Objective: This study aimed to compare the diffusion kurtosis imaging (DKI) versus diffusion weighted imaging (DWI) in predicting the recurrence of early stage single nodules of hepatocellular carcinoma (HCC) treated by radiofrequency ablation (RFA).
Materials And Methods: A retrospective analysis of 107 patients with early stage single nodules of HCC was performed, all patients treated by RFA. Recurrence rate of HCC was recorded after a median follow-up of 36 months. During follow-up, the data of magnetic resonance imaging (MRI), DWI and DKI were obtained in multiple time points. The predictive values of DWI and DKI were analyzed using ROC curves.
Results: The overall recurrence rate was 66.3% (71/107). The sensitivity, specificity, and AUC for ADC, MD and MK after RFA (78.6, 73.3% and 0.842; 85.7, 83.3% and 0.839; 85.7, 96.7% and 0.956) were higher than before RFA (44.3, 53.3% and 0.560; 51.2, 56.7% and 0.543; 43.6, 67.3% and 0.489). The sensitivity, specificity, and AUC for MK after RFA were 85.7, 96.7%, and 0.956, respectively, which were significantly greater than those of ADC (78.6, 73.3% and 0.842; P < 0.05) and MD (85.7, 83.3% and 0.839).
Conclusions: The prediction efficacy of DKI for the recurrence of early stage single nodules of HCC was better than that of DWI. And, MK was the most sensitive predictor among the DKI.
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http://dx.doi.org/10.1186/s40644-019-0213-9 | DOI Listing |
Neoplasia
December 2024
Felsenstein Medical Research Center, Beilinson Campus, Petah Tikva, Israel; Tel Aviv University, Faculty of Medicine and Health Sciences, Tel Aviv, Israel; Rabin Medical Center, Beilinson Campus, Petah Tikva, Israel; Davidoff Cancer Center, Beilinson Campus, Petah Tikva, Israel. Electronic address:
Triple-negative breast cancer (TNBC) is an aggressive subtype that accounts for 10-15 % of breast cancer. Current treatment of high-risk early-stage TNBC includes neoadjuvant chemo-immune therapy. However, the substantial variation in immune response prompts an urgent need for new immune-targeting agents.
View Article and Find Full Text PDFAnn Clin Transl Neurol
December 2024
Department of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Objective: The short-term efficacy of red blood cell (RBC) transfusion among general traumatic brain injury (TBI) patients is unclear.
Methods: We used the MIMIC database to compare the efficacy of liberal (10 g/dL) versus conservative (7 g/dL) transfusion strategy in TBI patients. The outcomes were neurological progression (decrease of Glasgow coma scale (GCS) of at least 2 points) and death within 28 days of ICU admission.
Acad Med
October 2024
T.H. Champney is professor, Department of Cell Biology, University of Miami Miller School of Medicine, Miami, Florida; ORCID: https://orcid.org/0000-0002-0507-1663.
A new ethos of anatomy education goes beyond the learning of body parts in the traditional curriculum. In the traditional curriculum, the focus of only providing information on the structure of the human body left certain learning opportunities overlooked, marginalized, or dismissed as irrelevant; thus, opportunities to foster and shape professional attributes in health care learners were lost. Furthermore, changes in curricula structures and reductions in anatomy teaching hours have necessitated a transformation in how anatomy education is perceived and delivered.
View Article and Find Full Text PDFPLoS One
December 2024
Specialized Neurological Practice, Neurological Office, Chrząstowice, Poland.
The study examines the morphometric development of the anterior cranial fossa in human fetuses and its clinical implications. The anterior cranial fossa, crucial for protecting the frontal lobes, was analyzed during prenatal development using innovative computer image processing techniques. We hypothesized that the growth of the anterior cranial fossa is not uniform throughout fetal development and that changing geometric relationships are important for possible therapeutic interventions in cases of congenital defects.
View Article and Find Full Text PDFJ Med Internet Res
December 2024
School of Automation, Central South University, Changsha, China.
Background: Private-part skin diseases (PPSDs) can cause a patient's stigma, which may hinder the early diagnosis of these diseases. Artificial intelligence (AI) is an effective tool to improve the early diagnosis of PPSDs, especially in preventing the deterioration of skin tumors in private parts such as Paget disease. However, to our knowledge, there is currently no research on using AI to identify PPSDs due to the complex backgrounds of the lesion areas and the challenges in data collection.
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