ArticleScientific reports2020
Spectral photon-counting CT imaging of colorectal peritoneal metastases: initial experience in rats.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 25 citations in OpenAlex.
- K-Edge imaging using a clinical dual-source photon-counting CT system.Journal of applied clinical medical physics · 2026Article
- Lumen imaging in calcified coronary arteries using high-resolution Gd-enhanced color K-edge imaging with spectral photon-counting CT: a phantom study.European radiology experimental · 2026Article
- Spectral CT imaging in colorectal cancer: current applications, limitations, and future perspectives.Insights into imaging · 2026Review
- CT and MR in peritoneal malignancies: pearls and pitfalls at preoperative examination.Insights into imaging · 2025Article
- Imaging in malignant peritoneal neoplasms.Abdominal radiology (New York) · 2025Review
- Imaging Evaluation of Peritoneal Metastasis: Current and Promising Techniques.Korean journal of radiology · 2024Review
- Clinical Applications of Photon-counting CT: A Review of Pioneer Studies and a Glimpse into the Future.Radiology · 2023Review
- Imaging in translational cancer research.Cancer biology & medicine · 2022Review
- Advances in the management of peritoneal malignancies.Nature reviews. Clinical oncology · 2022Review
- Spectral CT in peritoneal carcinomatosis from ovarian cancer: a tool for differential diagnosis of small nodules?European radiology experimental · 2022Article
- Spectral Photon-Counting Computed Tomography: A Review on Technical Principles and Clinical Applications.Journal of imaging · 2022Review
- A Prediction Model Intended for Exploratory Laparoscopy Risk Stratification in Colorectal Cancer Patients With Potential Occult Peritoneal Metastasis.Frontiers in oncology · 2022Article
- Correlation with Spectral CT Imaging Parameters and Occult Lymph Nodes Metastases in Sufferers with Isolated Lung Adenocarcinoma.Contrast media & molecular imaging · 2022Article
- Spectral Photon-Counting CT Technology in Chest Imaging.Journal of clinical medicine · 2021Review
- In Vivo Molecular K-Edge Imaging of Atherosclerotic Plaque Using Photon-counting CT.Radiology · 2021Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Computed tomography imaging plays a major role in the preoperative assessment of tumor burden by providing an accurate mapping of the distribution of peritoneal metastases (PM). Spectral Photon Counting Computed Tomography (SPCCT) is an innovative imaging modality that could overcome the current limitations of conventional CT, offering not only better spatial resolution but also better contrast resolution by allowing the discrimination of multiple contrast agents. Based on this capability, we tested the feasibility of SPCCT in the detection of PM at different time of tumor growth in 16 rats inoculated with CC531 cells using dual-contrast injection protocols in two compartments (i.e. intravenous iodine and intraperitoneal gadolinium or the reverse protocol), compared to surgery. For all peritoneal regions and for both protocols, sensitivity was 69%, specificity was 100% and accuracy was 80%, and the correlation with surgical exploration was strong (p = 0.97; p = 0.0001). No significant difference was found in terms of diagnostic performance, quality of peritoneal opacification or diagnostic quality between the 2 injection protocols. We also showed poor vascularization of peritoneal metastases by measuring low concentrations of contrast agent in the largest lesions using SPCCT, which was confirmed by immunohistochemical analyses. In conclusion, SPCCT using dual-contrast agent injection protocols in 2 compartments is a promising imaging modality to assess the extent of PM in a rat model.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.