Rationale And Objectives: Improvements in the diagnosis of early breast cancers depend on a physician's ability to obtain the information necessary to distinguish nonpalpable malignant and benign tumors. Viscoelastic features that describe mechanical properties of tissues may help to distinguish these types of lesions.
Materials And Methods: Twenty-one patients with nonpalpable, pathology-confirmed Breast Imaging Reporting and Data System (BIRADS) 4 or 5 breast lesions (10 benign, 11 malignant) detected by mammography were studied. Viscoelastic parameters were extracted from a time sequence of ultrasonic strain images, and differences in the parameters between malignant and benign tumors were compared. Parametric data were color coded and superimposed on sonograms.
Results: The strain retardance time parameter, T(1), provided the best discrimination between malignant and benign tumors (P < .01). T(1) measures the time required for tissues to fully deform (strain) once compressed; therefore, it describes the time-varying viscous response of tissue to a small deforming force. Compared to the surrounding background tissues, malignant lesions have smaller average T(1) values, whereas benign lesions have higher T(1) values. This tissue-specific contrast correlates with known changes in the extracellular matrix of breast stroma.
Conclusion: Characterization of nonpalpable breast lesions is improved by the addition of viscoelastic strain imaging parameters. The differentiation of malignant and benign BI-RADS 4 or 5 tumors is especially evident with the use of the retardation time estimates, T(1).
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http://dx.doi.org/10.1016/j.acra.2008.05.023 | DOI Listing |
Pathol Res Pract
December 2024
IIND Department of Gynecological Oncology and Gynecological Surgery, Lublin Medical University, Lublin, Poland. Electronic address:
Although mature ovarian teratoma (MOT) is one of the most commonly detected benign tumours worldwide, its malignant transformation is rare. This article presents a case of a 47-year-old woman, operated on for emergency reasons due to a giant painful ovarian tumour, showing preoperatively no signs of malignancy. Surprisingly, a pathological report showed MOT coexisting with an early-stage ovarian adenocarcinoma developing as an endophytic papilloma.
View Article and Find Full Text PDFAm Surg
January 2025
Department of Hepatobiliary and Pancreatic Surgery, East Hospital of Yantai Mountain Hospital, Yantai, China.
Objective: This study was aimed at ascertaining the application value of abnormal prothrombin (PIVKA-II) and carbohydrate antigen 125 (CA125) in gallbladder cancer (GBC) diagnosis.
Methods: A total of 70 GBC patients, 70 patients with benign gallbladder diseases (gallbladder stones and gallbladder polyps), and 70 normal health examination people were selected as the malignant, benign, and normal groups, respectively. The differences in serum levels and positive rates of PIVKA-II and CA125 were compared.
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 PDFSci Rep
January 2025
Department of MRI, Zhongshan City People's Hospital, No. 2, Sunwen East Road, Shiqi District, Zhongshan, 528403, Guangdong, China.
To investigate the potential of an MRI-based radiomic model in distinguishing malignant prostate cancer (PCa) nodules from benign prostatic hyperplasia (BPH)-, as well as determining the incremental value of radiomic features to clinical variables, such as prostate-specific antigen (PSA) level and Prostate Imaging Reporting and Data System (PI-RADS) score. A restrospective analysis was performed on a total of 251 patients (training cohort, n = 119; internal validation cohort, n = 52; and external validation cohort, n = 80) with prostatic nodules who underwent biparametric MRI at two hospitals between January 2018 and December 2020. A total of 1130 radiomic features were extracted from each MRI sequence, including shape-based features, gray-level histogram-based features, texture features, and wavelet features.
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