Strong PSMA Radioligand Uptake by Rectal Carcinoma: Who Put the "S" in PSMA?

We present a case of a 71-year-old patient with newly diagnosed rectal adenocarcinoma and hepatic metastases. Restaging after chemotherapy revealed a good response of the rectal primary while liver metastases were progressive. As the patient also had a history of prostate cancer, a Ga-PSMA-HBED-CC PET/CT scan was performed to noninvasively further assess hepatic metastases.

Prediction of specific pathogens in patients with sepsis: evaluation of TREAT, a computerized decision support system.

Background: Prediction of bacterial infections and their pathogens allows for early, directed investigation and treatment. We assessed the ability of TREAT, a computerized decision support system, to predict specific pathogens.

Methods: TREAT uses data available within the first few hours of infection presentation in a causal probabilistic network to predict sites of infection and specific pathogens.

Benefit of appropriate empirical antibiotic treatment: thirty-day mortality and duration of hospital stay.

Purpose: We evaluated the effect of inappropriate antibiotic treatment on mortality and duration of hospital stay in medical inpatients with bacterial infections.

Subjects And Methods: Two cohorts of febrile adult patients (excluding patients with acquired immune deficiency syndrome and organ transplant recipients), hospitalized in three medical centers in Israel, Italy, and Germany, were included. Patients' data were collected prospectively.

Improving empirical antibiotic treatment using TREAT, a computerized decision support system: cluster randomized trial.

Background: Appropriate antibiotic treatment decreases mortality, while superfluous treatment is associated with antibiotic resistance. We built a computerized decision support system for antibiotic treatment (TREAT) targeting these outcomes.

Methods: Prospective cohort study comparing TREAT's advice to physician's treatment followed by a cluster randomized trial comparing wards using TREAT (intervention) versus antibiotic monitoring without TREAT (control).

Prediction of bacteremia using TREAT, a computerized decision-support system.

Background: Prediction of bloodstream infection at the time of sepsis onset allows one to make appropriate and economical management decisions.

Methods: The TREAT computerized decision-support system uses a causal probabilistic network, which is locally calibrated, to predict cases of bacteremia. We assessed the system's performance in 2 independent cohorts that included patients with suspected sepsis.