Modelling the lymphatic metastatic progression pathways of OPSCC from multi-institutional datasets.

Ludwig, Roman; Schubert, Adrian Daniel; Barbatei, Dorothea; Bauwens, Lauence; Hoffmann, Jean-Marc; Werlen, Sandrine; Elicin, Olgun; Dettmer, Matthias; Zrounba, Philippe; Pouymayou, Bertrand; Balermpas, Panagiotis; Grégoire, Vincent; Giger, Roland; Unkelbach, Jan (2024). Modelling the lymphatic metastatic progression pathways of OPSCC from multi-institutional datasets. Scientific Reports, 14(15750) Nature Publishing Group 10.1038/s41598-024-66012-1

[img]
Preview
Text
s41598-024-66012-1.pdf - Published Version
Available under License Creative Commons: Attribution (CC-BY).

Download (4MB) | Preview

The elective clinical target volume (CTV-N) in oropharyngeal squamous cell carcinoma (OPSCC) is currently based mostly on the prevalence of lymph node metastases in different lymph node levels (LNLs) for a given primary tumor location. We present a probabilistic model for ipsilateral lymphatic spread that can quantify the microscopic nodal involvement risk based on an individual patient's T-category and clinical involvement of LNLs at diagnosis. We extend a previously published hidden Markov model (HMM), which models the LNLs (I, II, III, IV, V, and VII) as hidden binary random variables (RVs). Each represents a patient's true state of lymphatic involvement. Clinical involvement at diagnosis represents the observed binary RVs linked to the true state via sensitivity and specificity. The primary tumor and the hidden RVs are connected in a graph. Each edge represents the conditional probability of metastatic spread per abstract time-step, given disease at the edge's starting node. To learn these probabilities, we draw Markov chain Monte Carlo samples from the likelihood of a dataset (686 OPSCC patients) from three institutions. We compute the model evidence using thermodynamic integration for different graphs to determine which describes the data best.The graph maximizing the model evidence connects the tumor to each LNL and the LNLs I through V in order. It predicts the risk of occult disease in level IV is below 5% if level III is clinically negative, and that the risk of occult disease in level V is below 5% except for advanced T-category (T3 and T4) patients with clinical involvement of levels II, III, and IV. The provided statistical model of nodal involvement in OPSCC patients trained on multi-institutional data may guide the design of clinical trials on volume-deescalated treatment of OPSCC and contribute to more personal guidelines on elective nodal treatment.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Ear, Nose and Throat Disorders (ENT)
04 Faculty of Medicine > Service Sector > Institute of Pathology > Clinical Pathology
04 Faculty of Medicine > Service Sector > Institute of Pathology
04 Faculty of Medicine > Department of Haematology, Oncology, Infectious Diseases, Laboratory Medicine and Hospital Pharmacy (DOLS) > Clinic of Radiation Oncology

UniBE Contributor:

Schubert, Adrian, Eliçin, Olgun, Dettmer, Matthias, Giger, Roland

Subjects:

600 Technology > 610 Medicine & health
500 Science > 570 Life sciences; biology

ISSN:

2045-2322

Publisher:

Nature Publishing Group

Language:

English

Submitter:

Pubmed Import

Date Deposited:

09 Jul 2024 09:33

Last Modified:

10 Jul 2024 08:07

Publisher DOI:

10.1038/s41598-024-66012-1

PubMed ID:

38977731

BORIS DOI:

10.48350/198713

URI:

https://boris.unibe.ch/id/eprint/198713

Actions (login required)

Edit item Edit item
Provide Feedback