Surgical management of giant calcified thoracic disc herniation and the role of neuromonitoring. The outcome of large mono centric series

•Giant thoracic disc herniations (GTDH) are a subgroup of TDHs that show worse functional outcomes;•GTDHs typically present with a high amount of calcification;•The use of neuro-monitoring for the treatment of GTDH is essential to prevent complications.•The degree of calcification is associated with intra-operative reduced evoked potentials;•The approach has to be planned considering the calcification rate; Giant thoracic disc herniations (GTDH) are considered a subgroup of TDHs with worse functional outcomes, a high calcification rate, and a considerable risk of complications. We aimed to determine whether there is a relationship between the extent of calcification of GTDH and outcomes concerning the risk of complications, the surgical technique, and changes in neuromonitoring signals. We present a retrospective analysis of 76 patients undergoing surgery for calcific GTDH. We introduced and defined a radiological definition of the calcified disc into“fully calcified” and “partially calcified.” We performed a statistical analysis between clinical and radiological variables, type of surgical procedure, the extent of excision, neuro-monitoring signals, and outcome, comparing a group of 58 “fully-calcified TDH” patients and 18 “partially-calcified TDH” patients. Fully calcified TDHs, compared with partially calcified TDHs, do not have significant differences in outcome (worse outcome 4/58–6.9% versus 0/18, p = 0.25) and complications (10/58–17.24% versus 4/18–22.2%, p = 0.63); Fully calcified TDH is associated with a higher risk of alterations in neurophysiological potentials (14/58–24.1% versus 0/18, p = 0.02) and subtotal excision (18/58–31% versus 2/18–11%, p = 0.15), without significant differences between the approaches used. Fully calcified TDH group has a similar outcome and complication rate as the partially calcified TDH group, but they are associated with higher intraoperative neuromonitoring signal changes. We introduced a new classificationsystem that guides the approach and helps tocounsel the patients.