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 2021-11-01 to 2025-11-01.)
ArticleCitations
Predicting first-line VEGFR-TKI resistance and survival in metastatic clear cell renal cell carcinoma using a clinical-radiomic nomogram63
Optimisation of low and ultra-low dose scanning protocols for ultra-extended field of view PET in a real-world clinical setting39
Comparison of the diagnostic accuracy of enhanced-CT and double contrast-enhanced ultrasound for preoperative T-staging of gastric cancer: a meta-analysis38
Predicting malignant risk of ground-glass nodules using convolutional neural networks based on dual-time-point 18F-FDG PET/CT37
Whole-tumoral metabolic heterogeneity in 18F-FDG PET/CT is a novel prognostic marker for neuroblastoma31
A whole-body diffusion MRI normal atlas: development, evaluation and initial use31
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 carcinoma27
A deep learning model to enhance the classification of primary bone tumors based on incomplete multimodal images in X-ray, CT, and MRI26
Intravoxel incoherent motion imaging combined with diffusion kurtosis imaging to assess the response to radiotherapy in a rabbit VX2 malignant bone tumor model26
Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients25
An MRI-based radiomics nomogram for differentiating spinal metastases from multiple myeloma25
Clinical application of machine learning models in patients with prostate cancer before prostatectomy25
Semiautomated pelvic lymph node treatment response evaluation for patients with advanced prostate cancer: based on MET-RADS-P guidelines24
The prognostic significance of semi-quantitative metabolic parameters and tumoral metabolic activity based on 123I-MIBG SPECT/CT in pretreatment neuroblastoma patients23
Predicting prognosis of nasopharyngeal carcinoma based on deep learning: peritumoral region should be valued22
Glymphatic system dysfunction and cerebrospinal fluid retention in gliomas: evidence from perivascular space diffusion and volumetric analysis22
Diagnostic performance and prognostic value of preoperative 18F-FDG PET/CT in renal cell carcinoma patients with venous tumor thrombus22
HCC portal hypertension imaging score derived from CT predicts re-bleeding and mortality after acute variceal bleeding21
Contrast-enhanced ultrasound for diagnosing subtypes of intrahepatic cholangiocarcinoma: a comparative study with poorly differentiated hepatocellular carcinoma21
Radiomics predicts the prognosis of patients with clear cell renal cell carcinoma by reflecting the tumor heterogeneity and microenvironment21
Evaluation of 3D ARFI imaging of prostate cancer: diagnostic reliability and concordance with MpMRI21
Baseline MRI-based radiomics model assisted predicting disease progression in nasopharyngeal carcinoma patients with complete response after treatment21
Preoperative splenic area as a prognostic biomarker of early-stage non-small cell lung cancer20
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 trial20
Clinicopathological and computed tomography features of patients with early-stage non-small-cell lung cancer harboring ALK rearrangement20
Change in diffusion weighted imaging after induction chemotherapy outperforms RECIST guideline for long-term outcome prediction in advanced nasopharyngeal carcinoma20
3D airway geometry analysis of factors in airway navigation failure for lung nodules19
Geographic variability in contemporary utilization of PET imaging for prostate cancer: a medicare claims cohort study18
Value of high frame rate contrast enhanced ultrasound in gallbladder wall thickening in non-acute setting18
A transformer-based multi-task deep learning model for simultaneous infiltrated brain area identification and segmentation of gliomas18
Qualitative and quantitative analysis of solid renal tumors by high-frame-rate contrast-enhanced ultrasound18
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 carcinoma17
The diagnostic value of contrast-enhanced ultrasonography in breast ductal abnormalities17
Application of preoperative advanced diffusion magnetic resonance imaging in evaluating the postoperative recurrence of lower grade gliomas17
Application of SPECT and PET / CT with computer-aided diagnosis in bone metastasis of prostate cancer: a review16
Deep learning-based fully automated detection and segmentation of pelvic lymph nodes on diffusion-weighted images for prostate cancer: a multicenter study16
Reliability of dynamic susceptibility contrast perfusion metrics in pre- and post-treatment glioma16
Proceedings of the 24th International Cancer Imaging Society Meeting and Annual Teaching Course16
Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI16
Clinical value of SUVpeak-to-tumor centroid distance on FDG PET/CT for predicting neoadjuvant chemotherapy response in patients with breast cancer16
Endometrial carcinoma: use of tracer kinetic modeling of dynamic contrast-enhanced MRI for preoperative risk assessment15
Spectral CT imaging for assessment of metastases in melanoma patients: multi-reader evaluation15
Proceedings of the International Cancer Imaging Society Meeting and 21st Annual Teaching Course15
Molecular imaging phenotyping for selecting and monitoring radioligand therapy of neuroendocrine neoplasms15
Tumor size measurements of pancreatic cancer with neoadjuvant therapy based on RECIST guidelines: is MRI as effective as CT?15
Diagnostic performance of prospective same-day 18F-FDG PET/MRI and 18F-FDG PET/CT in the staging and response assessment of lymphoma15
Patterns of pseudoprogression across different cancer entities treated with immune checkpoint inhibitors15
Differentiating pancreatic from periampullary non-pancreatic cancer: a nomogram-based prediction model utilizing CT imaging15
Thoracic high resolution computed tomography evaluation of imaging abnormalities of 108 lung cancer patients with different pulmonary function15
A call for objectivity: Radiologists’ proposed wishlist for response evaluation in solid tumors (RECIST 1.1)14
Nomogram based on spectral CT quantitative parameters and typical radiological features for distinguishing benign from malignant thyroid micro-nodules14
Magnetic resonance imaging-based radiomics signature for preoperative prediction of Ki67 expression in bladder cancer14
Arterial spin labeling and diffusion-weighted imaging for identification of retropharyngeal lymph nodes in patients with nasopharyngeal carcinoma14
Image analysis: 68Ga-FAPI-46 PET derived texture parameters improve the differentiation of malignant and benign pulmonary lesions14
Thermal ablation for pulmonary oligometastases from hepatocellular carcinoma: initial experience and retrospective study14
Intratumoral and peritumoral MRI-based radiomics prediction of histopathological grade in soft tissue sarcomas: a two-center study14
Development and validation of the multidimensional machine learning model for preoperative risk stratification in papillary thyroid carcinoma: a multicenter, retrospective cohort study14
Detection of solid and subsolid pulmonary nodules with lung MRI: performance of UTE, T1 gradient-echo, and single-shot T2 fast spin echo13
Inter-observer variation in two-dimensional and three-dimensional ultrasound measurement of papillary thyroid microcarcinoma13
Personalized prediction of immunotherapy response in lung cancer patients using advanced radiomics and deep learning13
Development and evaluation of a deep learning framework for pelvic and sacral tumor segmentation from multi-sequence MRI: a retrospective study13
Development and validation of ultrasound-based radiomics model to predict germline BRCA mutations in patients with breast cancer13
Thyroid imaging reporting and data system with MRI morphological features for thyroid nodules: diagnostic performance and unnecessary biopsy rate13
Using tumor habitat-derived radiomic analysis during pretreatment 18F-FDG PET for predicting KRAS/NRAS/BRAF mutations in colorectal cancer13
Identification of D842V mutation in gastrointestinal stromal tumors based on CT radiomics: a multi-center study13
The role of dynamic, static, and delayed total-body PET imaging in the detection and differential diagnosis of oncological lesions13
Contrast enhanced ultrasound of liver lesions in patients treated for childhood malignancies13
PSMA-PET-derived distance features as biomarkers for predicting outcomes in primary prostate cancer post-radical prostatectomy13
Does clinical T1N0 GGN really require checking for distant metastasis during initial staging for lung cancer?13
A clinical-radiomics nomogram based on dual-layer spectral detector CT to predict cancer stage in pancreatic ductal adenocarcinoma13
Predicting lymph node metastasis in papillary thyroid carcinoma: radiomics using two types of ultrasound elastography13
Tumor classification of gastrointestinal liver metastases using CT-based radiomics and deep learning13
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
Imaging genomics of cancer: a bibliometric analysis and review12
The value of 18F-FDG PET/CT and 18F-DOPA PET/CT in determining the initial surgical strategy of patients with medullary thyroid cancer12
Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features12
Longitudinal CE-MRI-based Siamese network with machine learning to predict tumor response in HCC after DEB-TACE12
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
PET/MR fusion texture analysis for the clinical outcome prediction in soft-tissue sarcoma12
Prognostic value of CT-based radiomics in grade 1–2 pancreatic neuroendocrine tumors12
CT-based radiomics model to predict platinum sensitivity in epithelial ovarian carcinoma: a multicentre 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 technique11
CT radiomics based on different machine learning models for classifying gross tumor volume and normal liver tissue in hepatocellular carcinoma11
Automatic rigid image Fusion of preoperative MR and intraoperative US acquired after craniotomy11
The prognostic role of early tumor shrinkage in patients with hepatocellular carcinoma undergoing immunotherapy11
Multiparametric detection and outcome prediction of pancreatic cancer involving dual-energy CT, diffusion-weighted MRI, and radiomics11
The sonographic characteristics of unicentric castleman disease - a single-center retrospective study11
Prognostic value of cervical nodal necrosis on staging imaging of nasopharyngeal carcinoma in era of intensity-modulated radiotherapy: a systematic review and meta-analysis11
Effect of disappearing liver metastases during pre-ablation chemotherapy on the prognosis of percutaneous microwave ablation in synchronous colorectal liver metastases patients11
A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer10
Same-day comparative protocol PET/CT-PET/MRI [68 Ga]Ga-DOTA-TOC in paragangliomas and pheochromocytomas: an approach to personalized medicine10
Multi-parameter MRI radiomics model in predicting postoperative progressive cerebral edema and hemorrhage after resection of meningioma10
Early post-treatment 18F-FDG PET/CT for predicting radiation-induced hypothyroidism in head and neck cancer10
Efficacy and safety in synchronous core-needle biopsy and cryoablation for highly suspicious malignant pulmonary nodule10
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
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
Determining the elastography strain ratio cut off value for differentiating benign from malignant breast lesions: systematic review and meta-analysis10
[68Ga]Ga‑PSMA‑617 PET-based radiomics model to identify candidates for active surveillance amongst patients with GGG 1–2 prostate cancer at biopsy10
Value of diffusion kurtosis MR imaging and conventional diffusion weighed imaging for evaluating response to first-line chemotherapy in unresectable pancreatic cancer10
Extending the clinical capabilities of short- and long-lived positron-emitting radionuclides through high sensitivity PET/CT10
Use of imaging-based dosimetry for personalising radiopharmaceutical therapy of cancer10
Impact of deep learning image reconstruction on volumetric accuracy and image quality of pulmonary nodules with different morphologies in low-dose CT10
Enhancing 18F-FDG PET image quality and lesion diagnostic performance across different body mass index using the deep progressive learning reconstruction algorithm10
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
Evaluation of CE-MATRIX-Enhanced FLAIR imaging in the detection of leptomeningeal metastasis9
Radiomics signature for dynamic changes of tumor-infiltrating CD8+ T cells and macrophages in cervical cancer during chemoradiotherapy9
Prediction of axillary lymph node metastasis using a magnetic resonance imaging radiomics model of invasive breast cancer primary tumor9
Precision medicine in prostate cancer: individualized treatment through radiomics, genomics, and biomarkers9
Growth dynamics of lung nodules: implications for classification in lung cancer screening9
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 autom9
[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
Identifying factors that may influence the classification performance of radiomics models using contrast-enhanced mammography (CEM) images9
Diagnostic performance of PET/CT in the detection of liver metastases in well-differentiated NETs9
Proceedings of the 22nd International Cancer Imaging Society Meeting and Annual Teaching Course9
Nomogram based on dual-energy computed tomography to predict the response to induction chemotherapy in patients with nasopharyngeal carcinoma: a two-center study9
LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning9
Metabolic response prediction using 68Ga-FAPI PET/CT in Non-Hodgkin lymphoma treated with chemotherapy: a pilot study9
Preliminary outcomes of DEB-TACE loaded with raltitrexed in the treatment of unresectable or recurrent hepatocellular carcinoma9
Radiology reporting in oncology—oncologists’ perspective8
Clinical and DCE-CT signs in predicting microvascular invasion in cHCC-ICC8
Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model8
Diffusion–based virtual MR elastography for predicting recurrence of solitary hepatocellular carcinoma after hepatectomy8
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/CT8
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
Utility of the deep learning technique for the diagnosis of orbital invasion on CT in patients with a nasal or sinonasal tumor8
CT-based machine learning model integrating intra- and peri-tumoral radiomics features for predicting occult lymph node metastasis in peripheral lung cancer8
A hierarchical fusion strategy of deep learning networks for detection and segmentation of hepatocellular carcinoma from computed tomography images8
The use of advanced imaging in guiding the further investigation and treatment of primary prostate cancer8
Automation of Wilms’ tumor segmentation by artificial intelligence8
T1rho imaging of head and neck cancer: its association with pathological and immunohistochemical biomarkers in nasopharyngeal carcinoma8
Clinical scoring systems, molecular subtypes and baseline [18F]FDG PET/CT image analysis for prognosis of diffuse large B-cell lymphoma8
Fusion model integrating multi-sequence MRI radiomics and habitat imaging for predicting pathological complete response in breast cancer treated with neoadjuvant therapy8
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 complica8
Acinar cell carcinoma of the pancreas: can CT and MR features predict survival?8
DCE-MRI is more sensitive than IVIM-DWI for assessing anti-angiogenic treatment-induced changes in colorectal liver metastases8
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