Literature DB >> 30767041

Morphological predictors for lymph node metastases on computed tomography in colon cancer.

Erik Rollvén1, Lennart Blomqvist2, Emma Öistämö3, Fredrik Hjern4, György Csanaky5, Mirna Abraham-Nordling6.   

Abstract

INTRODUCTION/
BACKGROUND: The aim of the study was to assess morphological predictors for lymph node metastases (Stage III disease) in colon cancer on computed tomography. METHODS AND MATERIALS: Ninety-four patients with histology-proven colon cancer (adenocarcinoma) who underwent elective primary curative resection between the years 2012 and 2014 were included. Contrast-enhanced CT examinations were independently reviewed by two blinded observers regarding tumor location, depth of tumor invasion, and presence of lymph node metastases. Ocular presence of internal heterogeneity and presence of irregular outer border were used as morphological criteria for lymph node involvement. Protocol-based histopathology after curative surgery served as reference standard. Sensitivity, specificity, positive (PPV) and negative (NPV) predictive values, and accuracy for each morphological criterion for prediction of stage III disease were calculated. Inter-observer agreement was compared using Kappa statistics.
RESULTS: According to histopathology, 59 patients were staged as I-II disease and 35 patients were staged as stage III disease. The presence of internal heterogeneity in a lymph node on CT resulted in moderate sensitivity (66-77%) but high specificity (95-95%) for prediction of Stage III disease by both observers. The presence of irregular outer border also resulted in poor sensitivity (49-54%) but high specificity (97-97%). The combination of either internal heterogeneity and/or irregular outer border per patient resulted in a moderate sensitivity (67-77%) and high specificity (95-95%), PPV (89-96%), and NPV (84-88%). Inter-observer agreement (Cohens Kappa) was 0.72. Consensus reading for the combined criteria resulted in sensitivity and specificity of 69% and 100%, respectively.
CONCLUSION: Using morphological criteria for lymph node metastases on CT examination in patients with colon cancer results in high specificity but moderate sensitivity in predicting stage III disease.

Entities:  

Keywords:  Colon cancer; Computed tomography; Lymph nodes; Stage III; Staging

Mesh:

Substances:

Year:  2019        PMID: 30767041     DOI: 10.1007/s00261-019-01900-z

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  10 in total

1.  Transabdominal Ultrasonography for Preoperative Diagnosis of Lymph Node Metastasis in Colon Cancer: A Retrospective Cohort Study.

Authors:  Ken Imaizumi; Shigenori Homma; Mutsumi Nishida; Takeshi Soyama; Ryosuke Shimura; Yusuke Kudo; Satomi Omotehara; Isao Yokota; Ryo Takagi; Hiroki Matsui; Yoichi Miyaoka; Nobuki Ichikawa; Tadashi Yoshida; Norihiko Takahashi; Akinobu Taketomi
Journal:  Cancer Diagn Progn       Date:  2022-03-03

2.  Optimization of Preoperative Lymph Node Staging in Patients with Muscle-Invasive Bladder Cancer Using Radiomics on Computed Tomography.

Authors:  Martijn P A Starmans; Li Shen Ho; Fokko Smits; Nick Beije; Inge de Kruijff; Joep J de Jong; Diederik M Somford; Egbert R Boevé; Ed Te Slaa; Evelyne C C Cauberg; Sjoerd Klaver; Antoine G van der Heijden; Carl J Wijburg; Addy C M van de Luijtgaarden; Harm H E van Melick; Ella Cauffman; Peter de Vries; Rens Jacobs; Wiro J Niessen; Jacob J Visser; Stefan Klein; Joost L Boormans; Astrid A M van der Veldt
Journal:  J Pers Med       Date:  2022-04-30

3.  Reporting colon cancer staging using a template.

Authors:  Malene Roland V Pedersen; Claus Dam; Martina Loft; Søren R Rafaelsen
Journal:  Eur J Radiol Open       Date:  2020-01-29

4.  Assessment of a Staging System for Sigmoid Colon Cancer Based on Tumor Deposits and Extramural Venous Invasion on Computed Tomography.

Authors:  Nigel D'Souza; Annabel Shaw; Amy Lord; Svetlana Balyasnikova; Muti Abulafi; Paris Tekkis; Gina Brown
Journal:  JAMA Netw Open       Date:  2019-12-02

Review 5.  Imaging findings of gastrointestinal tract tumors in children and adolescents.

Authors:  H Nursun Özcan; Özlem Özkale Yavuz; Saniye Ekinci; Berna Oguz; Tezer Kutluk; Mithat Haliloglu
Journal:  Insights Imaging       Date:  2022-03-22

6.  Value of Clinical Information on Radiology Reports in Oncological Imaging.

Authors:  Felix Schön; Rebecca Sinzig; Felix Walther; Christoph Georg Radosa; Heiner Nebelung; Maria Eberlein-Gonska; Ralf-Thorsten Hoffmann; Jens-Peter Kühn; Sophia Freya Ulrike Blum
Journal:  Diagnostics (Basel)       Date:  2022-06-30

7.  Radiomic Cancer Hallmarks to Identify High-Risk Patients in Non-Metastatic Colon Cancer.

Authors:  Damiano Caruso; Michela Polici; Marta Zerunian; Antonella Del Gaudio; Emanuela Parri; Maria Agostina Giallorenzi; Domenico De Santis; Giulia Tarantino; Mariarita Tarallo; Filippo Maria Dentice di Accadia; Elsa Iannicelli; Giovanni Maria Garbarino; Giulia Canali; Paolo Mercantini; Enrico Fiori; Andrea Laghi
Journal:  Cancers (Basel)       Date:  2022-07-15       Impact factor: 6.575

8.  Can Cross-Sectional Imaging Reliably Determine Pathological Staging of Right-Sided Colon Cancers and Select Patients for More Radical Surgery or Neo-Adjuvant Treatment?

Authors:  Florence Shekleton; Edward Courtney; Adrian Andreou; John Bunni
Journal:  Cureus       Date:  2022-09-06

9.  Accuracy of various criteria for lymph node staging in ductal adenocarcinoma of the pancreatic head by computed tomography and magnetic resonance imaging.

Authors:  Florian N Loch; Patrick Asbach; Matthias Haas; Hendrik Seeliger; Katharina Beyer; Christian Schineis; Claudius E Degro; Georgios A Margonis; Martin E Kreis; Carsten Kamphues
Journal:  World J Surg Oncol       Date:  2020-08-18       Impact factor: 2.754

10.  Preoperative assessment of lymph node metastasis in Colon Cancer patients using machine learning: a pilot study.

Authors:  Aydin Eresen; Yu Li; Jia Yang; Junjie Shangguan; Yury Velichko; Vahid Yaghmai; Al B Benson; Zhuoli Zhang
Journal:  Cancer Imaging       Date:  2020-04-25       Impact factor: 3.909

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.