Cancer Imaging

Papers
(The median citation count of Cancer Imaging is 4. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Survival impact of a KEAP1-NFE2L2 radiomics model in PDL1 ≥ 50% non-small cell lung cancer treated with pembrolizumab: the PEMBROMIC study78
Contrast-enhanced ultrasound quantitative parameters for predicting benign and malignant greater omentum lesions: an applied study74
Comparison of the diagnostic accuracy of enhanced-CT and double contrast-enhanced ultrasound for preoperative T-staging of gastric cancer: a meta-analysis71
Clinical application of machine learning models in patients with prostate cancer before prostatectomy62
Targeted sequencing of DNA/RNA combined with radiomics predicts lymph node metastasis of papillary thyroid carcinoma43
Prediction of lateral lymph node metastasis with short diameter less than 8 mm in papillary thyroid carcinoma based on radiomics43
Whole-tumoral metabolic heterogeneity in 18F-FDG PET/CT is a novel prognostic marker for neuroblastoma40
Optimisation of low and ultra-low dose scanning protocols for ultra-extended field of view PET in a real-world clinical setting35
A whole-body diffusion MRI normal atlas: development, evaluation and initial use32
An MRI-based radiomics nomogram for differentiating spinal metastases from multiple myeloma30
Predicting malignant risk of ground-glass nodules using convolutional neural networks based on dual-time-point 18F-FDG PET/CT30
Predicting first-line VEGFR-TKI resistance and survival in metastatic clear cell renal cell carcinoma using a clinical-radiomic nomogram29
Ultrasound-guided percutaneous core biopsy of renal sinus masses: diagnostic yield, safety, and clinical impact28
Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients28
A deep learning model to enhance the classification of primary bone tumors based on incomplete multimodal images in X-ray, CT, and MRI28
Systematic effects of patient factors and scanner/protocol factors on a Restriction Spectrum Imaging (RSI) quantitative MRI biomarker for prostate cancer27
Application Value of a nomogram integrating contrast-enhanced CT radiomics and clinical indicators in evaluating lymph node metastasis in pediatric peripheral neuroblastoma27
Intravoxel incoherent motion imaging combined with diffusion kurtosis imaging to assess the response to radiotherapy in a rabbit VX2 malignant bone tumor model27
Parameter-driven habitat imaging based on intravoxel incoherent motion MRI for preoperative prediction of muscle invasion in bladder cancer26
Preoperative low-attenuation area on computed tomography is associated with recurrence after curative resection for non-small-cell lung cancer26
Response assessment in rectal cancer undergoing total neoadjuvant therapy: decision tree analysis integrating contrast enhanced T1-weighted MRI26
The prognostic significance of semi-quantitative metabolic parameters and tumoral metabolic activity based on 123I-MIBG SPECT/CT in pretreatment neuroblastoma patients26
Predicting prognosis of nasopharyngeal carcinoma based on deep learning: peritumoral region should be valued25
Contrast-enhanced ultrasound for diagnosing subtypes of intrahepatic cholangiocarcinoma: a comparative study with poorly differentiated hepatocellular carcinoma25
Semiautomated pelvic lymph node treatment response evaluation for patients with advanced prostate cancer: based on MET-RADS-P guidelines24
Imaging appearances, CT evolution patterns, and surgical prognosis of stage I lung squamous cell carcinoma24
Glymphatic system dysfunction and cerebrospinal fluid retention in gliomas: evidence from perivascular space diffusion and volumetric analysis24
Radiomics predicts the prognosis of patients with clear cell renal cell carcinoma by reflecting the tumor heterogeneity and microenvironment24
Evaluation of 3D ARFI imaging of prostate cancer: diagnostic reliability and concordance with MpMRI23
The CT colonography radiology and data system: history, updates, and future directions23
Diagnostic performance and prognostic value of preoperative 18F-FDG PET/CT in renal cell carcinoma patients with venous tumor thrombus22
3D airway geometry analysis of factors in airway navigation failure for lung nodules22
Geographic variability in contemporary utilization of PET imaging for prostate cancer: a medicare claims cohort study21
The diagnostic value of contrast-enhanced ultrasonography in breast ductal abnormalities21
Preoperative splenic area as a prognostic biomarker of early-stage non-small cell lung cancer21
A transformer-based multi-task deep learning model for simultaneous infiltrated brain area identification and segmentation of gliomas21
Clinicopathological and computed tomography features of patients with early-stage non-small-cell lung cancer harboring ALK rearrangement21
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 trial21
Qualitative and quantitative analysis of solid renal tumors by high-frame-rate contrast-enhanced ultrasound21
Change in diffusion weighted imaging after induction chemotherapy outperforms RECIST guideline for long-term outcome prediction in advanced nasopharyngeal carcinoma20
Reliability of dynamic susceptibility contrast perfusion metrics in pre- and post-treatment glioma20
Multi-class brain tumor MRI segmentation and classification using deep learning and machine learning approaches20
Value of high frame rate contrast enhanced ultrasound in gallbladder wall thickening in non-acute setting20
HCC portal hypertension imaging score derived from CT predicts re-bleeding and mortality after acute variceal bleeding20
Proceedings of the 24th International Cancer Imaging Society Meeting and Annual Teaching Course20
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 carcinoma20
Study on predicting microsatellite instability in rectal cancer using T2 mapping combined with ADC value19
Spectral CT imaging for assessment of metastases in melanoma patients: multi-reader evaluation19
Differentiating pancreatic from periampullary non-pancreatic cancer: a nomogram-based prediction model utilizing CT imaging19
Microstructure mapping with time-dependent diffusion MRI differentiates primary central nervous system lymphoma from glioblastoma18
Application of preoperative advanced diffusion magnetic resonance imaging in evaluating the postoperative recurrence of lower grade gliomas18
Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI18
Molecular imaging phenotyping for selecting and monitoring radioligand therapy of neuroendocrine neoplasms18
Clinical value of SUVpeak-to-tumor centroid distance on FDG PET/CT for predicting neoadjuvant chemotherapy response in patients with breast cancer18
Patterns of pseudoprogression across different cancer entities treated with immune checkpoint inhibitors17
Deep learning-based fully automated detection and segmentation of pelvic lymph nodes on diffusion-weighted images for prostate cancer: a multicenter study17
Diagnostic performance of prospective same-day 18F-FDG PET/MRI and 18F-FDG PET/CT in the staging and response assessment of lymphoma17
Development and validation of ultrasound-based radiomics model to predict germline BRCA mutations in patients with breast cancer16
PSMA expression assessed by [18F]PSMA-1007 PET/CT imaging in metastatic hormone-sensitive prostate cancer patients treated with apalutamide16
Nomogram based on spectral CT quantitative parameters and typical radiological features for distinguishing benign from malignant thyroid micro-nodules16
Human–AI interaction in a cancer-enriched double-reading breast screening cohort: diagnostic accuracy and second-reader behavior16
Thyroid imaging reporting and data system with MRI morphological features for thyroid nodules: diagnostic performance and unnecessary biopsy rate16
Detection of solid and subsolid pulmonary nodules with lung MRI: performance of UTE, T1 gradient-echo, and single-shot T2 fast spin echo16
Dual-layer spectral detector computed tomography multiparameter machine learning model for prediction of lymph node metastases in esophageal squamous cell carcinoma16
Thermal ablation for pulmonary oligometastases from hepatocellular carcinoma: initial experience and retrospective study16
Proceedings of the International Cancer Imaging Society Meeting and 21st Annual Teaching Course16
Thoracic high resolution computed tomography evaluation of imaging abnormalities of 108 lung cancer patients with different pulmonary function16
Development and evaluation of a deep learning framework for pelvic and sacral tumor segmentation from multi-sequence MRI: a retrospective study15
Tumor size measurements of pancreatic cancer with neoadjuvant therapy based on RECIST guidelines: is MRI as effective as CT?15
Arterial spin labeling and diffusion-weighted imaging for identification of retropharyngeal lymph nodes in patients with nasopharyngeal carcinoma15
Tumor classification of gastrointestinal liver metastases using CT-based radiomics and deep learning14
Contrast enhanced ultrasound of liver lesions in patients treated for childhood malignancies14
A call for objectivity: Radiologists’ proposed wishlist for response evaluation in solid tumors (RECIST 1.1)14
Surviving childhood cancer: the hidden threat of second malignancies14
Image analysis: 68Ga-FAPI-46 PET derived texture parameters improve the differentiation of malignant and benign pulmonary lesions14
Development and validation of the multidimensional machine learning model for preoperative risk stratification in papillary thyroid carcinoma: a multicenter, retrospective cohort study14
The role of dynamic, static, and delayed total-body PET imaging in the detection and differential diagnosis of oncological lesions14
Cancer predisposition syndromes: an imaging review13
Using tumor habitat-derived radiomic analysis during pretreatment 18F-FDG PET for predicting KRAS/NRAS/BRAF mutations in colorectal cancer13
Prediction of relapsed/refractory primary central nervous system lymphoma using pre-chemotherapy ITSS grade on SWI and pre-/post-chemotherapy ADC parameters on DWI13
Early radiological response pattern predicts long-term response in patients with non-small cell lung cancer treated with immune-checkpoint inhibitors13
Does clinical T1N0 GGN really require checking for distant metastasis during initial staging for lung cancer?13
Efficacy of targeted chemokine receptor 4 PET/CT in evaluating active lesions in multiple myeloma, comparison to 18F-FDG PET/CT13
Predicting lymph node metastasis in papillary thyroid carcinoma: radiomics using two types of ultrasound elastography13
Intratumoral and peritumoral MRI-based radiomics prediction of histopathological grade in soft tissue sarcomas: a two-center study13
PSMA-PET-derived distance features as biomarkers for predicting outcomes in primary prostate cancer post-radical prostatectomy13
Personalized prediction of immunotherapy response in lung cancer patients using advanced radiomics and deep learning13
Inter-observer variation in two-dimensional and three-dimensional ultrasound measurement of papillary thyroid microcarcinoma13
Application of diffusion kurtosis imaging in differentiating T0-T1 from T2 rectal tumors12
Value of diffusion kurtosis MR imaging and conventional diffusion weighed imaging for evaluating response to first-line chemotherapy in unresectable pancreatic cancer12
The prognostic role of early tumor shrinkage in patients with hepatocellular carcinoma undergoing immunotherapy12
Predictive value of background parenchymal enhancement on breast magnetic resonance imaging for pathological tumor response to neoadjuvant chemotherapy in breast cancers: a systematic review12
Effect of disappearing liver metastases during pre-ablation chemotherapy on the prognosis of percutaneous microwave ablation in synchronous colorectal liver metastases patients12
Imaging genomics of cancer: a bibliometric analysis and review12
Identification of D842V mutation in gastrointestinal stromal tumors based on CT radiomics: a multi-center study12
Hierarchical diagnosis of breast phyllodes tumors enabled by deep learning of ultrasound images: a retrospective multi-center study12
Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique12
Deep learning radiomics-based prediction model of metachronous distant metastasis following curative resection for retroperitoneal leiomyosarcoma: a bicentric study12
The sonographic characteristics of unicentric castleman disease - a single-center retrospective study12
Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features12
A clinical-radiomics nomogram based on dual-layer spectral detector CT to predict cancer stage in pancreatic ductal adenocarcinoma12
Multiparametric detection and outcome prediction of pancreatic cancer involving dual-energy CT, diffusion-weighted MRI, and radiomics11
Longitudinal CE-MRI-based Siamese network with machine learning to predict tumor response in HCC after DEB-TACE11
Preoperative dual-ROI mpMRI radiomics integrating intratumoral and periprostatic adipose tissue features with clinical factors for predicting positive surgical margins after radical prostatectomy11
Early post-treatment 18F-FDG PET/CT for predicting radiation-induced hypothyroidism in head and neck cancer11
Use of imaging-based dosimetry for personalising radiopharmaceutical therapy of cancer11
Long-axial field-of-view PET/CT: perspectives and review of a revolutionary development in nuclear medicine based on clinical experience in over 7000 patients11
CT-based radiomics model to predict platinum sensitivity in epithelial ovarian carcinoma: a multicentre study11
CT radiomics based on different machine learning models for classifying gross tumor volume and normal liver tissue in hepatocellular carcinoma11
The value of 18F-FDG PET/CT and 18F-DOPA PET/CT in determining the initial surgical strategy of patients with medullary thyroid cancer11
Efficacy and safety in synchronous core-needle biopsy and cryoablation for highly suspicious malignant pulmonary nodule11
Enhancing 18F-FDG PET image quality and lesion diagnostic performance across different body mass index using the deep progressive learning reconstruction algorithm11
Temporal change in skeletal muscle index as a predictor of recurrence for patients with locally advanced colorectal malignancy: a retrospective cohort study11
Prognostic value of CT-based radiomics in grade 1–2 pancreatic neuroendocrine tumors11
Automatic rigid image Fusion of preoperative MR and intraoperative US acquired after craniotomy11
[68Ga]Ga‑PSMA‑617 PET-based radiomics model to identify candidates for active surveillance amongst patients with GGG 1–2 prostate cancer at biopsy11
Same-day comparative protocol PET/CT-PET/MRI [68 Ga]Ga-DOTA-TOC in paragangliomas and pheochromocytomas: an approach to personalized medicine11
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
Growth dynamics of lung nodules: implications for classification in lung cancer screening10
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 therapy10
Multi-parametric MRI radiomics predicts different HER2 expression in breast cancer10
Multi-parameter MRI radiomics model in predicting postoperative progressive cerebral edema and hemorrhage after resection of meningioma10
MRI based unsuperviced clustering on MIBC reveals intratumor heterogeneity phenotypes and neoadjuvant chemotherapy efficacy10
Proceedings of the 22nd International Cancer Imaging Society Meeting and Annual Teaching Course10
T1rho imaging of head and neck cancer: its association with pathological and immunohistochemical biomarkers in nasopharyngeal carcinoma10
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
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
A SHAP-interpretable XGBoost model: MRI-based intratumoral perfusion heterogeneity predicts HER2-zero, -low, and -positive ternary expression status in breast cancer10
Evaluation of CE-MATRIX-Enhanced FLAIR imaging in the detection of leptomeningeal metastasis10
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 autom10
Impact of deep learning image reconstruction on volumetric accuracy and image quality of pulmonary nodules with different morphologies in low-dose CT10
Diagnostic performance of PET/CT in the detection of liver metastases in well-differentiated NETs9
Preliminary outcomes of DEB-TACE loaded with raltitrexed in the treatment of unresectable or recurrent hepatocellular carcinoma9
Prediction of axillary lymph node metastasis using a magnetic resonance imaging radiomics model of invasive breast cancer primary tumor9
Metabolic response prediction using 68Ga-FAPI PET/CT in Non-Hodgkin lymphoma treated with chemotherapy: a pilot study9
Fusion model integrating multi-sequence MRI radiomics and habitat imaging for predicting pathological complete response in breast cancer treated with neoadjuvant therapy9
The performance of DWI and ADC values with different b-values for the diagnosis and staging of endometrial carcinoma at 3T9
Altered glymphatic-related MRI markers in children with acute lymphoblastic and myeloid leukemia at diagnosis9
[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
LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning9
Prognostic value of PSMA PET–derived tumor volume in metastatic castration-resistant prostate cancer treated with abiraterone or enzalutamide9
Clinical scoring systems, molecular subtypes and baseline [18F]FDG PET/CT image analysis for prognosis of diffuse large B-cell lymphoma9
A hierarchical fusion strategy of deep learning networks for detection and segmentation of hepatocellular carcinoma from computed tomography images9
Precision medicine in prostate cancer: individualized treatment through radiomics, genomics, and biomarkers9
CT-based multiple instance and ensemble learning for lymph node metastasis prediction in esophageal squamous cell carcinoma: a multicentre, retrospective study9
Radiomics signature for dynamic changes of tumor-infiltrating CD8+ T cells and macrophages in cervical cancer during chemoradiotherapy9
Automation of Wilms’ tumor segmentation by artificial intelligence9
Nomogram based on dual-energy computed tomography to predict the response to induction chemotherapy in patients with nasopharyngeal carcinoma: a two-center study9
Utility of the deep learning technique for the diagnosis of orbital invasion on CT in patients with a nasal or sinonasal tumor9
Clinical and DCE-CT signs in predicting microvascular invasion in cHCC-ICC9
CT-based machine learning model integrating intra- and peri-tumoral radiomics features for predicting occult lymph node metastasis in peripheral lung cancer9
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 complica9
Value of threshold growth for the diagnosis of hepatocellular carcinoma using LI-RADS8
Pregnancy associated breast cancer: correlation between parity and ultrasonic characteristics of tumors & background echotexture8
Using radiomics model for predicting extraprostatic extension with PSMA PET/CT studies: a comparative study with the Mehralivand grading system8
Preoperative prediction of early recurrence in resectable pancreatic cancer integrating clinical, radiologic, and CT radiomics features8
The use of advanced imaging in guiding the further investigation and treatment of primary prostate cancer8
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 i8
Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model8
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 features8
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 Radiologist8
Noninvasive prediction of Glypican-3 expression in hepatocellular carcinoma using Habitat-based and peritumoral CT radiomics: a nomogram approach8
Correction: Contrast enhanced ultrasound of liver lesions in patients treated for childhood malignancies8
Diffusion–based virtual MR elastography for predicting recurrence of solitary hepatocellular carcinoma after hepatectomy8
Integrating MRI-based radiomics and clinicopathological features for preoperative prognostication of early-stage cervical adenocarcinoma patients: in comparison to deep learning approach8
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
Prognostic value of early post-treatment 18F-FDG PET/CT in diffuse large B-cell lymphoma patients receiving chimeric antigen receptor T-cell therapy8
Assessing synchronous ovarian metastasis in gastric cancer patients using a clinical-radiomics nomogram based on baseline abdominal contrast-enhanced CT: a two-center study8
Correlations between Ki67 expression and uptake of 68Ga-FAPI-04 versus 18F-FDG in different types of tumors: a lesion-based study8
Acinar cell carcinoma of the pancreas: can CT and MR features predict survival?8
Morphological MRI features as prognostic indicators in brain metastases8
Case-control study of the characteristics and risk factors of hot clot artefacts on 18F-FDG PET/CT8
Computed tomography-based radiomics nomogram for prediction of lympho-vascular and perineural invasion in esophageal squamous cell cancer patients: a retrospective cohort study8
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
Prevalence and characteristics of benign cartilaginous tumours of the knee joint as identified on MRI scans8
Noninvasive prediction of glypican-3 expression and recurrence-free survival in hepatocellular carcinoma using contrast-enhanced ultrasound8
Diagnostic performance of simplified TI-RADS for malignant thyroid nodules: comparison with 2017 ACR-TI-RADS and 2020 C-TI-RADS7
MRI-based patient selection for active surveillance in prostate cancer using U-Found: a generalized deep learning model7
Imaging in metastatic breast cancer, CT, PET/CT, MRI, WB-DWI, CCA: review and new perspectives7
Whole-lesion-aware network based on freehand ultrasound video for breast cancer assessment: a prospective multicenter study7
Outcome of patients with biochemical recurrence of prostate cancer after PSMA PET/CT-directed radiotherapy or surgery without systemic therapy7
CEUS LI-RADS for diagnosis of hepatocellular carcinoma in individuals without LI-RADS-defined hepatocellular carcinoma risk factors7
A 18F-FDG PET/CT-based deep learning-radiomics-clinical model for prediction of cervical lymph node metastasis in esophageal squamous cell carcinoma7
Comparative analysis of metabolic characteristics and prognostic stratification of HER2-low and HER2-zero breast cancer using 18F-FDG PET/CT imaging7
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 del7
Full automation of total metabolic tumor volume from FDG-PET/CT in DLBCL for baseline risk assessments7
Imaging features associated with H3 K27-altered and H3 G34-mutant gliomas: a narrative systematic review7
PET/CT reading for relapse in non-small cell lung cancer after chemoradiotherapy in the PET-Plan trial cohort7
Ultrasound-guided intra-tumoral administration of directly-injected therapies: a review of the technical and logistical considerations7
Effect of preoperative PI-RADS assessment on pathological outcomes in patients who underwent radical prostatectomy7
Evaluation of integrin αvβ3-targeted imaging for predicting disease progression in patients with high-risk differentiated thyroid cancer (using 99mTc-3PRGD2)7
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 study7
Exploring innovative strides in radiolabeled nanoparticle progress for multimodality cancer imaging and theranostic applications7
The significance of small lymph nodes on CT for advanced poorly cohesive gastric carcinoma7
CT-based deep learning radiomics nomogram for the prediction of pathological grade in bladder cancer: a multicenter study7
Whole-liver enhanced CT radiomics analysis to predict metachronous liver metastases after rectal cancer surgery7
Development of modified multi-parametric CT algorithms for diagnosing clear-cell renal cell carcinoma in small solid renal masses7
Review on radiomic analysis in 18F-fluorodeoxyglucose positron emission tomography for prediction of melanoma outcomes7
Applying ONCO-RADS to whole-body MRI cancer screening in a retrospective cohort of asymptomatic individuals7
Radiomics signature based on robust features derived from diffusion data for differentiation between benign and malignant solitary pulmonary lesions7
Inflammation as a mediator between neck adipose tissue and tumor aggressiveness in hypopharyngeal and laryngeal squamous cell carcinoma7
Evaluation of RECIST v1.1 for predicting overall survival in sarcoma patients with pulmonary metastasis7
Amide proton transfer-weighted imaging and stretch-exponential model DWI based 18F-FDG PET/MRI for differentiation of benign and malignant solitary pulmonary lesions7
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 therapy7
Preoperative diagnosis of meningioma sinus invasion based on MRI radiomics and deep learning: a multicenter study7
Reproducibility and usefulness of quantitative apparent diffusion coefficient measurements for predicting program death-ligand 1 expression in nasopharyngeal carcinoma7
Assessment of intrahepatic cholangiocarcinoma with LI-RADS in the high-risk population: MRI diagnosis and postoperative survival7
Quantum iterative reconstruction on a photon-counting detector CT improves the quality of hepatocellular carcinoma imaging7
MRI-based radiomics value for predicting the survival of patients with locally advanced cervical squamous cell cancer treated with concurrent chemoradiotherapy7
Radiomics-based differentiation between glioblastoma and primary central nervous system lymphoma: CT vs MRI7
Performance of simultaneous multislice diffusion-weighted imaging using monoexponential, intravoxel incoherent motion, and diffusion kurtosis models: assessment of microvascular invasion and histologi6
Comparative analysis of deep learning and radiomic signatures for overall survival prediction in recurrent high-grade glioma treated with immunotherapy6
Novel applications of molecular imaging to guide breast cancer therapy6
Preclinical evaluation and preliminary clinical study of 68Ga-NODAGA-NM-01 for PET imaging of PD-L1 expression6
Preoperative assessment of tertiary lymphoid structures in stage I lung adenocarcinoma using CT radiomics: a multicenter retrospective cohort study6
Variability of radiotherapy volume delineation: PSMA PET/MRI and MRI based clinical target volume and lymph node target volume for high-risk prostate cancer6
Procedure-related pain during CT-guided percutaneous transthoracic needle biopsies of lung lesions: a prospective study6
Prediction of p53 mutation status in rectal cancer patients based on magnetic resonance imaging-based nomogram: a study of machine learning6
Efficacy and safety of CT-guided microwave ablation for stage I non-small cell lung cancer in elderly patients6
Analysis of colorectal liver metastases in photon-counting detector CT - optimizing imaging through spectral reconstruction6
Tumor shrinkage patterns and optimal timing of response assessment during neoadjuvant therapy for breast cancer: a study based on multiparametric MRI6
Predictive value of extracellular volume fraction determined using enhanced computed tomography for pathological grading of clear cell renal cell carcinoma: a preliminary study6
Amide Proton Transfer-weighted MRI combined with serum prostate-specific antigen levels for differentiating malignant prostate lesions from benign prostate lesions: a retrospective cohort study6
Early treatment response assessment with [177Lu]PSMA whole-body-scintigraphy compared to interim PSMA-PET6
Immune-related [18F]FDG PET findings in patients undergoing checkpoint inhibitors treatment: correlation with clinical adverse events and prognostic implications6
Advances of radiolabeled GRPR ligands for PET/CT imaging of cancers6
Pretreatment 18F‐FDG uptake heterogeneity may predict treatment outcome of combined Trastuzumab and Pertuzumab therapy in patients with metastatic HER2 positive breast cancer6
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 cancer6
Diagnostic efficiency of intravoxel incoherent motion-based virtual magnetic resonance elastography in pulmonary neoplasms6
The result prediction of fluorescence in situ hybridization for breast cancer patients based on machine learning and deep learning models: a multicenter study6
Association between induced organ atrophy assessed by artificial intelligence-generated automatic segmentation and efficacy of bevacizumab in combination with chemotherapy in metastatic colorectal can5
NI-RADS in posttreatment head and neck cancer surveillance: a framework for standardized imaging with clinical impact5
Clinical significance of visual cardiac 18F-FDG uptake in advanced non-small cell lung cancer5
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 lymphoma5
High-acceleration pancreatobiliary MRI with deep learning-based super-resolution reconstruction for evaluating presumed pancreatic intraductal papillary mucinous neoplasm5
Prediction of lymphovascular invasion in esophageal squamous cell carcinoma by computed tomography-based radiomics analysis: 2D or 3D ?5
MR-based radiomics predictive modelling of EGFR mutation and HER2 overexpression in metastatic brain adenocarcinoma: a two-centre study5
Evaluating residual tumor after neoadjuvant chemotherapy for muscle-invasive urothelial bladder cancer: diagnostic performance and outcomes using biparametric vs. multiparametric MRI5
CT-based renal artery caliber change as a potential imaging marker of treatment response in renal cell carcinoma; an exploratory imaging study5
Baseline and interim 18F-FDG PET/CT imaging in outcome prediction in adult patients with Hodgkins lymphoma5
Clinical outcomes of percutaneous microwave ablation for pulmonary oligometastases from hepatocellular carcinoma: a retrospective, multicenter study5
So, you want to get into “total-body” PET/CT scanning? An installation guide for beginners!5
Correlation between remnant thyroid gland I-131 uptake and serum thyroglobulin levels: can we rely on I-131 whole body scans?5
Collaborative assessment of the risk of postoperative progression in early-stage non-small cell lung cancer: a robust federated learning model5
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 trial5
Challenging the significance of SUV-based parameters in a large-scale retrospective study on lung lesions5
Malignancy prediction for calcified thyroid nodules using deep learning based on ultrasound dynamic videos5
Identification of HER2-over-expression, HER2-low-expression, and HER2-zero-expression statuses in breast cancer based on 18F-FDG PET/CT radiomics5
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