Semiautomatic Segmentation and Radiomics for Dual-Energy CT: A Pilot Study to Differentiate Benign and Malignant Hepatic Lesions-Reference-Cited by-同舟云学术

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Semiautomatic Segmentation and Radiomics for Dual-Energy CT: A Pilot Study to Differentiate Benign and Malignant Hepatic Lesions

Published:2020-08 Issue:2 Volume:215 Page:398-405
ISSN:0361-803X
Container-title:American Journal of Roentgenology
language:en
Short-container-title:American Journal of Roentgenology

Author:

Homayounieh Fatemeh¹,Singh Ramandeep¹,Nitiwarangkul Chayanin¹²,Lades Felix³,Schmidt Bernhard³,Sedlmair Martin³,Saini Sanjay¹,Kalra Mannudeep K.¹

Affiliation:

1. Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 75 Blossom Ct, Rm 248, Boston, MA 02114.

2. Department of Diagnostic and Therapeutic Radiology, Ramathibodi Hospital, Bangkok, Thailand.

3. Imaging & Therapy Systems, CT & Radiation Oncology, Siemens Healthineers, Forchheim, Germany.

Publisher

American Roentgen Ray Society

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://www.ajronline.org/doi/pdf/10.2214/AJR.19.22164

Reference19 articles.

1. Material density iodine images in dual-energy CT: Detection and characterization of hypervascular liver lesions compared to magnetic resonance imaging

2. Spectral CT imaging in the differential diagnosis of necrotic hepatocellular carcinoma and hepatic abscess

3. Quantitative analysis of the dual-energy CT virtual spectral curve for focal liver lesions characterization

4. Pathologic stratification of operable lung adenocarcinoma using radiomics features extracted from dual energy CT images

5. Characterization of Small Incidental Indeterminate Hypoattenuating Hepatic Lesions: Added Value of Single-Phase Contrast-Enhanced Dual-Energy CT Material Attenuation Analysis

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1. Leveraging radiomics and AI for precision diagnosis and prognostication of liver malignancies;Frontiers in Oncology;2024-05-08

2. Study of radiomics based on dual-energy CT for nuclear grading and T-staging in renal clear cell carcinoma;Medicine;2024-03-08

3. Correlation of Radiomics with Treatment Response in Liver Metastases;Academic Radiology;2023-12

4. A novel Gateaux derivatives with efficient DCNN-Resunet method for segmenting multi-class brain tumor;Medical & Biological Engineering & Computing;2023-06-20

5. A systematic review and meta-analysis of spectral CT to differentiate focal liver lesions;Clinical Radiology;2023-06

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