Commentary: Should the surgical tactics of segmentectomy be planned on the anatomy of the segmental veins?
Bibliographic record
Abstract
Central MessageRight upper lobe segmentectomies are facilitated by standardized surgical approaches based on anatomical modeling of the venous drainage and intersegmental veins of the right upper lobe.See Article page 288. Right upper lobe segmentectomies are facilitated by standardized surgical approaches based on anatomical modeling of the venous drainage and intersegmental veins of the right upper lobe. See Article page 288. Currently, the role of sublobar resection in the treatment of non–small cell lung cancer (NSCLC) is a hot topic. While guidelines support the use of segmentectomy to treat early-stage NSCLC presenting as pure ground-glass opacity or predominantly ground-glass opacity in patients fit for surgery,1National Comprehensive Cancer Network. Non-Small Cell Lung Cancer. Version 08.2020. Available at: https://www.nccn.org/professionals/physician_gls/pdf/nscl.pdf. Accessed August 20, 2020.Google Scholar the use of segmentectomy to treat solid NSCLC lesions is still controversial.2Nakamura H. Taniguchi Y. Miwa K. Adachi Y. Fujioka S. Haruki T. et al.Comparison of the surgical outcomes of thoracoscopic lobectomy, segmentectomy, and wedge resection for clinical stage I non-small cell lung cancer.Thorac Cardiovasc Surg. 2011; 59: 137-141Crossref PubMed Scopus (78) Google Scholar The results of 2 controlled randomized trials (Cancer and Leukemia Group B/Alliance 140503 and Japan Clinical Oncology Group 0802) are awaited and should shed light on this exciting question.3Comparison of Different Types of Surgery in Treating Patients With Stage IA Non-Small Cell Lung Cancer.https://clinicaltrials.gov/ct2/show/record/NCT00499330Date accessed: August 20, 2020Google Scholar,4Nakamura K. Saji H. Nakajima R. Okada M. Asamura H. Shibata T. et al.A phase III randomized trial of lobectomy versus limited resection for small-sized peripheral non–small cell lung cancer (JCOG0802/WJOG4607L).Jpn J Clin Oncol. 2010; 40: 271-274Crossref PubMed Scopus (444) Google Scholar The number of segmentectomies performed each year continues to increase despite the well-recognized complexity of the procedure caused by numerous bronchovascular anatomical variations. In the current issue of JTCVS Techniques, Nakazawa and colleagues present a standardized approach for right upper lobe (RUL) segmentectomy based on the venous drainage pattern and identification of the intersegmental veins.5Nakazawa S. Shimizu K. Kawatani N. Obayashi K. Ohtaki Y. Nagashima T. et al.Right upper lobe segmentectomy guided by simplified anatomical models.J Thorac Cardiovasc Surg Tech. 2020; 4: 288-297Google Scholar Thirty-four patients underwent preoperative 3-dimensional computed tomography reconstruction of the RUL bronchovascular structures then underwent segmentectomy guided by the computed tomography findings. The authors, using anatomical modeling they previously described,6Nagashima T. Shimizu K. Ohtaki Y. Obayashi K. Kakegawa S. Nakazawa S. et al.An analysis of variations in the bronchovascular pattern of the right upper lobe using three-dimensional CT angiography and bronchography.Gen Thorac Cardiovasc Surg. 2015; 63: 354-360Crossref PubMed Scopus (40) Google Scholar,7Shimizu K. Nagashima T. Ohtaki Y. Obayashi K. Nakazawa S. Kamiyoshihara M. et al.Analysis of the variation pattern in right upper pulmonary veins and establishment of simplified vein models for anatomical segmentectomy.Gen Thorac Cardiovasc Surg. 2016; 64: 604-611Crossref PubMed Scopus (35) Google Scholar classified the anatomy of the RUL main vein branches into 1 of 4 major types, and the drainage pattern of the intersegmental veins was classified into 1 of 14 subtypes. Based on this classification, an anterior, interlobar, or posterior/bronchial approach was used to perform the segmentectomy, which facilitated identification of the intersegmental vein and, consequently, its division. All patients were classified into 1 of 4 previously described anatomical models. Importantly, in 4 patients (12%), the standard approach to RUL segmentectomy was changed because an uncommon anatomical subtype was identified. The article by Nakazawa and colleagues highlights the importance of surgical planning before complex procedures. A systematic and methodic surgical approach guided by preoperative imaging studies of the drainage pattern of the RUL veins can potentially optimize surgical outcomes. With the use of this objective surgical tactic, hesitation and futile movements are reduced, favoring a fluid anatomical dissection with precise identification of the segmental vein. Moreover, accurate recognition of the anatomy of the intersegmental veins and their spatial relationship with the tumor might enable better definition of the surgical margins. Interestingly, 8 of the 34 patients underwent bi-segmentectomy, segmentectomy plus subsegmentectomy, or 2 subsegmentectomies from adjacent segments. We speculate that the authors' anatomical modeling was a decisive factor in electing these types of resection and contributed to their success. Our main concerns with this anatomical model are its reproducibility and applicability to day-to-day practice. It is well known that there is great value in understanding lobar anatomy with the use of preoperative 3-dimensional reconstructions methods. However, the authors went a step further to propose surgical strategies after classifying the anatomic variations of RUL vein branches. Despite a great effort from the authors to simplify RUL segmentectomies and the excellent oncologic and surgical outcomes, this surgical strategy is not intuitive. Also, due to the small sample size, the impact of this proposed model on clinical practice remains unclear. We congratulate the authors for their innovative concept and outstanding work trying to simplify a complex procedure through the knowledge of the anatomy of the segmental RUL veins. We believe that standardizing complex procedures improves outcomes. Here, the authors have shown that coupling routine modeling with standardized surgical approaches to segmentectomy is feasible. Certainly, the readers will have a different perspective while planning and performing RUL segmentectomies after reading this study. Right upper lobe segmentectomy guided by simplified anatomic modelsJTCVS TechniquesVol. 4PreviewTo standardize the technical strategy for right upper lobe (RUL) segmentectomy, we previously developed simplified 3-dimensional (3D) anatomic models that classify the RUL anatomy into 14 patterns according to the branching pattern of bronchi and veins. We aimed to study the surgical outcome of RUL segmentectomy guided by these simplified anatomic models. Full-Text PDF Open Access
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".