This study focuses on the analysis of geometric descriptors that can be applied in breast cytology, and their correlation with the qualitative features, with the aim to underline the differences between the benign and malignant cell profile. The morphometric investigation was performed on smears obtained by fine needle aspiration, 10 cases (group 1) diagnosed as benign and 10 cases (group 2) as malignant. For group 2, the malignancy was histopathologically confirmed on the surgical resection specimen. The sequence of automated operation, previously reported by us, permitted the extraction of the following geometrical descriptors: cytoplasmic area, nuclear area, nucleo-cytoplasmic ratio, equivalent diameter and form factor. We analyzed the differences between the benign and malignant morphometric features, and the correlation between the malignant morphometric features and cytological, respectively histological grading. Statistically significant difference in cytoplasmic areas, nuclear areas, value of nucleo-cytoplasmic ratio and equivalent diameter was noted between group I and II. For the form factor, we did not register statistically significant differences. For group 2, the correlation between the morphometric features and cytological grading revealed that the nuclear area is the most valuable descriptor, due to the significant differences between the three successive grades of cytological severity, followed by the cytoplasmic area and equivalent diameter, their numerical values presenting significant differences between cytological grade 1 and 3, and 2 and 3, respectively. The statistical analysis between the morphometric features and histological grading showed that nuclear area and equivalent diameter are the most viable indicators, due to the significant differences present between the three successive grades of pathologic severity, followed by cytoplasmic area (significant differences only for grade 2 versus 3) and for nucleo-cytoplasmic ratio (significant differences only for grade 1 versus 2). The form factor does not provide information that could be correlated with the cytological or histological grading. The defined morphometric features enable the characterization of benign and malignant cells and provide objective criteria that could support a differentiation of benign from the malignant pathology in the cytological diagnosis.
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World J Surg Oncol
January 2025
Department of Gynecology, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing, 210004, China.
Background: To assess the effectiveness of tumor biomarkers in distinguishing epithelial ovarian tumors (EOTs) and guiding clinical decisions across each Ovarian-Adnexal Reporting and Data System (O-RADS) MRI risk category, the aim is to prevent unnecessary surgeries for benign lesions, avoid delays in treating malignancies, and benefit individuals requiring fertility preservation or those intolerant to over-extensive surgery.
Methods: A total of 54 benign, 104 borderline, and 203 malignant EOTs (BeEOTs, BEOTs and MEOTs) were enrolled and retrospectively assigned risk scores. The role of tumor biomarkers in diagnosing and managing EOTs within each risk category was evaluated by combining receiver operating characteristic (ROC) curves with clinicopathological characteristics.
Advances in imaging techniques have evolved, allowing for early noninvasive diagnosis and improved management of high-risk patients with hepatocellular carcinoma (HCC). The hallmark imaging features of HCC on multiphasic cross-sectional imaging can be explained by the multistep process of hepatocarcinogenesis and is seen in 60% of cases. However, approximately 40% of cases do not abide by the classic imaging appearance and may pose a diagnostic challenge for radiologists.
View Article and Find Full Text PDFAcad Radiol
January 2025
Department of Radiology, Southeast University Zhongda Hospital, No. 87 Dingjiaqiao Road, Gulou District, Nanjing, Jiangsu Province, China (M.Y., J.J.). Electronic address:
Rationale And Objectives: To develop radiomics and deep learning models for differentiating malignant and benign soft tissue tumors (STTs) preoperatively based on fat saturation T2-weighted imaging (FS-T2WI) of patients.
Materials And Methods: Data of 115 patients with STTs of extremities and trunk were collected from our hospital as the training set, and data of other 70 patients were collected from another center as the external validation set. Outlined Regions of interest included the intratumor and the peritumor region extending outward by 5 mm, then the corresponding radiomics features were extracted respectively.
Ultrasound Med Biol
January 2025
Department of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China. Electronic address:
Objective: To evaluate the added value of dynamic contrast-enhanced ultrasound (DCE-US) analysis in pre-operative differential diagnosis of small (≤20 mm) solid pancreatic lesions (SPLs).
Methods: In this retrospective study, patients with biopsy or surgerical resection and histopathologically confirmed small (≤20 mm) SPLs were included. One wk before biopsy/surgery, pre-operative B-mode ultrasound and contrast-enhanced ultrasound were performed.
Phys Med Biol
January 2025
Beijing institute of control and electronic technology, 51 Beilijia, Muxidi, Xicheng District, Beijing 100038, Beijing, 100038, CHINA.
Objective Ultrasound is the predominant modality in medical practice for evaluating thyroid nodules. Currently, diagnosis is typically based on textural information. This study aims to develop an automated texture classification approach to aid physicians in interpreting ultrasound images of thyroid nodules.
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