Objectives: To investigate whether diffusion-weighted imaging (DWI) apparent diffusion coefficient (ADC) correlates with prostate cancer aggressiveness and further to compare the diagnostic performance of ADC and normalized ADC (nADC: normalized to non-tumor tissue).
Patients And Methods: Thirty pre-treatment patients (mean age, 69years; range: 59-78years) with prostate cancer underwent magnetic resonance imaging (MRI) examination, including DWI with three b values: 50, 400, and 800s/mm. Both ADC and nADC were correlated with the Gleason score obtained through transrectal ultrasound-guided biopsy.
Results: The tumor minimum ADC (ADC: the lowest ADC value within tumor) had an inverse correlation with the Gleason score (r=-0.43, P<0.05), and it was lower in patients with Gleason score 3+4 than in those with Gleason score 3+3 (0.54±0.11×10mm/s vs. 0.64±0.12×10mm/s, P<0.05). Both the nADC and nADC correlated with the Gleason score (r=-0.52 and r=-0.55, P<0.01; respectively), and they were lower in patients with Gleason score 3+4 than those with Gleason score 3+3 (P<0.01; respectively). Receiver operating characteristic (ROC) analysis showed that the area under the ROC curve was 0.765, 0.818, or 0.833 for the ADC, nADC, or nADC; respectively, in differentiating between Gleason score 3+4 and 3+3 tumors.
Conclusion: Tumor ADC, nADC, and nADC are useful markers to predict the aggressiveness of prostate cancer.
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http://dx.doi.org/10.1016/j.diii.2016.08.009 | DOI Listing |
Bioengineering (Basel)
January 2025
Promaxo Inc., Oakland, CA 94607, USA.
This study evaluates the feasibility of using Haralick texture analysis on low-field, T2-weighted MRI images for detecting prostate cancer, extending current research from high-field MRI to the more accessible and cost-effective low-field MRI. A total of twenty-one patients with biopsy-proven prostate cancer (Gleason score 4+3 or higher) were included. Before transperineal biopsy guided by low-field (58-74mT) MRI, a radiologist annotated suspicious regions of interest (ROIs) on high-field (3T) MRI.
View Article and Find Full Text PDFPol J Pathol
January 2025
Department of Breast Surgery, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology and Hubei Provincial Clinical Research Center for Breast Cancer, Wuhan, Hubei, P. R. China.
Low-grade myofibroblastic sarcoma is an uncommon malignancy that can be difficult to identify and for which there is no unified treatment protocol. We report herein a case of an 81-year-old male who presented with a giant irregular breast mass and was diagnosed with low-grade myofibroblastic sarcoma. In this study we summarise the clinicopathological features of 13 reported cases of myofibroblastic sarcoma arising in the breast, present the diagnostic process and treatment procedure of our case, and discuss the differential diagnosis from other similar diseases, to provide constructive information and promote deep understanding of myofibroblastic sarcoma in the future.
View Article and Find Full Text PDFUrologia
January 2025
Department of Urology, IPGMER and SSKM Hospital, Kolkata, West Bengal, India.
Background: Exploring the potential of as a diagnostic biomarker in prostate cancer.
Methods: Expression of the lncRNA was analyzed between normal and tumor samples in the GDC TCGA PRAD (Genomic Data Commons: The Cancer Genome Atlas Prostate Adenocarcinoma Collection) dataset. Disease progression-related clinicopathological parameters such as serum PSA level (ng/ml) and Gleason score were associated with the expression of using the same GDC TCGA PRAD dataset.
Neurosurg Rev
January 2025
Department of Neurosurgery, Mount Sinai Hospital, Icahn School of Medicine, New York City, NY, USA.
Currently, the World Health Organization (WHO) grade of meningiomas is determined based on the biopsy results. Therefore, accurate non-invasive preoperative grading could significantly improve treatment planning and patient outcomes. Considering recent advances in machine learning (ML) and deep learning (DL), this meta-analysis aimed to evaluate the performance of these models in predicting the WHO meningioma grade using imaging data.
View Article and Find Full Text PDFJ Cancer Res Clin Oncol
January 2025
Department of Gynecology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Objective: In advanced ovarian cancer, the majority of patients receive anti-angiogenic treatment with bevacizumab. However, its use is often associated with severe side effects, and not all patients benefit from the therapy. Currently, there are no reliable biomarkers to predict response to treatment.
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