Cancer Imaging

Papers
(The TQCC of Cancer Imaging is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
Preoperative diagnosis of meningioma sinus invasion based on MRI radiomics and deep learning: a multicenter study45
Development of modified multi-parametric CT algorithms for diagnosing clear-cell renal cell carcinoma in small solid renal masses45
Imaging genomics of cancer: a bibliometric analysis and review43
Whole-tumoral metabolic heterogeneity in 18F-FDG PET/CT is a novel prognostic marker for neuroblastoma34
Optimisation of low and ultra-low dose scanning protocols for ultra-extended field of view PET in a real-world clinical setting26
PET/MR fusion texture analysis for the clinical outcome prediction in soft-tissue sarcoma24
Survival outcome prediction of esophageal squamous cell carcinoma patients based on radiomics and mutation signature24
Imaging in metastatic breast cancer, CT, PET/CT, MRI, WB-DWI, CCA: review and new perspectives23
Head-to-head comparison of [68Ga]Ga-DOTA-FAPI-04 and [18F]FDG PET/CT for the evaluation of tonsil cancer and lymph node metastases: a single-centre retrospective study23
Contrast-enhanced ultrasonography–CT/MRI fusion guidance for percutaneous ablation of inconspicuous, small liver tumors: improving feasibility and therapeutic outcome21
Exploration of spatial distribution of brain metastasis from small cell lung cancer and identification of metastatic risk level of brain regions: a multicenter, retrospective study21
A logistic regression model to predict long-term survival for borderline resectable pancreatic cancer patients with upfront surgery21
18F−Prostate−Specific Membrane Antigen PET/CT imaging for potentially resectable pancreatic cancer (PANSCAN−2): a phase I/II study19
Ultrasound super-resolution imaging for non-invasive assessment of microvessel in prostate lesion18
Intra-patient comparison of physiologic 68Ga-PSMA-11 and 18F-DCFPyL PET/CT uptake in ganglia in prostate cancer patients: a pictorial essay17
Prognostic value of pre-treatment FDG PET/CT SUVmax for metastatic lesions in de novo metastatic nasopharyngeal carcinoma following chemotherapy and locoregional radiotherapy17
Beyond invasive biopsies: using VASARI MRI features to predict grade and molecular parameters in gliomas17
CT radiomics based on different machine learning models for classifying gross tumor volume and normal liver tissue in hepatocellular carcinoma17
Association between dichotomized VASARI feature and overall survival in glioblastoma patients: a single-institution propensity score matching analysis16
Impact of annual trend volume of low-dose computed tomography for lung cancer screening on overdiagnosis, overmanagement, and gender disparities16
Automatic rigid image Fusion of preoperative MR and intraoperative US acquired after craniotomy16
Nuclear medicine imaging in non-seminomatous germ cell tumors: lessons learned from the past failures16
Clinical application of machine learning models in patients with prostate cancer before prostatectomy15
Comparison of synthesized and acquired high b-value diffusion-weighted MRI for detection of prostate cancer15
A whole-body diffusion MRI normal atlas: development, evaluation and initial use15
An interactive 3D atlas of sentinel lymph nodes in breast cancer developed using SPECT/CT15
Prognostic and predictive value of interstitial lung abnormalities and EGFR mutation status in patients with non-small cell lung cancer15
The relationship between gadolinium enhancement and [18 F]fluorothymidine uptake in brain lesions with the use of hybrid PET/MRI15
Prediction of lateral lymph node metastasis with short diameter less than 8 mm in papillary thyroid carcinoma based on radiomics15
Targeted sequencing of DNA/RNA combined with radiomics predicts lymph node metastasis of papillary thyroid carcinoma14
Metabolic imaging with FDG-PET and time to progression in patients discontinuing immune-checkpoint inhibition for metastatic melanoma14
Comparative analysis of metabolic characteristics and prognostic stratification of HER2-low and HER2-zero breast cancer using 18F-FDG PET/CT imaging13
CEUS LI-RADS for diagnosis of hepatocellular carcinoma in individuals without LI-RADS-defined hepatocellular carcinoma risk factors13
The practical clinical role of machine learning models with different algorithms in predicting prostate cancer local recurrence after radical prostatectomy13
Identification of D842V mutation in gastrointestinal stromal tumors based on CT radiomics: a multi-center study13
Concordance between head and neck MRI and histopathology in detecting laryngeal subsite invasion among patients with laryngeal cancer13
Baseline and interim [18F]FDG-PET/MRI to assess treatment response and survival in patients with M0 esophageal squamous cell carcinoma treated by curative-intent therapy12
MRI for nodal restaging after neoadjuvant therapy in rectal cancer with histopathologic comparison12
Radiomics nomogram based on CT radiomics features and clinical factors for prediction of Ki-67 expression and prognosis in clear cell renal cell carcinoma: a two-center study12
CT-based multi-phase Radiomic models for differentiating clear cell renal cell carcinoma11
Amide proton transfer-weighted imaging and stretch-exponential model DWI based 18F-FDG PET/MRI for differentiation of benign and malignant solitary pulmonary lesions11
Sarcomatoid renal cell carcinoma: MRI features and their association with survival11
Intravoxel incoherent motion imaging combined with diffusion kurtosis imaging to assess the response to radiotherapy in a rabbit VX2 malignant bone tumor model11
Development and validation of a point-based scoring system for predicting axillary lymph node metastasis and disease outcome in breast cancer using clinicopathological and multiparametric MRI features11
MRI features and tumor-infiltrating CD8 + T cells-based nomogram for predicting meningioma recurrence risk11
The prognostic role of early tumor shrinkage in patients with hepatocellular carcinoma undergoing immunotherapy11
An MRI-based radiomics nomogram for differentiating spinal metastases from multiple myeloma11
Deep learning radiomics-based prediction model of metachronous distant metastasis following curative resection for retroperitoneal leiomyosarcoma: a bicentric study10
Whole-liver enhanced CT radiomics analysis to predict metachronous liver metastases after rectal cancer surgery10
Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients10
Multimodal deep learning radiomics model for predicting postoperative progression in solid stage I non-small cell lung cancer10
Development and validation of a clinic-radiological model to predict tumor spread through air spaces in stage I lung adenocarcinoma10
Predictive value of background parenchymal enhancement on breast magnetic resonance imaging for pathological tumor response to neoadjuvant chemotherapy in breast cancers: a systematic review10
Value of diffusion kurtosis MR imaging and conventional diffusion weighed imaging for evaluating response to first-line chemotherapy in unresectable pancreatic cancer10
Prognostic value of CT-based radiomics in grade 1–2 pancreatic neuroendocrine tumors10
Predicting first-line VEGFR-TKI resistance and survival in metastatic clear cell renal cell carcinoma using a clinical-radiomic nomogram10
Improving the diagnosis of radiation necrosis after stereotactic radiosurgery to intracranial metastases with conventional MRI features: a case series10
Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features10
Identification of T2W hypointense ring as a novel noninvasive indicator for glioma grade and IDH genotype10
[89Zr]Zr-PSMA-617 PET/CT characterization of indeterminate [68Ga]Ga-PSMA-11 PET/CT findings in patients with biochemical recurrence of prostate cancer: lesion-based analysis10
Evaluation of integrin αvβ3-targeted imaging for predicting disease progression in patients with high-risk differentiated thyroid cancer (using 99mTc-3PRGD2)9
Exploring innovative strides in radiolabeled nanoparticle progress for multimodality cancer imaging and theranostic applications9
Outcome of patients with biochemical recurrence of prostate cancer after PSMA PET/CT-directed radiotherapy or surgery without systemic therapy9
Artificial intelligence-based MRI radiomics and radiogenomics in glioma9
Nomograms integrating CT radiomic and deep learning signatures to predict overall survival and progression-free survival in NSCLC patients treated with chemotherapy9
Utility of non-contrast Dual Energy Computed Tomography in diagnosis of differentiated thyroid cancer – two case study9
MRI radiomics and nutritional-inflammatory biomarkers: a powerful combination for predicting progression-free survival in cervical cancer patients undergoing concurrent chemoradiotherapy9
The value of 18F-FDG PET/CT and 18F-DOPA PET/CT in determining the initial surgical strategy of patients with medullary thyroid cancer9
Pancreas CT assessment for pancreatic ductal adenocarcinoma resectability: effect of tube voltage and slice thickness on image quality and diagnostic performance9
Extracting value from total-body PET/CT image data - the emerging role of artificial intelligence9
Multiparametric detection and outcome prediction of pancreatic cancer involving dual-energy CT, diffusion-weighted MRI, and radiomics9
Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique9
A deep learning model to enhance the classification of primary bone tumors based on incomplete multimodal images in X-ray, CT, and MRI9
Predicting malignant risk of ground-glass nodules using convolutional neural networks based on dual-time-point 18F-FDG PET/CT9
Development and validation of a machine learning-based 18F-fluorodeoxyglucose PET/CT radiomics signature for predicting gastric cancer survival8
Intratumoral and peritumoral CT radiomics in predicting anaplastic lymphoma kinase mutations and survival in patients with lung adenocarcinoma: a multicenter study8
Innovative optimization of greater omentum imaging report and data system for enhanced risk stratification of omental lesions8
MRI-based habitat imaging predicts high-risk molecular subtypes and early risk assessment of lower-grade gliomas8
Long-axial field-of-view PET/CT: perspectives and review of a revolutionary development in nuclear medicine based on clinical experience in over 7000 patients8
Robust vs. Non-robust radiomic features: the quest for optimal machine learning models using phantom and clinical studies8
Assessment of intrahepatic cholangiocarcinoma with LI-RADS in the high-risk population: MRI diagnosis and postoperative survival8
Prognostic value of cervical nodal necrosis on staging imaging of nasopharyngeal carcinoma in era of intensity-modulated radiotherapy: a systematic review and meta-analysis8
Automatic segmentation of head and neck primary tumors on MRI using a multi-view CNN8
Radiomics predicts the prognosis of patients with clear cell renal cell carcinoma by reflecting the tumor heterogeneity and microenvironment7
A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer7
Multidetector CT findings of primary pleural angiosarcoma : a systematic review, an additional cases report7
To accurately predict lymph node metastasis in patients with mass-forming intrahepatic cholangiocarcinoma by using CT radiomics features of tumor habitat subregions7
Correction: The utility of 18F-FDG PET/CT for predicting the pathological response and prognosis to neoadjuvant immunochemotherapy in resectable non-small-cell lung cancer7
Total lesion glycolysis of primary tumor and lymphnodes is a strong predictor for development of distant metastases in oropharyngeal carcinoma patients with independent validation in automatically del7
Pelvic lymph node mapping in prostate cancer: examining the impact of PSMA PET/CT on radiotherapy decision-making in patients with node-positive disease7
Ultrasound-guided intra-tumoral administration of directly-injected therapies: a review of the technical and logistical considerations7
Two decades of FDG-PET/CT in seminoma: exploring its role in diagnosis, surveillance and follow-up7
Deep learning for semi-automated unidirectional measurement of lung tumor size in CT7
Preclinical evaluation and preliminary clinical study of 68Ga-NODAGA-NM-01 for PET imaging of PD-L1 expression7
Tumor ADC value predicts outcome and yields refined prognostication in uterine cervical cancer7
Correction: Deep learning-based metastasis detection in patients with lung cancer to enhance reproducibility and reduce workload in brain metastasis screening with MRI: a multi-center study7
Associations of muscle and adipose tissue parameters with long-term outcomes in middle and low rectal cancer: a retrospective cohort study7
Tumor stiffness measured by 3D magnetic resonance elastography can help predict the aggressiveness of endometrial carcinoma: preliminary findings7
Semiautomated pelvic lymph node treatment response evaluation for patients with advanced prostate cancer: based on MET-RADS-P guidelines7
Correction: A CT based radiomics analysis to predict the CN0 status of thyroid papillary carcinoma: a two- center study7
[68Ga]Ga‑PSMA‑617 PET-based radiomics model to identify candidates for active surveillance amongst patients with GGG 1–2 prostate cancer at biopsy7
T1 and T2 mapping for identifying malignant lymph nodes in head and neck squamous cell carcinoma6
Multi-parameter MRI radiomics model in predicting postoperative progressive cerebral edema and hemorrhage after resection of meningioma6
Analysis of ultrasound and magnetic resonance imaging characteristics of kaposiform hemangioen dothelioma6
Comparison of different classification systems for pulmonary nodules: a multicenter retrospective study in China6
Extending the clinical capabilities of short- and long-lived positron-emitting radionuclides through high sensitivity PET/CT6
MRI-based radiomics value for predicting the survival of patients with locally advanced cervical squamous cell cancer treated with concurrent chemoradiotherapy6
Deep learning based identification of bone scintigraphies containing metastatic bone disease foci6
CT for estimating adequacy of lymph node dissection in patients with squamous cell carcinoma of the head and neck6
Long-term outcome of percutaneous radiofrequency ablation for periportal hepatocellular carcinoma: tumor recurrence or progression, survival and clinical significance6
Retraction Note to: Diffusion-weighted MR imaging of locally advanced breast carcinoma: the optimal time window of predicting the early response to neoadjuvant chemotherapy6
Integrated slice-specific dynamic shimming diffusion weighted imaging (DWI) for rectal Cancer detection and characterization6
Navigating advanced renal cell carcinoma in the era of artificial intelligence6
Radiomics signature based on robust features derived from diffusion data for differentiation between benign and malignant solitary pulmonary lesions6
Predicting prognosis of nasopharyngeal carcinoma based on deep learning: peritumoral region should be valued6
Novel applications of molecular imaging to guide breast cancer therapy5
Real-time automatic prediction of treatment response to transcatheter arterial chemoembolization in patients with hepatocellular carcinoma using deep learning based on digital subtraction angiography 5
Applying ONCO-RADS to whole-body MRI cancer screening in a retrospective cohort of asymptomatic individuals5
An MRI-based radiomics nomogram for detecting cervical esophagus invasion in hypopharyngeal squamous cell carcinoma5
Diagnostic performance and prognostic value of preoperative 18F-FDG PET/CT in renal cell carcinoma patients with venous tumor thrombus5
Application of contrast-enhanced CT radiomics in prediction of early recurrence of locally advanced oesophageal squamous cell carcinoma after trimodal therapy5
Outstanding increase in tumor-to-background ratio over time allows tumor localization by [89Zr]Zr-PSMA-617 PET/CT in early biochemical recurrence of prostate cancer5
Determining the elastography strain ratio cut off value for differentiating benign from malignant breast lesions: systematic review and meta-analysis5
The potential value of ultrasound in predicting local refractory/relapse events in primary thyroid lymphoma patients5
Early post-treatment 18F-FDG PET/CT for predicting radiation-induced hypothyroidism in head and neck cancer5
Prediction of hepatic lymph node metastases based on magnetic resonance imaging before and after preoperative chemotherapy in patients with colorectal liver metastases underwent surgical resection5
Advances of radiolabeled GRPR ligands for PET/CT imaging of cancers5
Effect of preoperative PI-RADS assessment on pathological outcomes in patients who underwent radical prostatectomy5
Pretreatment 18F‐FDG uptake heterogeneity may predict treatment outcome of combined Trastuzumab and Pertuzumab therapy in patients with metastatic HER2 positive breast cancer5
Baseline MRI-based radiomics model assisted predicting disease progression in nasopharyngeal carcinoma patients with complete response after treatment5
Comparative analysis of different response criteria at early phase after PD-1 blockade in non-small lung cancer5
Seeing through “brain fog”: neuroimaging assessment and imaging biomarkers for cancer-related cognitive impairments5
The pulmonary-vascular-stump filling defect on CT post lung tumor resection: a predictor of cancer progression5
A personal acquisition time regimen of 68Ga-DOTATATE total-body PET/CT in patients with neuroendocrine tumor (NET): a feasibility study5
Review on radiomic analysis in 18F-fluorodeoxyglucose positron emission tomography for prediction of melanoma outcomes5
Impact of deep learning image reconstruction on volumetric accuracy and image quality of pulmonary nodules with different morphologies in low-dose CT5
Quantum iterative reconstruction on a photon-counting detector CT improves the quality of hepatocellular carcinoma imaging5
Validation of 18F-FDG PET/MRI and diffusion-weighted MRI for estimating the extent of peritoneal carcinomatosis in ovarian and endometrial cancer -a pilot study5
Whole-body diffusion-weighted MRI of normal lymph nodes: prospective apparent diffusion coefficient histogram and nodal distribution analysis in a healthy cohort5
Same-day comparative protocol PET/CT-PET/MRI [68 Ga]Ga-DOTA-TOC in paragangliomas and pheochromocytomas: an approach to personalized medicine5
Use of imaging-based dosimetry for personalising radiopharmaceutical therapy of cancer5
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