Cancer Imaging

Papers
(The TQCC of Cancer Imaging is 9. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Survival impact of a KEAP1-NFE2L2 radiomics model in PDL1 ≥ 50% non-small cell lung cancer treated with pembrolizumab: the PEMBROMIC study95
Contrast-enhanced ultrasound quantitative parameters for predicting benign and malignant greater omentum lesions: an applied study85
Prediction of lateral lymph node metastasis with short diameter less than 8 mm in papillary thyroid carcinoma based on radiomics80
Whole-tumoral metabolic heterogeneity in 18F-FDG PET/CT is a novel prognostic marker for neuroblastoma67
A whole-body diffusion MRI normal atlas: development, evaluation and initial use48
Predicting malignant risk of ground-glass nodules using convolutional neural networks based on dual-time-point 18F-FDG PET/CT48
Ultrasound-guided percutaneous core biopsy of renal sinus masses: diagnostic yield, safety, and clinical impact46
Intravoxel incoherent motion imaging combined with diffusion kurtosis imaging to assess the response to radiotherapy in a rabbit VX2 malignant bone tumor model38
Predicting first-line VEGFR-TKI resistance and survival in metastatic clear cell renal cell carcinoma using a clinical-radiomic nomogram35
Targeted sequencing of DNA/RNA combined with radiomics predicts lymph node metastasis of papillary thyroid carcinoma34
Optimisation of low and ultra-low dose scanning protocols for ultra-extended field of view PET in a real-world clinical setting32
Clinical application of machine learning models in patients with prostate cancer before prostatectomy30
Comparison of the diagnostic accuracy of enhanced-CT and double contrast-enhanced ultrasound for preoperative T-staging of gastric cancer: a meta-analysis30
Systematic effects of patient factors and scanner/protocol factors on a Restriction Spectrum Imaging (RSI) quantitative MRI biomarker for prostate cancer29
A deep learning model to enhance the classification of primary bone tumors based on incomplete multimodal images in X-ray, CT, and MRI29
Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients29
The prognostic significance of semi-quantitative metabolic parameters and tumoral metabolic activity based on 123I-MIBG SPECT/CT in pretreatment neuroblastoma patients28
Preoperative low-attenuation area on computed tomography is associated with recurrence after curative resection for non-small-cell lung cancer28
Application Value of a nomogram integrating contrast-enhanced CT radiomics and clinical indicators in evaluating lymph node metastasis in pediatric peripheral neuroblastoma28
An MRI-based radiomics nomogram for differentiating spinal metastases from multiple myeloma28
Parameter-driven habitat imaging based on intravoxel incoherent motion MRI for preoperative prediction of muscle invasion in bladder cancer27
Evaluation of 3D ARFI imaging of prostate cancer: diagnostic reliability and concordance with MpMRI27
Response assessment in rectal cancer undergoing total neoadjuvant therapy: decision tree analysis integrating contrast enhanced T1-weighted MRI27
Semiautomated pelvic lymph node treatment response evaluation for patients with advanced prostate cancer: based on MET-RADS-P guidelines27
Diagnostic performance and prognostic value of preoperative 18F-FDG PET/CT in renal cell carcinoma patients with venous tumor thrombus25
The CT colonography radiology and data system: history, updates, and future directions25
Evaluation of audiovisual and auditory interventions on exam anxiety during whole-body magnetic resonance imaging in cancer patients: a quasi-experimental study24
Radiomics predicts the prognosis of patients with clear cell renal cell carcinoma by reflecting the tumor heterogeneity and microenvironment24
Predicting prognosis of nasopharyngeal carcinoma based on deep learning: peritumoral region should be valued24
A transformer-based multi-task deep learning model for simultaneous infiltrated brain area identification and segmentation of gliomas23
Glymphatic system dysfunction and cerebrospinal fluid retention in gliomas: evidence from perivascular space diffusion and volumetric analysis23
Elastography for distinguishing lymphoma from benign and metastatic lymphadenopathy: a systematic review and Bayesian meta-analysis23
Multi-class brain tumor MRI segmentation and classification using deep learning and machine learning approaches23
Contrast-enhanced ultrasound for diagnosing subtypes of intrahepatic cholangiocarcinoma: a comparative study with poorly differentiated hepatocellular carcinoma23
Geographic variability in contemporary utilization of PET imaging for prostate cancer: a medicare claims cohort study23
Imaging appearances, CT evolution patterns, and surgical prognosis of stage I lung squamous cell carcinoma23
3D airway geometry analysis of factors in airway navigation failure for lung nodules22
Preoperative splenic area as a prognostic biomarker of early-stage non-small cell lung cancer22
Change in diffusion weighted imaging after induction chemotherapy outperforms RECIST guideline for long-term outcome prediction in advanced nasopharyngeal carcinoma22
Prognostic value of the tumor-to-liver density ratio in patients with metastatic colorectal cancer treated with bevacizumab-based chemotherapy. A post-hoc study of the STIC-AVASTIN trial21
Qualitative and quantitative analysis of solid renal tumors by high-frame-rate contrast-enhanced ultrasound21
The diagnostic value of contrast-enhanced ultrasonography in breast ductal abnormalities20
HCC portal hypertension imaging score derived from CT predicts re-bleeding and mortality after acute variceal bleeding20
Proceedings of the 24th International Cancer Imaging Society Meeting and Annual Teaching Course20
Habitat-based imaging and peritumoral radiomics on ultrasound images for predicting lymphovascular invasion in breast invasive ductal carcinoma: a two-center study20
Value of high frame rate contrast enhanced ultrasound in gallbladder wall thickening in non-acute setting20
Clinicopathological and computed tomography features of patients with early-stage non-small-cell lung cancer harboring ALK rearrangement20
Development and multicohort external validation of a preoperative [18F]PSMA-1007 PET-derived deep learning score and multimodal model for predicting biochemical recurrence-free survival after radical 20
Differentiating pancreatic from periampullary non-pancreatic cancer: a nomogram-based prediction model utilizing CT imaging19
Development and validation of MRI-derived deep learning score for non-invasive prediction of PD-L1 expression and prognostic stratification in head and neck squamous cell carcinoma19
Spectral CT imaging for assessment of metastases in melanoma patients: multi-reader evaluation19
Deep learning-based fully automated detection and segmentation of pelvic lymph nodes on diffusion-weighted images for prostate cancer: a multicenter study19
Application of preoperative advanced diffusion magnetic resonance imaging in evaluating the postoperative recurrence of lower grade gliomas19
Study on predicting microsatellite instability in rectal cancer using T2 mapping combined with ADC value18
Microstructure mapping with time-dependent diffusion MRI differentiates primary central nervous system lymphoma from glioblastoma18
Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI18
Patterns of pseudoprogression across different cancer entities treated with immune checkpoint inhibitors18
Diagnostic performance of prospective same-day 18F-FDG PET/MRI and 18F-FDG PET/CT in the staging and response assessment of lymphoma18
Clinical value of SUVpeak-to-tumor centroid distance on FDG PET/CT for predicting neoadjuvant chemotherapy response in patients with breast cancer18
Proceedings of the International Cancer Imaging Society Meeting and 21st Annual Teaching Course18
Image analysis: 68Ga-FAPI-46 PET derived texture parameters improve the differentiation of malignant and benign pulmonary lesions17
Early radiological response pattern predicts long-term response in patients with non-small cell lung cancer treated with immune-checkpoint inhibitors17
Development and validation of the multidimensional machine learning model for preoperative risk stratification in papillary thyroid carcinoma: a multicenter, retrospective cohort study16
Arterial spin labeling and diffusion-weighted imaging for identification of retropharyngeal lymph nodes in patients with nasopharyngeal carcinoma16
Thermal ablation for pulmonary oligometastases from hepatocellular carcinoma: initial experience and retrospective study16
Surviving childhood cancer: the hidden threat of second malignancies16
Development and evaluation of a deep learning framework for pelvic and sacral tumor segmentation from multi-sequence MRI: a retrospective study16
Tumor classification of gastrointestinal liver metastases using CT-based radiomics and deep learning16
Thoracic high resolution computed tomography evaluation of imaging abnormalities of 108 lung cancer patients with different pulmonary function16
A call for objectivity: Radiologists’ proposed wishlist for response evaluation in solid tumors (RECIST 1.1)15
Nomogram based on spectral CT quantitative parameters and typical radiological features for distinguishing benign from malignant thyroid micro-nodules15
Dual-layer spectral detector computed tomography multiparameter machine learning model for prediction of lymph node metastases in esophageal squamous cell carcinoma15
The role of dynamic, static, and delayed total-body PET imaging in the detection and differential diagnosis of oncological lesions15
Detection of solid and subsolid pulmonary nodules with lung MRI: performance of UTE, T1 gradient-echo, and single-shot T2 fast spin echo15
PSMA expression assessed by [18F]PSMA-1007 PET/CT imaging in metastatic hormone-sensitive prostate cancer patients treated with apalutamide15
Human–AI interaction in a cancer-enriched double-reading breast screening cohort: diagnostic accuracy and second-reader behavior15
Intratumoral and peritumoral MRI-based radiomics prediction of histopathological grade in soft tissue sarcomas: a two-center study15
Predicting lymph node metastasis in papillary thyroid carcinoma: radiomics using two types of ultrasound elastography14
Tumor size measurements of pancreatic cancer with neoadjuvant therapy based on RECIST guidelines: is MRI as effective as CT?14
Does clinical T1N0 GGN really require checking for distant metastasis during initial staging for lung cancer?14
Development and validation of ultrasound-based radiomics model to predict germline BRCA mutations in patients with breast cancer14
Contrast enhanced ultrasound of liver lesions in patients treated for childhood malignancies14
Thyroid imaging reporting and data system with MRI morphological features for thyroid nodules: diagnostic performance and unnecessary biopsy rate14
PSMA-PET-derived distance features as biomarkers for predicting outcomes in primary prostate cancer post-radical prostatectomy13
Cancer predisposition syndromes: an imaging review13
Personalized prediction of immunotherapy response in lung cancer patients using advanced radiomics and deep learning13
Efficacy of targeted chemokine receptor 4 PET/CT in evaluating active lesions in multiple myeloma, comparison to 18F-FDG PET/CT13
Inter-observer variation in two-dimensional and three-dimensional ultrasound measurement of papillary thyroid microcarcinoma13
Development of a nomogram for predicting extramural venous invasion in colon cancer using spectral CT multiparameter imaging13
Prediction of relapsed/refractory primary central nervous system lymphoma using pre-chemotherapy ITSS grade on SWI and pre-/post-chemotherapy ADC parameters on DWI13
Using tumor habitat-derived radiomic analysis during pretreatment 18F-FDG PET for predicting KRAS/NRAS/BRAF mutations in colorectal cancer13
A clinical-radiomics nomogram based on dual-layer spectral detector CT to predict cancer stage in pancreatic ductal adenocarcinoma13
The value of 18F-FDG PET/CT and 18F-DOPA PET/CT in determining the initial surgical strategy of patients with medullary thyroid cancer12
Longitudinal CE-MRI-based Siamese network with machine learning to predict tumor response in HCC after DEB-TACE12
Prognostic value of CT-based radiomics in grade 1–2 pancreatic neuroendocrine tumors12
Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features12
Multiparametric detection and outcome prediction of pancreatic cancer involving dual-energy CT, diffusion-weighted MRI, and radiomics12
Value of diffusion kurtosis MR imaging and conventional diffusion weighed imaging for evaluating response to first-line chemotherapy in unresectable pancreatic cancer12
The sonographic characteristics of unicentric castleman disease - a single-center retrospective study12
CT radiomics based on different machine learning models for classifying gross tumor volume and normal liver tissue in hepatocellular carcinoma12
Preoperative dual-ROI mpMRI radiomics integrating intratumoral and periprostatic adipose tissue features with clinical factors for predicting positive surgical margins after radical prostatectomy12
Application of diffusion kurtosis imaging in differentiating T0-T1 from T2 rectal tumors12
Temporal change in skeletal muscle index as a predictor of recurrence for patients with locally advanced colorectal malignancy: a retrospective cohort study12
Predictive value of background parenchymal enhancement on breast magnetic resonance imaging for pathological tumor response to neoadjuvant chemotherapy in breast cancers: a systematic review12
Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique12
Long-axial field-of-view PET/CT: perspectives and review of a revolutionary development in nuclear medicine based on clinical experience in over 7000 patients12
Deep learning radiomics-based prediction model of metachronous distant metastasis following curative resection for retroperitoneal leiomyosarcoma: a bicentric study12
The prognostic role of early tumor shrinkage in patients with hepatocellular carcinoma undergoing immunotherapy12
Effect of disappearing liver metastases during pre-ablation chemotherapy on the prognosis of percutaneous microwave ablation in synchronous colorectal liver metastases patients12
Identification of D842V mutation in gastrointestinal stromal tumors based on CT radiomics: a multi-center study12
Multi-parametric MRI radiomics predicts different HER2 expression in breast cancer11
Efficacy and safety in synchronous core-needle biopsy and cryoablation for highly suspicious malignant pulmonary nodule11
Imaging genomics of cancer: a bibliometric analysis and review11
CT-based radiomics model to predict platinum sensitivity in epithelial ovarian carcinoma: a multicentre study11
Development of a dual energy CT based model to assess response to treatment in patients with high grade serous ovarian cancer: a pilot cohort study11
Growth dynamics of lung nodules: implications for classification in lung cancer screening11
Multi-parameter MRI radiomics model in predicting postoperative progressive cerebral edema and hemorrhage after resection of meningioma11
Percutaneous core-needle biopsy before and immediately after coaxial microwave ablation in solid non-small cell lung cancer: the comparison of genomic testing from specimens11
Use of imaging-based dosimetry for personalising radiopharmaceutical therapy of cancer11
Early post-treatment 18F-FDG PET/CT for predicting radiation-induced hypothyroidism in head and neck cancer11
Hierarchical diagnosis of breast phyllodes tumors enabled by deep learning of ultrasound images: a retrospective multi-center study11
A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer11
Clinical impact of PSMA PET/CT on the management of biochemical recurrence in prostate cancer11
Risk stratification of advanced extranodal extension in retropharyngeal lymph nodes for nasopharyngeal carcinoma: a multi-center study11
Impact of deep learning image reconstruction on volumetric accuracy and image quality of pulmonary nodules with different morphologies in low-dose CT11
MRI based unsuperviced clustering on MIBC reveals intratumor heterogeneity phenotypes and neoadjuvant chemotherapy efficacy11
[68Ga]Ga‑PSMA‑617 PET-based radiomics model to identify candidates for active surveillance amongst patients with GGG 1–2 prostate cancer at biopsy11
Automatic rigid image Fusion of preoperative MR and intraoperative US acquired after craniotomy11
A SHAP-interpretable XGBoost model: MRI-based intratumoral perfusion heterogeneity predicts HER2-zero, -low, and -positive ternary expression status in breast cancer11
Prospective exploratory pilot study of 18 F-FMISO PET/CT for assessing tumor hypoxia in soft tissue sarcomas11
Enhancing 18F-FDG PET image quality and lesion diagnostic performance across different body mass index using the deep progressive learning reconstruction algorithm11
Same-day comparative protocol PET/CT-PET/MRI [68 Ga]Ga-DOTA-TOC in paragangliomas and pheochromocytomas: an approach to personalized medicine11
Extending the clinical capabilities of short- and long-lived positron-emitting radionuclides through high sensitivity PET/CT11
Prediction of axillary lymph node metastasis using a magnetic resonance imaging radiomics model of invasive breast cancer primary tumor10
T1rho imaging of head and neck cancer: its association with pathological and immunohistochemical biomarkers in nasopharyngeal carcinoma10
Proceedings of the 22nd International Cancer Imaging Society Meeting and Annual Teaching Course10
Radiomics signature for dynamic changes of tumor-infiltrating CD8+ T cells and macrophages in cervical cancer during chemoradiotherapy10
Metabolic response prediction using 68Ga-FAPI PET/CT in Non-Hodgkin lymphoma treated with chemotherapy: a pilot study10
Precision medicine in prostate cancer: individualized treatment through radiomics, genomics, and biomarkers10
A hierarchical fusion strategy of deep learning networks for detection and segmentation of hepatocellular carcinoma from computed tomography images10
Diagnostic performance of PET/CT in the detection of liver metastases in well-differentiated NETs10
Evaluation of CE-MATRIX-Enhanced FLAIR imaging in the detection of leptomeningeal metastasis10
Preliminary outcomes of DEB-TACE loaded with raltitrexed in the treatment of unresectable or recurrent hepatocellular carcinoma10
The performance of DWI and ADC values with different b-values for the diagnosis and staging of endometrial carcinoma at 3T10
[18F]FAPI adds value to [18F]FDG PET/CT for diagnosing lymph node metastases in stage I-IIIA non-small cell lung cancer: a prospective study10
Clinical and DCE-CT signs in predicting microvascular invasion in cHCC-ICC10
Utility of the deep learning technique for the diagnosis of orbital invasion on CT in patients with a nasal or sinonasal tumor10
Nomogram based on dual-energy computed tomography to predict the response to induction chemotherapy in patients with nasopharyngeal carcinoma: a two-center study10
Correction: 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 autom10
Whole body FDG PET/MR for progression free and overall survival prediction in patients with relapsed/refractory large B-cell lymphomas undergoing CAR T-cell therapy10
Automation of Wilms’ tumor segmentation by artificial intelligence10
Prognostic value of PSMA PET–derived tumor volume in metastatic castration-resistant prostate cancer treated with abiraterone or enzalutamide10
LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning10
Development and validation of intravoxel incoherent motion diffusion weighted imaging-based model for preoperative distinguishing nuclear grade and survival of clear cell renal cell carcinoma complica10
O-RADS for assessment of adnexal lesions: current status, challenges and future directions9
Development and validation of machine learning models for predicting no. 253 lymph node metastasis in left-sided colorectal cancer using clinical and CT-based radiomic features9
The use of advanced imaging in guiding the further investigation and treatment of primary prostate cancer9
Diffusion–based virtual MR elastography for predicting recurrence of solitary hepatocellular carcinoma after hepatectomy9
CT-based multiple instance and ensemble learning for lymph node metastasis prediction in esophageal squamous cell carcinoma: a multicentre, retrospective study9
Clinical scoring systems, molecular subtypes and baseline [18F]FDG PET/CT image analysis for prognosis of diffuse large B-cell lymphoma9
Characteristics of 18F-FAPI-04 PET/CT in patients with peritoneal metastasis and to predict treatment efficacy, a head-to-head comparison with 18F-FDG PET/CT9
Prevalence and characteristics of benign cartilaginous tumours of the knee joint as identified on MRI scans9
Acinar cell carcinoma of the pancreas: can CT and MR features predict survival?9
A nomogram based on biparametric magnetic resonance imaging for detection of clinically significant prostate cancer in biopsy-naïve patients9
Integrating MRI-based radiomics and clinicopathological features for preoperative prognostication of early-stage cervical adenocarcinoma patients: in comparison to deep learning approach9
Altered glymphatic-related MRI markers in children with acute lymphoblastic and myeloid leukemia at diagnosis9
Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model9
Preoperative multiclass classification of thymic mass lesions based on radiomics and machine learning9
When PSMA is not enough: the diagnostic blind spots of PSMA PET/CT and the added value of [¹⁸F]FDG in high-risk prostate cancer: dual-tracer cohort study9
Prognostic value of early post-treatment 18F-FDG PET/CT in diffuse large B-cell lymphoma patients receiving chimeric antigen receptor T-cell therapy9
Comparison of quantitative whole body PET parameters on [68Ga]Ga-PSMA-11 PET/CT using ordered Subset Expectation Maximization (OSEM) vs. bayesian penalized likelihood (BPL) reconstruction algorithms i9
Computed tomography-based radiomics nomogram for prediction of lympho-vascular and perineural invasion in esophageal squamous cell cancer patients: a retrospective cohort study9
CT-based machine learning model integrating intra- and peri-tumoral radiomics features for predicting occult lymph node metastasis in peripheral lung cancer9
Fusion model integrating multi-sequence MRI radiomics and habitat imaging for predicting pathological complete response in breast cancer treated with neoadjuvant therapy9
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