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 2021-09-01 to 2025-09-01.)
ArticleCitations
Predicting first-line VEGFR-TKI resistance and survival in metastatic clear cell renal cell carcinoma using a clinical-radiomic nomogram55
Optimisation of low and ultra-low dose scanning protocols for ultra-extended field of view PET in a real-world clinical setting53
Predicting malignant risk of ground-glass nodules using convolutional neural networks based on dual-time-point 18F-FDG PET/CT35
Comparison of the diagnostic accuracy of enhanced-CT and double contrast-enhanced ultrasound for preoperative T-staging of gastric cancer: a meta-analysis31
Targeted sequencing of DNA/RNA combined with radiomics predicts lymph node metastasis of papillary thyroid carcinoma29
Whole-tumoral metabolic heterogeneity in 18F-FDG PET/CT is a novel prognostic marker for neuroblastoma28
Intravoxel incoherent motion imaging combined with diffusion kurtosis imaging to assess the response to radiotherapy in a rabbit VX2 malignant bone tumor model26
Prediction of lateral lymph node metastasis with short diameter less than 8 mm in papillary thyroid carcinoma based on radiomics25
A deep learning model to enhance the classification of primary bone tumors based on incomplete multimodal images in X-ray, CT, and MRI24
An MRI-based radiomics nomogram for differentiating spinal metastases from multiple myeloma24
A whole-body diffusion MRI normal atlas: development, evaluation and initial use22
Clinical application of machine learning models in patients with prostate cancer before prostatectomy22
Glymphatic system dysfunction and cerebrospinal fluid retention in gliomas: evidence from perivascular space diffusion and volumetric analysis21
Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients21
Radiomics predicts the prognosis of patients with clear cell renal cell carcinoma by reflecting the tumor heterogeneity and microenvironment21
Semiautomated pelvic lymph node treatment response evaluation for patients with advanced prostate cancer: based on MET-RADS-P guidelines21
Evaluation of 3D ARFI imaging of prostate cancer: diagnostic reliability and concordance with MpMRI21
Diagnostic performance and prognostic value of preoperative 18F-FDG PET/CT in renal cell carcinoma patients with venous tumor thrombus20
Baseline MRI-based radiomics model assisted predicting disease progression in nasopharyngeal carcinoma patients with complete response after treatment20
The prognostic significance of semi-quantitative metabolic parameters and tumoral metabolic activity based on 123I-MIBG SPECT/CT in pretreatment neuroblastoma patients20
Predicting prognosis of nasopharyngeal carcinoma based on deep learning: peritumoral region should be valued19
HCC portal hypertension imaging score derived from CT predicts re-bleeding and mortality after acute variceal bleeding19
Value of high frame rate contrast enhanced ultrasound in gallbladder wall thickening in non-acute setting19
Contrast-enhanced ultrasound for diagnosing subtypes of intrahepatic cholangiocarcinoma: a comparative study with poorly differentiated hepatocellular carcinoma19
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 trial19
Qualitative and quantitative analysis of solid renal tumors by high-frame-rate contrast-enhanced ultrasound18
Preoperative splenic area as a prognostic biomarker of early-stage non-small cell lung cancer18
3D airway geometry analysis of factors in airway navigation failure for lung nodules18
Clinicopathological and computed tomography features of patients with early-stage non-small-cell lung cancer harboring ALK rearrangement18
Change in diffusion weighted imaging after induction chemotherapy outperforms RECIST guideline for long-term outcome prediction in advanced nasopharyngeal carcinoma17
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 gliomas16
Reliability of dynamic susceptibility contrast perfusion metrics in pre- and post-treatment glioma16
Application of preoperative advanced diffusion magnetic resonance imaging in evaluating the postoperative recurrence of lower grade gliomas16
The diagnostic value of contrast-enhanced ultrasonography in breast ductal abnormalities16
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 carcinoma15
Deep learning-based fully automated detection and segmentation of pelvic lymph nodes on diffusion-weighted images for prostate cancer: a multicenter study15
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 evaluation14
Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI14
Thoracic high resolution computed tomography evaluation of imaging abnormalities of 108 lung cancer patients with different pulmonary function14
Clinical value of SUVpeak-to-tumor centroid distance on FDG PET/CT for predicting neoadjuvant chemotherapy response in patients with breast cancer14
Application of SPECT and PET / CT with computer-aided diagnosis in bone metastasis of prostate cancer: a review14
Contrast enhanced ultrasound of liver lesions in patients treated for childhood malignancies14
Molecular imaging phenotyping for selecting and monitoring radioligand therapy of neuroendocrine neoplasms14
Proceedings of the International Cancer Imaging Society Meeting and 21st Annual Teaching Course14
Patterns of pseudoprogression across different cancer entities treated with immune checkpoint inhibitors14
Development and evaluation of a deep learning framework for pelvic and sacral tumor segmentation from multi-sequence MRI: a retrospective study13
Intratumoral and peritumoral MRI-based radiomics prediction of histopathological grade in soft tissue sarcomas: a two-center study13
Diagnostic performance of prospective same-day 18F-FDG PET/MRI and 18F-FDG PET/CT in the staging and response assessment of lymphoma13
A call for objectivity: Radiologists’ proposed wishlist for response evaluation in solid tumors (RECIST 1.1)13
Detection of solid and subsolid pulmonary nodules with lung MRI: performance of UTE, T1 gradient-echo, and single-shot T2 fast spin echo13
Arterial spin labeling and diffusion-weighted imaging for identification of retropharyngeal lymph nodes in patients with nasopharyngeal carcinoma13
Predicting lymph node metastasis in papillary thyroid carcinoma: radiomics using two types of ultrasound elastography13
Tumor size measurements of pancreatic cancer with neoadjuvant therapy based on RECIST guidelines: is MRI as effective as CT?13
Development and validation of ultrasound-based radiomics model to predict germline BRCA mutations in patients with breast cancer13
Magnetic resonance imaging-based radiomics signature for preoperative prediction of Ki67 expression in bladder cancer13
Nomogram based on spectral CT quantitative parameters and typical radiological features for distinguishing benign from malignant thyroid micro-nodules13
Development and validation of the multidimensional machine learning model for preoperative risk stratification in papillary thyroid carcinoma: a multicenter, retrospective cohort study12
Tumor classification of gastrointestinal liver metastases using CT-based radiomics and deep learning12
Clustering subtypes of breast cancer by combining immunohistochemistry profiles and metabolism characteristics measured using FDG PET/CT12
Using tumor habitat-derived radiomic analysis during pretreatment 18F-FDG PET for predicting KRAS/NRAS/BRAF mutations in colorectal cancer12
Thermal ablation for pulmonary oligometastases from hepatocellular carcinoma: initial experience and retrospective study12
Thyroid imaging reporting and data system with MRI morphological features for thyroid nodules: diagnostic performance and unnecessary biopsy rate12
CT and MRI findings of cystic renal cell carcinoma: comparison with cystic collecting duct carcinoma12
A clinical-radiomics nomogram based on dual-layer spectral detector CT to predict cancer stage in pancreatic ductal adenocarcinoma12
Image analysis: 68Ga-FAPI-46 PET derived texture parameters improve the differentiation of malignant and benign pulmonary lesions12
The role of dynamic, static, and delayed total-body PET imaging in the detection and differential diagnosis of oncological lesions12
PSMA-PET-derived distance features as biomarkers for predicting outcomes in primary prostate cancer post-radical prostatectomy12
Does clinical T1N0 GGN really require checking for distant metastasis during initial staging for lung cancer?12
CT-based radiomics model to predict platinum sensitivity in epithelial ovarian carcinoma: a multicentre study11
Personalized prediction of immunotherapy response in lung cancer patients using advanced radiomics and deep learning11
Automatic rigid image Fusion of preoperative MR and intraoperative US acquired after craniotomy11
Prognostic value of cervical nodal necrosis on staging imaging of nasopharyngeal carcinoma in era of intensity-modulated radiotherapy: a systematic review and meta-analysis11
PET/MR fusion texture analysis for the clinical outcome prediction in soft-tissue sarcoma11
Inter-observer variation in two-dimensional and three-dimensional ultrasound measurement of papillary thyroid microcarcinoma11
Imaging genomics of cancer: a bibliometric analysis and review11
Deep learning radiomics-based prediction model of metachronous distant metastasis following curative resection for retroperitoneal leiomyosarcoma: a bicentric study11
Value of diffusion kurtosis MR imaging and conventional diffusion weighed imaging for evaluating response to first-line chemotherapy in unresectable pancreatic cancer11
Multiparametric detection and outcome prediction of pancreatic cancer involving dual-energy CT, diffusion-weighted MRI, and radiomics11
Identification of D842V mutation in gastrointestinal stromal tumors based on CT radiomics: a multi-center study11
Prognostic value of CT-based radiomics in grade 1–2 pancreatic neuroendocrine tumors11
Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique11
The prognostic role of early tumor shrinkage in patients with hepatocellular carcinoma undergoing immunotherapy11
Hierarchical diagnosis of breast phyllodes tumors enabled by deep learning of ultrasound images: a retrospective multi-center study11
CT radiomics based on different machine learning models for classifying gross tumor volume and normal liver tissue in hepatocellular carcinoma10
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
Impact of deep learning image reconstruction on volumetric accuracy and image quality of pulmonary nodules with different morphologies in low-dose CT10
Longitudinal CE-MRI-based Siamese network with machine learning to predict tumor response in HCC after DEB-TACE10
The value of 18F-FDG PET/CT and 18F-DOPA PET/CT in determining the initial surgical strategy of patients with medullary thyroid cancer10
Same-day comparative protocol PET/CT-PET/MRI [68 Ga]Ga-DOTA-TOC in paragangliomas and pheochromocytomas: an approach to personalized medicine10
Predictive value of background parenchymal enhancement on breast magnetic resonance imaging for pathological tumor response to neoadjuvant chemotherapy in breast cancers: a systematic review10
Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features10
Early post-treatment 18F-FDG PET/CT for predicting radiation-induced hypothyroidism in head and neck cancer10
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
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
Use of imaging-based dosimetry for personalising radiopharmaceutical therapy of cancer9
Growth dynamics of lung nodules: implications for classification in lung cancer screening9
Extending the clinical capabilities of short- and long-lived positron-emitting radionuclides through high sensitivity PET/CT9
Multi-parameter MRI radiomics model in predicting postoperative progressive cerebral edema and hemorrhage after resection of meningioma9
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
[68Ga]Ga‑PSMA‑617 PET-based radiomics model to identify candidates for active surveillance amongst patients with GGG 1–2 prostate cancer at biopsy9
A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer9
Enhancing 18F-FDG PET image quality and lesion diagnostic performance across different body mass index using the deep progressive learning reconstruction algorithm9
Magnetic resonance imaging of pure ovarian dysgerminoma: a series of eight cases9
Efficacy and safety in synchronous core-needle biopsy and cryoablation for highly suspicious malignant pulmonary nodule9
Proceedings of the International Cancer Imaging Society Meeting and 20th Annual Teaching Course8
Evaluation of CE-MATRIX-Enhanced FLAIR imaging in the detection of leptomeningeal metastasis8
Identifying factors that may influence the classification performance of radiomics models using contrast-enhanced mammography (CEM) images8
Radiology reporting in oncology—oncologists’ perspective8
Nomogram based on dual-energy computed tomography to predict the response to induction chemotherapy in patients with nasopharyngeal carcinoma: a two-center study8
Preliminary outcomes of DEB-TACE loaded with raltitrexed in the treatment of unresectable or recurrent hepatocellular carcinoma8
LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning8
Clinical scoring systems, molecular subtypes and baseline [18F]FDG PET/CT image analysis for prognosis of diffuse large B-cell lymphoma8
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
Proceedings of the 22nd International Cancer Imaging Society Meeting and Annual Teaching Course8
Determining the elastography strain ratio cut off value for differentiating benign from malignant breast lesions: systematic review and meta-analysis8
[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
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
Metabolic response prediction using 68Ga-FAPI PET/CT in Non-Hodgkin lymphoma treated with chemotherapy: a pilot study8
Automation of Wilms’ tumor segmentation by artificial intelligence8
DCE-MRI is more sensitive than IVIM-DWI for assessing anti-angiogenic treatment-induced changes in colorectal liver metastases8
Diagnostic performance of PET/CT in the detection of liver metastases in well-differentiated NETs8
Radiomics signature for dynamic changes of tumor-infiltrating CD8+ T cells and macrophages in cervical cancer during chemoradiotherapy8
Prediction of axillary lymph node metastasis using a magnetic resonance imaging radiomics model of invasive breast cancer primary tumor8
Utility of the deep learning technique for the diagnosis of orbital invasion on CT in patients with a nasal or sinonasal tumor8
Fusion model integrating multi-sequence MRI radiomics and habitat imaging for predicting pathological complete response in breast cancer treated with neoadjuvant therapy7
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/CT7
The use of advanced imaging in guiding the further investigation and treatment of primary prostate cancer7
Preoperative multiclass classification of thymic mass lesions based on radiomics and machine learning7
A nomogram based on biparametric magnetic resonance imaging for detection of clinically significant prostate cancer in biopsy-naïve patients7
CT-based machine learning model integrating intra- and peri-tumoral radiomics features for predicting occult lymph node metastasis in peripheral lung cancer7
Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model7
Clinical and DCE-CT signs in predicting microvascular invasion in cHCC-ICC7
Case-control study of the characteristics and risk factors of hot clot artefacts on 18F-FDG PET/CT7
Prognostic value of early post-treatment 18F-FDG PET/CT in diffuse large B-cell lymphoma patients receiving chimeric antigen receptor T-cell therapy7
Prevalence and characteristics of benign cartilaginous tumours of the knee joint as identified on MRI scans7
A hierarchical fusion strategy of deep learning networks for detection and segmentation of hepatocellular carcinoma from computed tomography images7
Diffusion–based virtual MR elastography for predicting recurrence of solitary hepatocellular carcinoma after hepatectomy7
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 complica7
Acinar cell carcinoma of the pancreas: can CT and MR features predict survival?7
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 features7
Integrating MRI-based radiomics and clinicopathological features for preoperative prognostication of early-stage cervical adenocarcinoma patients: in comparison to deep learning approach7
Computed tomography-based radiomics nomogram for prediction of lympho-vascular and perineural invasion in esophageal squamous cell cancer patients: a retrospective cohort study6
Correction: Contrast enhanced ultrasound of liver lesions in patients treated for childhood malignancies6
Value of threshold growth for the diagnosis of hepatocellular carcinoma using LI-RADS6
Assessing synchronous ovarian metastasis in gastric cancer patients using a clinical-radiomics nomogram based on baseline abdominal contrast-enhanced CT: a two-center study6
Preoperative prediction of early recurrence in resectable pancreatic cancer integrating clinical, radiologic, and CT radiomics features6
Using radiomics model for predicting extraprostatic extension with PSMA PET/CT studies: a comparative study with the Mehralivand grading system6
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 Radiologist6
Imaging diagnosis and treatment selection for brain tumors in the era of molecular therapeutics6
Reproducibility and usefulness of quantitative apparent diffusion coefficient measurements for predicting program death-ligand 1 expression in nasopharyngeal carcinoma6
Outcome of patients with biochemical recurrence of prostate cancer after PSMA PET/CT-directed radiotherapy or surgery without systemic therapy6
Role of barium enema examination for the diagnosis of submucosal invasion depth in T1 colorectal cancers6
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
Morphological MRI features as prognostic indicators in brain metastases6
Early tumor shrinkage and response assessment according to mRECIST predict overall survival in hepatocellular carcinoma patients under sorafenib6
A 18F-FDG PET/CT-based deep learning-radiomics-clinical model for prediction of cervical lymph node metastasis in esophageal squamous cell carcinoma6
CT-based deep learning radiomics nomogram for the prediction of pathological grade in bladder cancer: a multicenter study6
Applying ONCO-RADS to whole-body MRI cancer screening in a retrospective cohort of asymptomatic individuals5
Imaging in metastatic breast cancer, CT, PET/CT, MRI, WB-DWI, CCA: review and new perspectives5
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 cancer5
Retraction Note to: Diffusion-weighted MR imaging of locally advanced breast carcinoma: the optimal time window of predicting the early response to neoadjuvant chemotherapy5
Effect of preoperative PI-RADS assessment on pathological outcomes in patients who underwent radical prostatectomy5
Novel applications of molecular imaging to guide breast cancer therapy5
Amide proton transfer-weighted imaging and stretch-exponential model DWI based 18F-FDG PET/MRI for differentiation of benign and malignant solitary pulmonary lesions5
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
Review on radiomic analysis in 18F-fluorodeoxyglucose positron emission tomography for prediction of melanoma outcomes5
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
Development of modified multi-parametric CT algorithms for diagnosing clear-cell renal cell carcinoma in small solid renal masses5
Preclinical evaluation and preliminary clinical study of 68Ga-NODAGA-NM-01 for PET imaging of PD-L1 expression5
Whole-lesion-aware network based on freehand ultrasound video for breast cancer assessment: a prospective multicenter study5
Quantum iterative reconstruction on a photon-counting detector CT improves the quality of hepatocellular carcinoma imaging5
CT for estimating adequacy of lymph node dissection in patients with squamous cell carcinoma of the head and neck5
Full automation of total metabolic tumor volume from FDG-PET/CT in DLBCL for baseline risk assessments5
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 del5
PET/CT reading for relapse in non-small cell lung cancer after chemoradiotherapy in the PET-Plan trial cohort5
Exploring innovative strides in radiolabeled nanoparticle progress for multimodality cancer imaging and theranostic applications5
Radiomics signature based on robust features derived from diffusion data for differentiation between benign and malignant solitary pulmonary lesions5
Preoperative diagnosis of meningioma sinus invasion based on MRI radiomics and deep learning: a multicenter study5
Evaluation of integrin αvβ3-targeted imaging for predicting disease progression in patients with high-risk differentiated thyroid cancer (using 99mTc-3PRGD2)5
Assessment of intrahepatic cholangiocarcinoma with LI-RADS in the high-risk population: MRI diagnosis and postoperative survival5
What is the impact of dynamic contrast-enhancement sequence in the Vesical Imaging, Reporting and Data System (VI-RADS)? A subgroup analysis5
Advances of radiolabeled GRPR ligands for PET/CT imaging of cancers5
Pretreatment 18F‐FDG uptake heterogeneity may predict treatment outcome of combined Trastuzumab and Pertuzumab therapy in patients with metastatic HER2 positive breast cancer5
Imaging features associated with H3 K27-altered and H3 G34-mutant gliomas: a narrative systematic review5
MRI-based radiomics value for predicting the survival of patients with locally advanced cervical squamous cell cancer treated with concurrent chemoradiotherapy5
Predictive value of extracellular volume fraction determined using enhanced computed tomography for pathological grading of clear cell renal cell carcinoma: a preliminary study5
Ultrasound-guided intra-tumoral administration of directly-injected therapies: a review of the technical and logistical considerations5
Whole-liver enhanced CT radiomics analysis to predict metachronous liver metastases after rectal cancer surgery5
Comparative analysis of metabolic characteristics and prognostic stratification of HER2-low and HER2-zero breast cancer using 18F-FDG PET/CT imaging5
Inflammation as a mediator between neck adipose tissue and tumor aggressiveness in hypopharyngeal and laryngeal squamous cell carcinoma5
Diagnostic performance of simplified TI-RADS for malignant thyroid nodules: comparison with 2017 ACR-TI-RADS and 2020 C-TI-RADS5
CEUS LI-RADS for diagnosis of hepatocellular carcinoma in individuals without LI-RADS-defined hepatocellular carcinoma risk factors5
Preoperative assessment of tertiary lymphoid structures in stage I lung adenocarcinoma using CT radiomics: a multicenter retrospective cohort study4
Enhancing local recurrence detection in patients with high-grade soft tissue sarcoma: value of short-term Ultrasonography added to post-operative MRI surveillance4
Comparative analysis of deep learning and radiomic signatures for overall survival prediction in recurrent high-grade glioma treated with immunotherapy4
Ultra-high b-Value DWI in predicting progression risk of locally advanced rectal cancer: a comparative study with routine DWI4
Analysis of preoperative computed tomography radiomics and clinical factors for predicting postsurgical recurrence of papillary thyroid carcinoma4
Immune-related [18F]FDG PET findings in patients undergoing checkpoint inhibitors treatment: correlation with clinical adverse events and prognostic implications4
Early treatment response assessment with [177Lu]PSMA whole-body-scintigraphy compared to interim PSMA-PET4
Hybrid imaging with [68Ga]PSMA-11 PET-CT and PET-MRI in biochemically recurrent prostate cancer4
Diagnostic efficiency of intravoxel incoherent motion-based virtual magnetic resonance elastography in pulmonary neoplasms4
Efficacy and safety of CT-guided microwave ablation for stage I non-small cell lung cancer in elderly patients4
Amide Proton Transfer-weighted MRI combined with serum prostate-specific antigen levels for differentiating malignant prostate lesions from benign prostate lesions: a retrospective cohort study4
Correction: Optimization and validation of echo times of point-resolved spectroscopy for cystathionine detection in gliomas4
Prediction of p53 mutation status in rectal cancer patients based on magnetic resonance imaging-based nomogram: a study of machine learning4
Prognostic significance of a negative PSMA PET/CT in biochemical recurrence of prostate cancer4
Procedure-related pain during CT-guided percutaneous transthoracic needle biopsies of lung lesions: a prospective study4
Additional findings in prostate MRI4
Assessment of perineural spread in advanced cutaneous squamous cell carcinomas treated with immunotherapy4
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 study4
Variability of radiotherapy volume delineation: PSMA PET/MRI and MRI based clinical target volume and lymph node target volume for high-risk prostate cancer4
DCE-MRI quantitative analysis and MRI-based radiomics for predicting the early efficacy of microwave ablation in lung cancers4
Prostate MRI using a rigid two-channel phased-array endorectal coil: comparison with phased array coil acquisition at 3 T4
Prognostic value of the pre-treatment SUVmax of 18F-FDG PET/CT combined with peripheral absolute lymphocyte in patients with newly diagnosed extranodal natural killer/T-cell lymphoma3
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
Challenging the significance of SUV-based parameters in a large-scale retrospective study on lung lesions3
Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma3
An interactive 3D atlas of sentinel lymph nodes in breast cancer developed using SPECT/CT3
The prognostic value of 18F-FDG PET/CT intra-tumoural metabolic heterogeneity in pretreatment neuroblastoma patients3
Preoperative contrast-enhanced CT imaging and clinicopathological characteristics analysis of mismatch repair-deficient colorectal cancer3
CTR > 0.7 predicts the subgroup of lung adenocarcinomas ≤ 2 cm at risk of poor outcome treated by sublobar resection compared to lobar resection3
Prediction of lymphovascular invasion in esophageal squamous cell carcinoma by computed tomography-based radiomics analysis: 2D or 3D ?3
So, you want to get into “total-body” PET/CT scanning? An installation guide for beginners!3
Collaborative assessment of the risk of postoperative progression in early-stage non-small cell lung cancer: a robust federated learning model3
Multiparametric liver MRI for predicting early recurrence of hepatocellular carcinoma after microwave ablation3
Cabazitaxel-induced ureteritis in metastatic castration-resistant prostate cancer patients: a single center case series 2014–20243
Correction: Patient eligibility for trials with imaging response assessment at the time of molecular tumor board presentation3
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 trial3
Sarcomatoid renal cell carcinoma: MRI features and their association with survival3
Evaluating residual tumor after neoadjuvant chemotherapy for muscle-invasive urothelial bladder cancer: diagnostic performance and outcomes using biparametric vs. multiparametric MRI3
Differentiating primary central nervous system lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient3
Semi-quantitative FDG parameters predict survival in multiple myeloma patients without autologous stem cell transplantation3
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/MR3
Sononeoperfusion: a new therapeutic effect to enhance tumour blood perfusion using diagnostic ultrasound and microbubbles3
Preoperative prediction of WHO/ISUP grade of ccRCC using intratumoral and peritumoral habitat imaging: multicenter study3
Clinical outcomes of percutaneous microwave ablation for pulmonary oligometastases from hepatocellular carcinoma: a retrospective, multicenter study3
Imaging-derived biomarkers from 68Ga-DOTATOC PET/CT scans to predict survival of patients with neuroendocrine tumors after PRRT with 177Lu-DOTATATE3
MR-based radiomics predictive modelling of EGFR mutation and HER2 overexpression in metastatic brain adenocarcinoma: a two-centre study3
Identification of HER2-over-expression, HER2-low-expression, and HER2-zero-expression statuses in breast cancer based on 18F-FDG PET/CT radiomics3
Heparin reversal with protamine sulfate after Percutaneous Hepatic Perfusion (PHP): is less more?3
MRI features and tumor-infiltrating CD8 + T cells-based nomogram for predicting meningioma recurrence risk3
Enhancing diagnostic precision in EBV-related HLH: a multifaceted approach using 18F-FDG PET/CT and nomogram integration3
The combined value of mpUS and mpMRI-TRUS fusion for the diagnosis of clinically significant prostate cancer3
Breast cancer detection accuracy of AI in an entire screening population: a retrospective, multicentre study3
Role of [18F]FDG PET/CT in the management of follicular cell-derived thyroid carcinoma3
An interpretable machine learning model based on computed tomography radiomics for predicting programmed death ligand 1 expression status in gastric cancer3
Clinical significance of visual cardiac 18F-FDG uptake in advanced non-small cell lung cancer3
ΔSUVmax adds prognostic value to early response assessment during the first-line treatment of classical Hodgkin lymphoma: a retrospective cohort study3
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