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 2022-01-01 to 2026-01-01.)
ArticleCitations
Clinical application of machine learning models in patients with prostate cancer before prostatectomy66
A whole-body diffusion MRI normal atlas: development, evaluation and initial use51
An MRI-based radiomics nomogram for differentiating spinal metastases from multiple myeloma47
Predicting first-line VEGFR-TKI resistance and survival in metastatic clear cell renal cell carcinoma using a clinical-radiomic nomogram46
Whole-tumoral metabolic heterogeneity in 18F-FDG PET/CT is a novel prognostic marker for neuroblastoma42
Intravoxel incoherent motion imaging combined with diffusion kurtosis imaging to assess the response to radiotherapy in a rabbit VX2 malignant bone tumor model33
Comparison of the diagnostic accuracy of enhanced-CT and double contrast-enhanced ultrasound for preoperative T-staging of gastric cancer: a meta-analysis29
Optimisation of low and ultra-low dose scanning protocols for ultra-extended field of view PET in a real-world clinical setting28
Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients28
Prediction of lateral lymph node metastasis with short diameter less than 8 mm in papillary thyroid carcinoma based on radiomics27
Ultrasound-guided percutaneous core biopsy of renal sinus masses: diagnostic yield, safety, and clinical impact27
Predicting malignant risk of ground-glass nodules using convolutional neural networks based on dual-time-point 18F-FDG PET/CT27
Survival impact of a KEAP1-NFE2L2 radiomics model in PDL1 ≥ 50% non-small cell lung cancer treated with pembrolizumab: the PEMBROMIC study26
A deep learning model to enhance the classification of primary bone tumors based on incomplete multimodal images in X-ray, CT, and MRI25
Targeted sequencing of DNA/RNA combined with radiomics predicts lymph node metastasis of papillary thyroid carcinoma25
The prognostic significance of semi-quantitative metabolic parameters and tumoral metabolic activity based on 123I-MIBG SPECT/CT in pretreatment neuroblastoma patients25
Semiautomated pelvic lymph node treatment response evaluation for patients with advanced prostate cancer: based on MET-RADS-P guidelines24
Contrast-enhanced ultrasound for diagnosing subtypes of intrahepatic cholangiocarcinoma: a comparative study with poorly differentiated hepatocellular carcinoma23
Baseline MRI-based radiomics model assisted predicting disease progression in nasopharyngeal carcinoma patients with complete response after treatment22
Imaging appearances, CT evolution patterns, and surgical prognosis of stage I lung squamous cell carcinoma22
Parameter-driven habitat imaging based on intravoxel incoherent motion MRI for preoperative prediction of muscle invasion in bladder cancer22
Diagnostic performance and prognostic value of preoperative 18F-FDG PET/CT in renal cell carcinoma patients with venous tumor thrombus21
Glymphatic system dysfunction and cerebrospinal fluid retention in gliomas: evidence from perivascular space diffusion and volumetric analysis21
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
Clinicopathological and computed tomography features of patients with early-stage non-small-cell lung cancer harboring ALK rearrangement20
HCC portal hypertension imaging score derived from CT predicts re-bleeding and mortality after acute variceal bleeding20
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
Predicting prognosis of nasopharyngeal carcinoma based on deep learning: peritumoral region should be valued20
Value of high frame rate contrast enhanced ultrasound in gallbladder wall thickening in non-acute setting19
Preoperative splenic area as a prognostic biomarker of early-stage non-small cell lung cancer19
3D airway geometry analysis of factors in airway navigation failure for lung nodules19
Change in diffusion weighted imaging after induction chemotherapy outperforms RECIST guideline for long-term outcome prediction in advanced nasopharyngeal carcinoma19
A transformer-based multi-task deep learning model for simultaneous infiltrated brain area identification and segmentation of gliomas18
Deep learning-based fully automated detection and segmentation of pelvic lymph nodes on diffusion-weighted images for prostate cancer: a multicenter study18
Application of preoperative advanced diffusion magnetic resonance imaging in evaluating the postoperative recurrence of lower grade gliomas18
Qualitative and quantitative analysis of solid renal tumors by high-frame-rate contrast-enhanced ultrasound18
The diagnostic value of contrast-enhanced ultrasonography in breast ductal abnormalities18
Proceedings of the 24th International Cancer Imaging Society Meeting and Annual Teaching Course18
Geographic variability in contemporary utilization of PET imaging for prostate cancer: a medicare claims cohort study18
Multi-class brain tumor MRI segmentation and classification using deep learning and machine learning approaches18
Differentiating pancreatic from periampullary non-pancreatic cancer: a nomogram-based prediction model utilizing CT imaging18
Clinical value of SUVpeak-to-tumor centroid distance on FDG PET/CT for predicting neoadjuvant chemotherapy response in patients with breast cancer17
Application of SPECT and PET / CT with computer-aided diagnosis in bone metastasis of prostate cancer: a review17
Reliability of dynamic susceptibility contrast perfusion metrics in pre- and post-treatment glioma17
Endometrial carcinoma: use of tracer kinetic modeling of dynamic contrast-enhanced MRI for preoperative risk assessment17
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
Spectral CT imaging for assessment of metastases in melanoma patients: multi-reader evaluation16
Patterns of pseudoprogression across different cancer entities treated with immune checkpoint inhibitors16
Proceedings of the International Cancer Imaging Society Meeting and 21st Annual Teaching Course16
Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI16
A call for objectivity: Radiologists’ proposed wishlist for response evaluation in solid tumors (RECIST 1.1)16
Molecular imaging phenotyping for selecting and monitoring radioligand therapy of neuroendocrine neoplasms16
Diagnostic performance of prospective same-day 18F-FDG PET/MRI and 18F-FDG PET/CT in the staging and response assessment of lymphoma16
Arterial spin labeling and diffusion-weighted imaging for identification of retropharyngeal lymph nodes in patients with nasopharyngeal carcinoma16
Thoracic high resolution computed tomography evaluation of imaging abnormalities of 108 lung cancer patients with different pulmonary function15
Thermal ablation for pulmonary oligometastases from hepatocellular carcinoma: initial experience and retrospective study15
Intratumoral and peritumoral MRI-based radiomics prediction of histopathological grade in soft tissue sarcomas: a two-center study15
PSMA expression assessed by [18F]PSMA-1007 PET/CT imaging in metastatic hormone-sensitive prostate cancer patients treated with apalutamide15
Tumor classification of gastrointestinal liver metastases using CT-based radiomics and deep learning15
Tumor size measurements of pancreatic cancer with neoadjuvant therapy based on RECIST guidelines: is MRI as effective as CT?15
Image analysis: 68Ga-FAPI-46 PET derived texture parameters improve the differentiation of malignant and benign pulmonary lesions15
Development and validation of ultrasound-based radiomics model to predict germline BRCA mutations in patients with breast cancer14
Nomogram based on spectral CT quantitative parameters and typical radiological features for distinguishing benign from malignant thyroid micro-nodules14
Contrast enhanced ultrasound of liver lesions in patients treated for childhood malignancies14
Development and validation of the multidimensional machine learning model for preoperative risk stratification in papillary thyroid carcinoma: a multicenter, retrospective cohort study14
Development and evaluation of a deep learning framework for pelvic and sacral tumor segmentation from multi-sequence MRI: a retrospective study14
The role of dynamic, static, and delayed total-body PET imaging in the detection and differential diagnosis of oncological lesions14
Thyroid imaging reporting and data system with MRI morphological features for thyroid nodules: diagnostic performance and unnecessary biopsy rate14
Predicting lymph node metastasis in papillary thyroid carcinoma: radiomics using two types of ultrasound elastography14
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
Detection of solid and subsolid pulmonary nodules with lung MRI: performance of UTE, T1 gradient-echo, and single-shot T2 fast spin echo13
Identification of D842V mutation in gastrointestinal stromal tumors based on CT radiomics: a multi-center study13
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
Predictive value of background parenchymal enhancement on breast magnetic resonance imaging for pathological tumor response to neoadjuvant chemotherapy in breast cancers: a systematic review13
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
Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features13
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
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
Longitudinal CE-MRI-based Siamese network with machine learning to predict tumor response in HCC after DEB-TACE12
PET/MR fusion texture analysis for the clinical outcome prediction in soft-tissue sarcoma12
Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique12
CT radiomics based on different machine learning models for classifying gross tumor volume and normal liver tissue in hepatocellular carcinoma12
The sonographic characteristics of unicentric castleman disease - a single-center retrospective study11
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
Application of diffusion kurtosis imaging in differentiating T0-T1 from T2 rectal tumors11
Prognostic value of cervical nodal necrosis on staging imaging of nasopharyngeal carcinoma in era of intensity-modulated radiotherapy: a systematic review and meta-analysis11
CT-based radiomics model to predict platinum sensitivity in epithelial ovarian carcinoma: a multicentre study11
Value of diffusion kurtosis MR imaging and conventional diffusion weighed imaging for evaluating response to first-line chemotherapy in unresectable pancreatic cancer11
Prognostic value of CT-based radiomics in grade 1–2 pancreatic neuroendocrine tumors11
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
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
Growth dynamics of lung nodules: implications for classification in lung cancer screening10
Impact of deep learning image reconstruction on volumetric accuracy and image quality of pulmonary nodules with different morphologies in low-dose CT10
Early post-treatment 18F-FDG PET/CT for predicting radiation-induced hypothyroidism in head and neck cancer10
Imaging genomics of cancer: a bibliometric analysis and review10
Multi-parameter MRI radiomics model in predicting postoperative progressive cerebral edema and hemorrhage after resection of meningioma10
Use of imaging-based dosimetry for personalising radiopharmaceutical therapy of cancer10
Multi-parametric MRI radiomics predicts different HER2 expression in breast cancer10
Same-day comparative protocol PET/CT-PET/MRI [68 Ga]Ga-DOTA-TOC in paragangliomas and pheochromocytomas: an approach to personalized medicine10
Efficacy and safety in synchronous core-needle biopsy and cryoablation for highly suspicious malignant pulmonary nodule10
Hierarchical diagnosis of breast phyllodes tumors enabled by deep learning of ultrasound images: a retrospective multi-center study10
Enhancing 18F-FDG PET image quality and lesion diagnostic performance across different body mass index using the deep progressive learning reconstruction algorithm10
[68Ga]Ga‑PSMA‑617 PET-based radiomics model to identify candidates for active surveillance amongst patients with GGG 1–2 prostate cancer at biopsy10
Determining the elastography strain ratio cut off value for differentiating benign from malignant breast lesions: systematic review and meta-analysis10
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
Proceedings of the 22nd International Cancer Imaging Society Meeting and Annual Teaching Course9
[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
Diagnostic performance of PET/CT in the detection of liver metastases in well-differentiated NETs9
Evaluation of CE-MATRIX-Enhanced FLAIR imaging in the detection of leptomeningeal metastasis9
LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning9
Preliminary outcomes of DEB-TACE loaded with raltitrexed in the treatment of unresectable or recurrent hepatocellular carcinoma9
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
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
Metabolic response prediction using 68Ga-FAPI PET/CT in Non-Hodgkin lymphoma treated with chemotherapy: a pilot study9
Utility of the deep learning technique for the diagnosis of orbital invasion on CT in patients with a nasal or sinonasal tumor9
Nomogram based on dual-energy computed tomography to predict the response to induction chemotherapy in patients with nasopharyngeal carcinoma: a two-center study9
Precision medicine in prostate cancer: individualized treatment through radiomics, genomics, and biomarkers9
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
Radiomics signature for dynamic changes of tumor-infiltrating CD8+ T cells and macrophages in cervical cancer during chemoradiotherapy9
T1rho imaging of head and neck cancer: its association with pathological and immunohistochemical biomarkers in nasopharyngeal 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
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 therapy9
Fusion model integrating multi-sequence MRI radiomics and habitat imaging for predicting pathological complete response in breast cancer treated with neoadjuvant therapy8
Acinar cell carcinoma of the pancreas: can CT and MR features predict survival?8
Integrating MRI-based radiomics and clinicopathological features for preoperative prognostication of early-stage cervical adenocarcinoma patients: in comparison to deep learning approach8
A hierarchical fusion strategy of deep learning networks for detection and segmentation of hepatocellular carcinoma from computed tomography images8
Clinical and DCE-CT signs in predicting microvascular invasion in cHCC-ICC8
The performance of DWI and ADC values with different b-values for the diagnosis and staging of endometrial carcinoma at 3T8
Clinical scoring systems, molecular subtypes and baseline [18F]FDG PET/CT image analysis for prognosis of diffuse large B-cell lymphoma8
Preoperative multiclass classification of thymic mass lesions based on radiomics and machine learning8
A nomogram based on biparametric magnetic resonance imaging for detection of clinically significant prostate cancer in biopsy-naïve patients8
CT-based machine learning model integrating intra- and peri-tumoral radiomics features for predicting occult lymph node metastasis in peripheral lung cancer8
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
Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model8
Using radiomics model for predicting extraprostatic extension with PSMA PET/CT studies: a comparative study with the Mehralivand grading system8
Prognostic value of early post-treatment 18F-FDG PET/CT in diffuse large B-cell lymphoma patients receiving chimeric antigen receptor T-cell therapy8
Identifying factors that may influence the classification performance of radiomics models using contrast-enhanced mammography (CEM) images8
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
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