Computed tomography in the diagnosis of intraperitoneal effusions: The role of texture analysis

Authors

  • Csaba Csutak Radiology and Imaging Department, County Emergency Hospital, Cluj-Napoca, Cluj, Romania; Radiology, Surgical Specialties Department, “Iuliu Haţieganu” University of Medicine and Pharmacy, Cluj-Napoca, Cluj, Romania https://orcid.org/0000-0001-6669-6483
  • Paul-Andrei Ștefan Radiology and Imaging Department, County Emergency Hospital, Cluj-Napoca, Cluj, Romania; Anatomy and Embryology, Morphological Sciences Department, “Iuliu Haţieganu” University of Medicine and Pharmacy, Cluj-Napoca, Cluj, Romania https://orcid.org/0000-0001-5358-2137
  • Roxana-Adelina Lupean “Dominic Stanca” Obstetrics and Gynecology Clinic, County Emergency Hospital, Cluj-Napoca, Cluj, Romania; Histology, Morphological Sciences Department, “Iuliu Hațieganu” University of Medicine and Pharmacy, Cluj-Napoca, Cluj, Romania https://orcid.org/0000-0003-1780-4542
  • Lavinia Manuela Lenghel Radiology and Imaging Department, County Emergency Hospital, Cluj-Napoca, Cluj, Romania; Radiology, Surgical Specialties Department, “Iuliu Haţieganu” University of Medicine and Pharmacy, Cluj-Napoca, Cluj, Romania https://orcid.org/0000-0002-7341-498X
  • Carmen Mihaela Mihu Radiology and Imaging Department, County Emergency Hospital, Cluj-Napoca, Cluj, Romania; Histology, Morphological Sciences Department, “Iuliu Hațieganu” University of Medicine and Pharmacy, Cluj-Napoca, Cluj, Romania https://orcid.org/0000-0002-9419-4824
  • Andrei Lebovici Radiology and Imaging Department, County Emergency Hospital, Cluj-Napoca, Cluj, Romania; Radiology, Surgical Specialties Department, “Iuliu Haţieganu” University of Medicine and Pharmacy, Cluj-Napoca, Cluj, Romania https://orcid.org/0000-0002-2815-2132

DOI:

https://doi.org/10.17305/bjbms.2020.5048

Keywords:

Ascites, computed tomography, CT, diagnostic-aid, image processing, texture-based analysis

Abstract

The morphological changes advocating for peritoneal carcinomatosis are inconsistent and may be visible only in later stages of the disease. However, malignant ascites represents an early sign, and this fluid exhibits specific histological characteristics. This study aimed to quantify the fluid properties on computed tomography (CT) images of intraperitoneal effusions through texture analysis and evaluate its utility in differentiating benign and malignant collections. Fifty-two patients with histologically proven benign (n=29) and malignant (n=23) intraperitoneal effusions who underwent CT examinations were retrospectively included. Texture analysis of the fluid component was performed on the non-enhanced phase of each examination using dedicated software. Fisher and the probability of classification error and average correlation coefficients were used to select two sets of ten texture features, whose ability to distinguish between the two types of collections were tested using a k-nearest-neighbor classifier. Also, each of the selected feature’s diagnostic power was assessed using univariate and receiver operating characteristics analysis with the calculation of the area under the curve. The k-nearest-neighbor classifier was able to distinguish between the two entities with 71.15% accuracy, 73.91% sensitivity, and 68.97% specificity. The highest-ranked texture parameter was Inverse Difference Moment (p=0.0023; area under the curve=0.748), based on which malignant collections could be diagnosed with 95.65% sensitivity and 44.83% specificity. Although successful, the texture assessment of benign and malignant collections most likely does not reflect the cytological differences between the two groups.

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Author Biographies

  • Csaba Csutak, Radiology and Imaging Department, County Emergency Hospital, Cluj-Napoca, Cluj, Romania; Radiology, Surgical Specialties Department, “Iuliu Haţieganu” University of Medicine and Pharmacy, Cluj-Napoca, Cluj, Romania

    Radiology, Surgical Specialties Department, “Iuliu Haţieganu” University of Medicine and Pharmacy; Clinicilor street, number 3-5, Cluj-Napoca, 400006, Cluj, Romania;

  • Paul-Andrei Ștefan, Radiology and Imaging Department, County Emergency Hospital, Cluj-Napoca, Cluj, Romania; Anatomy and Embryology, Morphological Sciences Department, “Iuliu Haţieganu” University of Medicine and Pharmacy, Cluj-Napoca, Cluj, Romania

    Anatomy and Embryology, Morphological Sciences Department, “Iuliu Haţieganu” University of Medicine and Pharmacy; Victor Babeș street, number 8, Cluj-Napoca, 400012, Cluj, Romania;

  • Carmen Mihaela Mihu, Radiology and Imaging Department, County Emergency Hospital, Cluj-Napoca, Cluj, Romania; Histology, Morphological Sciences Department, “Iuliu Hațieganu” University of Medicine and Pharmacy, Cluj-Napoca, Cluj, Romania

    Professor

Computed tomography in the diagnosis of intraperitoneal effusions: The role of texture analysis

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Published

01-08-2021

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Section

New and Emerging Methods

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How to Cite

1.
Computed tomography in the diagnosis of intraperitoneal effusions: The role of texture analysis. Biomol Biomed [Internet]. 2021 Aug. 1 [cited 2024 Dec. 6];21(4):488-94. Available from: https://www.bjbms.org/ojs/index.php/bjbms/article/view/5048