Accuracy of bony resection under computer-assisted navigation for bone sarcomas around the knee.
Bone sarcoma
Computer-assisted navigation
Neoplasm
Oncology
Journal
World journal of surgical oncology
ISSN: 1477-7819
Titre abrégé: World J Surg Oncol
Pays: England
ID NLM: 101170544
Informations de publication
Date de publication:
21 Jun 2023
21 Jun 2023
Historique:
received:
18
02
2023
accepted:
11
06
2023
medline:
23
6
2023
pubmed:
22
6
2023
entrez:
21
6
2023
Statut:
epublish
Résumé
Computer-assisted navigation has made bone sarcoma resections more precise. However, further clinical studies involving accuracy analyses under navigation are still warranted. A retrospective study for analysis of computer-assisted navigation accuracy was carried out. Between September 2008 and November 2017, 39 cases of bone sarcomas around the knee joint were resected under computer-assisted navigation. The control group comprised 117 cases of bone sarcomas around the knee treated by limb salvage surgery wherein bony cutting was achieved freehand. The length difference (LD) was defined as the specimen length minus the planned resection length. The LDs were detected in both groups and compared. The margin accuracy (MA) was defined as the achieved margin minus the desired margin at the bone cutting site and was detected in the navigation group. The LDs between the postoperative specimen length and the preoperative planned length were compared. In the navigation group, the LD was 0.5 ± 2.5 mm (range, - 5 to 5 mm), while in the freehand group, the LD was 3.4 ± 9.6 mm (range, - 20 to 29 mm), with a significant difference (P < 0.01). In the absolute value analysis, the LD absolute value was 2.0 ± 1.6 mm in the navigation group and 8.3 ± 6.0 mm in the freehand group, with a significant difference (P < 0.01). In the navigation group, the MA was 0.3 ± 1.5 mm (range, - 3 to 3 mm) and the MA absolute value was 1.1 ± 1.0 mm. Better accuracy can be achieved when computer-assisted navigation is conducted for bone sarcoma resection around the knee. IV.
Sections du résumé
BACKGROUND
BACKGROUND
Computer-assisted navigation has made bone sarcoma resections more precise. However, further clinical studies involving accuracy analyses under navigation are still warranted.
METHODS
METHODS
A retrospective study for analysis of computer-assisted navigation accuracy was carried out. Between September 2008 and November 2017, 39 cases of bone sarcomas around the knee joint were resected under computer-assisted navigation. The control group comprised 117 cases of bone sarcomas around the knee treated by limb salvage surgery wherein bony cutting was achieved freehand. The length difference (LD) was defined as the specimen length minus the planned resection length. The LDs were detected in both groups and compared. The margin accuracy (MA) was defined as the achieved margin minus the desired margin at the bone cutting site and was detected in the navigation group.
RESULTS
RESULTS
The LDs between the postoperative specimen length and the preoperative planned length were compared. In the navigation group, the LD was 0.5 ± 2.5 mm (range, - 5 to 5 mm), while in the freehand group, the LD was 3.4 ± 9.6 mm (range, - 20 to 29 mm), with a significant difference (P < 0.01). In the absolute value analysis, the LD absolute value was 2.0 ± 1.6 mm in the navigation group and 8.3 ± 6.0 mm in the freehand group, with a significant difference (P < 0.01). In the navigation group, the MA was 0.3 ± 1.5 mm (range, - 3 to 3 mm) and the MA absolute value was 1.1 ± 1.0 mm.
CONCLUSIONS
CONCLUSIONS
Better accuracy can be achieved when computer-assisted navigation is conducted for bone sarcoma resection around the knee.
LEVEL OF EVIDENCE
METHODS
IV.
Identifiants
pubmed: 37344874
doi: 10.1186/s12957-023-03071-0
pii: 10.1186/s12957-023-03071-0
pmc: PMC10283339
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
187Subventions
Organisme : Beijing Municipal Administration of Hospitals Incubating Program
ID : No PX2022016
Organisme : Beijing Talents Fund
ID : 2017000021469G239
Organisme : Beijing Jishuitan Hospital Elite Young Scholar Program
ID : No XKGG202107
Informations de copyright
© 2023. The Author(s).
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