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 2022-05-01 to 2026-05-01.)
ArticleCitations
Intravoxel incoherent motion imaging combined with diffusion kurtosis imaging to assess the response to radiotherapy in a rabbit VX2 malignant bone tumor model75
Survival impact of a KEAP1-NFE2L2 radiomics model in PDL1 ≥ 50% non-small cell lung cancer treated with pembrolizumab: the PEMBROMIC study70
Contrast-enhanced ultrasound quantitative parameters for predicting benign and malignant greater omentum lesions: an applied study67
Comparison of the diagnostic accuracy of enhanced-CT and double contrast-enhanced ultrasound for preoperative T-staging of gastric cancer: a meta-analysis60
Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients41
Clinical application of machine learning models in patients with prostate cancer before prostatectomy40
Predicting malignant risk of ground-glass nodules using convolutional neural networks based on dual-time-point 18F-FDG PET/CT37
Ultrasound-guided percutaneous core biopsy of renal sinus masses: diagnostic yield, safety, and clinical impact34
Predicting first-line VEGFR-TKI resistance and survival in metastatic clear cell renal cell carcinoma using a clinical-radiomic nomogram34
Systematic effects of patient factors and scanner/protocol factors on a Restriction Spectrum Imaging (RSI) quantitative MRI biomarker for prostate cancer31
Whole-tumoral metabolic heterogeneity in 18F-FDG PET/CT is a novel prognostic marker for neuroblastoma30
Prediction of lateral lymph node metastasis with short diameter less than 8 mm in papillary thyroid carcinoma based on radiomics28
Targeted sequencing of DNA/RNA combined with radiomics predicts lymph node metastasis of papillary thyroid carcinoma28
A deep learning model to enhance the classification of primary bone tumors based on incomplete multimodal images in X-ray, CT, and MRI27
Glymphatic system dysfunction and cerebrospinal fluid retention in gliomas: evidence from perivascular space diffusion and volumetric analysis27
Optimisation of low and ultra-low dose scanning protocols for ultra-extended field of view PET in a real-world clinical setting27
Predicting prognosis of nasopharyngeal carcinoma based on deep learning: peritumoral region should be valued27
A whole-body diffusion MRI normal atlas: development, evaluation and initial use27
An MRI-based radiomics nomogram for differentiating spinal metastases from multiple myeloma27
Semiautomated pelvic lymph node treatment response evaluation for patients with advanced prostate cancer: based on MET-RADS-P guidelines26
Diagnostic performance and prognostic value of preoperative 18F-FDG PET/CT in renal cell carcinoma patients with venous tumor thrombus25
Parameter-driven habitat imaging based on intravoxel incoherent motion MRI for preoperative prediction of muscle invasion in bladder cancer25
The prognostic significance of semi-quantitative metabolic parameters and tumoral metabolic activity based on 123I-MIBG SPECT/CT in pretreatment neuroblastoma patients24
Imaging appearances, CT evolution patterns, and surgical prognosis of stage I lung squamous cell carcinoma24
Response assessment in rectal cancer undergoing total neoadjuvant therapy: decision tree analysis integrating contrast enhanced T1-weighted MRI24
Evaluation of 3D ARFI imaging of prostate cancer: diagnostic reliability and concordance with MpMRI24
Change in diffusion weighted imaging after induction chemotherapy outperforms RECIST guideline for long-term outcome prediction in advanced nasopharyngeal carcinoma23
Radiomics predicts the prognosis of patients with clear cell renal cell carcinoma by reflecting the tumor heterogeneity and microenvironment23
Preoperative splenic area as a prognostic biomarker of early-stage non-small cell lung cancer23
A transformer-based multi-task deep learning model for simultaneous infiltrated brain area identification and segmentation of gliomas23
Contrast-enhanced ultrasound for diagnosing subtypes of intrahepatic cholangiocarcinoma: a comparative study with poorly differentiated hepatocellular carcinoma23
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 trial22
3D airway geometry analysis of factors in airway navigation failure for lung nodules22
Multi-class brain tumor MRI segmentation and classification using deep learning and machine learning approaches21
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 study20
Clinicopathological and computed tomography features of patients with early-stage non-small-cell lung cancer harboring ALK rearrangement20
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
HCC portal hypertension imaging score derived from CT predicts re-bleeding and mortality after acute variceal bleeding20
The diagnostic value of contrast-enhanced ultrasonography in breast ductal abnormalities20
Value of high frame rate contrast enhanced ultrasound in gallbladder wall thickening in non-acute setting20
Deep learning-based fully automated detection and segmentation of pelvic lymph nodes on diffusion-weighted images for prostate cancer: a multicenter study19
Study on predicting microsatellite instability in rectal cancer using T2 mapping combined with ADC value19
Reliability of dynamic susceptibility contrast perfusion metrics in pre- and post-treatment glioma19
Spectral CT imaging for assessment of metastases in melanoma patients: multi-reader evaluation19
Molecular imaging phenotyping for selecting and monitoring radioligand therapy of neuroendocrine neoplasms19
Proceedings of the 24th International Cancer Imaging Society Meeting and Annual Teaching Course19
Clinical value of SUVpeak-to-tumor centroid distance on FDG PET/CT for predicting neoadjuvant chemotherapy response in patients with breast cancer19
Patterns of pseudoprogression across different cancer entities treated with immune checkpoint inhibitors19
Differentiating pancreatic from periampullary non-pancreatic cancer: a nomogram-based prediction model utilizing CT imaging19
Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI18
Diagnostic performance of prospective same-day 18F-FDG PET/MRI and 18F-FDG PET/CT in the staging and response assessment of lymphoma18
Application of preoperative advanced diffusion magnetic resonance imaging in evaluating the postoperative recurrence of lower grade gliomas18
Proceedings of the International Cancer Imaging Society Meeting and 21st Annual Teaching Course18
A call for objectivity: Radiologists’ proposed wishlist for response evaluation in solid tumors (RECIST 1.1)18
Thermal ablation for pulmonary oligometastases from hepatocellular carcinoma: initial experience and retrospective study17
Dual-layer spectral detector computed tomography multiparameter machine learning model for prediction of lymph node metastases in esophageal squamous cell carcinoma17
Human–AI interaction in a cancer-enriched double-reading breast screening cohort: diagnostic accuracy and second-reader behavior17
Development and validation of ultrasound-based radiomics model to predict germline BRCA mutations in patients with breast cancer17
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
Nomogram based on spectral CT quantitative parameters and typical radiological features for distinguishing benign from malignant thyroid micro-nodules16
Image analysis: 68Ga-FAPI-46 PET derived texture parameters improve the differentiation of malignant and benign pulmonary lesions16
Thoracic high resolution computed tomography evaluation of imaging abnormalities of 108 lung cancer patients with different pulmonary function16
Thyroid imaging reporting and data system with MRI morphological features for thyroid nodules: diagnostic performance and unnecessary biopsy rate16
Tumor size measurements of pancreatic cancer with neoadjuvant therapy based on RECIST guidelines: is MRI as effective as CT?16
PSMA expression assessed by [18F]PSMA-1007 PET/CT imaging in metastatic hormone-sensitive prostate cancer patients treated with apalutamide16
Arterial spin labeling and diffusion-weighted imaging for identification of retropharyngeal lymph nodes in patients with nasopharyngeal carcinoma15
Contrast enhanced ultrasound of liver lesions in patients treated for childhood malignancies15
Intratumoral and peritumoral MRI-based radiomics prediction of histopathological grade in soft tissue sarcomas: a two-center study15
Detection of solid and subsolid pulmonary nodules with lung MRI: performance of UTE, T1 gradient-echo, and single-shot T2 fast spin echo15
Surviving childhood cancer: the hidden threat of second malignancies15
Cancer predisposition syndromes: an imaging review14
Development and validation of the multidimensional machine learning model for preoperative risk stratification in papillary thyroid carcinoma: a multicenter, retrospective cohort study14
Personalized prediction of immunotherapy response in lung cancer patients using advanced radiomics and deep learning14
The role of dynamic, static, and delayed total-body PET imaging in the detection and differential diagnosis of oncological lesions14
PSMA-PET-derived distance features as biomarkers for predicting outcomes in primary prostate cancer post-radical prostatectomy14
Predicting lymph node metastasis in papillary thyroid carcinoma: radiomics using two types of ultrasound elastography14
A clinical-radiomics nomogram based on dual-layer spectral detector CT to predict cancer stage in pancreatic ductal adenocarcinoma13
Efficacy of targeted chemokine receptor 4 PET/CT in evaluating active lesions in multiple myeloma, comparison to 18F-FDG PET/CT13
Using tumor habitat-derived radiomic analysis during pretreatment 18F-FDG PET for predicting KRAS/NRAS/BRAF mutations in colorectal cancer13
Does clinical T1N0 GGN really require checking for distant metastasis during initial staging for lung cancer?13
CT radiomics based on different machine learning models for classifying gross tumor volume and normal liver tissue in hepatocellular carcinoma13
Inter-observer variation in two-dimensional and three-dimensional ultrasound measurement of papillary thyroid microcarcinoma13
Automatic rigid image Fusion of preoperative MR and intraoperative US acquired after craniotomy13
Deep learning radiomics-based prediction model of metachronous distant metastasis following curative resection for retroperitoneal leiomyosarcoma: a bicentric study12
Hierarchical diagnosis of breast phyllodes tumors enabled by deep learning of ultrasound images: a retrospective multi-center study12
CT-based radiomics model to predict platinum sensitivity in epithelial ovarian carcinoma: a multicentre study12
Temporal change in skeletal muscle index as a predictor of recurrence for patients with locally advanced colorectal malignancy: a retrospective cohort study12
Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique12
Effect of disappearing liver metastases during pre-ablation chemotherapy on the prognosis of percutaneous microwave ablation in synchronous colorectal liver metastases patients12
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
Prognostic value of cervical nodal necrosis on staging imaging of nasopharyngeal carcinoma in era of intensity-modulated radiotherapy: a systematic review and meta-analysis12
Predictive value of background parenchymal enhancement on breast magnetic resonance imaging for pathological tumor response to neoadjuvant chemotherapy in breast cancers: a systematic review12
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 cancer11
The sonographic characteristics of unicentric castleman disease - a single-center retrospective study11
Identification of D842V mutation in gastrointestinal stromal tumors based on CT radiomics: a multi-center study11
Multiparametric detection and outcome prediction of pancreatic cancer involving dual-energy CT, diffusion-weighted MRI, and radiomics11
Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features11
Imaging genomics of cancer: a bibliometric analysis and review11
Prognostic value of CT-based radiomics in grade 1–2 pancreatic neuroendocrine tumors11
[68Ga]Ga‑PSMA‑617 PET-based radiomics model to identify candidates for active surveillance amongst patients with GGG 1–2 prostate cancer at biopsy11
Early post-treatment 18F-FDG PET/CT for predicting radiation-induced hypothyroidism in head and neck cancer11
The prognostic role of early tumor shrinkage in patients with hepatocellular carcinoma undergoing immunotherapy11
Longitudinal CE-MRI-based Siamese network with machine learning to predict tumor response in HCC after DEB-TACE11
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
MRI based unsuperviced clustering on MIBC reveals intratumor heterogeneity phenotypes and neoadjuvant chemotherapy efficacy10
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
Identifying factors that may influence the classification performance of radiomics models using contrast-enhanced mammography (CEM) images10
T1rho imaging of head and neck cancer: its association with pathological and immunohistochemical biomarkers in nasopharyngeal carcinoma10
Impact of deep learning image reconstruction on volumetric accuracy and image quality of pulmonary nodules with different morphologies in low-dose CT10
Use of imaging-based dosimetry for personalising radiopharmaceutical therapy of cancer10
Same-day comparative protocol PET/CT-PET/MRI [68 Ga]Ga-DOTA-TOC in paragangliomas and pheochromocytomas: an approach to personalized medicine10
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
A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer10
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
Evaluation of CE-MATRIX-Enhanced FLAIR imaging in the detection of leptomeningeal metastasis10
Proceedings of the 22nd International Cancer Imaging Society Meeting and Annual Teaching Course10
Precision medicine in prostate cancer: individualized treatment through radiomics, genomics, and biomarkers10
Growth dynamics of lung nodules: implications for classification in lung cancer screening10
The comparative study of color doppler flow imaging, superb microvascular imaging, contrast-enhanced ultrasound micro flow imaging in blood flow analysis of solid renal mass10
Extending the clinical capabilities of short- and long-lived positron-emitting radionuclides through high sensitivity PET/CT10
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
Radiomics signature for dynamic changes of tumor-infiltrating CD8+ T cells and macrophages in cervical cancer during chemoradiotherapy10
Nomogram based on dual-energy computed tomography to predict the response to induction chemotherapy in patients with nasopharyngeal carcinoma: a two-center study10
Multi-parameter MRI radiomics model in predicting postoperative progressive cerebral edema and hemorrhage after resection of meningioma10
Enhancing 18F-FDG PET image quality and lesion diagnostic performance across different body mass index using the deep progressive learning reconstruction algorithm10
Multi-parametric MRI radiomics predicts different HER2 expression in breast cancer10
Preliminary outcomes of DEB-TACE loaded with raltitrexed in the treatment of unresectable or recurrent hepatocellular carcinoma9
Automation of Wilms’ tumor segmentation by artificial intelligence9
Prediction of axillary lymph node metastasis using a magnetic resonance imaging radiomics model of invasive breast cancer primary tumor9
Fusion model integrating multi-sequence MRI radiomics and habitat imaging for predicting pathological complete response in breast cancer treated with neoadjuvant therapy9
Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model9
A hierarchical fusion strategy of deep learning networks for detection and segmentation of hepatocellular carcinoma from computed tomography images9
[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
Metabolic response prediction using 68Ga-FAPI PET/CT in Non-Hodgkin lymphoma treated with chemotherapy: a pilot study9
Clinical and DCE-CT signs in predicting microvascular invasion in cHCC-ICC9
Clinical scoring systems, molecular subtypes and baseline [18F]FDG PET/CT image analysis for prognosis of diffuse large B-cell lymphoma9
The performance of DWI and ADC values with different b-values for the diagnosis and staging of endometrial carcinoma at 3T9
Diagnostic performance of PET/CT in the detection of liver metastases in well-differentiated NETs9
LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning9
Utility of the deep learning technique for the diagnosis of orbital invasion on CT in patients with a nasal or sinonasal tumor9
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
CT-based machine learning model integrating intra- and peri-tumoral radiomics features for predicting occult lymph node metastasis in peripheral lung cancer9
CT-based multiple instance and ensemble learning for lymph node metastasis prediction in esophageal squamous cell carcinoma: a multicentre, retrospective study9
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