Outcome of complex surgical resection and reconstruction for rare thoracic cancers: the clinical value of a predictive score
Pastorino, U.; Leuzzi, G.; Sabia, F.; Girotti, P.; Duranti, L.; Radaelli, S.; Fiore, M.; Stacchiotti, S.; Giannatempo, P.; Salvioni, R.; Gronchi, A.
Show abstract
BackgroundComplex surgical resection and reconstruction for rare thoracic cancers (RTCs) represent a major challenge, given their very low frequency, extreme variability of presentation, multi-modality treatment options and inadequate outcome prediction. We reported the experience of a tertiary referral centre on a consecutive series of RTC patients, to predict outcome by disease and complexity of surgical procedures. MethodsFrom Jan 2003 to Dec 2018, 1122 surgical procedures were performed with curative intent on 952 RTC patients. Study endpoints were: post-operative hospital stay (Pod), 30-day and 90-day mortality, 5-year and 10-year survival (OS). The follow-up was closed at June 2020. ResultsMedian Pod was 8 days, with a 2% 30-day and 3.9% 90-day mortality. Overall survival (OS) was 85.7% at 1 year, 61.7% at 5 years and 50.7% at 10 years. Ten-year OS was 64.8% in low, 58.8% in intermediate, and 42.4% in high complexity score (Log-rank tests p<0.0001); 64.4% in patients with 1 or 2 reconstructions and 32.8% in patients with 3 or more reconstructions; 44.5% with vascular and 48% with chest wall reconstruction; 71.8% in germ cell tumors and 0% in mesothelioma. ConclusionComplex surgical resection and reconstruction was associated with acceptable 90-day mortality and good 10-year survival in all RTCs but mesothelioma. A predictive score based on surgical complexity and cancer type can help the clinical decision making.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Tissue Factor Expression in Penile Squamous Cell Carcinoma: A Marker of HPV-Independent Disease 92%
- Use of high-plex data reveals novel insights into the tumour microenvironment of clear cell renal cell carcinoma 91%
- COL7A1 expression improves prognosis prediction for patients with clear cell renal cell carcinoma atop of stage 91%
Similar papers in this journal
- Distinct metastatic organotropism shapes prognosis in lung adenocarcinoma with brain metastasis 92%
- Factors affecting COVID-19 outcomes in cancer patients - A first report from Guys Cancer Centre in London 90%
- Establishment and validation of pre-therapy cervical vertebrae muscle quantification as a prognostic marker of sarcopenia in head and neck patients receiving definitive cancer surgery 90%
Similar papers in this journal
- Survival benefits of cytoreductive nephrectomy in patients with metastatic renal cell carcinoma: evidence from a SEER-based retrospective cohort study 93%
- Survival benefit of adjuvant therapy following neoadjuvant therapy in patients with resected esophageal cancer: a retrospective cohort study 92%
- Nationwide incidence of sarcomas and connective tissue tumors of intermediate malignancy over four years using an expert pathology review network. 91%
Similar papers in this journal
- Pan-cancer analyses of the associations between 109 pre-existing conditions and cancer treatment patterns across 19 adult cancers 92%
- Causes of Death and Comorbidities in Patients with COVID-19 90%
- Development and Characterization of Patient-Derived Xenografts from Non-Small Cell Lung Cancer Brain Metastases 90%
Similar papers in this journal
- Clinical Characteristics, Racial Inequities, and Outcomes in Patients with Breast Cancer and COVID-19: A COVID-19 and Cancer Consortium (CCC19) Cohort Study 91%
- International Multicenter Study Comparing Cancer to Non-Cancer Patients with COVID-19: Impact of Risk Factors and Treatment Modalities on Survivorship 91%
- The impact of lag time to cancer diagnosis and treatment on clinical outcomes prior to the COVID-19 pandemic: a scoping review of systematic reviews and meta-analyses 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.