Autofluorescence base point spectroscopy - immune colloidal gold technique guided identification and selective removal of non-hyperplastic ectopic parathyroid tissues during secondary hyperparathyroidism surgery: a retrospective cohort study
Year: 2025
Type: article
Abstract: BACKGROUND: To evaluate the clinical utility of autofluorescence base point spectroscopy (AFBPS) combined with the immune colloidal gold technique (ICGT) for intraoperative identification and selective removal of non-hyperplastic ectopic parathyroid tissues (EPTs) in secondary hyperparathyroidism (SHPT). METHODS: This retrospective study included 100 SHPT patients who underwent surgery and were assigned to three groups: Group 1 received conventional total parathyroidectomy (TPTX) without EPTs localization; Group 2 underwent AFBPS-ICGT-guided selective resection; Group 3 received bilateral extended central neck dissection regardless of AFBPS-ICGT results. AFBPS was used to detect autofluorescence targets within central neck fibro-adipose tissues. Suspicious sites were validated by ICGT, and resection was guided accordingly. RESULTS: Surgical success was achieved in all patients. EPTs were more frequently identified in Groups 2 and 3 than Group 1 (P < 0.05). AFBPS-ICGT achieved EPTs identification accuracies of 100% and 85.7% in Groups 2 and 3, while AFBPS alone reached 71.4% and 66.7%, respectively. ROC analysis showed base point intensity and spectral peak were strong predictors (AUCs: 0.96, 0.92; cut-offs: 172, 1092 AU). At 6 months, Group 1 had higher PTH, phosphate, and ALP levels (P < 0.01) and a higher recurrence rate (26.7%) than Groups 2 (5.0%) and 3 (3.3%) (P < 0.01). Refractory hypocalcemia was more frequent in Group 3 (P < 0.05). CONCLUSION: AFBPS-ICGT enables accurate intraoperative detection and removal of EPTs, minimizing recurrence and reducing unnecessary bilateral dissection.
Source: International Journal of Surgery
Authors: Kun Peng, Hongcun Chen, Baozhong Yao, Honglin Li, Wenzhong Bao, Wenbo Li, Daiwei Shi, Sailong Sang, Li Lin, Liang Li
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,450
OpenAlex ID: W4416996123