prior to surgery (RR: 2.55, p = 0.004) were significant predictors of discharge to CFRs. Multivariate analysis of patient, surgical, and perioperative factors indicated age (RR: 1.09, p < 0.001), single marital status (RR: 3.9, p < 0.001), living alone prior to surgery (RR: 2.42, p = 0.01), and major post-operative (Clavien > 3) complications (RR: 3.44, p < 0.001) were significant independent predictors of discharge to CFRs. Of note, ERAS did not significantly impact discharge disposition. Specific patient and perioperative factors significantly impact discharge disposition. Patients who are older, living alone prior to surgery, and/or have a major post-operative complication are more likely to be discharged to CFRs after RC.

Hyperandrogenism and Hyperestrogenism Secondary to Mixed Germ-Cell Testicular Tumor.

Testicular cancer with androgen and estrogen secretion is classically associated with Leydig cell tumors. Rare case reports have described this finding in germ-cell tumors along with signs of androgen and estrogen excess including gynecomastia and infertility. We report the case of a 19-year-old male with a non-seminomatous testicular germ-cell tumor found to have hyperandrogenism, hyperestrogenism, and suppression of central sex hormones. Similar findings may be underreported in the literature, and males with suspected testicular malignancy should be appropriately screened for signs of androgen and/or estrogen excess so they can be offered appropriate monitoring and counseling.

Association of Suturing Technical Skill Assessment Scores Between Virtual Reality Simulation and Live Surgery.

Introduction: Robotic surgical performance, in particular suturing, has been linked to postoperative clinical outcomes. Before attempting live surgery, virtual reality (VR) simulators afford opportunities for training surgeons to learn fundamental technical skills. Herein, we evaluate the association of suturing technical skill assessments between VR simulation and live surgery, and functional clinical outcomes. Materials and Methods: Twenty surgeons completed a VR suturing exercise on the Mimic™ Flex VR simulator and the anterior vesicourethral anastomosis during robot-assisted radical prostatectomy (RARP). Three independent and blinded graders provided technical skill scores using a validated assessment tool. Correlations between VR and live scores were assessed by Spearman's correlation coefficients (ρ). In addition, 117 historic RARP cases from participating surgeons were extracted, and the association between VR technical skill scores and urinary continence recovery was assessed by a multilevel mixed-effects model. Results: A total of 20 (6 training and 14 expert) surgeons participated. Statistically significant correlations for scores provided between VR simulation and live surgery were found for overall and needle driving scores (ρ = 0.555, p = 0.011; ρ = 0.570, p = 0.009, respectively). A subanalysis performed on training surgeons found significant correlations for overall scores between VR simulation and live surgery (ρ = 0.828, p = 0.042). Expert cases with high VR needle driving scores had significantly greater continence recovery rates at 24 months after RARP (98.5% vs 84.9%, p = 0.028). Conclusions: Our study found significant correlations in technical scores between VR and live surgery, especially among training surgeons. In addition, we found that VR needle driving scores were associated with continence recovery after RARP. Our data support the association of skill assessments between VR simulation and live surgery and potential implications for clinical outcomes.

Road to automating robotic suturing skills assessment: Battling mislabeling of the ground truth.

OBJECTIVE: To automate surgeon skills evaluation using robotic instrument kinematic data. Additionally, to implement an unsupervised mislabeling detection algorithm to identify potentially mislabeled samples that can be removed to improve model performance. METHODS: Video recordings and instrument kinematic data were derived from suturing exercises completed on the Mimic FlexVR robotic simulator. A structured human consensus-building process was developed to determine Robotic Anastomosis Competency Evaluation technical scores across 3 human graders. A 2-layer long short-term memory-based classification model used instrument kinematic data to automate suturing skills assessment. An unsupervised label analyzer (NoiseRank) was used to identify potential mislabeling of skills data. Performance of the long short-term memory model's technical skill score prediction was measured by best area under the curve over the training runs. NoiseRank outputted a ranked list of rated skills assessments based on likelihood of mislabeling. RESULTS: 22 surgeons performed 226 suturing attempts, which were broken down into 1,404 individual skill assessment points. Automation of needle entry angle, needle driving, and needle withdrawal technical skill scores performed better (area under the curve 0.698-0.705) than needle positioning (0.532) at baseline using all available data. Potential mislabels were subsequently identified by NoiseRank and removed, improving model performance across all domains (area under the curve 0.551-0.766). CONCLUSION: Using ground truth labels from human graders and robotic instrument kinematic data, machine learning models have automated assessment of detailed suturing technical skills with good performance. Further, an unsupervised mislabeling detection algorithm projected mislabeled data, allowing for their removal and subsequent improvement of model performance.

Survival Analysis Using Surgeon Skill Metrics and Patient Factors to Predict Urinary Continence Recovery After Robot-assisted Radical Prostatectomy.

BACKGROUND: It has been shown that metrics recorded for instrument kinematics during robotic surgery can predict urinary continence outcomes. OBJECTIVE: To evaluate the contributions of patient and treatment factors, surgeon efficiency metrics, and surgeon technical skill scores, especially for vesicourethral anastomosis (VUA), to models predicting urinary continence recovery following robot-assisted radical prostatectomy (RARP). DESIGN, SETTING, AND PARTICIPANTS: Automated performance metrics (APMs; instrument kinematics and system events) and patient data were collected for RARPs performed from July 2016 to December 2017. Robotic Anastomosis Competency Evaluation (RACE) scores during VUA were manually evaluated. Training datasets included: (1) patient factors; (2) summarized APMs (reported over RARP steps); (3) detailed APMs (reported over suturing phases of VUA); and (4) technical skills (RACE). Feature selection was used to compress the dimensionality of the inputs. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The study outcome was urinary continence recovery, defined as use of 0 or 1 safety pads per day. Two predictive models (Cox proportional hazards [CoxPH] and deep learning survival analysis [DeepSurv]) were used. RESULTS AND LIMITATIONS: Of 115 patients undergoing RARP, 89 (77.4%) recovered their urinary continence and the median recovery time was 166 d (interquartile range [IQR] 82-337). VUAs were performed by 23 surgeons. The median RACE score was 28/30 (IQR 27-29). Among the individual datasets, technical skills (RACE) produced the best models (C index: CoxPH 0.695, DeepSurv: 0.708). Among summary APMs, posterior/anterior VUA yielded superior model performance over other RARP steps (C index 0.543-0.592). Among detailed APMs, metrics for needle driving yielded top-performing models (C index 0.614-0.655) over other suturing phases. DeepSurv models consistently outperformed CoxPH; both approaches performed best when provided with all the datasets. Limitations include feature selection, which may have excluded relevant information but prevented overfitting. CONCLUSIONS: Technical skills and "needle driving" APMs during VUA were most contributory. The best-performing model used synergistic data from all datasets. PATIENT SUMMARY: One of the steps in robot-assisted surgical removal of the prostate involves joining the bladder to the urethra. Detailed information on surgeon performance for this step improved the accuracy of predicting recovery of urinary continence among men undergoing this operation for prostate cancer.

Technical Skill Impacts the Success of Sequential Robotic Suturing Substeps.

Introduction: Robotic surgical performance, in particular suturing, has been associated with postoperative clinical outcomes. Suturing can be deconstructed into substep components (needle positioning, needle entry angle, needle driving, and needle withdrawal) allowing for the provision of more specific feedback while teaching suturing and more precision when evaluating suturing technical skill and prediction of clinical outcomes. This study evaluates if the technical skill required for particular substeps of the suturing process is associated with the execution of subsequent substeps in terms of technical skill, accuracy, and efficiency. Materials and Methods: Training and expert surgeons completed standardized sutures on the Mimic™ Flex virtual reality robotic simulator. Video recordings were deidentified, time annotated, and provided technical skill scores for each of the four suturing substeps. Hierarchical Poisson regression with generalized estimating equation was used to examine the association of technical skill rating categories between substeps. Results: Twenty-two surgeons completed 428 suturing attempts with 1669 individual technical skill assessments made. Technical skill scores between substeps of the suturing process were found to be significantly associated. When needle positioning was ideal, needle entry angle was associated with a significantly greater chance of being ideal (risk ratio [RR] = 1.12, p = 0.05). In addition, ideal needle entry angle and needle driving technical skill scores were each significantly associated with ideal needle withdrawal technical skill scores (RR = 1.27, p = 0.03; RR = 1.3, p = 0.03, respectively). Our study determined that ideal technical skill was associated with increased accuracy and efficiency of select substeps. Conclusions: Our study found significant associations in the technical skill required for completing substeps of suturing, demonstrating inter-relationships within the suturing process. Together with the known association between technical skill and clinical outcomes, training surgeons should focus on mastering not just the overall suturing process, but also each substep involved. Future machine learning efforts can better evaluate suturing, knowing that these inter-relationships exist.