Objective: To evaluate the associations between intravoxel incoherent motion (IVIM)-derived parameters and histopathological features and subtypes of breast cancer.
Methods: Pre-operative MRI from 275 patients with unilateral breast cancer was analyzed. The apparent diffusion coefficient (ADC) and IVIM parameters [tissue diffusion coefficient (Dt), perfusion fraction (fp) and pseudodiffusion coefficient] were obtained from cancer and normal tissue using diffusion-weighted imaging with b-values of 0, 30, 70, 100, 150, 200, 300, 400, 500 and 800 s mm(-2). We then compared the IVIM parameters of tumours with different histopathological features and subtypes.
Results: The ADC and Dt were lower and fp was higher in cancers than in normal tissues (p < 0.001). The Dt was lower in high Ki-67 cancer than in low Ki-67 cancer (p = 0.019), whereas ADC showed no significant difference (p = 0.309). Luminal B [human epidermal growth factor receptor 2 (HER2)-negative] cancer showed lower ADC (p = 0.003) and Dt (p = 0.001) than other types.
Conclusion: We found low tissue diffusivity in high Ki-67 cancer and luminal B (HER2-negative) cancer using IVIM imaging.
Advances In Knowledge: Low tissue diffusivity is more clearly shown in high Ki-67 tumours and luminal B (HER2-negative) tumours with the IVIM model.
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http://dx.doi.org/10.1259/bjr.20160140 | DOI Listing |
J Dent Sci
January 2025
Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, Republic of Korea.
Background/purpose: This study analyzed the clinical and imaging features of lingual mandibular bone depression (LMBD) in the anterior mandible, aiming to prevent misdiagnosis and unnecessary surgical procedures.
Materials And Methods: The patients who visited a university dental hospital for painless radiolucency in the anterior mandible from January 2010 to December 2022 were retrospectively reviewed. Twelve cases of LMBD in the anterior mandible that are confirmed by biopsy or long-term follow-up were identified.
Cureus
December 2024
Medical Oncology, Mohammed VI University Hospital, Oujda, MAR.
Desmoplastic melanoma is a rare and distinct subtype of cutaneous melanoma, it presents diagnostic challenges due to the lack of specific clinical features and overlapping histopathological characteristics with other malignancies, which necessitate careful clinicopathological correlation and advanced immunohistochemical profiling. While surgical excision remains the cornerstone of treatment, advances in precision medicine, particularly immune checkpoint inhibitors, have shown promise in improving outcomes for unresectable and metastatic desmoplastic melanoma. We present a case study involving a 52-year-old woman misdiagnosed with a malignant peripheral nerve sheath tumor and later identified as desmoplastic melanoma through re-evaluation of histopathological and immunohistochemical findings.
View Article and Find Full Text PDFWorld J Hepatol
January 2025
Ganzhou Institute of Liver Disease, Department of Hepatology, Ganzhou Fifth People's Hospital, Ganzhou 341000, Jiangxi Province, China.
Background: Liver function of chronic hepatitis B (CHB) patients is essentially normal after treatment with antiviral drugs. In rare cases, persistently abnormally elevated α-fetoprotein (AFP) is seen in CHB patients following long-term antiviral treatment. However, in the absence of imaging evidence of liver cancer, a reasonable explanation for this phenomenon is still lacking.
View Article and Find Full Text PDFMicrosc Res Tech
January 2025
Information Science and Engineering, Basaveshwar Engineering College, Visvesvaraya Technological University, Belagavi, India.
Endometrial cancer, termed uterine cancer, seriously affects female reproductive organs, and the analysis of histopathological images formed a golden standard for diagnosing this cancer. Sometimes, early detection of this disease is difficult because of the limited capability of modeling complicated relationships among histopathological images and their interpretations. Moreover, many previous methods do not effectively handle the cell appearance variations.
View Article and Find Full Text PDFBMC Bioinformatics
January 2025
Centre for Big Data Research in Health, University of New South Wales, Sydney, Australia.
Background: Due to the complexity and cost of preparing histopathological slides, deep learning-based methods have been developed to generate high-quality histological images. However, existing approaches primarily focus on spatial domain information, neglecting the periodic information in the frequency domain and the complementary relationship between the two domains. In this paper, we proposed a generative adversarial network that employs a cross-attention mechanism to extract and fuse features across spatial and frequency domains.
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