Francesco Santullo, Virginia Vargiu, Andrea Rosati, Barbara Costantini, Valerio Gallotta, Claudio Lodoli, Carlo Abatini, Miriam Attalla El Halabieh, Valentina Ghirardi, Federica Ferracci, Lorena Quagliozzi, Angelica Naldini, Fabio Pacelli, Giovanni Scambia, Anna Fagotti
{"title":"ASO Author Reflections: Tailored Strategies to Prevent Anastomotic Leakage After Colorectal Resections: The Importance of Understanding Risks in Different Patient Subtypes.","authors":"Francesco Santullo, Virginia Vargiu, Andrea Rosati, Barbara Costantini, Valerio Gallotta, Claudio Lodoli, Carlo Abatini, Miriam Attalla El Halabieh, Valentina Ghirardi, Federica Ferracci, Lorena Quagliozzi, Angelica Naldini, Fabio Pacelli, Giovanni Scambia, Anna Fagotti","doi":"10.1245/s10434-025-16927-4","DOIUrl":"https://doi.org/10.1245/s10434-025-16927-4","url":null,"abstract":"","PeriodicalId":8229,"journal":{"name":"Annals of Surgical Oncology","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Koumani W Ntowe, Michael S Lee, Victoria N Yi, Samantha J Kaplan, Brett T Phillips, Akiko Chiba, Jennifer K Plichta
{"title":"ASO Visual Abstract: Short-Term Patient-Reported Outcomes Following Bilateral Risk-Reducing Mastectomy for Patients at High Risk for Breast Cancer: A Systematic Review.","authors":"Koumani W Ntowe, Michael S Lee, Victoria N Yi, Samantha J Kaplan, Brett T Phillips, Akiko Chiba, Jennifer K Plichta","doi":"10.1245/s10434-025-16902-z","DOIUrl":"https://doi.org/10.1245/s10434-025-16902-z","url":null,"abstract":"","PeriodicalId":8229,"journal":{"name":"Annals of Surgical Oncology","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143021917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Julia Hanevelt, Richard M Brohet, Leon M G Moons, Miangela M Laclé, Frank P Vleggaar, Henderik L van Westreenen, Wouter H de Vos Tot Nederveen Cappel
{"title":"Risk of Lymph Node Metastasis in T2 Colon Cancer: A Nationwide Population-Based Cohort Study.","authors":"Julia Hanevelt, Richard M Brohet, Leon M G Moons, Miangela M Laclé, Frank P Vleggaar, Henderik L van Westreenen, Wouter H de Vos Tot Nederveen Cappel","doi":"10.1245/s10434-025-16921-w","DOIUrl":"https://doi.org/10.1245/s10434-025-16921-w","url":null,"abstract":"<p><strong>Background: </strong>Similar to T1 colon cancer (CC), risk stratification may guide T2 CC treatment and reduce unnecessary major surgery. In this study, prediction models were developed that could identify T2 CC patients with a lower risk of lymph node metastasis (LNM) for whom (intensive) follow-up after local treatment could be considered.</p><p><strong>Methods: </strong>A nationwide cohort study was performed involving pT2 CC patients who underwent surgery between 2012 and 2020, using data from the Dutch ColoRectal Audit, which were linked to the Nationwide Pathology Databank. Four machine learning models were evaluated to predict LNM.</p><p><strong>Results: </strong>LNMs were found in 1877/9803 patients (19.1%). Independent risk factors included (younger) age (odds ratio [OR] 0.98, 95% confidence interval [CI] 0.979-0.990), left-sided CC (OR 1.5, 95% CI 1.4-1.7), poor differentiation (OR 1.7, 95% CI 1.4-2.2), and lymphovascular invasion (LVI; OR 4.1, 95% CI 3.6-4.7). A deficient mismatch repair (MMR) status significantly lowered the risk of LNM (OR 0.3, 95% CI 0.2-0.5). The general linear model demonstrated the highest prediction accuracy, achieving area under the receiver operating characteristic curves of 0.67 and 0.68, with good calibration. In the absence of risk factors, elderly patients (≥74 years of age) had a predicted risk of LNM of 10.7%, yet up to 30% experienced postoperative complications, with mortality rates reaching up to 3.5%. Patients with a deficient MMR status had a predicted risk of LNM of 6.1% if LVI was absent and the tumor was well-differentiated.</p><p><strong>Conclusions: </strong>The risk of LNM should be weighed against surgical risks. The findings of this study will enable clinicians to make more deliberate considerations about these competing risks before making a shared decision.</p>","PeriodicalId":8229,"journal":{"name":"Annals of Surgical Oncology","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143021924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kriyana P Reddy, Kathleen Jarrell, Cara Berkowitz, Sarah Hulse, Leisha C Elmore, Rebecca Fishman, Rachel A Greenup, Alina M Mateo, Jami D Rothman, Dahlia M Sataloff, Julia C Tchou, S Yousuf Zafar, Oluwadamilola M Fayanju
{"title":"ASO Visual Abstract: Association Between Delayed/Forgone Medical Care and Resource Utilization Among Women with Breast Cancer in the United States.","authors":"Kriyana P Reddy, Kathleen Jarrell, Cara Berkowitz, Sarah Hulse, Leisha C Elmore, Rebecca Fishman, Rachel A Greenup, Alina M Mateo, Jami D Rothman, Dahlia M Sataloff, Julia C Tchou, S Yousuf Zafar, Oluwadamilola M Fayanju","doi":"10.1245/s10434-024-16776-7","DOIUrl":"https://doi.org/10.1245/s10434-024-16776-7","url":null,"abstract":"","PeriodicalId":8229,"journal":{"name":"Annals of Surgical Oncology","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143021910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nolan M Winicki, Shannon N Radomski, Yusuf Ciftci, Fabian M Johnston, Jonathan B Greer
{"title":"Predicting Postoperative Infection After Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy with Splenectomy.","authors":"Nolan M Winicki, Shannon N Radomski, Yusuf Ciftci, Fabian M Johnston, Jonathan B Greer","doi":"10.1245/s10434-024-16728-1","DOIUrl":"https://doi.org/10.1245/s10434-024-16728-1","url":null,"abstract":"<p><strong>Background: </strong>Hematologic changes after splenectomy and hyperthermic intraperitoneal chemotherapy (HIPEC) can complicate postoperative assessment of infection. This study aimed to develop a machine-learning model to predict postoperative infection after cytoreductive surgery (CRS) and HIPEC with splenectomy.</p><p><strong>Methods: </strong>The study enrolled patients in the national TriNetX database and at the Johns Hopkins Hospital (JHH) who underwent splenectomy during CRS/HIPEC from 2010 to 2024. Demographics, comorbidities, vital signs, daily laboratory values, and documented infections were collected. The patients were divided into infected and non-infected cohorts within 14 days postoperatively. Extreme gradient boost (XGBoost) machine-learning was used to predict postoperative infection. An initial model was generated using the TriNetX dataset and externally validated in the JHH cohort.</p><p><strong>Results: </strong>From TriNetX, 1016 patients were included: 802 in the non-infected group (79%) and 214 (21%) in the postoperative infection group. The mean age was 61 ± 13 years, and 597 (56%) of the patientswere female. Most of the patients underwent CRS/HIPEC with splenectomy for appendiceal cancer (n = 590, 56%), followed by colorectal malignancy (n = 299, 29%). The remainder (n = 127, 15%) underwent CRS/HIPEC with splenectomy for gastric, pancreatic, ovarian, and small bowel malignancies or peritoneal mesothelioma. In detecting any infection, XGBoost exhibited excellent prediction accuracy (area under the receiver operating characteristic curve [AUC], 0.910 ± 0.073; F1 score, 0.915 ± 0.040) and retained high accuracy upon external validation with 96 demographically similar JHH patients (AUC, 0.823 ± 0.08; F1 score, 0.864 ± 0.03).</p><p><strong>Conclusion: </strong>A novel machine-learning algorithm was developed to predict postoperative infection after CRS/HIPEC with splenectomy that could aid in the early diagnosis and initiation of treatment.</p>","PeriodicalId":8229,"journal":{"name":"Annals of Surgical Oncology","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142999121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Malin Enblad, Peter Cashin, Lana Ghanipour, Wilhelm Graf
{"title":"Patterns of Preoperative Tumor Markers Can Predict Resectability and Prognosis of Peritoneal Metastases: A Clustering Analysis.","authors":"Malin Enblad, Peter Cashin, Lana Ghanipour, Wilhelm Graf","doi":"10.1245/s10434-024-16860-y","DOIUrl":"https://doi.org/10.1245/s10434-024-16860-y","url":null,"abstract":"<p><strong>Background: </strong>Prediction of open-close and long-term outcome is challenging in patients undergoing cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC). Prognostic scores often include factors not known at baseline. Therefore, we aimed to analyze whether patterns of preoperative tumor markers could aid in prediction of open-close surgery and outcome in patients with pseudomyxoma peritonei (PMP) or colorectal peritoneal metastases (PM).</p><p><strong>Patients and methods: </strong>All patients accepted for CRS and HIPEC for PMP or colorectal PM at Uppsala University Hospital in 2013-2021 were included. The tumor markers CEA, CA19-9, CA125, CA72-4, and CA15-3 were clustered using the k-means algorithm; the average silhouette width determined the optimal numbers of clusters.</p><p><strong>Results: </strong>Clustering of patients with PMP (n = 138) and colorectal PM (n = 213) resulted in two clusters each. PMPCluster-1 (n = 124) had a 5-year overall survival (OS) of 77% (95% CI 69-85%), 11 (9%) open-close surgeries, and a median peritoneal cancer index (PCI) of 17. PMPCluster-2 (n = 14) patients had poorer prognosis (36%, 95% CI 15-85%, p = 0.003), more often open-close (n = 6, 43%, p = 0.002), and higher PCI (median 36, p < 0.001). ColorectalCluster-1 (n = 191) had a 5-year OS of 28% (95% CI 21-37%), median PCI of 11, and 38 (20%) open-close surgeries. ColorectalCluster-2 (n = 22) had poorer prognosis (10%, 95% CI 3-36%, p = 0.02), higher PCI (median 26, p < 0.001), higher completeness of cytoreduction score (p = 0.005), but no difference in open-close surgery (n = 6, 27%, p = 0.411). PMPCluster-2 and ColorectalCluster-2 were characterized by markedly elevated tumor markers. Open-close surgery was unusual in cases of normal CA72-4.</p><p><strong>Conclusions: </strong>Elevation of several preoperative tumor markers is associated with poor prognosis and increased risk of open-close. CA72-4 deserves increased attention.</p>","PeriodicalId":8229,"journal":{"name":"Annals of Surgical Oncology","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142999120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anke Christenhusz, Nushin Mirzaei, Andreas Karakatsanis, Staffan Eriksson, Fredrik Wärnberg, Roger Olofsson Bagge, Job van der Palen, Julia Simanowski, Sadaf Salamzadeh, Bennie Ten Haken, Anneriet Dassen, Lejla Alic
{"title":"ASO Visual Abstract: Magnetic Sentinel Lymph Node Biopsy in Early Breast Cancer Patients: An Individual Patient Data Meta-Analysis of Tracer Uptake.","authors":"Anke Christenhusz, Nushin Mirzaei, Andreas Karakatsanis, Staffan Eriksson, Fredrik Wärnberg, Roger Olofsson Bagge, Job van der Palen, Julia Simanowski, Sadaf Salamzadeh, Bennie Ten Haken, Anneriet Dassen, Lejla Alic","doi":"10.1245/s10434-024-16780-x","DOIUrl":"https://doi.org/10.1245/s10434-024-16780-x","url":null,"abstract":"","PeriodicalId":8229,"journal":{"name":"Annals of Surgical Oncology","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143021913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Funda Sirakaya, Ebru Calik Kutukcu, Mehmet Ruhi Onur, Erkan Dikmen, Ulas Kumbasar, Serkan Uysal, Riza Dogan
{"title":"Re: The Effects of Various Approaches to Lobectomies on Respiratory Muscle Strength, Diaphragm Thickness, and Exercise Capacity in Lung Cancer Re: Enhancing Respiration Function Evaluation and Recovery in Lung Cancer: The Interdisciplinary Approach to Postoperative Management.","authors":"Funda Sirakaya, Ebru Calik Kutukcu, Mehmet Ruhi Onur, Erkan Dikmen, Ulas Kumbasar, Serkan Uysal, Riza Dogan","doi":"10.1245/s10434-024-16865-7","DOIUrl":"https://doi.org/10.1245/s10434-024-16865-7","url":null,"abstract":"","PeriodicalId":8229,"journal":{"name":"Annals of Surgical Oncology","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142999122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ASO Author Reflections: Young Age Predicts Higher Rate of Pathological Complete Response in Rectal Cancer.","authors":"Annaclara Sileo, Richard Sassun, David W Larson","doi":"10.1245/s10434-025-16926-5","DOIUrl":"https://doi.org/10.1245/s10434-025-16926-5","url":null,"abstract":"","PeriodicalId":8229,"journal":{"name":"Annals of Surgical Oncology","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143021909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}