Surgical Oncology-Oxford最新文献

{"title":"Complete anatomical left trisectionectomy with caudate lobectomy via preceding extrahepatic Glissonean pedicle ligation for hepatocellular carcinoma (with Video)","authors":"Yusuke Takemura, Yuta Abe, Yutaka Nakano, Yuko Kitagawa","doi":"10.1016/j.suronc.2025.102189","DOIUrl":"10.1016/j.suronc.2025.102189","url":null,"abstract":"","PeriodicalId":51185,"journal":{"name":"Surgical Oncology-Oxford","volume":"59 ","pages":"Article 102189"},"PeriodicalIF":2.3,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143444339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning in cancer prognostication: Limitations and opportunities","authors":"Giorgos C. Karakousis","doi":"10.1016/j.suronc.2024.102164","DOIUrl":"10.1016/j.suronc.2024.102164","url":null,"abstract":"","PeriodicalId":51185,"journal":{"name":"Surgical Oncology-Oxford","volume":"57 ","pages":"Article 102164"},"PeriodicalIF":2.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142631245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The evolution of melanomology: a tale of giants’ shoulders and bold hypotheses","authors":"John F. Thompson","doi":"10.1016/j.suronc.2024.102094","DOIUrl":"10.1016/j.suronc.2024.102094","url":null,"abstract":"","PeriodicalId":51185,"journal":{"name":"Surgical Oncology-Oxford","volume":"57 ","pages":"Article 102094"},"PeriodicalIF":2.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141237451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and external validation of a machine learning model for prediction of survival in extremity leiomyosarcoma","authors":"Austin Yu ,&nbsp;Linus Lee ,&nbsp;Thomas Yi ,&nbsp;Michael Fice ,&nbsp;Rohan K. Achar ,&nbsp;Sarah Tepper ,&nbsp;Conor Jones ,&nbsp;Evan Klein ,&nbsp;Neil Buac ,&nbsp;Nicolas Lopez-Hisijos ,&nbsp;Matthew W. Colman ,&nbsp;Steven Gitelis ,&nbsp;Alan T. Blank","doi":"10.1016/j.suronc.2024.102057","DOIUrl":"10.1016/j.suronc.2024.102057","url":null,"abstract":"<div><h3>Purpose</h3><div><span>Machine learning (ML) models have been used to predict cancer survival in several sarcoma subtypes. However, none have investigated extremity </span>leiomyosarcoma (LMS). ML is a powerful tool that has the potential to better prognosticate extremity LMS.</div></div><div><h3>Methods</h3><div>The Surveillance, Epidemiology, and End Results (SEER) database was queried for cases of histologic extremity LMS (n = 634). Patient, tumor, and treatment characteristics were recorded, and ML models were developed to predict 1-, 3-, and 5-year survival. The best performing ML model was externally validated using an institutional cohort of extremity LMS patients (n = 46).</div></div><div><h3>Results</h3><div>All ML models performed best at the 1-year time point and worst at the 5-year time point. On internal validation within the SEER cohort, the best models had c-statistics of 0.75–0.76 at the 5-year time point. The Random Forest (<em>RF</em>) model was the best performing model and used for external validation. This model also performed best at 1-year and worst at 5-year on external validation with c-statistics of 0.90 and 0.87, respectively. The <em>RF</em> model was well calibrated on external validation. This model has been made publicly available at <span><span>https://rachar.shinyapps.io/lms_app/</span><svg><path></path></svg></span></div></div><div><h3>Conclusions</h3><div>ML models had excellent performance for survival prediction of extremity LMS. Future studies incorporating a larger institutional cohort may be needed to further validate the ML model for LMS prognostication.</div></div>","PeriodicalId":51185,"journal":{"name":"Surgical Oncology-Oxford","volume":"57 ","pages":"Article 102057"},"PeriodicalIF":2.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140095005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Long-term survival after sleeve lobectomy versus pneumonectomy for non-small cell lung cancer","authors":"Patrick Soldath ,&nbsp;Philip Ryom ,&nbsp;René Horsleben Petersen","doi":"10.1016/j.suronc.2024.102168","DOIUrl":"10.1016/j.suronc.2024.102168","url":null,"abstract":"<div><h3>Background</h3><div>To compare short-term mortality and long-term overall survival between sleeve lobectomy and pneumonectomy for centrally located non-small cell lung cancer (NSCLC).</div></div><div><h3>Methods</h3><div>We retrospectively reviewed patients who had been radically resected for NSCLC by sleeve lobectomy with or without pulmonary arterioplasty at our institution between 2009 and 2023. We then propensity score-matched the patients with pneumonectomy counterparts from a national registry and compared their 30- and 90-day mortality and long-term overall survival before and after matching. The mortality was compared using independence tests and the overall survival using Kaplan-Meier estimates and the log-rank test.</div></div><div><h3>Results</h3><div>The study included 109 sleeve lobectomy patients and 315 pneumonectomy patients, of whom 60 patients from each group were matched. The 30- and 90-day mortality was similar between both the unmatched and matched groups (unmatched: 3.7 % vs 5.1 % and 5.5 % vs 9.2 %; matched: 5.0 % vs 6.7 % and 5.0 % vs 12 %. All p-values &gt;0.05). The overall survival was longer in both the unmatched and matched sleeve lobectomy patients (unmatched: hazard ratio [HR] 0.52, 95 % confidence interval [CI] 0.37–0.73, p &lt; 0.001; matched HR 0.55, 95 % CI 0.34–0.90, p = 0.018). The 5-year overall survival was 68 % and 49 % for the unmatched sleeve lobectomy and pneumonectomy patients, respectively, and 61 % and 42 % for the matched ones.</div></div><div><h3>Conclusions</h3><div>Sleeve lobectomy yields non-inferior short-term mortality and superior long-term overall survival compared with pneumonectomy and should be the resection of choice for centrally located NSCLC when feasible.</div></div>","PeriodicalId":51185,"journal":{"name":"Surgical Oncology-Oxford","volume":"58 ","pages":"Article 102168"},"PeriodicalIF":2.3,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of age on surgical excision margins for vulvar squamous cell carcinomas: A multicenter study by the francogyn group","authors":"E. Raimond ,&nbsp;C. Ambroise ,&nbsp;Y. Kerbage ,&nbsp;L. Ouldamer ,&nbsp;S. Bendifallah ,&nbsp;X. Carcopino ,&nbsp;M. Koskas ,&nbsp;P.A. Bolze ,&nbsp;V. Lavoué ,&nbsp;T. Gauthier ,&nbsp;O. Graesslin ,&nbsp;A. Fauconnier ,&nbsp;C. Huchon ,&nbsp;Francogyn Group","doi":"10.1016/j.suronc.2024.102170","DOIUrl":"10.1016/j.suronc.2024.102170","url":null,"abstract":"<div><h3>Introduction</h3><div>Vulvar cancer is a rare cancer, it most often affects older women, with tumours of more advanced size and stage than in younger patients. The first-line treatment for vulvar cancer is surgery. Current European and American guidelines recommend negative histological margins. As tumor size is greater in older patients, the aim of this study was to assess the impact of patient age on surgical excision margins in squamous cell carcinomas of the vulva.</div></div><div><h3>Material and method</h3><div>This was a retrospective multicenter observational study. A descriptive analysis of the population was performed and a univariate analysis was performed according to patient age. Survival data were plotted using the Kaplan-Meier method and compared using a log rank test. Survival was analyzed using a Cox model to calculate the Hazard Ratio.</div></div><div><h3>Results</h3><div>Among the 547 patients included, there were 206 patients &lt;65 years and 341 ≥ 65 years, including 135 ≥ 80 years. Median postoperative histological lesion size and interquartile range was greater in patients ≥65 years (30 mm [18–45] versus 26 mm [14–34], p &lt; 0.001). Patients ≥65 years of age more often benefited from radical total vulvectomy (n = 103 (28.8 %) versus n = 44 (20.4 %), p = 0.03). However, negative surgical excision margins were identical between the 2 groups (n = 180 (87.4 %) versus n = 286 (83.9 %), p = 0.21). Revision surgery was performed more frequently in patients &lt;65 years. Recurrence-free survival was better in patients aged &lt;65 years (HR = 0.60; CI95 % (0.45–0.82), p = 0.001).</div></div><div><h3>Conclusion</h3><div>Despite larger tumour size, age is not a factor influencing the achievement of negative excision margins in squamous cell carcinomas of the vulva, at the cost of more radical surgery.</div></div>","PeriodicalId":51185,"journal":{"name":"Surgical Oncology-Oxford","volume":"58 ","pages":"Article 102170"},"PeriodicalIF":2.3,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142755811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The potential of AI-assisted gastrectomy with dual highlighting of pancreas and connective tissue","authors":"Tatsuro Nakamura,&nbsp;Yasunori Kurahashi,&nbsp;Yoshinori Ishida,&nbsp;Hisashi Shinohara","doi":"10.1016/j.suronc.2024.102171","DOIUrl":"10.1016/j.suronc.2024.102171","url":null,"abstract":"<div><h3>Background</h3><div>Standard gastrectomy with D2 lymph node (LN) dissection for gastric cancer involves peripancreatic lymphadenectomy [<span><span>1</span></span>]. This technically demanding procedure requires meticulous dissection within the dissectable layers of connective tissue, while identifying and preserving the pancreas [<span><span>2</span></span>]. Our previous study demonstrated the proficiency of Eureka, a surgical artificial intelligence (AI) system, in recognizing both connective tissue and the pancreas [<span><span>3</span></span>,<span><span>4</span></span>]. Dual highlighting of these structures is expected to reduce surgeon stress by aiding in anatomical identification, thereby ensuring safer and more accurate surgery.</div></div><div><h3>Methods</h3><div>Connective tissue and the pancreas were highlighted by the surgical AI system in surgical videos on no. 6 (infrapyloric LNs), no. 8 (LNs along the common hepatic artery), and no. 13 (LNs on the posterior surface of the pancreatic head) dissection. These videos were specifically selected as surgeons encountered difficulty in distinguishing the dissectable layers and the pancreatic process.</div></div><div><h3>Results</h3><div>All videos showed variations of pancreatic morphologies that differed in size and shape. The AI system consistently highlighted the pancreatic process even during initial exploration. Furthermore, it recognized connective tissue, which delineated the appropriate layers for dissection.</div></div><div><h3>Conclusions</h3><div>The surgical AI system accurately demonstrated dual highlighting of the pancreatic process and connective tissues. Although there are challenges for clinical application, this system can be a valuable tool for anatomical guidance and recognition during surgery, potentially leading to safer and better outcomes.</div></div>","PeriodicalId":51185,"journal":{"name":"Surgical Oncology-Oxford","volume":"58 ","pages":"Article 102171"},"PeriodicalIF":2.3,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Laparoscopic subsegmentectomy 5 for deeply located hepatocellular carcinoma surrounded by major portal pedicles and middle hepatic vein","authors":"Ji Hoon Kim","doi":"10.1016/j.suronc.2024.102166","DOIUrl":"10.1016/j.suronc.2024.102166","url":null,"abstract":"","PeriodicalId":51185,"journal":{"name":"Surgical Oncology-Oxford","volume":"57 ","pages":"Article 102166"},"PeriodicalIF":2.3,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142696174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ICG-guided sentinel lymph node biopsy in melanoma is as effective as blue dye: A retrospective analysis","authors":"Danielle Lavy ,&nbsp;Michal Shimonovitz ,&nbsp;Daniel Keidar ,&nbsp;Anton Warshavsky ,&nbsp;Yonatan Lessing ,&nbsp;Adam Abu-Abeid ,&nbsp;Schlomo Schneebaum ,&nbsp;Mor Miodovnik ,&nbsp;Eran Nizri","doi":"10.1016/j.suronc.2024.102167","DOIUrl":"10.1016/j.suronc.2024.102167","url":null,"abstract":"<div><h3>Introduction</h3><div>Sentinel lymph node biopsy (SLNB) is a key procedure in the staging and management of melanoma. Traditionally, it is performed using a dual-mapping technique combining a radioactive isotope (RI) and blue dye (BD). Fluorescence-guided surgery with indocyanine green (ICG) has emerged as an alternative tracer, offering potential advantages in real-time visualization and operative efficiency. This study compares the efficacy of RI + ICG with RI + BD in SLNB for melanoma.</div></div><div><h3>Methods</h3><div>We conducted a retrospective cohort study at a single center, including 311 patients who underwent SLNB for melanoma. Patients were divided into two groups: RI + BD (n = 227, January 2010–August 2022) and RI + ICG (n = 84, August 2022–February 2024). SLN detection rates, positive SLN rates, operative times, and postoperative complications were compared between the two groups.</div></div><div><h3>Results</h3><div>Both groups were clinically and pathologically comparable. SLN detection rates were 100 % in the RI + BD group and 98.8 % in the RI + ICG group (p = 0.1). The median number of lymph nodes resected was lower in the RI + ICG group as compared to the RI + BD group (p = 0.047). While positive SLN rates were higher in the RI + ICG group (9.5 % vs. 6.2 %), this difference was not statistically significant (p = 0.3). ICG alone could not identify all the positive SLN. Postoperative complications, including seroma, did not differ significantly between groups.</div></div><div><h3>Conclusions</h3><div>ICG-guided SLNB is comparable to BD-guided SLNB in terms of detection rate and SLN positivity, although it can not be used alone to identify all positive SLNBs. ICG-based fluorescence imaging is a promising technique that may enhance surgical efficiency in melanoma management.</div></div>","PeriodicalId":51185,"journal":{"name":"Surgical Oncology-Oxford","volume":"57 ","pages":"Article 102167"},"PeriodicalIF":2.3,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142707080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"T-cell immunotherapy for melanoma","authors":"Cristian Mantilla Rosa ,&nbsp;Aparna Vancheswaran ,&nbsp;Charlotte E. Ariyan","doi":"10.1016/j.suronc.2024.102160","DOIUrl":"10.1016/j.suronc.2024.102160","url":null,"abstract":"<div><div>This review explores T-cell immunotherapy for melanoma, highlighting immune checkpoint inhibitors (anti-CTLA-4, anti-PD-1, anti-LAG-3), tumor-infiltrating lymphocytes (TILs), and emerging therapies that engineer T cells with specific receptors or T-cell receptors, such as CAR-T and TCR cells, and RNA vaccines. We discuss the history of T-cell immunotherapy, mechanisms of action, and future directions for improving patient outcomes.</div></div>","PeriodicalId":51185,"journal":{"name":"Surgical Oncology-Oxford","volume":"57 ","pages":"Article 102160"},"PeriodicalIF":2.3,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142696180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}