MRI-based detection of cervical ossification of the posterior longitudinal ligament using a novel automated machine learning diagnostic tool.

Objective: Currently, CT is considered the gold standard for the diagnosis of ossification of the posterior longitudinal ligament (OPLL). The objective of this study was to develop artificial intelligence (AI) software and a validated model for the identification and representation of cervical OPLL (C-OPLL) on MRI, obviating the need for spine CT.

Methods: A retrospective evaluation was performed of consecutive imaging studies of all adult patients who underwent both cervical CT and MRI for any clinical indication within a span of 36 months (between January 2017 and July 2020) in a single tertiary-care referral hospital.

Vicarious growth among social work students: What makes the difference?

This study examined the contribution of background variables, personal factors (professional commitment) and environmental factors (peer support and supervision) to social work students' vicarious growth as an implication of their field practicums with trauma victims. Special emphasis was placed on examining the role of secondary traumatisation in the growth process. The sample consisted of 259 social work students at three social work schools in Israel.