Texture Analysis in Uterine Cervix Carcinoma: Primary Tumour and Lymph Node Assessment.

Autor: Ștefan PA; Department of Biomedical Imaging and Image-Guided Therapy, General Hospital of Vienna (AKH), Medical University of Vienna, 1090 Vienna, Austria.; Anatomy and Embryology, Morphological Sciences Department, 'Iuliu Haţieganu' University of Medicine and Pharmacy, Victor Babeș Street, Number 8, 400012 Cluj-Napoca, Romania.; Radiology and Imaging Department, County Emergency Hospital, Clinicilor Street, Number 3-5, 400006 Cluj-Napoca, Romania., Coțe A; Clinical Surgery Department 1, Emergency Clinical County Hospital Oradea, 65 Gheorghe Doja Street, Bihor, 410169 Oradea, Romania., Csutak C; Radiology and Imaging Department, County Emergency Hospital, Clinicilor Street, Number 3-5, 400006 Cluj-Napoca, Romania.; Radiology and Imaging, Surgical Specialties Department, 'Iuliu Haţieganu' University of Medicine and Pharmacy, Clinicilor Street, Number 3-5, 400006 Cluj-Napoca, Romania., Lupean RA; Histology, Morphological Sciences Department, 'Iuliu Hațieganu' University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania.; Obstetrics and Gynecology Clinic II, County Emergency Hospital Cluj-Napoca, 21 Decembrie 1989 Boulevard, Number 55, 400094 Cluj-Napoca, Romania., Lebovici A; Radiology and Imaging Department, County Emergency Hospital, Clinicilor Street, Number 3-5, 400006 Cluj-Napoca, Romania.; Radiology and Imaging, Surgical Specialties Department, 'Iuliu Haţieganu' University of Medicine and Pharmacy, Clinicilor Street, Number 3-5, 400006 Cluj-Napoca, Romania., Mihu CM; Radiology and Imaging Department, County Emergency Hospital, Clinicilor Street, Number 3-5, 400006 Cluj-Napoca, Romania.; Histology, Morphological Sciences Department, 'Iuliu Hațieganu' University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania., Lenghel LM; Radiology and Imaging Department, County Emergency Hospital, Clinicilor Street, Number 3-5, 400006 Cluj-Napoca, Romania.; Radiology and Imaging, Surgical Specialties Department, 'Iuliu Haţieganu' University of Medicine and Pharmacy, Clinicilor Street, Number 3-5, 400006 Cluj-Napoca, Romania., Pușcas ME; Oncological Surgery and Gynaecologic Oncology, Surgery Department, 'Iuliu Hatieganu' University of Medicine and Pharmacy, 400006 Cluj-Napoca, Romania.; General Surgery Department, Institute of Oncology 'Prof. Dr. Ion Chiricuta', 400006 Cluj-Napoca, Romania., Roman A; Radiology and Imaging Department, County Emergency Hospital, Clinicilor Street, Number 3-5, 400006 Cluj-Napoca, Romania.; Radiology and Imaging Department, Institute of Oncology 'Prof. Dr. Ion Chiricuta', 400006 Cluj-Napoca, Romania., Feier D; Radiology and Imaging Department, County Emergency Hospital, Clinicilor Street, Number 3-5, 400006 Cluj-Napoca, Romania.; Radiology and Imaging, Surgical Specialties Department, 'Iuliu Haţieganu' University of Medicine and Pharmacy, Clinicilor Street, Number 3-5, 400006 Cluj-Napoca, Romania.
Jazyk: angličtina
Zdroj: Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2023 Jan 26; Vol. 13 (3). Date of Electronic Publication: 2023 Jan 26.
DOI: 10.3390/diagnostics13030442
Abstrakt: The conventional magnetic resonance imaging (MRI) evaluation and staging of cervical cancer encounters several pitfalls, partially due to subjective evaluations of medical images. Fifty-six patients with histologically proven cervical malignancies (squamous cell carcinomas, n = 42; adenocarcinomas, n = 14) who underwent pre-treatment MRI examinations were retrospectively included. The lymph node status (non-metastatic lymph nodes, n = 39; metastatic lymph nodes, n = 17) was assessed using pathological and imaging findings. The texture analysis of primary tumours and lymph nodes was performed on T2-weighted images. Texture parameters with the highest ability to discriminate between the two histological types of primary tumours and metastatic and non-metastatic lymph nodes were selected based on Fisher coefficients (cut-off value > 3). The parameters' discriminative ability was tested using an k nearest neighbour (KNN) classifier, and by comparing their absolute values through an univariate and receiver operating characteristic analysis. Results: The KNN classified metastatic and non-metastatic lymph nodes with 93.75% accuracy. Ten entropy variations were able to identify metastatic lymph nodes (sensitivity: 79.17-88%; specificity: 93.48-97.83%). No parameters exceeded the cut-off value when differentiating between histopathological entities. In conclusion, texture analysis can offer a superior non-invasive characterization of lymph node status, which can improve the staging accuracy of cervical cancers.
Databáze: MEDLINE
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