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 …

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 …

Next-generation radiogenomics sequencing for prediction of EGFR and KRAS mutation status in NSCLC patients using multimodal imaging and machine learning …

I Shiri, H Maleki, G Hajianfar, H Abdollahi… - Molecular imaging and …, 2020 - Springer
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 …

Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning

M Nazari, I Shiri, G Hajianfar, N Oveisi, H Abdollahi… - La radiologia …, 2020 - Springer
Purpose To identify optimal classification methods for computed tomography (CT) radiomics-
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

S Mostafaei, H Abdollahi, S Kazempour Dehkordi… - La radiologia …, 2020 - Springer
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 …

Cardiac SPECT radiomic features repeatability and reproducibility: A multi-scanner phantom study

M Edalat-Javid, I Shiri, G Hajianfar, H Abdollahi… - Journal of Nuclear …, 2021 - Elsevier
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 …

Noninvasive O6 methylguanine-DNA methyltransferase status prediction in glioblastoma multiforme cancer using magnetic resonance imaging radiomics features …

G Hajianfar, I Shiri, H Maleki, N Oveisi, A Haghparast… - World neurosurgery, 2019 - Elsevier
Background This study aimed to predict methylation status of the O 6 methylguanine-DNA
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 …

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 …

Clinical radiobiology for radiation oncology

P Sminia, O Guipaud, K Viktorsson, V Ahire… - Radiobiology …, 2023 - Springer
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 …