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 2021-02-01 to 2025-02-01.)
ArticleCitations
Value of diffusion kurtosis MR imaging and conventional diffusion weighed imaging for evaluating response to first-line chemotherapy in unresectable pancreatic cancer39
Contrast-enhanced ultrasonography–CT/MRI fusion guidance for percutaneous ablation of inconspicuous, small liver tumors: improving feasibility and therapeutic outcome38
Development and validation of a clinic-radiological model to predict tumor spread through air spaces in stage I lung adenocarcinoma31
Utility of non-contrast Dual Energy Computed Tomography in diagnosis of differentiated thyroid cancer – two case study29
Radiomic nomogram based on MRI to predict grade of branching type intraductal papillary mucinous neoplasms of the pancreas: a multicenter study28
Extracting value from total-body PET/CT image data - the emerging role of artificial intelligence27
Prognostic and predictive value of interstitial lung abnormalities and EGFR mutation status in patients with non-small cell lung cancer25
Pancreas CT assessment for pancreatic ductal adenocarcinoma resectability: effect of tube voltage and slice thickness on image quality and diagnostic performance24
Evaluation of integrin αvβ3-targeted imaging for predicting disease progression in patients with high-risk differentiated thyroid cancer (using 99mTc-3PRGD2)23
Identification of T2W hypointense ring as a novel noninvasive indicator for glioma grade and IDH genotype21
MRI features and tumor-infiltrating CD8 + T cells-based nomogram for predicting meningioma recurrence risk20
The prognostic role of early tumor shrinkage in patients with hepatocellular carcinoma undergoing immunotherapy18
PET/MR fusion texture analysis for the clinical outcome prediction in soft-tissue sarcoma18
Beyond invasive biopsies: using VASARI MRI features to predict grade and molecular parameters in gliomas16
Whole-tumoral metabolic heterogeneity in 18F-FDG PET/CT is a novel prognostic marker for neuroblastoma16
Amide proton transfer-weighted imaging and stretch-exponential model DWI based 18F-FDG PET/MRI for differentiation of benign and malignant solitary pulmonary lesions15
Clinical application of machine learning models in patients with prostate cancer before prostatectomy15
Exploring innovative strides in radiolabeled nanoparticle progress for multimodality cancer imaging and theranostic applications15
CEUS LI-RADS for diagnosis of hepatocellular carcinoma in individuals without LI-RADS-defined hepatocellular carcinoma risk factors14
A deep learning model to enhance the classification of primary bone tumors based on incomplete multimodal images in X-ray, CT, and MRI14
Imaging in metastatic breast cancer, CT, PET/CT, MRI, WB-DWI, CCA: review and new perspectives14
MRI radiomics and nutritional-inflammatory biomarkers: a powerful combination for predicting progression-free survival in cervical cancer patients undergoing concurrent chemoradiotherapy14
Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients13
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 therapy13
A whole-body diffusion MRI normal atlas: development, evaluation and initial use13
Value of conventional magnetic resonance imaging texture analysis in the differential diagnosis of benign and borderline/malignant phyllodes tumors of the breast13
Metabolic imaging with FDG-PET and time to progression in patients discontinuing immune-checkpoint inhibition for metastatic melanoma12
Improving the diagnosis of radiation necrosis after stereotactic radiosurgery to intracranial metastases with conventional MRI features: a case series12
Development and validation of a machine learning-based 18F-fluorodeoxyglucose PET/CT radiomics signature for predicting gastric cancer survival12
The practical clinical role of machine learning models with different algorithms in predicting prostate cancer local recurrence after radical prostatectomy12
CT-based multi-phase Radiomic models for differentiating clear cell renal cell carcinoma11
Prognostic value of CT-based radiomics in grade 1–2 pancreatic neuroendocrine tumors11
Intra-patient comparison of physiologic 68Ga-PSMA-11 and 18F-DCFPyL PET/CT uptake in ganglia in prostate cancer patients: a pictorial essay11
[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 analysis11
Prognostic value of pre-treatment FDG PET/CT SUVmax for metastatic lesions in de novo metastatic nasopharyngeal carcinoma following chemotherapy and locoregional radiotherapy11
CT radiomics based on different machine learning models for classifying gross tumor volume and normal liver tissue in hepatocellular carcinoma11
Comparison of synthesized and acquired high b-value diffusion-weighted MRI for detection of prostate cancer11
Multiparametric detection and outcome prediction of pancreatic cancer involving dual-energy CT, diffusion-weighted MRI, and radiomics11
Deep learning radiomics-based prediction model of metachronous distant metastasis following curative resection for retroperitoneal leiomyosarcoma: a bicentric study11
Comparative analysis of metabolic characteristics and prognostic stratification of HER2-low and HER2-zero breast cancer using 18F-FDG PET/CT imaging10
Exploration of spatial distribution of brain metastasis from small cell lung cancer and identification of metastatic risk level of brain regions: a multicenter, retrospective study10
Long-axial field-of-view PET/CT: perspectives and review of a revolutionary development in nuclear medicine based on clinical experience in over 7000 patients10
Identification of D842V mutation in gastrointestinal stromal tumors based on CT radiomics: a multi-center study10
Predictive value of background parenchymal enhancement on breast magnetic resonance imaging for pathological tumor response to neoadjuvant chemotherapy in breast cancers: a systematic review10
Targeted sequencing of DNA/RNA combined with radiomics predicts lymph node metastasis of papillary thyroid carcinoma10
Automatic rigid image Fusion of preoperative MR and intraoperative US acquired after craniotomy10
Whole-liver enhanced CT radiomics analysis to predict metachronous liver metastases after rectal cancer surgery10
Association between dichotomized VASARI feature and overall survival in glioblastoma patients: a single-institution propensity score matching analysis10
Nomograms integrating CT radiomic and deep learning signatures to predict overall survival and progression-free survival in NSCLC patients treated with chemotherapy9
The relationship between gadolinium enhancement and [18 F]fluorothymidine uptake in brain lesions with the use of hybrid PET/MRI9
Artificial intelligence-based MRI radiomics and radiogenomics in glioma9
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 study9
Prognostic value of cervical nodal necrosis on staging imaging of nasopharyngeal carcinoma in era of intensity-modulated radiotherapy: a systematic review and meta-analysis9
A CT-based radiomics nomogram for distinguishing between benign and malignant bone tumours9
Intravoxel incoherent motion imaging combined with diffusion kurtosis imaging to assess the response to radiotherapy in a rabbit VX2 malignant bone tumor model9
Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique9
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 features8
Sarcomatoid renal cell carcinoma: MRI features and their association with survival8
Nuclear medicine imaging in non-seminomatous germ cell tumors: lessons learned from the past failures8
An MRI-based radiomics nomogram for differentiating spinal metastases from multiple myeloma8
Concordance between head and neck MRI and histopathology in detecting laryngeal subsite invasion among patients with laryngeal cancer8
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 study8
Prediction of lateral lymph node metastasis with short diameter less than 8 mm in papillary thyroid carcinoma based on radiomics8
MRI for nodal restaging after neoadjuvant therapy in rectal cancer with histopathologic comparison8
Ultrasound super-resolution imaging for non-invasive assessment of microvessel in prostate lesion8
Outcome of patients with biochemical recurrence of prostate cancer after PSMA PET/CT-directed radiotherapy or surgery without systemic therapy8
An interactive 3D atlas of sentinel lymph nodes in breast cancer developed using SPECT/CT8
Predicting first-line VEGFR-TKI resistance and survival in metastatic clear cell renal cell carcinoma using a clinical-radiomic nomogram8
Multimodal deep learning radiomics model for predicting postoperative progression in solid stage I non-small cell lung cancer8
Impact of annual trend volume of low-dose computed tomography for lung cancer screening on overdiagnosis, overmanagement, and gender disparities8
Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features7
Survival outcome prediction of esophageal squamous cell carcinoma patients based on radiomics and mutation signature7
Automatic segmentation of head and neck primary tumors on MRI using a multi-view CNN7
Application of contrast-enhanced CT radiomics in prediction of early recurrence of locally advanced oesophageal squamous cell carcinoma after trimodal therapy7
18F−Prostate−Specific Membrane Antigen PET/CT imaging for potentially resectable pancreatic cancer (PANSCAN−2): a phase I/II study7
Optimisation of low and ultra-low dose scanning protocols for ultra-extended field of view PET in a real-world clinical setting7
Radiomics signature based on robust features derived from diffusion data for differentiation between benign and malignant solitary pulmonary lesions7
Radiomics predicts the prognosis of patients with clear cell renal cell carcinoma by reflecting the tumor heterogeneity and microenvironment7
Correction to: Diffusion-weighted MRI improves response assessment after definitive radiotherapy in patients with NSCLC7
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 cancer7
[68Ga]Ga‑PSMA‑617 PET-based radiomics model to identify candidates for active surveillance amongst patients with GGG 1–2 prostate cancer at biopsy7
Bubble-like lucency in pulmonary ground glass nodules on computed tomography: a specific pattern of air-containing space for diagnosing neoplastic lesions7
Semiautomated pelvic lymph node treatment response evaluation for patients with advanced prostate cancer: based on MET-RADS-P guidelines6
CT for estimating adequacy of lymph node dissection in patients with squamous cell carcinoma of the head and neck6
Associations of muscle and adipose tissue parameters with long-term outcomes in middle and low rectal cancer: a retrospective cohort study6
Novel applications of molecular imaging to guide breast cancer therapy6
PET/CT reading for relapse in non-small cell lung cancer after chemoradiotherapy in the PET-Plan trial cohort6
Multidetector CT findings of primary pleural angiosarcoma : a systematic review, an additional cases report6
Two decades of FDG-PET/CT in seminoma: exploring its role in diagnosis, surveillance and follow-up6
Pelvic lymph node mapping in prostate cancer: examining the impact of PSMA PET/CT on radiotherapy decision-making in patients with node-positive disease6
The potential value of ultrasound in predicting local refractory/relapse events in primary thyroid lymphoma patients6
Post-neoadjuvant treatment pancreatic cancer resectability and outcome prediction using CT, 18F-FDG PET/MRI and CA 19–96
The comparative study of color doppler flow imaging, superb microvascular imaging, contrast-enhanced ultrasound micro flow imaging in blood flow analysis of solid renal mass6
Percutaneous core-needle biopsy before and immediately after coaxial microwave ablation in solid non-small cell lung cancer: the comparison of genomic testing from specimens6
Whole-body diffusion-weighted MRI of normal lymph nodes: prospective apparent diffusion coefficient histogram and nodal distribution analysis in a healthy cohort6
Pretreatment 18F‐FDG uptake heterogeneity may predict treatment outcome of combined Trastuzumab and Pertuzumab therapy in patients with metastatic HER2 positive breast cancer6
Extending the clinical capabilities of short- and long-lived positron-emitting radionuclides through high sensitivity PET/CT6
DCE-CT parameters as new functional imaging biomarkers at baseline and during immune checkpoint inhibitor therapy in patients with lung cancer – a feasibility study6
Imaging features associated with H3 K27-altered and H3 G34-mutant gliomas: a narrative systematic review6
Comparative analysis of different response criteria at early phase after PD-1 blockade in non-small lung cancer5
Early post-treatment 18F-FDG PET/CT for predicting radiation-induced hypothyroidism in head and neck cancer5
CT patterns and serial CT Changes in lung Cancer patients post stereotactic body radiotherapy (SBRT)5
Applying ONCO-RADS to whole-body MRI cancer screening in a retrospective cohort of asymptomatic individuals5
Correction: The utility of 18F-FDG PET/CT for predicting the pathological response and prognosis to neoadjuvant immunochemotherapy in resectable non-small-cell lung cancer5
Imaging features of fumarate hydratase-deficient renal cell carcinomas: a retrospective study5
Quantum iterative reconstruction on a photon-counting detector CT improves the quality of hepatocellular carcinoma imaging5
Impact of deep learning image reconstruction on volumetric accuracy and image quality of pulmonary nodules with different morphologies in low-dose CT5
An MRI-based radiomics nomogram for detecting cervical esophagus invasion in hypopharyngeal squamous cell carcinoma5
Deep learning based identification of bone scintigraphies containing metastatic bone disease foci5
Growth dynamics of lung nodules: implications for classification in lung cancer screening5
Effect of preoperative PI-RADS assessment on pathological outcomes in patients who underwent radical prostatectomy5
Advances of radiolabeled GRPR ligands for PET/CT imaging of cancers5
A personal acquisition time regimen of 68Ga-DOTATATE total-body PET/CT in patients with neuroendocrine tumor (NET): a feasibility study5
Differentiating IDH status in human gliomas using machine learning and multiparametric MR/PET5
Deep learning for semi-automated unidirectional measurement of lung tumor size in CT5
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