ArticleJapanese journal of radiology2024
Spectral CT in the evaluation of perineural invasion status in rectal cancer.
Article in Japanese journal of radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Dual-layer spectral detector computed tomography of peritumoral fat for preoperative prediction of tumor budding in colorectal adenocarcinoma.Diagnostic and interventional radiology (Ankara, Turkey) · 2026Article
- The value of extracellular volume based on spectral CT in lymph node metastasis, perineural invasion, and lymphovascular invasion of colon cancer.Abdominal radiology (New York) · 2026Article
- Research progress of the clinical application of dual-layer spectral computed tomography in gastrointestinal malignancies.World journal of radiology · 2026Review
- Preoperative prediction of tumor budding in colorectal cancer based on quantitative parameters of dual-layer detector spectral computed tomography: a preliminary study.Journal of gastrointestinal oncology · 2025Article
- Construction of a postoperative liver metastasis prediction model for colorectal cancer based on spectral CT imaging, CEA, and CA19-9.Translational cancer research · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
purposeTo investigate whether preoperative spectral CT quantitative parameters can assess perineural invasion (PNI) status in rectal cancer.
methodsSixty-two patients diagnosed with rectal cancer who underwent preoperative spectral CT were retrospectively enrolled and divided into positive and negative PNI groups according to histopathologic results. The CT attenuation value (HU) of virtual monochromatic images (40-70 keV), spectral curve slope (K
resultsThe preoperative spectral CT parameters (40-70 keV attenuation, K
conclusionSpectral CT quantitative parameters proved valuable in the preoperative assessment of PNI status in rectal cancer patients. The combination of spectral CT parameters and clinical features could further enhance the diagnostic efficiency.
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