(Lancet Oncology[TA])
10,338 results
  • International multisociety Delphi consensus for liver tumour thermal ablation: procedural and practice standards. [Review]
    Lancet Oncol. 2026 May; 27(5):e259-e270.Laimer G, Johnston EW, … Bale RLO
  • Thermal ablation offers a safer, less invasive, and more cost-effective curative-intent treatment for selected patients with primary and metastatic liver tumours than surgery; when done with appropriate technique, ablation can deliver similar oncological outcomes. However, effectiveness in routine practice varies because structured training, planning, and procedural governance remain scarce. Thes…
  • International multisociety Delphi consensus for liver tumour thermal ablation: margin assessment. [Review]
    Lancet Oncol. 2026 May; 27(5):e248-e258.Paolucci I, Overduin CG, … Odisio BCLO
  • This multisociety, multidisciplinary consensus-formally endorsed by the European Society of Surgical Oncology, the Cardiovascular and Interventional Radiological Society of Europe, and the Society of Interventional Oncology-was developed to standardise the assessment of ablation margins in liver tumour thermal ablation. A modified Delphi process, consisting of two online surveys and a hybrid (onl…
  • Bayesian sequential learning for prognostication in extremity soft tissue sarcoma (BayeSarc): a retrospective, multicentre cohort study. [Multicenter Study]
    Lancet Oncol. 2026 May; 27(5):637-648.Callegaro D, Tinè G, … Miceli RLO
  • CONCLUSIONS: BayeSarc is a continuously updatable, accurate, and precise prognostic tool for soft tissue sarcomas in the extremities. It reduces uncertainty, adapts to temporal changes, and refines variable weights. Its incorporation into the Sarculator app enables immediate clinical use, with potential to improve patient counselling, guide treatment decisions, and refine trial design. More broadly, the BSL framework provides an innovative and generalisable approach to prognostication in rare cancers, moving beyond the traditional two-step development-validation paradigm, enabling more efficient use of patient data.