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Lymph node metastases and recurrence in pT1 colorectal cancer: Prediction with the International Budding Consortium Score-A retrospective, multi-centric study.
Dawson, Heather; Bokhorst, John-Melle; Studer, Linda; Vieth, Michael; Oguz Erdogan, Ayse Selcen; Kus Öztürk, Sonay; Kirsch, Richard; Brockmoeller, Scarlett; Cathomas, Gieri; Buslei, Rolf; Fink, David; Roumet, Marie; Zlobec, Inti; van der Laak, Jeroen; Nagtegaal, Iris D; Lugli, Alessandro.
Affiliation
  • Dawson H; Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland.
  • Bokhorst JM; Department of Pathology, Radboudumc, Nijmegen, the Netherlands.
  • Studer L; Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland.
  • Vieth M; Institute of Artificial Intelligence and Complex Systems, University of Applied Sciences and Arts Western Switzerland, Fribourg, Switzerland.
  • Oguz Erdogan AS; Institute of Pathology, Friedrich-Alexander-University Erlangen-Nuremberg, Klinikum Bayreuth, Bayreuth, Germany.
  • Kus Öztürk S; Department of Pathology, Radboudumc, Nijmegen, the Netherlands.
  • Kirsch R; Department of Pathology, Radboudumc, Nijmegen, the Netherlands.
  • Brockmoeller S; Pathology and Laboratory Medicine, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada.
  • Cathomas G; Pathology and Data Analytics, Leeds Institute of Medical Research at St. James's School of Medicine, Leeds, UK.
  • Buslei R; Institute of Pathology, Kantonsspital Baselland, Liestal, Switzerland.
  • Fink D; Institut und Praxis für Pathologie, Neuropathologie, Molekulare Diagnostik und Zytologie, Sozialstiftung Bamberg, Bamberg, Germany.
  • Roumet M; Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas, USA.
  • Zlobec I; Clinical Trials Unit, University of Bern, Bern, Switzerland.
  • van der Laak J; Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland.
  • Nagtegaal ID; Department of Pathology, Radboudumc, Nijmegen, the Netherlands.
  • Lugli A; Department of Pathology, Radboudumc, Nijmegen, the Netherlands.
United European Gastroenterol J ; 12(3): 299-308, 2024 Apr.
Article de En | MEDLINE | ID: mdl-38193866
ABSTRACT

BACKGROUND:

The International Collaboration on Cancer Reporting proposes histological tumour type, lymphovascular invasion, tumour grade, perineural invasion, extent, and dimensions of invasion as risk factors for lymph node metastases and tumour progression in completely endoscopically resected pT1 colorectal cancer (CRC).

OBJECTIVE:

The aim of the study was to propose a predictive and reliable score to optimise the clinical management of endoscopically resected pT1 CRC patients.

METHODS:

This multi-centric, retrospective International Budding Consortium (IBC) study included an international pT1 CRC cohort of 565 patients. All cases were reviewed by eight expert gastrointestinal pathologists. All risk factors were reported according to international guidelines. Tumour budding and immune response (CD8+ T-cells) were assessed with automated models using artificial intelligence. We used the information on risk factors and least absolute shrinkage and selection operator logistic regression to develop a prediction model and generate a score to predict the occurrence of lymph node metastasis or cancer recurrence.

RESULTS:

The IBC prediction score included the following parameters lymphovascular invasion, tumour buds, infiltration depth and tumour grade. The score has an acceptable discrimination power (area under the curve of 0.68 [95% confidence intervals (CI) 0.61-0.75]; 0.64 [95% CI 0.57-0.71] after internal validation). At a cut-off of 6.8 points to discriminate high-and low-risk patients, the score had a sensitivity and specificity of 0.9 [95% CI 0.8-0.95] and 0.26 [95% 0.22, 0.3], respectively.

CONCLUSION:

The IBC score is based on well-established risk factors and is a promising tool with clinical utility to support the management of pT1 CRC patients.
Sujet(s)
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Intelligence artificielle / Tumeurs colorectales Type d'étude: Clinical_trials / Guideline / Prognostic_studies / Risk_factors_studies Limites: Humans Langue: En Journal: United European Gastroenterol J Année: 2024 Type de document: Article Pays d'affiliation: Suisse Pays de publication: Royaume-Uni

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Intelligence artificielle / Tumeurs colorectales Type d'étude: Clinical_trials / Guideline / Prognostic_studies / Risk_factors_studies Limites: Humans Langue: En Journal: United European Gastroenterol J Année: 2024 Type de document: Article Pays d'affiliation: Suisse Pays de publication: Royaume-Uni