Three-dimensional computed tomography-based resection process map for robot-assisted partial nephrectomy : propensity score matching of a single-center retrospective study
© 2024 Wiley Periodicals LLC..
BACKGROUND AND OBJECTIVES: We aimed to examine the effect of preoperative three-dimensional (3D) computed tomography (CT)-based resection process map (RPM) imaging on the outcomes of robot-assisted partial nephrectomy (RAPN).
METHODS: We retrospectively analyzed 177 patients (RPM group, n = 92; non-RPM group, n = 85) who underwent this surgery between November 2012 and April 2022. Patient-specific contrast-enhanced CT images were used to construct an RPM, a 3D representation of the kidney showing the planned tumor resection and a 5 mm safety margin. Outcome analyses were performed using propensity score matching. The primary endpoint was the trifecta achievement rate.
RESULTS: We extracted 90 cases. The trifecta achievement rate showed no significant differences between the RPM (73.3%) and non-RPM groups (73.3%). However, the RPM group had fewer Grade 3 and higher complications (0.0% vs. 13.3%, p = 0.026). The da Vinci Xi (OR 3.38, p = 0.016) and tumor diameter (OR 0.95, p = 0.013) were independent factors affecting trifecta achievement in multivariate analysis. Using RPM imaging was associated with the absence of Grade 3 and higher perioperative complications (OR 5.33, p = 0.036) in univariate analysis.
CONCLUSIONS: Using preoperative 3D CT-based RPM images before RAPN may not affect trifecta achievement, but may reduce serious complication occurrence by providing detailed information on tumor resection.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2024 |
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| Enthalten in: |
Journal of surgical oncology - (2024) vom: 12. März |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Okada, Atsushi [VerfasserIn] |
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| Links: |
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| Themen: |
Computed X-ray tomography |
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| Anmerkungen: |
Date Revised 12.03.2024 published: Print-Electronic Citation Status Publisher |
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| doi: |
10.1002/jso.27615 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM369602862 |
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| 100 | 1 | |a Okada, Atsushi |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Three-dimensional computed tomography-based resection process map for robot-assisted partial nephrectomy |b propensity score matching of a single-center retrospective study |
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| 520 | |a © 2024 Wiley Periodicals LLC. | ||
| 520 | |a BACKGROUND AND OBJECTIVES: We aimed to examine the effect of preoperative three-dimensional (3D) computed tomography (CT)-based resection process map (RPM) imaging on the outcomes of robot-assisted partial nephrectomy (RAPN) | ||
| 520 | |a METHODS: We retrospectively analyzed 177 patients (RPM group, n = 92; non-RPM group, n = 85) who underwent this surgery between November 2012 and April 2022. Patient-specific contrast-enhanced CT images were used to construct an RPM, a 3D representation of the kidney showing the planned tumor resection and a 5 mm safety margin. Outcome analyses were performed using propensity score matching. The primary endpoint was the trifecta achievement rate | ||
| 520 | |a RESULTS: We extracted 90 cases. The trifecta achievement rate showed no significant differences between the RPM (73.3%) and non-RPM groups (73.3%). However, the RPM group had fewer Grade 3 and higher complications (0.0% vs. 13.3%, p = 0.026). The da Vinci Xi (OR 3.38, p = 0.016) and tumor diameter (OR 0.95, p = 0.013) were independent factors affecting trifecta achievement in multivariate analysis. Using RPM imaging was associated with the absence of Grade 3 and higher perioperative complications (OR 5.33, p = 0.036) in univariate analysis | ||
| 520 | |a CONCLUSIONS: Using preoperative 3D CT-based RPM images before RAPN may not affect trifecta achievement, but may reduce serious complication occurrence by providing detailed information on tumor resection | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a computed X-ray tomography | |
| 650 | 4 | |a nephrectomy | |
| 650 | 4 | |a renal cancer | |
| 650 | 4 | |a resection margin | |
| 650 | 4 | |a robot-assisted surgery | |
| 700 | 1 | |a Ohashi, Kazuya |e verfasserin |4 aut | |
| 700 | 1 | |a Hashimoto, Hiroya |e verfasserin |4 aut | |
| 700 | 1 | |a Ota, Yuya |e verfasserin |4 aut | |
| 700 | 1 | |a Sugino, Teruaki |e verfasserin |4 aut | |
| 700 | 1 | |a Unno, Rei |e verfasserin |4 aut | |
| 700 | 1 | |a Iwatsuki, Shoichiro |e verfasserin |4 aut | |
| 700 | 1 | |a Etani, Toshiki |e verfasserin |4 aut | |
| 700 | 1 | |a Taguchi, Kazumi |e verfasserin |4 aut | |
| 700 | 1 | |a Naiki, Taku |e verfasserin |4 aut | |
| 700 | 1 | |a Kurokawa, Satoshi |e verfasserin |4 aut | |
| 700 | 1 | |a Hamamoto, Shuzo |e verfasserin |4 aut | |
| 700 | 1 | |a Ando, Ryosuke |e verfasserin |4 aut | |
| 700 | 1 | |a Nakane, Akihiro |e verfasserin |4 aut | |
| 700 | 1 | |a Kawai, Noriyasu |e verfasserin |4 aut | |
| 700 | 1 | |a Tozawa, Keiichi |e verfasserin |4 aut | |
| 700 | 1 | |a Yasui, Takahiro |e verfasserin |4 aut | |
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