The Complexity of Shapes : How the Circularity of Tumor Nodules Affects Prognosis in Colorectal Cancer

Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved..

The current stratification of tumor nodules in colorectal cancer (CRC) staging is subjective and leads to high interobserver variability. In this study, the objective assessment of the shape of lymph node metastases (LNMs), extranodal extension (ENE), and tumor deposits (TDs) was correlated with outcomes. A test cohort and a validation cohort were included from 2 different institutions. The test cohort consisted of 190 cases of stage III CRC. Slides with LNMs and TDs were annotated and processed using a segmentation algorithm to determine their shape. The complexity ratio was calculated for every shape and correlated with outcomes. A cohort of 160 stage III CRC cases was used to validate findings. TDs showed significantly more complex shapes than LNMs with ENE, which were more complex than LNMs without ENE (P < .001). In the test cohort, patients with the highest sum of complexity ratios had significantly lower disease-free survival (P < .01). When only the nodule with the highest complexity was considered, this effect was even stronger (P < .001). This maximum complexity ratio per patient was identified as an independent prognostic factor in the multivariate analysis (hazard ratio, 2.47; P < .05). The trends in the validation cohort confirmed the results. More complex nodules in stage III CRC were correlated with significantly worse disease-free survival, even if only based on the most complex nodule. These results suggest that more complex nodules reflect more invasive tumor biology. As most of the more complex nodules were diagnosed as TDs, we suggest providing a more prominent role for TDs in the nodal stage and include an objective complexity measure in their definition.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:37

Enthalten in:

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc - 37(2024), 1 vom: 04. Jan., Seite 100376

Sprache:

Englisch

Beteiligte Personen:

Brouwer, Nelleke P M [VerfasserIn]
Khan, Amjad [VerfasserIn]
Bokhorst, John-Melle [VerfasserIn]
Ayatollahi, Fazael [VerfasserIn]
Hay, Jennifer [VerfasserIn]
Ciompi, Francesco [VerfasserIn]
Simmer, Femke [VerfasserIn]
Hugen, Niek [VerfasserIn]
de Wilt, Johannes H W [VerfasserIn]
Berger, Martin D [VerfasserIn]
Lugli, Alessandro [VerfasserIn]
Zlobec, Inti [VerfasserIn]
Edwards, Joanne [VerfasserIn]
Nagtegaal, Iris D [VerfasserIn]

Links:

Volltext

Themen:

Artificial intelligence
Colorectal cancer
Extranodal extension
Journal Article
Lymph node metastases
Shape
Tumor deposits

Anmerkungen:

Date Completed 22.01.2024

Date Revised 22.01.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.modpat.2023.100376

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM364182695