Stripping versus ligation of vas deferens in microscopic denervation of spermatic cord in men with chronic orchialgia: A multicenter study.

BACKGROUND: Microdenervation of the spermatic cord (MSCD) is an effective treatment modality for men with intractable scrotal content pain. For patients not interested in preserving fertility, some centers advocate ligation of the vas during denervation, while others prefer stripping of the vas deferens to preserve the vasal artery, hence preserving vasculature to the testis and possibly decreasing post-operative congestion pain. OBJECTIVE: To compare outcomes of patients with chronic orchialgia, who underwent MSCD by either stripping or ligating the vas deferens. MATERIALS AND METHODS: A retrospective chart review of 85 patients who underwent MSCD from 2017-2023 was performed. Patients' demographics including history of prior surgical procedures were recorded. Response to surgery was evaluated as either complete resolution of pain, partial resolution of pain, or no improvement in pain. RESULTS: Eighty-five patients underwent MSCD with a median (interquartile range, IQR) age of 36 (25.5-46.5) years and median duration of pain of 16 (6-31) months. Thirty-seven patients underwent stripping of vas, while 48 underwent ligation of vas during MSCD. Median follow up was 12 months. Twenty-one (43.5%) patients had prior inguinal scrotal surgery in the ligation group compared to 5 (13.5%) in the stripping group, p = 0.003. The etiology of pain was similar between the groups. The response to MSCD between the two groups was similar, 67.6% of patients who underwent stripping had complete resolution of pain versus 66.7% of those who had ligation (p = 0.968), with similar rates of post-operative complications (p-value = 0.132). CONCLUSIONS: In men with intractable chronic scrotal content pain with no interest in preserving fertility, ligation, or stripping of the vas deferens yields similar outcomes with regard to pain resolution. Both techniques are safe with no reports of any testicular atrophy.

Sexual dysfunction in male childhood cancer survivors and adolescent and young adult survivors of hematologic malignancies.

Sexual Health is an important aspect of overall health and quality of life (QoL) among adolescent and young adult (AYA) as well as childhood cancer survivors (CCS). Sexual health encompasses psychosocial, physical, developmental, emotional and relationship factors that impact sexual function. Cancer and its associated treatments are associated with negative effects on sexual health, body image, relationships, as well as overall physical and mental health. Data shows that CCS are known to experience diminished QoL compared to their peers. However, limited information is available to guide the assessment and treatment of sexual dysfunction in AYA and CCS. Further, exploration into specific cancer types, treatment methods and their resultant effects on sexual function within these populations is far more limited. We conducted an extensive review of the literature that focused on sexual dysfunction in male survivors of hematologic malignancies (HM). Our review identified an increased incidence of sexual dysfunction within male AYA and CCS of HM, and the negative impact this has on overall QoL. Our results show the degree to which survivors of HM experience increased sexual dysfunction, and the therapies and pathophysiologic mechanisms that may contribute to the development of sexual dysfunction within this population. These findings highlight the lack of research on this topic and need for further exploration into AYA and CCS sexual health to improve patient care and close the knowledge gaps to better assess and treat sexual dysfunction in this patient population.

Machine Learning and Artificial Intelligence in Surgical Fields.

Artificial intelligence (AI) and machine learning (ML) have the potential to improve multiple facets of medical practice, including diagnosis of disease, surgical training, clinical outcomes, and access to healthcare. There have been various applications of this technology to surgical fields. AI and ML have been used to evaluate a surgeon's technical skill. These technologies can detect instrument motion, recognize patterns in video recordings, and track the physical motion, eye movements, and cognitive function of the surgeon. These modalities also aid in the advancement of robotic surgical training. The da Vinci Standard Surgical System developed a recording and playback system to help trainees receive tactical feedback to acquire more precision when operating. ML has shown promise in recognizing and classifying complex patterns on diagnostic images and within pathologic tissue analysis. This allows for more accurate and efficient diagnosis and treatment. Artificial neural networks are able to analyze sets of symptoms in conjunction with labs, imaging, and exam findings to determine the likelihood of a diagnosis or outcome. Telemedicine is another use of ML and AI that uses technology such as voice recognition to deliver health care remotely. Limitations include the need for large data sets to program computers to create the algorithms. There is also the potential for misclassification of data points that do not follow the typical patterns learned by the machine. As more applications of AI and ML are developed for the surgical field, further studies are needed to determine feasibility, efficacy, and cost.