Dataset Information

Application of three-dimensional printed models with near-infrared fluorescence technology in video-assisted thoracoscopic surgery segmentectomy: a single-center propensity-score matching analysis.

ABSTRACT:

Background

The combination of three-dimensional printing (3DP) technology and near-infrared fluorescence (NIF) technology using indocyanine green (ICG) has demonstrated significant potential in enhancing surgical margin and safety, as well as simplifying segmental resection. However, there is limited literature available on the integrated use of these techniques. The current study assessed the effectiveness and value of integrating 3DP-NIF technologies in the perioperative outcomes of thoracoscopic segmental lung resection.

Methods

This single-center, retrospective study recruited 165 patients with pulmonary nodules who underwent thoracoscopic segmentectomy. Eligible patients were categorized into two groups: the 3DP-NIF group (71 patients) treated with a combination of 3DP-NIF technology, and the three-dimensional computed tomography bronchography and angiography with modified inflation-deflation (3D-CTBA-ID) group (94 patients). Following rigorous propensity-score matching (PSM) analysis (1:1 ratio), perioperative outcomes between these two approaches were compared.

Results

Sixty-six patients were successfully matched in each group. In the 3D-CTBA-ID group, inadequate visualization of segmental planes was noted in 14 cases, compared to only five cases in the 3DP-NIF group (P=0.03). In addition, the 3DP-NIF group demonstrated a shorter time for clear intersegmental boundary line (IBL) presentation {9 [8, 10] vs. 1,860 [1,380, 1,920] s} (P<0.001), and shorter operative time (134.09±34.9 vs. 163.47±49.4 min) (P<0.001), postoperative drainage time (P<0.001), and postoperative hospital stay (P=0.002) compared to the 3D-CTBA-ID group. Furthermore, the incidence of postoperative air leak was higher in the 3D-CTBA-ID group than in the 3DP-NIF group (33.3% vs. 7.6%, P<0.001).

Conclusions

The combination of 3DP-NIF technologies served as a reliable technical safeguard, ensuring the safe and efficient execution of thoracoscopic pulmonary segmentectomy.

SUBMITTER: Huang R

PROVIDER: S-EPMC11320237 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature

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Publications

Application of three-dimensional printed models with near-infrared fluorescence technology in video-assisted thoracoscopic surgery segmentectomy: a single-center propensity-score matching analysis.

Huang Renjie R Du Jianting J Xu Guobing G Gong Xian X Qian Jiekun J Chen Shuxing S Zheng Bin B Chen Chun C Yang Zhang Z

Journal of thoracic disease 20240726 7

<h4>Background</h4>The combination of three-dimensional printing (3DP) technology and near-infrared fluorescence (NIF) technology using indocyanine green (ICG) has demonstrated significant potential in enhancing surgical margin and safety, as well as simplifying segmental resection. However, there is limited literature available on the integrated use of these techniques. The current study assessed the effectiveness and value of integrating 3DP-NIF technologies in the perioperative outcomes of th ...[more]

PMID: 39144321

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Project description:BackgroundThoracoscopic anatomical segmentectomy is increasingly recognized for managing early-stage lung cancer. However accurately identifying intersegmental planes (ISPs), especially in complex lung segments, remains challenging. In comparison to conventional methods, fluorescence imaging represents a novel solution. This study aimed to examine the potential benefits of fluorescence imaging in single-port thoracoscopic anatomical segmentectomy.MethodsA multicenter (three regional hospitals), retrospective, comparative analysis was conducted using data from 402 consecutive patients who underwent single-port thoracoscopic anatomical segmentectomy from June 2020 to December 2022. The cohort included 191 patients treated with the fluorescence method and 211 patients treated with the modified inflation-deflation method. Among the cohort, 130 patients were placed in the simple segmentectomy group and 272 in the complex segmentectomy group. Propensity score matching (PSM) was used to adjust for baseline differences between the fluorescence and modified inflation-deflation subgroups in the complex segmentectomy group. Perioperative outcomes were compared between the groups.ResultsIn the simple segmentectomy group, no significant differences were observed between the fluorescence and modified inflation-deflation methods regarding segmental resection time, intraoperative blood loss, postoperative chest tube drainage and duration, postoperative pain, length of hospital stay, complication rate, or hospital costs. In the complex segmentectomy group, however, fluorescence imaging significantly shortened segmental resection time (69.37±28.22 vs. 78.80±34.66 min; P=0.03), while reducing intraoperative blood loss (P=0.046); and improving visual analogue scale (VAS) pain scores on the first postoperative day (P=0.006). Both methods demonstrated comparable safety and oncologic effectiveness.ConclusionsFluorescence-guided single-port thoracoscopic anatomical segmentectomy demonstrated comparable perioperative safety and effectiveness to the modified inflation-deflation technique while offering advantages, such as shorter segmental resection time, for complex segmentectomies.

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Project description:BackgroundIn recent years, opportunities to conduct anatomical segmentectomies for early stage lung cancer, metastatic lung tumor, and so on have been increasing. Generally, uniportal video-assisted thoracoscopic surgery (U-VATS) uncommon segmentectomy is technically more complicated because of limited angulation compared to multiportal VATS (M-VATS) and the need to treat peripheral vessels/bronchi compared to common segmentectomy. This study aimed to determine the safety and feasibility of U-VATS uncommon segmentectomy compared with U-VATS common segmentectomy and M-VATS uncommon segmentectomy.MethodsWe retrospectively reviewed the medical records of 76 patients in the M-VATS group and 45 patients in the U-VATS group who underwent VATS segmentectomy from January 2015 to December 2020. During that period, the perioperative results of U-VATS uncommon (n=22) segmentectomy were compared with those of U-VATS common (n=23) and M-VATS uncommon (n=37) segmentectomy. Uncommon segmentectomy was defined as any segmentectomy other than segmentectomies of the lingual, basilar, or superior segment of the lower lobe (S6), and upper division of the left upper lobe. All patients in our department underwent preoperative three-dimensional computed tomography (3D-CT) angiography and bronchography to image bronchovascular structures and determine the resection line.ResultsPatients characteristics were similar between the U-VATS uncommon segmentectomy group and the U-VATS common segmentectomy group or the M-VATS uncommon segmentectomy group. In U-VATS, there were no significant differences between common and uncommon segmentectomy in operation time, postoperative drainage, postoperative hospitalization, and postoperative complications. Comparing M-VATS and U-VATS uncommon segmentectomies, operation time (145±35 vs. 185±44 min, P<0.001) and postoperative hospitalization (3.1±1.6 vs. 4.2±1.8 days, P=0.02) were significantly shorter in the U-VATS group than in the M-VATS group. There were no significant differences in blood loss, intraoperative bleeding, duration of postoperative drainage and postoperative complications.ConclusionsIn U-VATS, both types of segmentectomies can be achieved with similar results. Moreover, U-VATS shortened operation time and postoperative hospitalization in uncommon segmentectomy compared with conventional M-VATS. U-VATS is a useful approach for uncommon segmentectomy.

Dataset Information

Application of three-dimensional printed models with near-infrared fluorescence technology in video-assisted thoracoscopic surgery segmentectomy: a single-center propensity-score matching analysis.

Background

Methods

Results

Conclusions

Publications

Application of three-dimensional printed models with near-infrared fluorescence technology in video-assisted thoracoscopic surgery segmentectomy: a single-center propensity-score matching analysis.

Similar Datasets

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