Cancer Imaging

Papers
(The TQCC of Cancer Imaging is 8. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Prediction of lateral lymph node metastasis with short diameter less than 8 mm in papillary thyroid carcinoma based on radiomics51
Predicting first-line VEGFR-TKI resistance and survival in metastatic clear cell renal cell carcinoma using a clinical-radiomic nomogram50
A whole-body diffusion MRI normal atlas: development, evaluation and initial use34
Optimisation of low and ultra-low dose scanning protocols for ultra-extended field of view PET in a real-world clinical setting29
Predicting malignant risk of ground-glass nodules using convolutional neural networks based on dual-time-point 18F-FDG PET/CT28
Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients28
Comparison of the diagnostic accuracy of enhanced-CT and double contrast-enhanced ultrasound for preoperative T-staging of gastric cancer: a meta-analysis25
Targeted sequencing of DNA/RNA combined with radiomics predicts lymph node metastasis of papillary thyroid carcinoma24
Intravoxel incoherent motion imaging combined with diffusion kurtosis imaging to assess the response to radiotherapy in a rabbit VX2 malignant bone tumor model24
Semiautomated pelvic lymph node treatment response evaluation for patients with advanced prostate cancer: based on MET-RADS-P guidelines21
An MRI-based radiomics nomogram for differentiating spinal metastases from multiple myeloma21
Whole-tumoral metabolic heterogeneity in 18F-FDG PET/CT is a novel prognostic marker for neuroblastoma21
Clinical application of machine learning models in patients with prostate cancer before prostatectomy21
A deep learning model to enhance the classification of primary bone tumors based on incomplete multimodal images in X-ray, CT, and MRI21
Glymphatic system dysfunction and cerebrospinal fluid retention in gliomas: evidence from perivascular space diffusion and volumetric analysis20
Evaluation of 3D ARFI imaging of prostate cancer: diagnostic reliability and concordance with MpMRI19
Diagnostic performance and prognostic value of preoperative 18F-FDG PET/CT in renal cell carcinoma patients with venous tumor thrombus19
Radiomics predicts the prognosis of patients with clear cell renal cell carcinoma by reflecting the tumor heterogeneity and microenvironment19
Predicting prognosis of nasopharyngeal carcinoma based on deep learning: peritumoral region should be valued19
The prognostic significance of semi-quantitative metabolic parameters and tumoral metabolic activity based on 123I-MIBG SPECT/CT in pretreatment neuroblastoma patients19
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 trial18
Clinicopathological and computed tomography features of patients with early-stage non-small-cell lung cancer harboring ALK rearrangement18
HCC portal hypertension imaging score derived from CT predicts re-bleeding and mortality after acute variceal bleeding18
Preoperative splenic area as a prognostic biomarker of early-stage non-small cell lung cancer18
Baseline MRI-based radiomics model assisted predicting disease progression in nasopharyngeal carcinoma patients with complete response after treatment18
Change in diffusion weighted imaging after induction chemotherapy outperforms RECIST guideline for long-term outcome prediction in advanced nasopharyngeal carcinoma17
The diagnostic value of contrast-enhanced ultrasonography in breast ductal abnormalities17
Geographic variability in contemporary utilization of PET imaging for prostate cancer: a medicare claims cohort study17
A transformer-based multi-task deep learning model for simultaneous infiltrated brain area identification and segmentation of gliomas17
Value of high frame rate contrast enhanced ultrasound in gallbladder wall thickening in non-acute setting16
Qualitative and quantitative analysis of solid renal tumors by high-frame-rate contrast-enhanced ultrasound16
Application of preoperative advanced diffusion magnetic resonance imaging in evaluating the postoperative recurrence of lower grade gliomas16
3D airway geometry analysis of factors in airway navigation failure for lung nodules16
Reliability of dynamic susceptibility contrast perfusion metrics in pre- and post-treatment glioma15
Molecular imaging phenotyping for selecting and monitoring radioligand therapy of neuroendocrine neoplasms14
Spectral CT imaging for assessment of metastases in melanoma patients: multi-reader evaluation14
Endometrial carcinoma: use of tracer kinetic modeling of dynamic contrast-enhanced MRI for preoperative risk assessment14
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 carcinoma14
Clinical value of SUVpeak-to-tumor centroid distance on FDG PET/CT for predicting neoadjuvant chemotherapy response in patients with breast cancer14
Contrast enhanced ultrasound of liver lesions in patients treated for childhood malignancies13
Deep learning-based fully automated detection and segmentation of pelvic lymph nodes on diffusion-weighted images for prostate cancer: a multicenter study13
Patterns of pseudoprogression across different cancer entities treated with immune checkpoint inhibitors13
Thoracic high resolution computed tomography evaluation of imaging abnormalities of 108 lung cancer patients with different pulmonary function13
Application of SPECT and PET / CT with computer-aided diagnosis in bone metastasis of prostate cancer: a review13
Diagnostic performance of prospective same-day 18F-FDG PET/MRI and 18F-FDG PET/CT in the staging and response assessment of lymphoma13
Proceedings of the International Cancer Imaging Society Meeting and 21st Annual Teaching Course13
Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI13
Magnetic resonance imaging-based radiomics signature for preoperative prediction of Ki67 expression in bladder cancer12
Predicting lymph node metastasis in papillary thyroid carcinoma: radiomics using two types of ultrasound elastography12
A call for objectivity: Radiologists’ proposed wishlist for response evaluation in solid tumors (RECIST 1.1)12
Arterial spin labeling and diffusion-weighted imaging for identification of retropharyngeal lymph nodes in patients with nasopharyngeal carcinoma12
Thermal ablation for pulmonary oligometastases from hepatocellular carcinoma: initial experience and retrospective study12
Tumor classification of gastrointestinal liver metastases using CT-based radiomics and deep learning12
Nomogram based on spectral CT quantitative parameters and typical radiological features for distinguishing benign from malignant thyroid micro-nodules12
Development and validation of ultrasound-based radiomics model to predict germline BRCA mutations in patients with breast cancer12
Thyroid imaging reporting and data system with MRI morphological features for thyroid nodules: diagnostic performance and unnecessary biopsy rate12
Image analysis: 68Ga-FAPI-46 PET derived texture parameters improve the differentiation of malignant and benign pulmonary lesions12
Development and evaluation of a deep learning framework for pelvic and sacral tumor segmentation from multi-sequence MRI: a retrospective study12
The role of dynamic, static, and delayed total-body PET imaging in the detection and differential diagnosis of oncological lesions12
Tumor size measurements of pancreatic cancer with neoadjuvant therapy based on RECIST guidelines: is MRI as effective as CT?12
Intratumoral and peritumoral MRI-based radiomics prediction of histopathological grade in soft tissue sarcomas: a two-center study12
Imaging genomics of cancer: a bibliometric analysis and review11
Prognostic value of CT-based radiomics in grade 1–2 pancreatic neuroendocrine tumors11
Does clinical T1N0 GGN really require checking for distant metastasis during initial staging for lung cancer?11
Detection of solid and subsolid pulmonary nodules with lung MRI: performance of UTE, T1 gradient-echo, and single-shot T2 fast spin echo11
A clinical-radiomics nomogram based on dual-layer spectral detector CT to predict cancer stage in pancreatic ductal adenocarcinoma11
Predictive value of background parenchymal enhancement on breast magnetic resonance imaging for pathological tumor response to neoadjuvant chemotherapy in breast cancers: a systematic review11
The value of 18F-FDG PET/CT and 18F-DOPA PET/CT in determining the initial surgical strategy of patients with medullary thyroid cancer11
Automatic rigid image Fusion of preoperative MR and intraoperative US acquired after craniotomy11
CT and MRI findings of cystic renal cell carcinoma: comparison with cystic collecting duct carcinoma11
Implementing CT tumor volume and CT pleural thickness into future staging systems for malignant pleural mesothelioma11
Using tumor habitat-derived radiomic analysis during pretreatment 18F-FDG PET for predicting KRAS/NRAS/BRAF mutations in colorectal cancer11
Identification of D842V mutation in gastrointestinal stromal tumors based on CT radiomics: a multi-center study11
CT radiomics based on different machine learning models for classifying gross tumor volume and normal liver tissue in hepatocellular carcinoma11
Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features11
PSMA-PET-derived distance features as biomarkers for predicting outcomes in primary prostate cancer post-radical prostatectomy11
Inter-observer variation in two-dimensional and three-dimensional ultrasound measurement of papillary thyroid microcarcinoma11
Clustering subtypes of breast cancer by combining immunohistochemistry profiles and metabolism characteristics measured using FDG PET/CT11
Personalized prediction of immunotherapy response in lung cancer patients using advanced radiomics and deep learning11
Hierarchical diagnosis of breast phyllodes tumors enabled by deep learning of ultrasound images: a retrospective multi-center 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
Same-day comparative protocol PET/CT-PET/MRI [68 Ga]Ga-DOTA-TOC in paragangliomas and pheochromocytomas: an approach to personalized medicine10
Value of diffusion kurtosis MR imaging and conventional diffusion weighed imaging for evaluating response to first-line chemotherapy in unresectable pancreatic cancer10
CT-based radiomics model to predict platinum sensitivity in epithelial ovarian carcinoma: a multicentre study10
Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique10
Deep learning radiomics-based prediction model of metachronous distant metastasis following curative resection for retroperitoneal leiomyosarcoma: a bicentric study10
Multiparametric detection and outcome prediction of pancreatic cancer involving dual-energy CT, diffusion-weighted MRI, and radiomics10
Prognostic value of cervical nodal necrosis on staging imaging of nasopharyngeal carcinoma in era of intensity-modulated radiotherapy: a systematic review and meta-analysis10
PET/MR fusion texture analysis for the clinical outcome prediction in soft-tissue sarcoma10
The prognostic role of early tumor shrinkage in patients with hepatocellular carcinoma undergoing immunotherapy10
Multi-parameter MRI radiomics model in predicting postoperative progressive cerebral edema and hemorrhage after resection of meningioma9
Percutaneous core-needle biopsy before and immediately after coaxial microwave ablation in solid non-small cell lung cancer: the comparison of genomic testing from specimens9
Use of imaging-based dosimetry for personalising radiopharmaceutical therapy of cancer9
Tumor stiffness measured by 3D magnetic resonance elastography can help predict the aggressiveness of endometrial carcinoma: preliminary findings9
Extending the clinical capabilities of short- and long-lived positron-emitting radionuclides through high sensitivity PET/CT9
The comparative study of color doppler flow imaging, superb microvascular imaging, contrast-enhanced ultrasound micro flow imaging in blood flow analysis of solid renal mass9
Early post-treatment 18F-FDG PET/CT for predicting radiation-induced hypothyroidism in head and neck cancer9
Growth dynamics of lung nodules: implications for classification in lung cancer screening9
Efficacy and safety in synchronous core-needle biopsy and cryoablation for highly suspicious malignant pulmonary nodule9
Magnetic resonance imaging of pure ovarian dysgerminoma: a series of eight cases9
Enhancing 18F-FDG PET image quality and lesion diagnostic performance across different body mass index using the deep progressive learning reconstruction algorithm9
A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer9
Impact of deep learning image reconstruction on volumetric accuracy and image quality of pulmonary nodules with different morphologies in low-dose CT9
[68Ga]Ga‑PSMA‑617 PET-based radiomics model to identify candidates for active surveillance amongst patients with GGG 1–2 prostate cancer at biopsy9
Development of a dual energy CT based model to assess response to treatment in patients with high grade serous ovarian cancer: a pilot cohort study9
[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 study8
Utility of the deep learning technique for the diagnosis of orbital invasion on CT in patients with a nasal or sinonasal tumor8
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 therapy8
Determining the elastography strain ratio cut off value for differentiating benign from malignant breast lesions: systematic review and meta-analysis8
Radiomics signature for dynamic changes of tumor-infiltrating CD8+ T cells and macrophages in cervical cancer during chemoradiotherapy8
Evaluation of CE-MATRIX-Enhanced FLAIR imaging in the detection of leptomeningeal metastasis8
Automation of Wilms’ tumor segmentation by artificial intelligence8
Metabolic response prediction using 68Ga-FAPI PET/CT in Non-Hodgkin lymphoma treated with chemotherapy: a pilot study8
Preliminary outcomes of DEB-TACE loaded with raltitrexed in the treatment of unresectable or recurrent hepatocellular carcinoma8
DCE-MRI is more sensitive than IVIM-DWI for assessing anti-angiogenic treatment-induced changes in colorectal liver metastases8
Proceedings of the 22nd International Cancer Imaging Society Meeting and Annual Teaching Course8
Identifying factors that may influence the classification performance of radiomics models using contrast-enhanced mammography (CEM) images8
Radiology reporting in oncology—oncologists’ perspective8
Proceedings of the International Cancer Imaging Society Meeting and 20th Annual Teaching Course8
LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning8
Prediction of axillary lymph node metastasis using a magnetic resonance imaging radiomics model of invasive breast cancer primary tumor8
Diagnostic performance of PET/CT in the detection of liver metastases in well-differentiated NETs8
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 autom8
Nomogram based on dual-energy computed tomography to predict the response to induction chemotherapy in patients with nasopharyngeal carcinoma: a two-center study8
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