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Gurz S, Sengul A, Buyukkarabacak Y, Pirzirenli MG, Temel NG, Sullu Y, Tanrivermis Sayit A, Gundogdu H, Basoglu A. Effect of preoperative three-dimensional modeling on uniportal video-assisted thoracoscopic bronchial sleeve resection and early postoperative outcomes. TURK GOGUS KALP DAMAR CERRAHISI DERGISI 2024; 32:212-221. [PMID: 38933318 PMCID: PMC11197408 DOI: 10.5606/tgkdc.dergisi.2024.26059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 04/02/2024] [Indexed: 06/28/2024]
Abstract
Background The aim of this study was to evaluate the effects of preoperative three-dimensional (3D) modeling on the performance of uniportal video-assisted thoracoscopic bronchial sleeve resection and early postoperative outcomes. Methods A total of 10 patients (5 males, 5 females; mean age: 53.8±16.9 years; range, 18 to 75 years) who underwent uniportal video-assisted thoracoscopic bronchial sleeve resection with preoperative 3D modeling between April 2021 and November 2023 were retrospectively analyzed. Preoperative 3D modeling was prepared using computed tomography with an open-source 3D software program. Demographic, clinical, intraoperative, and postoperative data of the patients were recorded. Anatomical landmarks identified by preoperative 3D modeling were compared with intraoperative findings. Results The anatomical landmarks created with the 3D model were in 100% agreement with the intraoperative findings. The procedures performed were three left lower lobes, three right upper lobes, one middle lobe, one right lower lobe, and one parenchyma-sparing intermediate bronchial sleeve resection. Bronchial sleeve resection was completed using uniportal video-assisted thoracoscopic technique in 90% of patients, with only one patient requiring conversion to open thoracotomy. The mean resection time was 264.2±40.5 min, and the mean anastomosis time was 86.0±20.3 min. Anastomosis times decreased with increasing experience (p=0.008). Postoperative atelectasis was observed in two patients, and there was no mortality. The mean follow-up duration was 12.2±11.8 months. Conclusion Preoperative 3D modeling significantly contributed to the successful implementation of uniportal video-assisted thoracoscopic bronchial sleeve resection surgery. In the future, with advancements in simulation programs, patient-specific 3D modeling is expected to benefit the identification of anatomical landmarks for bronchial sleeve resections.
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Affiliation(s)
- Selcuk Gurz
- Department of Thoracic Surgery, Ondokuz Mayıs University Faculty of Medicine, Samsun, Türkiye
| | - Aysen Sengul
- Department of Thoracic Surgery, Ondokuz Mayıs University Faculty of Medicine, Samsun, Türkiye
| | - Yasemin Buyukkarabacak
- Department of Thoracic Surgery, Ondokuz Mayıs University Faculty of Medicine, Samsun, Türkiye
| | | | - Necmiye Gul Temel
- Department of Thoracic Surgery, Samsun Education and Research Hospital, Dr. Kamil Furtun Chest Diseases and Thoracic Surgery Hospital Additional Service Building, Samsun, Türkiye
| | - Yurdanur Sullu
- Department of Pathology, Ondokuz Mayıs University Faculty of Medicine, Samsun, Türkiye
| | | | - Hasan Gundogdu
- Department of Radiology, Samsun University Faculty of Medicine, Samsun, Türkiye
| | - Ahmet Basoglu
- Department of Thoracic Surgery, Ondokuz Mayıs University Faculty of Medicine, Samsun, Türkiye
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Fu L, Wu W, Oblokulov A, Zhu T, Ma Z, Wang H, Wu Y, Li Z, Yu G, Zhang C, Zhang M. Noninvasive 3D-CT simulation versus glue injection to localize small pulmonary nodules prior to anatomical segmentectomy: a randomized controlled trial. INTERDISCIPLINARY CARDIOVASCULAR AND THORACIC SURGERY 2024; 38:ivad156. [PMID: 37725345 PMCID: PMC10764112 DOI: 10.1093/icvts/ivad156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 05/29/2023] [Accepted: 09/16/2023] [Indexed: 09/21/2023]
Abstract
OBJECTIVES This study aimed to investigate whether adding glue injection to three-dimensional computed tomography bronchography and angiography (3D-CTBA) has extra benefits to facilitate anatomical segmentectomy for pulmonary nodules. METHODS We conducted a randomized controlled trial. The patients undergoing thoracoscopic segmentectomy assisted with 3D-CTBA simulation were enrolled. Then, they were divided into the 3D-CTBA group and the glue-labelling group who received additional computed tomography-guided percutaneous glue (2-octyl cyanoacrylate) injection to label the nodules. The primary outcome was the resection rate of the nodules, and the secondary measures included the operation time, complications and thorax drainage. RESULTS A total of 173 patients were randomized into the 3D-CTBA group (89 patients) and glue-labelling group (84 patients) between January 2018 and March 2019. Before the segmentectomy, the patients using glue labelling recorded 5 (6.0%) cases of pneumothorax, 2 (2.4%) cases of haemothorax and 1 (1.2%) case of severe chest pain. All the surgical procedure was performed fluently and safely. The resection rate of the nodules was 100% in both groups. Furthermore, these patients demonstrated similar operation time [(141.5 ± 41.9) vs (142.1 ± 38.9) min], estimated blood loss [(111.3 ± 74.0) vs (106.0 ± 63.8) ml], duration of chest tube duration [(5.1 ± 3.0) vs (5.0 ± 3.5) days] and total drainage volume [(872.3 ± 643.1) vs (826.7 ± 806.0) ml], with a P-value of >0.05 respectively. In addition, 6 (7.1%) patients in the glue-labelling group and 6 (6.7%) patients in the 3D-CTBA group reported air leakage (>5 days) and chylothorax. CONCLUSIONS Noninvasive 3D-CTBA alone is probably sufficient to facilitate anatomical segmentectomy. The additional invasive glue labelling could be avoided in selected patients who undergo intentional segmentectomy. CLINICAL TRIAL REGISTRATION The trial was registered under the Chinese Clinical Trial Registry (ChiCTR). Identifier: ChiCTR1800018293, https://www.chictr.org.cn/showproj.html?proj=29345.
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Affiliation(s)
- Linhai Fu
- Department of Thoracic Surgery, Shaoxing People’s Hospital, Shaoxing, China
| | - Wenbin Wu
- Department of Cardiothoracic Surgery, Xuzhou Central Hospital, Xuzhou, China
| | | | - Ting Zhu
- Department of Thoracic Surgery, Shaoxing People’s Hospital, Shaoxing, China
| | - Zhifeng Ma
- Department of Thoracic Surgery, Shaoxing People’s Hospital, Shaoxing, China
| | - Haiyong Wang
- Department of Thoracic Surgery, Shaoxing People’s Hospital, Shaoxing, China
| | - Yuanlin Wu
- Department of Thoracic Surgery, Shaoxing People’s Hospital, Shaoxing, China
| | - Zhupeng Li
- Department of Thoracic Surgery, Shaoxing People’s Hospital, Shaoxing, China
| | - Guangmao Yu
- Department of Thoracic Surgery, Shaoxing People’s Hospital, Shaoxing, China
| | - Chu Zhang
- Department of Thoracic Surgery, Shaoxing People’s Hospital, Shaoxing, China
| | - Miao Zhang
- Department of Cardiothoracic Surgery, Xuzhou Central Hospital, Xuzhou, China
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Nakazawa S, Nagashima T, Kawatani N, Gedeon PC, DeSimone AK, Igai H, Kosaka T, Shirabe K. Anatomy of the lung revisited by 3D-CT imaging. VIDEO-ASSISTED THORACIC SURGERY 2023; 8:17. [PMID: 37711275 PMCID: PMC10501054 DOI: 10.21037/vats-23-21] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/16/2023]
Abstract
The anatomy of the lung was originally described based on data acquired from cadaveric studies and surgical findings. Over time, computed tomography (CT) and three-dimensional (3D) imaging techniques have been developed, allowing for reconstruction and understanding of lung anatomy in a more intuitive way. The wide adoption of 3D-CT imaging technology has led to a variety of anatomical studies performed not only by anatomists but also by surgeons and radiologists. Such studies have led to new or modified classification systems, shed light on lung anatomy from a useful surgical viewpoint, and enabled us to analyze lung anatomy with a focus on particular anatomical features. 3D images also allow for enhanced pre- and intra-operative simulation, improved surgical safety, enhanced educational utility, and the capacity to perform large-scale anatomical studies in shorter time frames. We will review here the key features of 3D-CT imaging of the lung, along with representative anatomical studies regarding (I) general lung anatomy, (II) anatomy of the right and left lobes, and (III) features of interlobar vessels. The current surge of 3D imaging analysis shows that the field is growing, with the technology continuing to improve. Future studies using these new and innovative methodologies will continue to refine our understanding of lung anatomy while enhancing our ability to perform safe and effective surgical resections.
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Affiliation(s)
- Seshiru Nakazawa
- Department of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Japan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Toshiteru Nagashima
- Department of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Natsuko Kawatani
- Department of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Patrick C. Gedeon
- Department of Surgery, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Ariadne K. DeSimone
- Department of Radiology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Hitoshi Igai
- Department of General Thoracic Surgery, Japanese Red Cross Maebashi Hospital, Maebashi, Japan
| | - Takayuki Kosaka
- Department of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Japan
- Department of Thoracic Surgery, National Hospital Organization Takasaki General Medical Center, Takasaki, Japan
| | - Ken Shirabe
- Department of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Japan
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Baker KE, Robbins AC, Wasson RG, McCandless MG, Lirette ST, Kimball RJ, Washington CW, Luzardo GD, Stringer SP, Zachariah MA. Side-firing intraoperative ultrasound applied to resection of pituitary macroadenomas and giant adenomas: A single-center retrospective case-control study. Front Oncol 2022; 12:1043697. [PMID: 36531061 PMCID: PMC9748342 DOI: 10.3389/fonc.2022.1043697] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 11/08/2022] [Indexed: 09/10/2024] Open
Abstract
Introduction Multiple intraoperative navigation and imaging modalities are currently available as an adjunct to endoscopic transsphenoidal resection of pituitary adenomas, including intraoperative CT and MRI, fluorescence guidance, and neuronavigation. However, these imaging techniques have several limitations, including intraoperative tissue shift, lack of availability in some centers, and the increased cost and time associated with their use. The side-firing intraoperative ultrasound (IOUS) probe is a relatively new technology in endoscopic endonasal surgery that may help overcome these obstacles. Methods A retrospective analysis was performed on patients admitted for resection of pituitary adenomas by a single surgeon at the University of Mississippi Medical Center. The control (non-ultrasound) group consisted of twelve (n=12) patients who received surgery without IOUS guidance, and the IOUS group was composed of fifteen (n=15) patients who underwent IOUS-guided surgery. Outcome measures used to assess the side-firing IOUS were the extent of tumor resection, postoperative complications, length of hospital stay (LOS) in days, operative time, and self-reported surgeon confidence in estimating the extent of resection intraoperatively. Results Preoperative data analysis showed no significant differences in patient demographics or presenting symptoms between the two groups. Postoperative data revealed no significant difference in the rate of gross total resection between the groups (p = 0.716). Compared to the non-US group, surgeon confidence was significantly higher (p < 0.001), and operative time was significantly lower for the US group in univariate analysis (p = 0.011). Multivariate analysis accounting for tumor size, surgeon confidence, and operative time confirmed these findings. Interestingly, we noted a trend for a lower incidence of postoperative diabetes insipidus in the US group, although this did not quite reach our threshold for statistical significance. Conclusion Incorporating IOUS as an aid for endonasal resection of pituitary adenomas provides real-time image guidance that increases surgeon confidence in intraoperative assessment of the extent of resection and decreases operative time without posing additional risk to the patient. Additionally, we identified a trend for reduced diabetes insipidus with IOUS.
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Affiliation(s)
- Katherine E. Baker
- Department of Neurosurgery, The University of Mississippi Medical Center, Jackson, MS, United States
| | - Austin C. Robbins
- Department of Neurosurgery, The University of Mississippi Medical Center, Jackson, MS, United States
| | - Robert G. Wasson
- Department of Neurosurgery, The University of Mississippi Medical Center, Jackson, MS, United States
| | - Martin G. McCandless
- Department of Neurosurgery, The University of Mississippi Medical Center, Jackson, MS, United States
| | - Seth T. Lirette
- Department of Data Science, The University of Mississippi Medical Center, Jackson, MS, United States
| | - Rebekah J. Kimball
- Department of Neurosurgery, The University of Mississippi Medical Center, Jackson, MS, United States
| | - Chad W. Washington
- Department of Neurosurgery, The University of Mississippi Medical Center, Jackson, MS, United States
| | - Gustavo D. Luzardo
- Department of Neurosurgery, The University of Mississippi Medical Center, Jackson, MS, United States
| | - Scott P. Stringer
- Department of Otolaryngology, The University of Mississippi Medical Center, Jackson, MS, United States
| | - Marcus A. Zachariah
- Department of Neurosurgery, The University of Mississippi Medical Center, Jackson, MS, United States
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Matsuoka S, Shimizu K, Koike S, Takeda T, Miura K, Eguchi T, Hamanaka K. Significance of the evaluation of tracheal length using a three-dimensional imaging workstation. J Thorac Dis 2022; 14:4276-4284. [PMID: 36524079 PMCID: PMC9745505 DOI: 10.21037/jtd-22-595] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 09/23/2022] [Indexed: 11/27/2023]
Abstract
BACKGROUND Limited information is available on the total tracheal length and its other characteristics for tracheal surgery. This study aimed to investigate the reference value of tracheal length and assess its relationship with physiological variables. METHODS We measured the tracheal length of 215 patients (107 men and 108 women) who underwent contrast-enhanced computed tomography before thoracic surgery using a three-dimensional imaging workstation. Pearson correlation analysis and multiple linear regression analysis were performed to investigate the relationship between the total tracheal length (cervical and thoracic) and common physiological parameters. RESULTS The mean total tracheal length was 11.5±1 cm (range, 8.8-14.4 cm); 8% of the patients had a total tracheal length <10 cm. The cervical trachea was significantly shorter in men than in women (2.9±1.3 vs. 3.8±1.3 cm, P<0.001), whereas the thoracic trachea was significantly longer in men than in women (8.9±1.1 vs. 7.4±1.1 cm, P<0.001). Correlation analysis showed that the total tracheal length was positively associated with height in both sexes, while the height was positively associated with only cervical tracheal length. In the multiple linear regression analysis, the total tracheal length was influenced most by height, while cervical and thoracic tracheal lengths were influenced most by sex. Older age was also an independent contributor to a shorter cervical trachea and longer thoracic trachea in both sexes. CONCLUSIONS The total tracheal length ranged from short to long in individuals, and characteristics of tracheal length varied with height, age, sex, and part of the trachea. We should thus be aware of the tracheal length of each patient for appropriate tracheal management.
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Affiliation(s)
- Shunichiro Matsuoka
- Division of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Matsumoto, Japan
| | - Kimihiro Shimizu
- Division of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Matsumoto, Japan
| | - Sachie Koike
- Division of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Matsumoto, Japan
| | - Tetsu Takeda
- Division of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Matsumoto, Japan
| | - Kentaro Miura
- Division of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Matsumoto, Japan
| | - Takashi Eguchi
- Division of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Matsumoto, Japan
| | - Kazutoshi Hamanaka
- Division of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Matsumoto, Japan
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Krass S, Lassen-Schmidt B, Schenk A. Computer-assisted image-based risk analysis and planning in lung surgery - a review. Front Surg 2022; 9:920457. [PMID: 36211288 PMCID: PMC9535081 DOI: 10.3389/fsurg.2022.920457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 09/08/2022] [Indexed: 11/16/2022] Open
Abstract
In this paper, we give an overview on current trends in computer-assisted image-based methods for risk analysis and planning in lung surgery and present our own developments with a focus on computed tomography (CT) based algorithms and applications. The methods combine heuristic, knowledge based image processing algorithms for segmentation, quantification and visualization based on CT images of the lung. Impact for lung surgery is discussed regarding risk assessment, quantitative assessment of resection strategies, and surgical guiding. In perspective, we discuss the role of deep-learning based AI methods for further improvements.
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Affiliation(s)
- Stefan Krass
- Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
- Correspondence: Stefan Krass
| | | | - Andrea Schenk
- Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
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