Objective: To determine the diagnostic value of haemodynamic contrast-enhanced ultrasound assessment in benign and malignant breast tissue, using histological examination as the reference standard.
Methods: An HDI 5000 Phillips ultrasound scanner with microvascular imaging software and 2.5 ml SonoVue (Bracco spa, Milan) contrast was used to scan 50 consecutive patients (32 malignant and 18 benign, 49 with histologically confirmed breast lesions). Time-intensity curves of the regions of interest (ROI) placed over the lesional and normal breast tissues were acquired using QLAB software. The area under the curve (AUC), time to peak (TTP), in-flow gradient (IFG) and peak enhancement (PE) were determined in a standardised manner for each focal breast lesion and the control/normal breast. IFG and AUC in the periphery, and PE and AUC in the centre of the lesions, differed significantly between malignant and benign tumours. In a logistical regression model, AUC in the periphery and the ratio of PE at the tumour centre to that of normal breast were independently predictive of malignancy (p < 0.001), achieving a diagnostic sensitivity of 97% and a specificity of 80% in the 41 tumours in which central vessels could be distinguished.
Conclusion: Haemodynamic contrast-enhanced ultrasound assessment can be used to distinguish between benign and malignant breast lesions.
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BMC Cancer
January 2025
Department of Urology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
Background: To develop and test the performance of a fully automated system for classifying renal tumor subtypes via deep machine learning for automated segmentation and classification.
Materials And Methods: The model was developed using computed tomography (CT) images of pathologically proven renal tumors collected from a prospective cohort at a medical center between March 2016 and December 2020. A total of 561 renal tumors were included: 233 clear cell renal cell carcinomas (RCCs), 82 papillary RCCs, 74 chromophobe RCCs, and 172 angiomyolipomas.
Insights Imaging
January 2025
Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Objectives: To develop and validate radiomics and deep learning models based on contrast-enhanced MRI (CE-MRI) for differentiating dual-phenotype hepatocellular carcinoma (DPHCC) from HCC and intrahepatic cholangiocarcinoma (ICC).
Methods: Our study consisted of 381 patients from four centers with 138 HCCs, 122 DPHCCs, and 121 ICCs (244 for training and 62 for internal tests, centers 1 and 2; 75 for external tests, centers 3 and 4). Radiomics, deep transfer learning (DTL), and fusion models based on CE-MRI were established for differential diagnosis, respectively, and their diagnostic performances were compared using the confusion matrix and area under the receiver operating characteristic (ROC) curve (AUC).
Eur J Surg Oncol
January 2025
Division of Hepatobiliary and Pancreatic Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan. Electronic address:
Background: The efficacy of local control for pancreatic cancer liver metastases (PCLM), including surgical treatment, remains controversial, with no consensus on the management and clinical significance of disappearing liver metastases (DLMs). This study aimed to evaluate the clinical implications of DLMs in treating PCLM after multi-agent chemotherapy, utilizing contrast-enhanced imaging modalities.
Methods: A retrospective analysis was conducted on patients who underwent curative resection for pancreatic cancer with synchronous or metachronous liver metastases between 2014 and 2023.
Eur Radiol
January 2025
Department of Radiology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Objectives: To analyze the CT imaging features of extranodal natural killer/T (NK/T)-cell lymphoma, nasal type (ENKTCL-NT) involving the gastrointestinal tract (GI), and to compare them with those of Crohn's disease (CD) and diffuse large B-cell lymphoma (DLBCL).
Materials And Methods: Data were retrospectively collected from 17 patients diagnosed with GI ENKTCL-NT, 68 patients with CD, and 47 patients with DLBCL. The CT findings of ENKTCL-NT were analyzed and compared with those of CD and DLBCL.
J Clin Gastroenterol
January 2025
The Third Central Hospital of Tianjin, Hedong District.
Goals: To explore dynamic contrast-enhanced ultrasound (CEUS) parameters in predicting hepatic vein pressure gradient (HVPG) for patients with liver cirrhosis (LC).
Background: Noninvasive diagnosis of HVPG remains a challenge.
Study: This prospective study included patients with LC undergoing hepatic vein catheterization and pressure measurement at the hospital from May 2021 to January 2023.
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