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Objectives: To evaluate the role of change in apparent diffusion coefficient (ADC) histogram after the first transarterial chemoembolization (TACE) in predicting overall and transplant-free survival in well-circumscribed hepatocellular carcinoma (HCC).
Methods: Institution database was searched for HCC patients who got conventional TACE during 2005-2016. One hundred four patients with well-circumscribed HCC and complete pre- and post-TACE liver MRI were included. Volumetric MRI metrics including tumor volume, mean ADC, skewness, and kurtosis of ADC histograms were measured. Univariate and multivariable Cox models were used to test the independent role of change in imaging parameters to predict survival. P values < 0.05 were considered significant.
Results: In total, 367 person-years follow-up data were analyzed. After adjusting for baseline liver function, tumor volume, and treatment modality, incremental percent change in ADC (ΔADC) was an independent predictor of longer overall and transplant-free survival (p = 0.009). Overall, a decrease in ADC-kurtosis (ΔkADC) showed a strong role in predicting longer survival (p = 0.021). Patients in the responder group (ΔADC ≥ 35%) had the best survival profile, compared with non-responders (ΔADC < 35%) (p < 0.001). ΔkADC, as an indicator of change in tissue homogeneity, could distinguish between poor and fair survival in non-responders (p < 0.001). It was not a measure of difference among responders (p = 0.244). Non-responders with ΔkADC ≥ 1 (homogeneous post-TACE tumor) had the worst survival outcome (HR = 5.70, p < 0.001), and non-responders with ΔkADC < 1 had a fair survival outcome (HR = 2.51, p = 0.029), compared with responders.
Conclusions: Changes in mean ADC and ADC kurtosis, as a measure of change in tissue heterogeneity, can be used to predict overall and transplant-free survival in well-circumscribed HCC, in order to monitor early response to TACE and identify patients with treatment failure and poor survival outcome.
Key Points: • Changes in the mean and kurtosis of ADC histograms, as the measures of change in tissue heterogeneity, can be used to predict overall and transplant-free survival in patients with well-defined HCC. • A ≥ 35% increase in volumetric ADC after TACE is an independent predictor of good survival, regardless of the change in ADC histogram kurtosis. • In patients with < 35% ADC change, a decrease in ADC histogram kurtosis indicates partial response and fair survival, while ∆kurtosis ≥ 1 correlates with the worst survival outcome.
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http://dx.doi.org/10.1007/s00330-020-07237-2 | DOI Listing |
Med Phys
September 2025
Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China.
Background: Advanced diffusion models have been introduced to improve characterization of tissue microstructure in breast cancer assessment.
Purpose: This study aimed to evaluate the diagnostic utility of monoexponential apparent diffusion coefficient (ADC), time-dependent diffusion magnetic resonance imaging (td-dMRI), and the Continuous-Time Random-Walk (CTRW) diffusion model for differentiating breast lesions and predicting Ki-67 expression levels.
Methods: Fifty-three consecutive patients with suspected breast lesions undergoing preoperative MRI were enrolled in this prospective investigation.
Pol J Radiol
July 2025
University of Health Sciences, Dr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital, Ankara, Türkiye.
Purpose: The purpose of this study was to determine the effectiveness of ADC histogram analysis in diagnosing and determining the aggressiveness of peripheral zone (PZ) prostate cancer, and to reveal the relationship between Gleason and PI-RADS scores.Material and method: 61 patients who underwent standard 12-core and cognitive prostate biopsy and multiparametric prostate magnetic resonance imaging before biopsy were included in the study. According to the pathology results, patients were classified as either having clinically significant cancer with malignancy ( = 35) or as clinically insignificant - benign ( = 26).
View Article and Find Full Text PDFBJR Open
January 2025
Adem Crosby Centre-Radiation Oncology, Sunshine Coast University Hospital, Birtinya, QLD 4575, Australia.
Objectives: Xerostomia toxicity continues to contribute towards a decrease in quality of life in head and neck cancer patients. Diffusion weighted MRI and the associated apparent diffusion coefficient (ADC) may identify the radiosensitive region within the parotid gland (PG). This study retrospectively assesses the feasibility of using percentile threshold values from the ADC map to generate a biological at-risk volume (BRV).
View Article and Find Full Text PDFOptical single-sideband (SSB) transmission enhances spectral efficiency and mitigates transmission reach limitations caused by chromatic dispersion (CD), making it ideal for cost-effective data-center interconnects. This paper proposes and demonstrates deep neural network (DNN)-enabled optical performance monitoring (OPM) for optical SSB transmissions. By extracting features dependent on both carrier-to-signal power ratio (CSPR) and optical signal-to-noise ratio (OSNR) from amplitude histograms (AHs) generated by an AC-coupled photodetector (PD) and an analog-to-digital converter (ADC), a low-complexity dual-task DNN (DT-DNN) is employed to jointly estimate CSPR and OSNR with high accuracy.
View Article and Find Full Text PDFFront Neurol
July 2025
Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Background And Purpose: Distinguishing between high-grade glioma (HGG) and primary central nervous system lymphoma (PCNSL) is of paramount clinical importance, as these entities necessitate substantially different therapeutic approaches. The differential diagnosis becomes particularly challenging when HGG presents without characteristic magnetic resonance imaging (MRI) features, making it difficult to differentiate from PCNSL. The diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) offer quantitative assessments of water molecule diffusion within tissues, thereby providing potential means to characterize microstructural differences between HGG and PCNSL.
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