Purpose: To assess the value of the noise-optimized virtual monoenergetic imaging (VMI+) technique on quantitative and qualitative image parameters in patients with hypoattenuating liver metastases from colorectal cancer (CRC) at abdominal dual-energy CT (DECT).

Materials And Methods: Fifty-three consecutive patients (mean age, 70.3 ± 11.4 years; range, 44-86 years) with histologically proven, hypoattenuating liver metastases from CRC were retrospectively included in this IRB-approved study. DECT datasets were reconstructed as standard linearly-blended M_0.6 image series, traditional virtual monoenergetic images (VMI), and noise-optimized VMI+ series. VMI and VMI+ reconstructions were obtained at energy levels ranging from 40 to 100-keV with 10-keV increments. Signal attenuation of liver parenchyma and liver metastases was measured to calculate signal-to-noise (SNR) and contrast-to-noise (CNR) ratios. Each image series was subjectively rated by three blinded radiologists with regard to image quality, lesion delineation, and image noise using a five-point Likert scale.

Results: Quantitative image quality parameters peaked at 40-keV VMI+ (SNR, 8.1 ± 3.4; CNR, 6.5 ± 2.6) with statistically significant differences in comparison with standard reconstructions and all traditional VMI series (P ≤  0.001). Qualitative image analysis revealed best rating scores for 60-keV VMI+ series (median, 5) with significant differences compared to linearly-blended M_0.6 and all traditional VMI series (P ≤  0.001). Lesion delineation showed significantly superior ratings for 40-keV VMI+ series compared to all other reconstructions (median, 5) (P ≤  0.001).

Conclusion: Low-keV VMI+ reconstructions demonstrate significantly increased quantitative and qualitative image quality parameters in patients with hypoattenuating liver metastases from CRC in comparison with standard reconstructions and traditional VMI series at abdominal DECT. Best lesion delineation can be achieved at 40-keV VMI+.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ejrad.2018.07.027DOI Listing

Publication Analysis

Top Keywords

liver metastases
20
hypoattenuating liver
16
virtual monoenergetic
12
qualitative image
12
vmi+ series
12
image quality
12
lesion delineation
12
40-kev vmi+
12
traditional vmi
12
vmi series
12

Similar Publications

Introduction: Breast cancer liver metastasis presents a significant challenge in clinical oncology, with limited treatment options and poor prognosis. This case series study explores the extended survival achieved in breast cancer patients with liver metastases through a combination of surgical and medical interventions.

Case Presentation: We present three cases of Javanese female patients with breast cancer (51 years old, 42 years old, and 55 years old) with liver metastases who underwent hepatic resection followed by systemic therapy.

View Article and Find Full Text PDF

Objective: To evaluate the efficacy and safety of the continuing immunotherapy as subsequent therapy in extensive-stage small cell lung cancer (ES-SCLC) patients who have progressed after initial immunotherapy.

Methods: A retrospective analysis was conducted on patients with ES-SCLC who experienced disease progression after receiving programmed cell death ligand 1 (PD-L1) inhibitors combined with standard chemotherapy as first-line treatment at three sites in China. Patients were divided into two groups according to whether to continue second-line immunotherapy.

View Article and Find Full Text PDF

Identifying subgroups deriving the most benefit from PD-1 checkpoint inhibition plus chemotherapy in advanced metastatic triple-negative breast cancer: a systematic review and meta-analysis.

World J Surg Oncol

December 2024

Department of Radiation Oncology, Guangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou, Guangdong, 510095, People's Republic of China.

Background: The combination of immunotherapy and chemotherapy has demonstrated an enhancement in progression-free survival (PFS) for individuals with advanced and metastatic triple-negative breast cancer (TNBC) when compared to the use of chemotherapy alone. Nevertheless, the extent to which different subgroups of metastatic TNBC patients experience this benefit remains uncertain.

Objectives: Our objective was to conduct subgroup analyses to more precisely identify the factors influencing these outcomes.

View Article and Find Full Text PDF

Prognostic value of metabolic tumor volume on [F]FDG PET/CT in addition to the TNM classification system of locally advanced non-small cell lung cancer.

Cancer Imaging

December 2024

Department of Translational Imaging in Oncology, National Center for Tumor Diseases (NCT/UCC) Dresden, Medical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Fetscherstraße 74, Dresden, 01307, Germany.

Purpose: Staging of non-small cell lung cancer (NSCLC) is commonly based on [F]FDG PET/CT, in particular to exclude distant metastases and guide local therapy approaches like resection and radiotherapy. Although it is hoped that PET/CT will increase the value of primary staging compared to conventional imaging, it is generally limited to the characterization of TNM. The first aim of this study was to evaluate the PET parameter metabolic tumor volume (MTV) above liver background uptake as a prognostic marker in lung cancer.

View Article and Find Full Text PDF
Article Synopsis
  • The study evaluates outcomes for patients with advanced lung cancer receiving palliative radiotherapy at the Fast Track Lung Clinic, focusing on treatment responses and survival factors.
  • Among 558 patients, a significant 70% showed treatment response, with higher rates linked to better performance status and specific genetic mutations, while those treated for neurological symptoms had lower responses.
  • Key factors affecting overall survival included age, performance status, smoking habits, and the presence of metastases, highlighting the complexity of managing advanced lung cancer.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!