Surgery lengthens survival for collecting duct carcinoma: analysis of hospital-based cancer registry data in Japan.

Background: To identify the prognosis of Japanese patients with collecting duct carcinoma (CDC).

Methods: We used a hospital-based cancer registry data in Japan to extract CDC cases that were diagnosed in 2013, histologically confirmed, and determined the first course of treatment. We further investigated treatment modalities and estimated overall survival (OS) by the Kaplan-Meier method.

The correlation between discrepancies in clinical and pathological T stages and overall survival in upper urinary tract urothelial carcinoma: Analysis of the hospital-based cancer registry data in Japan.

Objective: Our study assessed the correlation between discrepancies in clinical and pathological T stages and overall survival (OS) in patients with upper urinary tract urothelial carcinoma (UTUC), including renal pelvis (UCP) and ureter (UCU) carcinoma, treated with radical surgery.

Methods: We utilized data from the Japanese Hospital-Based Cancer Registry (HBCR) to identify UTUC cases (n = 2376), consisting of UCP cases (n = 1196) and UCU cases (n = 1180), diagnosed with cTa-3N0M0 between 2012 and 2013. All cases were histologically confirmed and treated solely with radical surgery, excluding any chemotherapy or radiotherapy.

Variations in the diagnostic performance of transurethral resection of bladder tumor with photodynamic diagnosis according to surgical experience: A retrospective, single-center study.

Background: To investigate variations in diagnostic performance of photodynamic diagnosis (PDD) according to surgical experience.

Methods: Data were extracted from patients having pT1 or lower primary tumors that underwent PDD-assisted transurethral resection of bladder tumors (TURBT) with orally 5-amibolevulinic acid at our institute. Surgical experience was categorized by urological experience (first-year and second-year) and PDD experience (<10, 10-19, and ≥20 cases).

Antiferromagnetic spin-torque diode effect in a kagome Weyl semimetal.

Spintronics based on ferromagnets has enabled the development of microwave oscillators and diodes. To achieve even faster operation, antiferromagnets hold great promise despite their challenging manipulation. So far, controlling antiferromagnetic order with microwave currents remains elusive.

Self-learning path integral hybrid Monte Carlo with mixed ab initio and machine learning potentials for modeling nuclear quantum effects in water.

The introduction of machine learned potentials (MLPs) has greatly expanded the space available for studying Nuclear Quantum Effects computationally with ab initio path integral (PI) accuracy, with the MLPs' promise of an accuracy comparable to that of ab initio at a fraction of the cost. One of the challenges in development of MLPs is the need for a large and diverse training set calculated by ab initio methods. This dataset should ideally cover the entire phase space, while not searching this space using ab initio methods, as this would be counterproductive and generally intractable with respect to computational time.