Cancer Imaging

Papers
(The median citation count of Cancer Imaging is 2. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Prediction of lateral lymph node metastasis with short diameter less than 8 mm in papillary thyroid carcinoma based on radiomics46
An MRI-based radiomics nomogram for differentiating spinal metastases from multiple myeloma46
Intravoxel incoherent motion imaging combined with diffusion kurtosis imaging to assess the response to radiotherapy in a rabbit VX2 malignant bone tumor model43
Predicting first-line VEGFR-TKI resistance and survival in metastatic clear cell renal cell carcinoma using a clinical-radiomic nomogram34
A whole-body diffusion MRI normal atlas: development, evaluation and initial use30
Optimisation of low and ultra-low dose scanning protocols for ultra-extended field of view PET in a real-world clinical setting27
Predicting malignant risk of ground-glass nodules using convolutional neural networks based on dual-time-point 18F-FDG PET/CT26
A deep learning model to enhance the classification of primary bone tumors based on incomplete multimodal images in X-ray, CT, and MRI24
Comparison of the diagnostic accuracy of enhanced-CT and double contrast-enhanced ultrasound for preoperative T-staging of gastric cancer: a meta-analysis23
Clinical application of machine learning models in patients with prostate cancer before prostatectomy22
Targeted sequencing of DNA/RNA combined with radiomics predicts lymph node metastasis of papillary thyroid carcinoma21
Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients20
Glymphatic system dysfunction and cerebrospinal fluid retention in gliomas: evidence from perivascular space diffusion and volumetric analysis19
Semiautomated pelvic lymph node treatment response evaluation for patients with advanced prostate cancer: based on MET-RADS-P guidelines19
Evaluation of 3D ARFI imaging of prostate cancer: diagnostic reliability and concordance with MpMRI19
Whole-tumoral metabolic heterogeneity in 18F-FDG PET/CT is a novel prognostic marker for neuroblastoma19
Baseline MRI-based radiomics model assisted predicting disease progression in nasopharyngeal carcinoma patients with complete response after treatment18
Diagnostic performance and prognostic value of preoperative 18F-FDG PET/CT in renal cell carcinoma patients with venous tumor thrombus18
The diagnostic value of contrast-enhanced ultrasonography in breast ductal abnormalities17
HCC portal hypertension imaging score derived from CT predicts re-bleeding and mortality after acute variceal bleeding17
Value of high frame rate contrast enhanced ultrasound in gallbladder wall thickening in non-acute setting17
The prognostic significance of semi-quantitative metabolic parameters and tumoral metabolic activity based on 123I-MIBG SPECT/CT in pretreatment neuroblastoma patients17
Predicting prognosis of nasopharyngeal carcinoma based on deep learning: peritumoral region should be valued17
3D airway geometry analysis of factors in airway navigation failure for lung nodules17
Radiomics predicts the prognosis of patients with clear cell renal cell carcinoma by reflecting the tumor heterogeneity and microenvironment17
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 trial16
A transformer-based multi-task deep learning model for simultaneous infiltrated brain area identification and segmentation of gliomas16
Clinicopathological and computed tomography features of patients with early-stage non-small-cell lung cancer harboring ALK rearrangement15
Preoperative splenic area as a prognostic biomarker of early-stage non-small cell lung cancer15
Change in diffusion weighted imaging after induction chemotherapy outperforms RECIST guideline for long-term outcome prediction in advanced nasopharyngeal carcinoma14
Qualitative and quantitative analysis of solid renal tumors by high-frame-rate contrast-enhanced ultrasound14
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 carcinoma13
Endometrial carcinoma: use of tracer kinetic modeling of dynamic contrast-enhanced MRI for preoperative risk assessment13
Application of SPECT and PET / CT with computer-aided diagnosis in bone metastasis of prostate cancer: a review13
Deep learning-based fully automated detection and segmentation of pelvic lymph nodes on diffusion-weighted images for prostate cancer: a multicenter study13
Clinical value of SUVpeak-to-tumor centroid distance on FDG PET/CT for predicting neoadjuvant chemotherapy response in patients with breast cancer13
“Real-world” radiomics from multi-vendor MRI: an original retrospective study on the prediction of nodal status and disease survival in breast cancer, as an exemplar to promote discussion of the wider13
Application of preoperative advanced diffusion magnetic resonance imaging in evaluating the postoperative recurrence of lower grade gliomas13
Molecular imaging phenotyping for selecting and monitoring radioligand therapy of neuroendocrine neoplasms13
Patterns of pseudoprogression across different cancer entities treated with immune checkpoint inhibitors12
Intratumoral and peritumoral MRI-based radiomics prediction of histopathological grade in soft tissue sarcomas: a two-center study12
Reliability of dynamic susceptibility contrast perfusion metrics in pre- and post-treatment glioma12
Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI12
Proceedings of the International Cancer Imaging Society Meeting and 21st Annual Teaching Course11
Arterial spin labeling and diffusion-weighted imaging for identification of retropharyngeal lymph nodes in patients with nasopharyngeal carcinoma11
Development and validation of ultrasound-based radiomics model to predict germline BRCA mutations in patients with breast cancer11
Tumor size measurements of pancreatic cancer with neoadjuvant therapy based on RECIST guidelines: is MRI as effective as CT?11
The role of dynamic, static, and delayed total-body PET imaging in the detection and differential diagnosis of oncological lesions11
Magnetic resonance imaging-based radiomics signature for preoperative prediction of Ki67 expression in bladder cancer11
Thoracic high resolution computed tomography evaluation of imaging abnormalities of 108 lung cancer patients with different pulmonary function11
Diagnostic performance of prospective same-day 18F-FDG PET/MRI and 18F-FDG PET/CT in the staging and response assessment of lymphoma11
Predicting lymph node metastasis in papillary thyroid carcinoma: radiomics using two types of ultrasound elastography11
A call for objectivity: Radiologists’ proposed wishlist for response evaluation in solid tumors (RECIST 1.1)11
Tumor classification of gastrointestinal liver metastases using CT-based radiomics and deep learning11
Contrast enhanced ultrasound of liver lesions in patients treated for childhood malignancies11
Nomogram based on spectral CT quantitative parameters and typical radiological features for distinguishing benign from malignant thyroid micro-nodules11
Development and evaluation of a deep learning framework for pelvic and sacral tumor segmentation from multi-sequence MRI: a retrospective study11
Detection of solid and subsolid pulmonary nodules with lung MRI: performance of UTE, T1 gradient-echo, and single-shot T2 fast spin echo11
Thyroid imaging reporting and data system with MRI morphological features for thyroid nodules: diagnostic performance and unnecessary biopsy rate11
Clustering subtypes of breast cancer by combining immunohistochemistry profiles and metabolism characteristics measured using FDG PET/CT10
Personalized prediction of immunotherapy response in lung cancer patients using advanced radiomics and deep learning10
A clinical-radiomics nomogram based on dual-layer spectral detector CT to predict cancer stage in pancreatic ductal adenocarcinoma10
Does clinical T1N0 GGN really require checking for distant metastasis during initial staging for lung cancer?10
CT radiomics based on different machine learning models for classifying gross tumor volume and normal liver tissue in hepatocellular carcinoma10
Implementing CT tumor volume and CT pleural thickness into future staging systems for malignant pleural mesothelioma10
Using tumor habitat-derived radiomic analysis during pretreatment 18F-FDG PET for predicting KRAS/NRAS/BRAF mutations in colorectal cancer10
CT and MRI findings of cystic renal cell carcinoma: comparison with cystic collecting duct carcinoma10
Inter-observer variation in two-dimensional and three-dimensional ultrasound measurement of papillary thyroid microcarcinoma10
Prognostic value of CT-based radiomics in grade 1–2 pancreatic neuroendocrine tumors9
Predictive value of background parenchymal enhancement on breast magnetic resonance imaging for pathological tumor response to neoadjuvant chemotherapy in breast cancers: a systematic review9
Multiparametric detection and outcome prediction of pancreatic cancer involving dual-energy CT, diffusion-weighted MRI, and radiomics9
Imaging genomics of cancer: a bibliometric analysis and review9
Automatic rigid image Fusion of preoperative MR and intraoperative US acquired after craniotomy9
Determining the elastography strain ratio cut off value for differentiating benign from malignant breast lesions: systematic review and meta-analysis9
The value of 18F-FDG PET/CT and 18F-DOPA PET/CT in determining the initial surgical strategy of patients with medullary thyroid cancer9
Deep learning radiomics-based prediction model of metachronous distant metastasis following curative resection for retroperitoneal leiomyosarcoma: a bicentric study9
PET/MR fusion texture analysis for the clinical outcome prediction in soft-tissue sarcoma9
Value of diffusion kurtosis MR imaging and conventional diffusion weighed imaging for evaluating response to first-line chemotherapy in unresectable pancreatic cancer9
Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique9
Long-axial field-of-view PET/CT: perspectives and review of a revolutionary development in nuclear medicine based on clinical experience in over 7000 patients9
Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features9
Identification of D842V mutation in gastrointestinal stromal tumors based on CT radiomics: a multi-center study9
The prognostic role of early tumor shrinkage in patients with hepatocellular carcinoma undergoing immunotherapy9
Prognostic value of cervical nodal necrosis on staging imaging of nasopharyngeal carcinoma in era of intensity-modulated radiotherapy: a systematic review and meta-analysis9
[68Ga]Ga‑PSMA‑617 PET-based radiomics model to identify candidates for active surveillance amongst patients with GGG 1–2 prostate cancer at biopsy9
Magnetic resonance imaging of pure ovarian dysgerminoma: a series of eight cases8
Same-day comparative protocol PET/CT-PET/MRI [68 Ga]Ga-DOTA-TOC in paragangliomas and pheochromocytomas: an approach to personalized medicine8
Extending the clinical capabilities of short- and long-lived positron-emitting radionuclides through high sensitivity PET/CT8
Growth dynamics of lung nodules: implications for classification in lung cancer screening8
Impact of deep learning image reconstruction on volumetric accuracy and image quality of pulmonary nodules with different morphologies in low-dose CT8
Early post-treatment 18F-FDG PET/CT for predicting radiation-induced hypothyroidism in head and neck cancer8
Multi-parameter MRI radiomics model in predicting postoperative progressive cerebral edema and hemorrhage after resection of meningioma8
Use of imaging-based dosimetry for personalising radiopharmaceutical therapy of cancer8
Percutaneous core-needle biopsy before and immediately after coaxial microwave ablation in solid non-small cell lung cancer: the comparison of genomic testing from specimens8
Development of a dual energy CT based model to assess response to treatment in patients with high grade serous ovarian cancer: a pilot cohort study8
Tumor stiffness measured by 3D magnetic resonance elastography can help predict the aggressiveness of endometrial carcinoma: preliminary findings8
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 therapy7
Identifying factors that may influence the classification performance of radiomics models using contrast-enhanced mammography (CEM) images7
Diagnostic performance of PET/CT in the detection of liver metastases in well-differentiated NETs7
The comparative study of color doppler flow imaging, superb microvascular imaging, contrast-enhanced ultrasound micro flow imaging in blood flow analysis of solid renal mass7
Nomogram based on dual-energy computed tomography to predict the response to induction chemotherapy in patients with nasopharyngeal carcinoma: a two-center study7
Prediction of axillary lymph node metastasis using a magnetic resonance imaging radiomics model of invasive breast cancer primary tumor7
Automation of Wilms’ tumor segmentation by artificial intelligence7
A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer7
Utility of the deep learning technique for the diagnosis of orbital invasion on CT in patients with a nasal or sinonasal tumor7
Radiomics signature for dynamic changes of tumor-infiltrating CD8+ T cells and macrophages in cervical cancer during chemoradiotherapy7
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 autom7
LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning7
Proceedings of the 22nd International Cancer Imaging Society Meeting and Annual Teaching Course7
Emergency room imaging in pediatric patients with cancer: analysis of the spectrum and frequency of imaging modalities and findings in a tertiary cancer center and their relationship with survival6
Clinical and DCE-CT signs in predicting microvascular invasion in cHCC-ICC6
[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 study6
Evaluation of CE-MATRIX-Enhanced FLAIR imaging in the detection of leptomeningeal metastasis6
Diffusion–based virtual MR elastography for predicting recurrence of solitary hepatocellular carcinoma after hepatectomy6
Preoperative multiclass classification of thymic mass lesions based on radiomics and machine learning6
Prevalence and characteristics of benign cartilaginous tumours of the knee joint as identified on MRI scans6
The use of advanced imaging in guiding the further investigation and treatment of primary prostate cancer6
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 complica6
Preliminary outcomes of DEB-TACE loaded with raltitrexed in the treatment of unresectable or recurrent hepatocellular carcinoma6
DCE-MRI is more sensitive than IVIM-DWI for assessing anti-angiogenic treatment-induced changes in colorectal liver metastases6
Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model6
A nomogram based on biparametric magnetic resonance imaging for detection of clinically significant prostate cancer in biopsy-naïve patients6
Computed tomography-based radiomics nomogram for prediction of lympho-vascular and perineural invasion in esophageal squamous cell cancer patients: a retrospective cohort study6
Comparison of quantitative whole body PET parameters on [68Ga]Ga-PSMA-11 PET/CT using ordered Subset Expectation Maximization (OSEM) vs. bayesian penalized likelihood (BPL) reconstruction algorithms i6
Case-control study of the characteristics and risk factors of hot clot artefacts on 18F-FDG PET/CT6
Clinical scoring systems, molecular subtypes and baseline [18F]FDG PET/CT image analysis for prognosis of diffuse large B-cell lymphoma6
A hierarchical fusion strategy of deep learning networks for detection and segmentation of hepatocellular carcinoma from computed tomography images6
Radiology reporting in oncology—oncologists’ perspective6
Applying arterial enhancement fraction (AEF) texture features to predict the tumor response in hepatocellular carcinoma (HCC) treated with Transarterial chemoembolization (TACE)6
Proceedings of the International Cancer Imaging Society Meeting and 20th Annual Teaching Course6
Development and validation of machine learning models for predicting no. 253 lymph node metastasis in left-sided colorectal cancer using clinical and CT-based radiomic features6
Acinar cell carcinoma of the pancreas: can CT and MR features predict survival?6
Integrating MRI-based radiomics and clinicopathological features for preoperative prognostication of early-stage cervical adenocarcinoma patients: in comparison to deep learning approach6
Radiomics nomogram based on CT radiomics features and clinical factors for prediction of Ki-67 expression and prognosis in clear cell renal cell carcinoma: a two-center study5
Assessing synchronous ovarian metastasis in gastric cancer patients using a clinical-radiomics nomogram based on baseline abdominal contrast-enhanced CT: a two-center study5
Early tumor shrinkage and response assessment according to mRECIST predict overall survival in hepatocellular carcinoma patients under sorafenib5
A 18F-FDG PET/CT-based deep learning-radiomics-clinical model for prediction of cervical lymph node metastasis in esophageal squamous cell carcinoma5
Role of barium enema examination for the diagnosis of submucosal invasion depth in T1 colorectal cancers5
Whole-liver enhanced CT radiomics analysis to predict metachronous liver metastases after rectal cancer surgery5
Assessment of intrahepatic cholangiocarcinoma with LI-RADS in the high-risk population: MRI diagnosis and postoperative survival5
Amide proton transfer-weighted imaging and stretch-exponential model DWI based 18F-FDG PET/MRI for differentiation of benign and malignant solitary pulmonary lesions5
Comparative analysis of metabolic characteristics and prognostic stratification of HER2-low and HER2-zero breast cancer using 18F-FDG PET/CT imaging5
Preoperative diagnosis of meningioma sinus invasion based on MRI radiomics and deep learning: a multicenter study5
Morphological MRI features as prognostic indicators in brain metastases5
Preoperative prediction of early recurrence in resectable pancreatic cancer integrating clinical, radiologic, and CT radiomics features5
Imaging diagnosis and treatment selection for brain tumors in the era of molecular therapeutics5
Baseline and interim [18F]FDG-PET/MRI to assess treatment response and survival in patients with M0 esophageal squamous cell carcinoma treated by curative-intent therapy5
Evaluation of integrin αvβ3-targeted imaging for predicting disease progression in patients with high-risk differentiated thyroid cancer (using 99mTc-3PRGD2)5
Outcome of patients with biochemical recurrence of prostate cancer after PSMA PET/CT-directed radiotherapy or surgery without systemic therapy5
Exploring innovative strides in radiolabeled nanoparticle progress for multimodality cancer imaging and theranostic applications5
Proceedings of ICIS SGCR-WIRES 2024, held jointly with the 23rd International Cancer Imaging Society Annual Conference, collaborating with the Singapore Radiological Society and College of Radiologist5
Correction: Contrast enhanced ultrasound of liver lesions in patients treated for childhood malignancies5
Reproducibility and usefulness of quantitative apparent diffusion coefficient measurements for predicting program death-ligand 1 expression in nasopharyngeal carcinoma5
CT-based deep learning radiomics nomogram for the prediction of pathological grade in bladder cancer: a multicenter study5
CEUS LI-RADS for diagnosis of hepatocellular carcinoma in individuals without LI-RADS-defined hepatocellular carcinoma risk factors5
Development of modified multi-parametric CT algorithms for diagnosing clear-cell renal cell carcinoma in small solid renal masses5
Imaging in metastatic breast cancer, CT, PET/CT, MRI, WB-DWI, CCA: review and new perspectives5
Early treatment response assessment with [177Lu]PSMA whole-body-scintigraphy compared to interim PSMA-PET4
Full automation of total metabolic tumor volume from FDG-PET/CT in DLBCL for baseline risk assessments4
Can preoperative liver MRI with gadoxetic acid help reduce open-close laparotomies for curative intent pancreatic cancer surgery?4
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 automatically del4
Effect of preoperative PI-RADS assessment on pathological outcomes in patients who underwent radical prostatectomy4
MRI-based radiomics value for predicting the survival of patients with locally advanced cervical squamous cell cancer treated with concurrent chemoradiotherapy4
Pretreatment 18F‐FDG uptake heterogeneity may predict treatment outcome of combined Trastuzumab and Pertuzumab therapy in patients with metastatic HER2 positive breast cancer4
Radiomics signature based on robust features derived from diffusion data for differentiation between benign and malignant solitary pulmonary lesions4
Advances of radiolabeled GRPR ligands for PET/CT imaging of cancers4
Prostate MRI using a rigid two-channel phased-array endorectal coil: comparison with phased array coil acquisition at 3 T4
Diagnostic performance of simplified TI-RADS for malignant thyroid nodules: comparison with 2017 ACR-TI-RADS and 2020 C-TI-RADS4
What is the impact of dynamic contrast-enhancement sequence in the Vesical Imaging, Reporting and Data System (VI-RADS)? A subgroup analysis4
CT for estimating adequacy of lymph node dissection in patients with squamous cell carcinoma of the head and neck4
Preclinical evaluation and preliminary clinical study of 68Ga-NODAGA-NM-01 for PET imaging of PD-L1 expression4
Ultrasound-guided intra-tumoral administration of directly-injected therapies: a review of the technical and logistical considerations4
Imaging features associated with H3 K27-altered and H3 G34-mutant gliomas: a narrative systematic review4
Prognostic significance of a negative PSMA PET/CT in biochemical recurrence of prostate cancer4
Applying ONCO-RADS to whole-body MRI cancer screening in a retrospective cohort of asymptomatic individuals4
Enhancing local recurrence detection in patients with high-grade soft tissue sarcoma: value of short-term Ultrasonography added to post-operative MRI surveillance4
Predictive value of extracellular volume fraction determined using enhanced computed tomography for pathological grading of clear cell renal cell carcinoma: a preliminary study4
Outstanding increase in tumor-to-background ratio over time allows tumor localization by [89Zr]Zr-PSMA-617 PET/CT in early biochemical recurrence of prostate cancer4
Retraction Note to: Diffusion-weighted MR imaging of locally advanced breast carcinoma: the optimal time window of predicting the early response to neoadjuvant chemotherapy4
Novel applications of molecular imaging to guide breast cancer therapy4
Review on radiomic analysis in 18F-fluorodeoxyglucose positron emission tomography for prediction of melanoma outcomes4
Quantum iterative reconstruction on a photon-counting detector CT improves the quality of hepatocellular carcinoma imaging4
PET/CT reading for relapse in non-small cell lung cancer after chemoradiotherapy in the PET-Plan trial cohort4
MR-based radiomics predictive modelling of EGFR mutation and HER2 overexpression in metastatic brain adenocarcinoma: a two-centre study3
Assessment of perineural spread in advanced cutaneous squamous cell carcinomas treated with immunotherapy3
DCE-MRI quantitative analysis and MRI-based radiomics for predicting the early efficacy of microwave ablation in lung cancers3
Variability of radiotherapy volume delineation: PSMA PET/MRI and MRI based clinical target volume and lymph node target volume for high-risk prostate cancer3
Ultra-high b-Value DWI in predicting progression risk of locally advanced rectal cancer: a comparative study with routine DWI3
Prediction of p53 mutation status in rectal cancer patients based on magnetic resonance imaging-based nomogram: a study of machine learning3
Multiparametric liver MRI for predicting early recurrence of hepatocellular carcinoma after microwave ablation3
Additional findings in prostate MRI3
Correction: Optimization and validation of echo times of point-resolved spectroscopy for cystathionine detection in gliomas3
Procedure-related pain during CT-guided percutaneous transthoracic needle biopsies of lung lesions: a prospective study3
High resolution MRI-based radiomic nomogram in predicting perineural invasion in rectal cancer3
Amide Proton Transfer-weighted MRI combined with serum prostate-specific antigen levels for differentiating malignant prostate lesions from benign prostate lesions: a retrospective cohort study3
Diagnostic efficiency of intravoxel incoherent motion-based virtual magnetic resonance elastography in pulmonary neoplasms3
Analysis of preoperative computed tomography radiomics and clinical factors for predicting postsurgical recurrence of papillary thyroid carcinoma3
Role of [18F]FDG PET/CT in the management of follicular cell-derived thyroid carcinoma3
Correction: Patient eligibility for trials with imaging response assessment at the time of molecular tumor board presentation3
Challenging the significance of SUV-based parameters in a large-scale retrospective study on lung lesions3
Hybrid imaging with [68Ga]PSMA-11 PET-CT and PET-MRI in biochemically recurrent prostate cancer3
Comparative analysis of deep learning and radiomic signatures for overall survival prediction in recurrent high-grade glioma treated with immunotherapy3
Preoperative assessment of tertiary lymphoid structures in stage I lung adenocarcinoma using CT radiomics: a multicenter retrospective cohort study3
Immune-related [18F]FDG PET findings in patients undergoing checkpoint inhibitors treatment: correlation with clinical adverse events and prognostic implications3
Is a single portal venous phase in contrast-enhanced CT sufficient to detect metastases or recurrence in clear cell renal cell carcinoma? – a single-center retrospective study3
Validation of the ALBI-TAE model and comparison of seven scoring systems for predicting survival outcome in patients with intermediate‐stage hepatocellular carcinoma undergoing chemoembolization3
Cabazitaxel-induced ureteritis in metastatic castration-resistant prostate cancer patients: a single center case series 2014–20243
Semi-quantitative FDG parameters predict survival in multiple myeloma patients without autologous stem cell transplantation2
Multiparametric bone MRI targeting aides lesion selection for CT-guided sclerotic bone biopsies in metastatic castrate resistant prostate cancer2
Enhancing diagnostic precision in EBV-related HLH: a multifaceted approach using 18F-FDG PET/CT and nomogram integration2
Beyond invasive biopsies: using VASARI MRI features to predict grade and molecular parameters in gliomas2
Assessing the intracranial metabolic score as a novel prognostic tool in primary CNS lymphoma with end of induction-chemotherapy 18F-FDG PET/CT and PET/MR2
An interactive 3D atlas of sentinel lymph nodes in breast cancer developed using SPECT/CT2
Sononeoperfusion: a new therapeutic effect to enhance tumour blood perfusion using diagnostic ultrasound and microbubbles2
Identification of T2W hypointense ring as a novel noninvasive indicator for glioma grade and IDH genotype2
Clinical significance of visual cardiac 18F-FDG uptake in advanced non-small cell lung cancer2
Influence of molecular imaging on patient selection for treatment intensification prior to salvage radiation therapy for prostate cancer: a post hoc analysis of the PROPS trial2
The combined value of mpUS and mpMRI-TRUS fusion for the diagnosis of clinically significant prostate cancer2
Comparison of synthesized and acquired high b-value diffusion-weighted MRI for detection of prostate cancer2
Two decades of FDG-PET/CT in seminoma: exploring its role in diagnosis, surveillance and follow-up2
An MRI-based radiomics nomogram for detecting cervical esophagus invasion in hypopharyngeal squamous cell carcinoma2
Multidetector CT findings of primary pleural angiosarcoma : a systematic review, an additional cases report2
The prognostic value of 18F-FDG PET/CT intra-tumoural metabolic heterogeneity in pretreatment neuroblastoma patients2
18F−Prostate−Specific Membrane Antigen PET/CT imaging for potentially resectable pancreatic cancer (PANSCAN−2): a phase I/II study2
Heparin reversal with protamine sulfate after Percutaneous Hepatic Perfusion (PHP): is less more?2
Survival outcome prediction of esophageal squamous cell carcinoma patients based on radiomics and mutation signature2
An interpretable machine learning model based on computed tomography radiomics for predicting programmed death ligand 1 expression status in gastric cancer2
Prognostic and predictive value of interstitial lung abnormalities and EGFR mutation status in patients with non-small cell lung cancer2
Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma2
Prediction of lymphovascular invasion in esophageal squamous cell carcinoma by computed tomography-based radiomics analysis: 2D or 3D ?2
Clinical outcomes of percutaneous microwave ablation for pulmonary oligometastases from hepatocellular carcinoma: a retrospective, multicenter study2
A logistic regression model to predict long-term survival for borderline resectable pancreatic cancer patients with upfront surgery2
Using preoperative ultrasound vascularity characteristics to estimate medullary thyroid cancer2
Meta-analysis of 18 F-PSMA-1007 PET/CT, 18 F-FDG PET/CT, and 68Ga-PSMA PET/CT in diagnostic efficacy of prostate Cancer2
Prediction of hepatic lymph node metastases based on magnetic resonance imaging before and after preoperative chemotherapy in patients with colorectal liver metastases underwent surgical resection2
Breast cancer detection accuracy of AI in an entire screening population: a retrospective, multicentre study2
Multimodal deep learning radiomics model for predicting postoperative progression in solid stage I non-small cell lung cancer2
Preoperative contrast-enhanced CT imaging and clinicopathological characteristics analysis of mismatch repair-deficient colorectal cancer2
Pancreas CT assessment for pancreatic ductal adenocarcinoma resectability: effect of tube voltage and slice thickness on image quality and diagnostic performance2
CTR > 0.7 predicts the subgroup of lung adenocarcinomas ≤ 2 cm at risk of poor outcome treated by sublobar resection compared to lobar resection2
Extracting value from total-body PET/CT image data - the emerging role of artificial intelligence2
Correlation between remnant thyroid gland I-131 uptake and serum thyroglobulin levels: can we rely on I-131 whole body scans?2
MRI features and tumor-infiltrating CD8 + T cells-based nomogram for predicting meningioma recurrence risk2
So, you want to get into “total-body” PET/CT scanning? An installation guide for beginners!2
Evaluating residual tumor after neoadjuvant chemotherapy for muscle-invasive urothelial bladder cancer: diagnostic performance and outcomes using biparametric vs. multiparametric MRI2
Head-to-head comparison of [68Ga]Ga-DOTA-FAPI-04 and [18F]FDG PET/CT for the evaluation of tonsil cancer and lymph node metastases: a single-centre retrospective study2
Sarcomatoid renal cell carcinoma: MRI features and their association with survival2
Automatic segmentation of head and neck primary tumors on MRI using a multi-view CNN2
Bubble-like lucency in pulmonary ground glass nodules on computed tomography: a specific pattern of air-containing space for diagnosing neoplastic lesions2
Correction: The utility of 18F-FDG PET/CT for predicting the pathological response and prognosis to neoadjuvant immunochemotherapy in resectable non-small-cell lung cancer2
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