Results 31 to 40 of about 52,953 (291)

Radiomics

open access: yesNuclear Medicine Communications, 2022
Cancer treatment is heading towards precision medicine driven by genetic and biochemical markers. Various genetic and biochemical markers are utilized to render personalized treatment in cancer. In the last decade, noninvasive imaging biomarkers have also been developed to assist personalized decision support systems in oncology. The imaging biomarkers
Jha, Ashish Kumar   +6 more
openaire   +1 more source

Radiomics in immuno-oncology [PDF]

open access: yesImmuno-Oncology and Technology, 2021
With the ongoing advances in imaging techniques, increasing volumes of anatomical and functional data are being generated as part of the routine clinical workflow. This surge of available imaging data coincides with increasing research in quantitative imaging, particularly in the domain of imaging features. An important and novel approach is radiomics,
Bodalal, Z.   +3 more
openaire   +3 more sources

Precise enhancement quantification in post-operative MRI as an indicator of residual tumor impact is associated with survival in patients with glioblastoma

open access: yesScientific Reports, 2021
Glioblastoma is the most common primary brain tumor. Standard therapy consists of maximum safe resection combined with adjuvant radiochemotherapy followed by chemotherapy with temozolomide, however prognosis is extremely poor.
Alonso Garcia-Ruiz   +9 more
doaj   +1 more source

Radiomics-based nomogram using CT imaging for noninvasive preoperative prediction of early recurrence in patients with hepatocellular carcinoma [PDF]

open access: yes, 2020
PURPOSE:The aim of this study was to develop and validate a radiomics nomogram based on radiomics features and clinical data for the non-invasive preoperative prediction of early recurrence (≤2 years) in patients with hepatocellular carcinoma (HCC ...
Xiao-Li Zhang   +10 more
core   +1 more source

A deep look into radiomics [PDF]

open access: yesLa radiologia medica, 2021
Abstract Radiomics is a process that allows the extraction and analysis of quantitative data from medical images. It is an evolving field of research with many potential applications in medical imaging. The purpose of this review is to offer a deep look into radiomics, from the basis, deeply discussed from a technical point of view ...
Camilla Scapicchio   +5 more
openaire   +3 more sources

Exploring the Value of Radiomics Features Based on B-Mode and Contrast-Enhanced Ultrasound in Discriminating the Nature of Thyroid Nodules

open access: yesFrontiers in Oncology, 2021
BackgroundWith the improvement of ultrasound imaging resolution and the application of various new technologies, the detection rate of thyroid nodules has increased greatly in recent years. However, there are still challenges in accurately diagnosing the
Shi Yan Guo   +4 more
doaj   +1 more source

GCC 2017-Head and Neck radiomics

open access: yes, 2022
2017 Gulf Coast Consortium Translational Imaging presentation on emerging apporaches to radiomics/radiomics in radiation oncology.
Clifton Fuller (528030)
core   +1 more source

Deep learning based identification of bone scintigraphies containing metastatic bone disease foci

open access: yesCancer Imaging, 2023
Purpose Metastatic bone disease (MBD) is the most common form of metastases, most frequently deriving from prostate cancer. MBD is screened with bone scintigraphy (BS), which have high sensitivity but low specificity for the diagnosis of MBD, often ...
Abdalla Ibrahim   +18 more
doaj   +1 more source

Radiomics in colorectal cancer patients [PDF]

open access: yes, 2023
The main therapeutic options for colorectal cancer are surgical resection and adjuvant chemotherapy in non-metastatic disease. However, the evaluation of the overall adjuvant chemotherapy benefit in patients with a high risk of recurrence is challenging.
Maino C.   +11 more
core   +1 more source

Radiomics and Deep Radiomics for precision medicine

open access: yes, 2021
{"references": ["E Bertelli, L Mercatelli, C Marzi, E Pachetti, M Baccini, et al. Machine and Deep Learning Prediction Of Prostate Cancer Aggressiveness Using Multiparametric MRI., Fron in Oncology, 5515, 2021, https://doi.org/10.3389/fonc.2021.802964", "F Gioia, MA Pascali, A Greco, S Colantonio, EP Scilingo.
openaire   +2 more sources

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