A long-term survival case of bladder cancer with distant metastases: abscopal effect of brain metastases after stereotactic radiotherapy with immune checkpoint blockade therapy to lung metastases.

Brain metastases from bladder cancer are rare, with a poor prognosis. There is no standard treatment for bladder cancer with brain metastases; thus, palliative therapy is generally provided. We report a case of abscopal effect in a single brain metastasis from bladder cancer in a patient treated with focal stereotactic radiotherapy (total dose = 52 Gy, administered in eight fractions) with immune checkpoint blockade therapy for lung metastases, who achieved long-term disease-free survival (> 4 years). To our knowledge, although there have been some reports on abscopal effects in bladder cancer, there are no previous reports on patients with brain metastases. To date, the brain metastasis, which showed an "abscopal effect," continues to maintain complete regression.

Cardiac magnetic resonance imaging T1 mapping and late gadolinium enhancement entropy: Prognostic value in patients with systemic sclerosis.

BACKGROUND: Systemic sclerosis (SSc) affects the myocardium, thereby resulting in a poor prognosis. Late gadolinium enhancement (LGE) entropy, derived from routine cardiac magnetic resonance (CMR) LGE images, is an index that reflects the complexity of the left ventricular myocardium. The aim of this study was to investigate whether LGE entropy can serve as a prognostic factor in patients with SSc. METHODS: Twenty-four patients with SSc, who underwent CMR-T1 mapping and LGE to identify myocardial damage, were enrolled, and LGE entropy was measured. Extracellular volume (ECV) values were calculated using the same CMR-LGE images. The endpoint was major adverse cardiac events (MACEs), comprising all-cause death, hospitalization due to heart failure, and the onset of sustained ventricular tachycardia and ventricular fibrillation. The ability to predict MACE was assessed using receiver operating characteristic (ROC) analysis, and the predictability of LGE entropy was analyzed using Kaplan-Meier analysis. RESULTS: The ROC curve analysis demonstrated a cut-off value of 7.39 for MACE with LGE entropy and had a sensitivity and specificity of 80 % and 79 %, respectively. Patients with LGE entropy ≥7.39 had a significantly higher MACE rate than those with LGE entropy <7.39 (p = 0.010). Moreover, LGE entropy ≥7.39 was a poor prognostic factor in patients without elevated ECV values. CONCLUSIONS: LGE entropy can be used to predict MACE and allows for further risk stratification in addition to ECV determination.