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Radiomics in prostate cancer: An up-to-date review
M Ferro, O de Cobelli, G Musi… - Therapeutic …, 2022 - journals.sagepub.com
Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male
population. The diagnosis, the identification of aggressive disease, and the post-treatment …
population. The diagnosis, the identification of aggressive disease, and the post-treatment …
Radiomics in prostate cancer imaging for a personalized treatment approach-current aspects of methodology and a systematic review on validated studies
SKB Spohn, AS Bettermann, F Bamberg… - …, 2021 - pmc.ncbi.nlm.nih.gov
Prostate cancer (PCa) is one of the most frequently diagnosed malignancies of men in the
world. Due to a variety of treatment options in different risk groups, proper diagnostic and …
world. Due to a variety of treatment options in different risk groups, proper diagnostic and …
Next-generation radiogenomics sequencing for prediction of EGFR and KRAS mutation status in NSCLC patients using multimodal imaging and machine learning …
Purpose Considerable progress has been made in the assessment and management of non-
small cell lung cancer (NSCLC) patients based on mutation status in the epidermal growth …
small cell lung cancer (NSCLC) patients based on mutation status in the epidermal growth …
Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning
Purpose To identify optimal classification methods for computed tomography (CT) radiomics-
based preoperative prediction of clear cell renal cell carcinoma (ccRCC) grade. Materials …
based preoperative prediction of clear cell renal cell carcinoma (ccRCC) grade. Materials …
CT imaging markers to improve radiation toxicity prediction in prostate cancer radiotherapy by stacking regression algorithm
Purpose Radiomic features, clinical and dosimetric factors have the potential to predict
radiation-induced toxicity. The aim of this study was to develop prediction models of …
radiation-induced toxicity. The aim of this study was to develop prediction models of …
Cardiac SPECT radiomic features repeatability and reproducibility: A multi-scanner phantom study
Background The aim of this work was to assess the robustness of cardiac SPECT radiomic
features against changes in imaging settings, including acquisition, and reconstruction …
features against changes in imaging settings, including acquisition, and reconstruction …
Noninvasive O6 methylguanine-DNA methyltransferase status prediction in glioblastoma multiforme cancer using magnetic resonance imaging radiomics features …
Background This study aimed to predict methylation status of the O 6 methylguanine-DNA
methyltransferase (MGMT) gene promoter status by using magnetic resonance imaging …
methyltransferase (MGMT) gene promoter status by using magnetic resonance imaging …
Prediction of femoral osteoporosis using machine-learning analysis with radiomics features and abdomen-pelvic CT: A retrospective single center preliminary study
HK Lim, HI Ha, SY Park, J Han - PloS one, 2021 - journals.plos.org
Background Osteoporosis has increased and developed into a serious public health
concern worldwide. Despite the high prevalence, osteoporosis is silent before major fragility …
concern worldwide. Despite the high prevalence, osteoporosis is silent before major fragility …
Application of radiomics for the prediction of radiation-induced toxicity in the IMRT era: current state-of-the-art
I Desideri, M Loi, G Francolini, C Becherini, L Livi… - Frontiers in …, 2020 - frontiersin.org
Normal tissue complication probability (NTCP) models that were formulated in the
Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC) are one of the …
Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC) are one of the …
Clinical radiobiology for radiation oncology
This chapter is focused on radiobiological aspects at the molecular, cellular, and tissue level
which are relevant for the clinical use of ionizing radiation (IR) in cancer therapy. For …
which are relevant for the clinical use of ionizing radiation (IR) in cancer therapy. For …