The reproducibility of handcrafted radiomic features (HRFs) has been reported to be affected by variations in imaging parameters, which significantly affect the generalizability of developed signatures and translation to clinical practice. However, the collective effect of the variations in imaging parameters on the reproducibility of HRFs remains unclear, with no objective measure to assess it in the absence of reproducibility analysis. We assessed these effects of variations in a large number of scenarios and developed the first quantitative score to assess the reproducibility of CT-based HRFs without the need for phantom or reproducibility studies. We further assessed the potential of image resampling and ComBat harmonization for removing these effects. Our findings suggest a need for radiomics-specific harmonization methods. Our developed score should be considered as a first attempt to introduce comprehensive metrics to quantify the reproducibility of CT-based handcrafted radiomic features. More research is warranted to demonstrate its validity in clinical contexts and to further improve it, possibly by the incorporation of more realistic situations, which better reflect real patients' situations.
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http://dx.doi.org/10.3390/cancers14071599 | DOI Listing |
Acta Orthop
January 2025
Department of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg; Department of Orthopaedics, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden.
Background And Purpose: Computed tomography radiostereometric analysis (CT-RSA) assesses implant micromovements using low-dose CT scans. We aimed to investigate whether CT-RSA is comparable to marker-based radiostereometric analysis (RSA) measuring early femoral head migration in cemented stems. We hypothesized that CT-RSA is comparable to marker-based RSA in evaluating femoral head subsidence.
View Article and Find Full Text PDFIn Vivo
December 2024
Department of Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany;
Background/aim: The recently published Node-Reporting and Data System (Node-RADS) can aid the characterization of lymph nodes in cross-sectional imaging. This study investigated the Node-RADS system in computed tomography (CT) to characterize lymph nodes in esophageal cancer.
Patients And Methods: Overall, 126 patients (15 female, 11.
Ethiop J Health Sci
October 2024
Department of Radiology, School of Medicine, Addis Ababa University, Addis Ababa, Ethiopia.
Background: Cervical cancer remains a significant challenge in developing countries, with many patients diagnosed at advanced stages. The clinical staging of cervical cancer is guided by the International Federation of Obstetrics and Gynecology (FIGO) guidelines, while computed tomography (CT) and magnetic resonance imaging (MRI) offer valuable supplemental information. This study aimed to evaluate the initial clinical and imaging stages of cervical cancer and to assess the agreement between these staging methods.
View Article and Find Full Text PDFAbdom Radiol (NY)
December 2024
All India Institute of Medical Sciences, Ansari Nagar East, New Delhi, 110029, India.
Purpose: To assess diagnostic accuracy of perfusion CT (pCT) based biomarkers in differentiating clear-cell renal cell carcinoma (ccRCC) from non-ccRCC.
Materials And Method: This retrospective study comprised 95 patients with RCCs (70 ccRCCs and 25 non-ccRCCs) who had perfusion CT (pCT) before surgery between January 2017 and December 2022. Two readers independently recorded PCT parameters [blood flow (BF), blood volume (BV), mean transit time (MTT), and time to peak (TTP)] by drawing a circular ROI on the tumor.
Int J Chron Obstruct Pulmon Dis
December 2024
Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, People's Republic of China.
Background: Chronic obstructive pulmonary disease (COPD) is a major global health concern, and while traditional pulmonary function tests are effective, recent radiomics advancements offer enhanced evaluation by providing detailed insights into the heterogeneous lung changes.
Purpose: To develop and validate a radiomics nomogram based on clinical and whole-lung computed tomography (CT) radiomics features to stratify COPD severity.
Patients And Methods: One thousand ninety-nine patients with COPD (including 308, 132, and 659 in the training, internal and external validation sets, respectively), confirmed by pulmonary function test, were enrolled from two institutions.
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