Citations

The NCCN Guidelines for Testicular Cancer provide recommendations for the multidisciplinary approach to the diagnostic workup, treatment, and follow-up for testicular germ cell tumors, including both seminoma and nonseminoma. These NCCN Guidelines Insights discuss the current treatment recommendations and supporting clinical data for seminomas as presented in Version 2.2025 of the NCCN Guidelines for Testicular Cancer.

Purpose Venetoclax-based treatment for chronic lymphocytic leukemia (CLL) can be a logistically burdensome regimen due to extensive required monitoring of tumor lysis syndrome (TLS). The purpose of this study was to evaluate the feasibility and safety of pharmacist and registered nurse (RN) driven management of venetoclax ramp-up in CLL. Methods This was a prospective, pilot program for patients receiving venetoclax-based therapy for CLL. Patients had nine weekly visits during the first three cycles of therapy, of which five visits were independently performed by a pharmacist or RN. Laboratory tests to evaluate TLS were ordered and monitored independently by the RN in collaboration with clinicians (physician, nurse practitioner, physician assistant). Results Thirty CLL patients, median age 67 years, 73% treated in the frontline setting, started venetoclax between May 2022 and January 2023. After the initial three weeks of obinutuzumab treatment, TLS risk prior to venetoclax initiation had improved to low (93%), medium (3%), and high (3%). There was zero incidence of laboratory or clinical TLS by Howard criteria during the venetoclax ramp-up for all patients. Pharmacist and RNs performed 139 independent visits and monitored 197 sets of TLS labs. Conclusion Use of independent pharmacist and RN visits for toxicity checks and TLS monitoring during weekly venetoclax dose ramp-up did not lead to increased incidence of TLS in patients with CLL. These visits increased both access and efficiency within the CLL clinic. This concept has the potential to be applied in other cancer care settings with a variety of treatment regimens.

Background/Objectives: Pediatric rhabdomyosarcoma is a rare and poorly understood disease. Patients and parents can have varying experiences including barriers to care, time to treatment, and treatments offered. Here, we report on patient experiences regarding their care of pediatric rhabdomyosarcoma. Methods: Two separate online parent support groups were invited to participate in a survey. The survey included questions that sought to collect patient demographics, history of rhabdomyosarcoma, treatment timelines, and barriers to care. Results: A total of 215 surveys were completed. The average time from diagnosis to treatment was 12 days (SD = 14). Only 26% were offered fertility preservation prior to treatment. For patients with recurrence, an average of 75 days passed between detection of recurrence and treatment re-initiation. Patients traveled to centers with a dedicated sarcoma program in 52% of the cases. A total of 42% of parents sought a second opinion. Of those, the majority had to wait between one week and one month to be seen by another expert. Conclusions: The data collected from the survey suggests there are several opportunities to improve care among patients with pediatric rhabdomyosarcoma. Many patients may benefit from more efficient rhabdomyosarcoma referral networks, delivering patients to experts who can quickly begin multidisciplinary treatment.

Abstract Background and Aims Classification and risk stratification in aortic (AR), mitral (MR), and tricuspid regurgitation (TR) remains a significant clinical challenge. This study aimed to develop an artificial intelligence (AI) system to assess valvular regurgitation and stratify MR-progression risk. Methods Using transthoracic echocardiograms (TTEs) at two sites (internal development/test, external test), the DELINEATE-Regurgitation system was developed to classify AR, MR, and TR severity using colour Doppler videos. Methods of summating video-level classifications into study-level predictions were tested, comparing single-view with multiview approaches integrating predictions across multiple videos. Model agreement with cardiologists was assessed by weighted kappa. A separate AI system (DELINEATE-MR-Progression) analysing colour Doppler videos was developed to predict which patients with mild, mild–moderate, and moderate MR were most likely to progress to moderate–severe or severe MR with analysis by Kaplan–Meier and Cox proportional hazards models. Results A total of 71 660 TTEs with 1 203 980 colour Doppler videos were included. The weighted kappa in internal/external test sets for regurgitation classification was 0.81/0.76 for AR, 0.76/0.72 for MR, and 0.73/0.64 for TR using a multiview approach taking all colour Doppler videos in a study, demonstrating substantial agreement with cardiologist interpretation with superiority of multiview over single view approaches. In the progression analysis, the AI score stratified MR-progression risk even when controlled for clinical factors known to be associated with MR progression [internal test set hazard ratio 4.1 (95% confidence interval 2.5–6.6)]. Conclusions An AI system can accurately classify AR, MR, and TR and predict MR progression beyond currently known risk factors.