Correspondence. Reply to the Article “Gabig AM, Payne SH, Whitsett A, et al. Medium-Term Patient-Reported Outcomes after Surgical Management of Perilunate Injury: A Multi-Institutional Experience. J Wrist Surg. 2024;14(5):412–418. Published June 26, 2024. Doi: 10.1055/s-0044-1787179”

We read with great interest the article by Gabig et al,[1] who, through their multicenter study, investigated the potential benefit of additional procedures in the treatment of perilunate dislocations, such as carpal tunnel release, lunotriquetral ligament repair, and wrist denervation. However, they found no significant clinical difference between patients who underwent these procedures and those who did not.

This study is particularly noteworthy as it addresses a critical aspect of clinical practice: The surgical management of a rare injury associated with potentially severe functional impairments in daily life.[2]

In this context, it is worth considering whether integrating advanced diagnostic tools into the therapeutic flowchart for perilunate dislocations could improve the identification and selection of appropriate additional procedures. For example, computed tomography (CT) could provide a much more accurate lesion assessment compared to plain radiographs.[3]

Moreover, it would be interesting to explore how artificial intelligence (AI) could assist clinicians in refining lesion assessment and supporting decision-making. In fact, early studies have already demonstrated promising results in applying AI to the analysis of radiographs in the context of perilunate dislocations.[4]

In conclusion, while the findings by Gabig et al provide valuable insights into the current surgical approaches for perilunate dislocations, we believe that future research should further explore the integration of advanced imaging modalities and AI-based tools. These innovations hold the potential to enhance diagnostic accuracy and support more personalized treatment strategies, ultimately improving patient outcomes in the management of this complex injury.

Publikationsverlauf

Eingereicht: 07. Oktober 2025

Angenommen: 12. November 2025

Artikel online veröffentlicht:
28. November 2025

• References

• 1 Gabig AM, Payne SH, Whitsett A. et al. Medium-term patient-reported outcomes after surgical management of perilunate injury: A multiinstitutional experience. J Wrist Surg 2024; 14 (05) 412-418
• 2 Richardson MA, Margalit A, Rocks MC, Abola MV, De Tolla J, Azad A. Surgical outcomes in chronic perilunate dislocations: A systematic review. Hand Surg Rehabil 2025; 44 (04) 102212
• 3 Scalcione LR, Gimber LH, Ho AM, Johnston SS, Sheppard JE, Taljanovic MS. Spectrum of carpal dislocations and fracture-dislocations: Imaging and management. AJR Am J Roentgenol 2014; 203 (03) 541-550
• 4 Majzoubi N, Allègre R, Wemmert C, Liverneaux P. A deep learning-based algorithm for automatic detection of perilunate dislocation in frontal wrist radiographs. Hand Surg Rehabil 2024; 43 (04) 101742