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Cancer Imaging is a peer-reviewed journal published by BMC (BioMed Central), covering Radiomics and Machine Learning in Medical Imaging, MRI in cancer diagnosis, Medical Imaging Techniques and Applications. Over its lifetime it has published 2,077 papers, which have received 40,475 citations.
| Publisher | BMC (BioMed Central) |
|---|---|
| Reference style | Numbered (Vancouver) Numbered — [1], [2] in the text 1. Smith A, Jones B, Lee C. A representative article title. Cancer Imaging. 2023;12(3):45–58.
Formats any DOI in Cancer Imaging style. No sign-up. |
| Publishes research in | Radiomics and Machine Learning in Medical Imaging MRI in cancer diagnosis Medical Imaging Techniques and Applications Lung Cancer Diagnosis and Treatment Hepatocellular Carcinoma Treatment and Prognosis |
| ISSN | 1470-7330 |
| Citation impact (2-yr) | 4.82 |
| h-index | 82 |
| i10-index | 950 |
| Article processing charge | $2,072 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Heidelberg University |
| Journal website | link.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Heterogeneity is a key feature of malignancy associated with adverse tumour biology. Quantifying heterogeneity could provide a useful non-invasive imaging biomarker. Heterogeneity on computed tomography (CT) can be quantified using texture analysis which extracts spatial information from CT images (unenhanced, contrast-enhanced and derived images such as CT perfusion) that may not be perceptible to the…
Diffusion-weighted magnetic resonance imaging (DW-MRI) provides image contrast through measurement of the diffusion properties of water within tissues. Application of diffusion sensitising gradients to the MR pulse sequence allows water molecular displacement over distances of 1-20 microm to be recognised. Diffusion can be predominantly unidirectional (anisotropic) or not (isotropic). Combining images obtained with different amounts…
Malignant lymph nodes in the neck include metastases and lymphoma. Cervical nodal metastases are common in patients with head and neck cancers, and their assessment is important as it affects treatment planning and prognosis. Neck nodes are also a common site of lymphomatous involvement and an accurate diagnosis is essential as its treatment differs from…
The aim was to undertake an initial study of the relationship between texture features in computed tomography (CT) images of non-small cell lung cancer (NSCLC) and tumour glucose metabolism and stage. This retrospective pilot study comprised 17 patients with 18 pathologically confirmed NSCLC. Non-contrast-enhanced CT images of the primary pulmonary lesions underwent texture analysis in…
Analysis of texture within tumours on computed tomography (CT) is emerging as a potentially useful tool in assessing prognosis and treatment response for patients with cancer. This article illustrates the image and histological features that correlate with CT texture parameters obtained from tumours using the filtration-histogram approach, which comprises image filtration to highlight image features…
