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 2022-06-01 to 2026-06-01.)
ArticleCitations
Survival impact of a KEAP1-NFE2L2 radiomics model in PDL1 ≥ 50% non-small cell lung cancer treated with pembrolizumab: the PEMBROMIC study78
Contrast-enhanced ultrasound quantitative parameters for predicting benign and malignant greater omentum lesions: an applied study74
Comparison of the diagnostic accuracy of enhanced-CT and double contrast-enhanced ultrasound for preoperative T-staging of gastric cancer: a meta-analysis71
Clinical application of machine learning models in patients with prostate cancer before prostatectomy62
Targeted sequencing of DNA/RNA combined with radiomics predicts lymph node metastasis of papillary thyroid carcinoma43
Prediction of lateral lymph node metastasis with short diameter less than 8 mm in papillary thyroid carcinoma based on radiomics43
Whole-tumoral metabolic heterogeneity in 18F-FDG PET/CT is a novel prognostic marker for neuroblastoma40
Optimisation of low and ultra-low dose scanning protocols for ultra-extended field of view PET in a real-world clinical setting35
A whole-body diffusion MRI normal atlas: development, evaluation and initial use32
Predicting malignant risk of ground-glass nodules using convolutional neural networks based on dual-time-point 18F-FDG PET/CT30
An MRI-based radiomics nomogram for differentiating spinal metastases from multiple myeloma30
Predicting first-line VEGFR-TKI resistance and survival in metastatic clear cell renal cell carcinoma using a clinical-radiomic nomogram29
A deep learning model to enhance the classification of primary bone tumors based on incomplete multimodal images in X-ray, CT, and MRI28
Ultrasound-guided percutaneous core biopsy of renal sinus masses: diagnostic yield, safety, and clinical impact28
Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients28
Intravoxel incoherent motion imaging combined with diffusion kurtosis imaging to assess the response to radiotherapy in a rabbit VX2 malignant bone tumor model27
Systematic effects of patient factors and scanner/protocol factors on a Restriction Spectrum Imaging (RSI) quantitative MRI biomarker for prostate cancer27
Application Value of a nomogram integrating contrast-enhanced CT radiomics and clinical indicators in evaluating lymph node metastasis in pediatric peripheral neuroblastoma27
The prognostic significance of semi-quantitative metabolic parameters and tumoral metabolic activity based on 123I-MIBG SPECT/CT in pretreatment neuroblastoma patients26
Parameter-driven habitat imaging based on intravoxel incoherent motion MRI for preoperative prediction of muscle invasion in bladder cancer26
Preoperative low-attenuation area on computed tomography is associated with recurrence after curative resection for non-small-cell lung cancer26
Response assessment in rectal cancer undergoing total neoadjuvant therapy: decision tree analysis integrating contrast enhanced T1-weighted MRI26
Contrast-enhanced ultrasound for diagnosing subtypes of intrahepatic cholangiocarcinoma: a comparative study with poorly differentiated hepatocellular carcinoma25
Predicting prognosis of nasopharyngeal carcinoma based on deep learning: peritumoral region should be valued25
Radiomics predicts the prognosis of patients with clear cell renal cell carcinoma by reflecting the tumor heterogeneity and microenvironment24
Semiautomated pelvic lymph node treatment response evaluation for patients with advanced prostate cancer: based on MET-RADS-P guidelines24
Imaging appearances, CT evolution patterns, and surgical prognosis of stage I lung squamous cell carcinoma24
Glymphatic system dysfunction and cerebrospinal fluid retention in gliomas: evidence from perivascular space diffusion and volumetric analysis24
The CT colonography radiology and data system: history, updates, and future directions23
Evaluation of 3D ARFI imaging of prostate cancer: diagnostic reliability and concordance with MpMRI23
3D airway geometry analysis of factors in airway navigation failure for lung nodules22
Diagnostic performance and prognostic value of preoperative 18F-FDG PET/CT in renal cell carcinoma patients with venous tumor thrombus22
Qualitative and quantitative analysis of solid renal tumors by high-frame-rate contrast-enhanced ultrasound21
Geographic variability in contemporary utilization of PET imaging for prostate cancer: a medicare claims cohort study21
The diagnostic value of contrast-enhanced ultrasonography in breast ductal abnormalities21
Preoperative splenic area as a prognostic biomarker of early-stage non-small cell lung cancer21
A transformer-based multi-task deep learning model for simultaneous infiltrated brain area identification and segmentation of gliomas21
Clinicopathological and computed tomography features of patients with early-stage non-small-cell lung cancer harboring ALK rearrangement21
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
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
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 carcinoma20
Change in diffusion weighted imaging after induction chemotherapy outperforms RECIST guideline for long-term outcome prediction in advanced nasopharyngeal carcinoma20
Reliability of dynamic susceptibility contrast perfusion metrics in pre- and post-treatment glioma20
Multi-class brain tumor MRI segmentation and classification using deep learning and machine learning approaches20
Value of high frame rate contrast enhanced ultrasound in gallbladder wall thickening in non-acute setting20
Differentiating pancreatic from periampullary non-pancreatic cancer: a nomogram-based prediction model utilizing CT imaging19
Study on predicting microsatellite instability in rectal cancer using T2 mapping combined with ADC value19
Spectral CT imaging for assessment of metastases in melanoma patients: multi-reader evaluation19
Clinical value of SUVpeak-to-tumor centroid distance on FDG PET/CT for predicting neoadjuvant chemotherapy response in patients with breast cancer18
Microstructure mapping with time-dependent diffusion MRI differentiates primary central nervous system lymphoma from glioblastoma18
Application of preoperative advanced diffusion magnetic resonance imaging in evaluating the postoperative recurrence of lower grade gliomas18
Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI18
Molecular imaging phenotyping for selecting and monitoring radioligand therapy of neuroendocrine neoplasms18
Diagnostic performance of prospective same-day 18F-FDG PET/MRI and 18F-FDG PET/CT in the staging and response assessment of lymphoma17
Patterns of pseudoprogression across different cancer entities treated with immune checkpoint inhibitors17
Deep learning-based fully automated detection and segmentation of pelvic lymph nodes on diffusion-weighted images for prostate cancer: a multicenter study17
Dual-layer spectral detector computed tomography multiparameter machine learning model for prediction of lymph node metastases in esophageal squamous cell carcinoma16
Thermal ablation for pulmonary oligometastases from hepatocellular carcinoma: initial experience and retrospective study16
Proceedings of the International Cancer Imaging Society Meeting and 21st Annual Teaching Course16
Thoracic high resolution computed tomography evaluation of imaging abnormalities of 108 lung cancer patients with different pulmonary function16
Development and validation of ultrasound-based radiomics model to predict germline BRCA mutations in patients with breast cancer16
PSMA expression assessed by [18F]PSMA-1007 PET/CT imaging in metastatic hormone-sensitive prostate cancer patients treated with apalutamide16
Nomogram based on spectral CT quantitative parameters and typical radiological features for distinguishing benign from malignant thyroid micro-nodules16
Human–AI interaction in a cancer-enriched double-reading breast screening cohort: diagnostic accuracy and second-reader behavior16
Thyroid imaging reporting and data system with MRI morphological features for thyroid nodules: diagnostic performance and unnecessary biopsy rate16
Detection of solid and subsolid pulmonary nodules with lung MRI: performance of UTE, T1 gradient-echo, and single-shot T2 fast spin echo16
Development and evaluation of a deep learning framework for pelvic and sacral tumor segmentation from multi-sequence MRI: a retrospective study15
Tumor size measurements of pancreatic cancer with neoadjuvant therapy based on RECIST guidelines: is MRI as effective as CT?15
Arterial spin labeling and diffusion-weighted imaging for identification of retropharyngeal lymph nodes in patients with nasopharyngeal carcinoma15
Development and validation of the multidimensional machine learning model for preoperative risk stratification in papillary thyroid carcinoma: a multicenter, retrospective cohort study14
The role of dynamic, static, and delayed total-body PET imaging in the detection and differential diagnosis of oncological lesions14
Tumor classification of gastrointestinal liver metastases using CT-based radiomics and deep learning14
Contrast enhanced ultrasound of liver lesions in patients treated for childhood malignancies14
A call for objectivity: Radiologists’ proposed wishlist for response evaluation in solid tumors (RECIST 1.1)14
Surviving childhood cancer: the hidden threat of second malignancies14
Image analysis: 68Ga-FAPI-46 PET derived texture parameters improve the differentiation of malignant and benign pulmonary lesions14
Intratumoral and peritumoral MRI-based radiomics prediction of histopathological grade in soft tissue sarcomas: a two-center study13
PSMA-PET-derived distance features as biomarkers for predicting outcomes in primary prostate cancer post-radical prostatectomy13
Personalized prediction of immunotherapy response in lung cancer patients using advanced radiomics and deep learning13
Inter-observer variation in two-dimensional and three-dimensional ultrasound measurement of papillary thyroid microcarcinoma13
Cancer predisposition syndromes: an imaging review13
Using tumor habitat-derived radiomic analysis during pretreatment 18F-FDG PET for predicting KRAS/NRAS/BRAF mutations in colorectal cancer13
Prediction of relapsed/refractory primary central nervous system lymphoma using pre-chemotherapy ITSS grade on SWI and pre-/post-chemotherapy ADC parameters on DWI13
Early radiological response pattern predicts long-term response in patients with non-small cell lung cancer treated with immune-checkpoint inhibitors13
Does clinical T1N0 GGN really require checking for distant metastasis during initial staging for lung cancer?13
Efficacy of targeted chemokine receptor 4 PET/CT in evaluating active lesions in multiple myeloma, comparison to 18F-FDG PET/CT13
Predicting lymph node metastasis in papillary thyroid carcinoma: radiomics using two types of ultrasound elastography13
Hierarchical diagnosis of breast phyllodes tumors enabled by deep learning of ultrasound images: a retrospective multi-center study12
Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique12
Deep learning radiomics-based prediction model of metachronous distant metastasis following curative resection for retroperitoneal leiomyosarcoma: a bicentric study12
The sonographic characteristics of unicentric castleman disease - a single-center retrospective study12
Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features12
A clinical-radiomics nomogram based on dual-layer spectral detector CT to predict cancer stage in pancreatic ductal adenocarcinoma12
Application of diffusion kurtosis imaging in differentiating T0-T1 from T2 rectal tumors12
Value of diffusion kurtosis MR imaging and conventional diffusion weighed imaging for evaluating response to first-line chemotherapy in unresectable pancreatic cancer12
The prognostic role of early tumor shrinkage in patients with hepatocellular carcinoma undergoing immunotherapy12
Predictive value of background parenchymal enhancement on breast magnetic resonance imaging for pathological tumor response to neoadjuvant chemotherapy in breast cancers: a systematic review12
Effect of disappearing liver metastases during pre-ablation chemotherapy on the prognosis of percutaneous microwave ablation in synchronous colorectal liver metastases patients12
Imaging genomics of cancer: a bibliometric analysis and review12
Identification of D842V mutation in gastrointestinal stromal tumors based on CT radiomics: a multi-center study12
CT radiomics based on different machine learning models for classifying gross tumor volume and normal liver tissue in hepatocellular carcinoma11
The value of 18F-FDG PET/CT and 18F-DOPA PET/CT in determining the initial surgical strategy of patients with medullary thyroid cancer11
Efficacy and safety in synchronous core-needle biopsy and cryoablation for highly suspicious malignant pulmonary nodule11
Enhancing 18F-FDG PET image quality and lesion diagnostic performance across different body mass index using the deep progressive learning reconstruction algorithm11
Temporal change in skeletal muscle index as a predictor of recurrence for patients with locally advanced colorectal malignancy: a retrospective cohort study11
Prognostic value of CT-based radiomics in grade 1–2 pancreatic neuroendocrine tumors11
Automatic rigid image Fusion of preoperative MR and intraoperative US acquired after craniotomy11
[68Ga]Ga‑PSMA‑617 PET-based radiomics model to identify candidates for active surveillance amongst patients with GGG 1–2 prostate cancer at biopsy11
Same-day comparative protocol PET/CT-PET/MRI [68 Ga]Ga-DOTA-TOC in paragangliomas and pheochromocytomas: an approach to personalized medicine11
Multiparametric detection and outcome prediction of pancreatic cancer involving dual-energy CT, diffusion-weighted MRI, and radiomics11
Longitudinal CE-MRI-based Siamese network with machine learning to predict tumor response in HCC after DEB-TACE11
Preoperative dual-ROI mpMRI radiomics integrating intratumoral and periprostatic adipose tissue features with clinical factors for predicting positive surgical margins after radical prostatectomy11
Early post-treatment 18F-FDG PET/CT for predicting radiation-induced hypothyroidism in head and neck cancer11
Use of imaging-based dosimetry for personalising radiopharmaceutical therapy of cancer11
Long-axial field-of-view PET/CT: perspectives and review of a revolutionary development in nuclear medicine based on clinical experience in over 7000 patients11
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 study10
Percutaneous core-needle biopsy before and immediately after coaxial microwave ablation in solid non-small cell lung cancer: the comparison of genomic testing from specimens10
A SHAP-interpretable XGBoost model: MRI-based intratumoral perfusion heterogeneity predicts HER2-zero, -low, and -positive ternary expression status in breast cancer10
Evaluation of CE-MATRIX-Enhanced FLAIR imaging in the detection of leptomeningeal metastasis10
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
Impact of deep learning image reconstruction on volumetric accuracy and image quality of pulmonary nodules with different morphologies in low-dose CT10
A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer10
Extending the clinical capabilities of short- and long-lived positron-emitting radionuclides through high sensitivity PET/CT10
Growth dynamics of lung nodules: implications for classification in lung cancer screening10
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
Multi-parametric MRI radiomics predicts different HER2 expression in breast cancer10
Multi-parameter MRI radiomics model in predicting postoperative progressive cerebral edema and hemorrhage after resection of meningioma10
MRI based unsuperviced clustering on MIBC reveals intratumor heterogeneity phenotypes and neoadjuvant chemotherapy efficacy10
Proceedings of the 22nd International Cancer Imaging Society Meeting and Annual Teaching Course10
T1rho imaging of head and neck cancer: its association with pathological and immunohistochemical biomarkers in nasopharyngeal carcinoma10
Prognostic value of PSMA PET–derived tumor volume in metastatic castration-resistant prostate cancer treated with abiraterone or enzalutamide9
Clinical scoring systems, molecular subtypes and baseline [18F]FDG PET/CT image analysis for prognosis of diffuse large B-cell lymphoma9
A hierarchical fusion strategy of deep learning networks for detection and segmentation of hepatocellular carcinoma from computed tomography images9
Precision medicine in prostate cancer: individualized treatment through radiomics, genomics, and biomarkers9
CT-based multiple instance and ensemble learning for lymph node metastasis prediction in esophageal squamous cell carcinoma: a multicentre, retrospective study9
Radiomics signature for dynamic changes of tumor-infiltrating CD8+ T cells and macrophages in cervical cancer during chemoradiotherapy9
Automation of Wilms’ tumor segmentation by artificial intelligence9
Nomogram based on dual-energy computed tomography to predict the response to induction chemotherapy in patients with nasopharyngeal carcinoma: a two-center study9
Utility of the deep learning technique for the diagnosis of orbital invasion on CT in patients with a nasal or sinonasal tumor9
Clinical and DCE-CT signs in predicting microvascular invasion in cHCC-ICC9
CT-based machine learning model integrating intra- and peri-tumoral radiomics features for predicting occult lymph node metastasis in peripheral lung cancer9
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 complica9
Diagnostic performance of PET/CT in the detection of liver metastases in well-differentiated NETs9
Preliminary outcomes of DEB-TACE loaded with raltitrexed in the treatment of unresectable or recurrent hepatocellular carcinoma9
Prediction of axillary lymph node metastasis using a magnetic resonance imaging radiomics model of invasive breast cancer primary tumor9
Metabolic response prediction using 68Ga-FAPI PET/CT in Non-Hodgkin lymphoma treated with chemotherapy: a pilot study9
Fusion model integrating multi-sequence MRI radiomics and habitat imaging for predicting pathological complete response in breast cancer treated with neoadjuvant therapy9
The performance of DWI and ADC values with different b-values for the diagnosis and staging of endometrial carcinoma at 3T9
Altered glymphatic-related MRI markers in children with acute lymphoblastic and myeloid leukemia at diagnosis9
[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 study9
LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning9
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