ArticleLa Radiologia medica2017
Diffusion-weighted imaging for the cellularity assessment and matrix characterization of soft tissue tumour.
Article in La Radiologia medica, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Apparent diffusion coefficient metrics for treatment response assessment in soft tissue sarcoma: Reproducibility and prognostic value of whole-tumor and sub-regional analysis.Skeletal radiology · 2026Article
- Atypical spindle cell/pleomorphic lipomatous tumor with sarcomatous transformation during recurrence.Skeletal radiology · 2026Article
- Multimodal Imaging of Hypoxia, Metabolism and pH in Feline Sarcoma Using HyperpolarizedAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Time-dependent diffusion MRI of soft tissue tumors: correlations with Ki-67 proliferation status.Quantitative imaging in medicine and surgery · 2026Article
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- The Diagnostic Efficiency of Quantitative Diffusion Weighted Imaging in Differentiating Medulloblastoma from Posterior Fossa Tumors: A Systematic Review and Meta-Analysis.Diagnostics (Basel, Switzerland) · 2022Review
- Dynamic contrast-enhanced (DCE) imaging: state of the art and applications in whole-body imaging.Japanese journal of radiology · 2022Review
- Comparing the blood oxygen level-dependent fluctuation power of benign and malignant musculoskeletal tumors using functional magnetic resonance imaging.Frontiers in oncology · 2022Article
- An update in musculoskeletal tumors: from quantitative imaging to radiomics.La Radiologia medica · 2021Review
- Radiomics in the Setting of Neoadjuvant Radiotherapy: A New Approach for Tailored Treatment.Cancers · 2021Review
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- Diagnostic Performance of Diffusion MRI for differentiating Benign and Malignant Nonfatty Musculoskeletal Soft Tissue Tumors: A Systematic Review and Meta-analysis.Journal of Cancer · 2021Article
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- Diffusion-Weighted Imaging in Oncology: An Update.Cancers · 2020Review
- Patient‑derived orthotopic xenograft glioma models fail to replicate the magnetic resonance imaging features of the original patient tumor.Oncology reports · 2020Article
- Pelvic floor dysfunctions: how to image patients?Japanese journal of radiology · 2020Review
- Secondary Neurolymphomatosis of the Radial Nerve: A Diagnostic Challenge.The American journal of case reports · 2019Article
- Position paper on magnetic resonance imaging protocols in the musculoskeletal system (excluding the spine) by the Italian College of Musculoskeletal Radiology.La Radiologia medica · 2019Article
- Monitoring the Early Antiproliferative Effect of the Analgesic-Antitumor Peptide, BmK AGAP on Breast Cancer Using Intravoxel Incoherent Motion With a Reduced Distribution of FourFrontiers in physiology · 2019Article
- Renal endometriosis mimicking complicated cysts of kidney: report of two cases.Il Giornale di chirurgiaArticle
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Authors and funding
11 authors.
Funding
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Abstract
purposeTo evaluate whether apparent diffusion coefficient (ADC) of diffusion-weighted imaging (DWI) is able to investigate the histological features of soft tissue tumours.
methodsWe reviewed MRIs of soft tissue tumours performed from 2012 to 2015 to calculate the average ADCs. We included 46 patients (27 male; mean age: 57 years, range 12-85 years) with histologically proven soft tissue tumours (10 benign, 2 intermediate 34 malignant) grouped into eight tumour type classes. An experienced pathologist assigned a semi-quantitative cellularity score (very high, high, medium and low) and tumour grading. The t test, ANOVA and linear regression were used to correlate ADC with clinicopathological data. Approximate receiver operating characteristic curves were created to predict possible uses of ADC to differentiate benign from malignant tumours.
resultsThere was a significant difference (p < 0.01) in ADCs between these three groups excluding myxoid sarcomas. A significant difference was also evident between the tumour type classes (p < 0.001), grade II and III myxoid lesions (p < 0.05), tumour grading classes (p < 0.001) and cellularity scores classes (p < 0.001), with the lowest ADCs in the very high cellularity. While the linear regression analysis showed a significant relationship between ADC and tumour cellularity (r = 0.590, p ≤ 0.05) and grading (r = 0.437, p ≤ 0.05), no significant relationship was found with age, gender, tumour size and histological subtype. An optimal cut-off ADC value of 1.45 × 10
conclusionsDWI may offer adjunctive information about soft tissue tumours, but its clinical role is still to be defined.
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