OOIR: Observatory of International Research

Papers

(The TQCC of Cancer Imaging is 6. 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.)

Article	Citations
An MRI-based radiomics nomogram for differentiating spinal metastases from multiple myeloma	46
Prediction of lateral lymph node metastasis with short diameter less than 8 mm in papillary thyroid carcinoma based on radiomics	46
Intravoxel incoherent motion imaging combined with diffusion kurtosis imaging to assess the response to radiotherapy in a rabbit VX2 malignant bone tumor model	43
Predicting first-line VEGFR-TKI resistance and survival in metastatic clear cell renal cell carcinoma using a clinical-radiomic nomogram	34
A whole-body diffusion MRI normal atlas: development, evaluation and initial use	30
Optimisation of low and ultra-low dose scanning protocols for ultra-extended field of view PET in a real-world clinical setting	27
Predicting malignant risk of ground-glass nodules using convolutional neural networks based on dual-time-point 18F-FDG PET/CT	26
A deep learning model to enhance the classification of primary bone tumors based on incomplete multimodal images in X-ray, CT, and MRI	24
Comparison of the diagnostic accuracy of enhanced-CT and double contrast-enhanced ultrasound for preoperative T-staging of gastric cancer: a meta-analysis	23
Clinical application of machine learning models in patients with prostate cancer before prostatectomy	22
Targeted sequencing of DNA/RNA combined with radiomics predicts lymph node metastasis of papillary thyroid carcinoma	21
Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients	20
Semiautomated pelvic lymph node treatment response evaluation for patients with advanced prostate cancer: based on MET-RADS-P guidelines	19
Evaluation of 3D ARFI imaging of prostate cancer: diagnostic reliability and concordance with MpMRI	19
Whole-tumoral metabolic heterogeneity in 18F-FDG PET/CT is a novel prognostic marker for neuroblastoma	19
Glymphatic system dysfunction and cerebrospinal fluid retention in gliomas: evidence from perivascular space diffusion and volumetric analysis	19
Diagnostic performance and prognostic value of preoperative 18F-FDG PET/CT in renal cell carcinoma patients with venous tumor thrombus	18
Baseline MRI-based radiomics model assisted predicting disease progression in nasopharyngeal carcinoma patients with complete response after treatment	18
Value of high frame rate contrast enhanced ultrasound in gallbladder wall thickening in non-acute setting	17
The prognostic significance of semi-quantitative metabolic parameters and tumoral metabolic activity based on 123I-MIBG SPECT/CT in pretreatment neuroblastoma patients	17
Predicting prognosis of nasopharyngeal carcinoma based on deep learning: peritumoral region should be valued	17
3D airway geometry analysis of factors in airway navigation failure for lung nodules	17
Radiomics predicts the prognosis of patients with clear cell renal cell carcinoma by reflecting the tumor heterogeneity and microenvironment	17
The diagnostic value of contrast-enhanced ultrasonography in breast ductal abnormalities	17
HCC portal hypertension imaging score derived from CT predicts re-bleeding and mortality after acute variceal bleeding	17

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 trial	16
A transformer-based multi-task deep learning model for simultaneous infiltrated brain area identification and segmentation of gliomas	16
Preoperative splenic area as a prognostic biomarker of early-stage non-small cell lung cancer	15
Clinicopathological and computed tomography features of patients with early-stage non-small-cell lung cancer harboring ALK rearrangement	15
Qualitative and quantitative analysis of solid renal tumors by high-frame-rate contrast-enhanced ultrasound	14
Change in diffusion weighted imaging after induction chemotherapy outperforms RECIST guideline for long-term outcome prediction in advanced nasopharyngeal carcinoma	14
Clinical value of SUVpeak-to-tumor centroid distance on FDG PET/CT for predicting neoadjuvant chemotherapy response in patients with breast cancer	13
“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 wider	13
Application of preoperative advanced diffusion magnetic resonance imaging in evaluating the postoperative recurrence of lower grade gliomas	13
Molecular imaging phenotyping for selecting and monitoring radioligand therapy of neuroendocrine neoplasms	13
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 carcinoma	13
Endometrial carcinoma: use of tracer kinetic modeling of dynamic contrast-enhanced MRI for preoperative risk assessment	13
Application of SPECT and PET / CT with computer-aided diagnosis in bone metastasis of prostate cancer: a review	13
Deep learning-based fully automated detection and segmentation of pelvic lymph nodes on diffusion-weighted images for prostate cancer: a multicenter study	13
Intratumoral and peritumoral MRI-based radiomics prediction of histopathological grade in soft tissue sarcomas: a two-center study	12
Reliability of dynamic susceptibility contrast perfusion metrics in pre- and post-treatment glioma	12
Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI	12
Patterns of pseudoprogression across different cancer entities treated with immune checkpoint inhibitors	12
Diagnostic performance of prospective same-day 18F-FDG PET/MRI and 18F-FDG PET/CT in the staging and response assessment of lymphoma	11
Predicting lymph node metastasis in papillary thyroid carcinoma: radiomics using two types of ultrasound elastography	11
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 learning	11
Contrast enhanced ultrasound of liver lesions in patients treated for childhood malignancies	11
Nomogram based on spectral CT quantitative parameters and typical radiological features for distinguishing benign from malignant thyroid micro-nodules	11
Development and evaluation of a deep learning framework for pelvic and sacral tumor segmentation from multi-sequence MRI: a retrospective study	11
Detection of solid and subsolid pulmonary nodules with lung MRI: performance of UTE, T1 gradient-echo, and single-shot T2 fast spin echo	11
Thyroid imaging reporting and data system with MRI morphological features for thyroid nodules: diagnostic performance and unnecessary biopsy rate	11
Proceedings of the International Cancer Imaging Society Meeting and 21st Annual Teaching Course	11
Arterial spin labeling and diffusion-weighted imaging for identification of retropharyngeal lymph nodes in patients with nasopharyngeal carcinoma	11
Development and validation of ultrasound-based radiomics model to predict germline BRCA mutations in patients with breast cancer	11
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 lesions	11
Magnetic resonance imaging-based radiomics signature for preoperative prediction of Ki67 expression in bladder cancer	11
Thoracic high resolution computed tomography evaluation of imaging abnormalities of 108 lung cancer patients with different pulmonary function	11
Implementing CT tumor volume and CT pleural thickness into future staging systems for malignant pleural mesothelioma	10
Using tumor habitat-derived radiomic analysis during pretreatment 18F-FDG PET for predicting KRAS/NRAS/BRAF mutations in colorectal cancer	10
CT and MRI findings of cystic renal cell carcinoma: comparison with cystic collecting duct carcinoma	10
Inter-observer variation in two-dimensional and three-dimensional ultrasound measurement of papillary thyroid microcarcinoma	10
Clustering subtypes of breast cancer by combining immunohistochemistry profiles and metabolism characteristics measured using FDG PET/CT	10
Personalized prediction of immunotherapy response in lung cancer patients using advanced radiomics and deep learning	10
A clinical-radiomics nomogram based on dual-layer spectral detector CT to predict cancer stage in pancreatic ductal adenocarcinoma	10
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 carcinoma	10
The value of 18F-FDG PET/CT and 18F-DOPA PET/CT in determining the initial surgical strategy of patients with medullary thyroid cancer	9
Deep learning radiomics-based prediction model of metachronous distant metastasis following curative resection for retroperitoneal leiomyosarcoma: a bicentric study	9
PET/MR fusion texture analysis for the clinical outcome prediction in soft-tissue sarcoma	9
Value of diffusion kurtosis MR imaging and conventional diffusion weighed imaging for evaluating response to first-line chemotherapy in unresectable pancreatic cancer	9
Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique	9
Long-axial field-of-view PET/CT: perspectives and review of a revolutionary development in nuclear medicine based on clinical experience in over 7000 patients	9
Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features	9

Identification of D842V mutation in gastrointestinal stromal tumors based on CT radiomics: a multi-center study	9
The prognostic role of early tumor shrinkage in patients with hepatocellular carcinoma undergoing immunotherapy	9
Prognostic value of cervical nodal necrosis on staging imaging of nasopharyngeal carcinoma in era of intensity-modulated radiotherapy: a systematic review and meta-analysis	9
[68Ga]Ga‑PSMA‑617 PET-based radiomics model to identify candidates for active surveillance amongst patients with GGG 1–2 prostate cancer at biopsy	9
Prognostic value of CT-based radiomics in grade 1–2 pancreatic neuroendocrine tumors	9
Predictive value of background parenchymal enhancement on breast magnetic resonance imaging for pathological tumor response to neoadjuvant chemotherapy in breast cancers: a systematic review	9
Multiparametric detection and outcome prediction of pancreatic cancer involving dual-energy CT, diffusion-weighted MRI, and radiomics	9
Imaging genomics of cancer: a bibliometric analysis and review	9
Automatic rigid image Fusion of preoperative MR and intraoperative US acquired after craniotomy	9
Determining the elastography strain ratio cut off value for differentiating benign from malignant breast lesions: systematic review and meta-analysis	9
Impact of deep learning image reconstruction on volumetric accuracy and image quality of pulmonary nodules with different morphologies in low-dose CT	8
Same-day comparative protocol PET/CT-PET/MRI [68 Ga]Ga-DOTA-TOC in paragangliomas and pheochromocytomas: an approach to personalized medicine	8
Extending the clinical capabilities of short- and long-lived positron-emitting radionuclides through high sensitivity PET/CT	8
Percutaneous core-needle biopsy before and immediately after coaxial microwave ablation in solid non-small cell lung cancer: the comparison of genomic testing from specimens	8
Growth dynamics of lung nodules: implications for classification in lung cancer screening	8
Early post-treatment 18F-FDG PET/CT for predicting radiation-induced hypothyroidism in head and neck cancer	8
Multi-parameter MRI radiomics model in predicting postoperative progressive cerebral edema and hemorrhage after resection of meningioma	8
Magnetic resonance imaging of pure ovarian dysgerminoma: a series of eight cases	8
Use of imaging-based dosimetry for personalising radiopharmaceutical therapy of cancer	8
Development of a dual energy CT based model to assess response to treatment in patients with high grade serous ovarian cancer: a pilot cohort study	8
Tumor stiffness measured by 3D magnetic resonance elastography can help predict the aggressiveness of endometrial carcinoma: preliminary findings	8
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 therapy	7
Identifying factors that may influence the classification performance of radiomics models using contrast-enhanced mammography (CEM) images	7
Diagnostic performance of PET/CT in the detection of liver metastases in well-differentiated NETs	7
The comparative study of color doppler flow imaging, superb microvascular imaging, contrast-enhanced ultrasound micro flow imaging in blood flow analysis of solid renal mass	7
Nomogram based on dual-energy computed tomography to predict the response to induction chemotherapy in patients with nasopharyngeal carcinoma: a two-center study	7
Prediction of axillary lymph node metastasis using a magnetic resonance imaging radiomics model of invasive breast cancer primary tumor	7
Automation of Wilms’ tumor segmentation by artificial intelligence	7
A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer	7
Utility of the deep learning technique for the diagnosis of orbital invasion on CT in patients with a nasal or sinonasal tumor	7
Radiomics signature for dynamic changes of tumor-infiltrating CD8+ T cells and macrophages in cervical cancer during chemoradiotherapy	7
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 autom	7
LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning	7
Proceedings of the 22nd International Cancer Imaging Society Meeting and Annual Teaching Course	7
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 survival	6
Clinical and DCE-CT signs in predicting microvascular invasion in cHCC-ICC	6
[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 study	6
Evaluation of CE-MATRIX-Enhanced FLAIR imaging in the detection of leptomeningeal metastasis	6
Diffusion–based virtual MR elastography for predicting recurrence of solitary hepatocellular carcinoma after hepatectomy	6
Preoperative multiclass classification of thymic mass lesions based on radiomics and machine learning	6
Prevalence and characteristics of benign cartilaginous tumours of the knee joint as identified on MRI scans	6
The use of advanced imaging in guiding the further investigation and treatment of primary prostate cancer	6
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 complica	6
Preliminary outcomes of DEB-TACE loaded with raltitrexed in the treatment of unresectable or recurrent hepatocellular carcinoma	6
DCE-MRI is more sensitive than IVIM-DWI for assessing anti-angiogenic treatment-induced changes in colorectal liver metastases	6
Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model	6
A nomogram based on biparametric magnetic resonance imaging for detection of clinically significant prostate cancer in biopsy-naïve patients	6
Computed tomography-based radiomics nomogram for prediction of lympho-vascular and perineural invasion in esophageal squamous cell cancer patients: a retrospective cohort study	6
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 i	6
Case-control study of the characteristics and risk factors of hot clot artefacts on 18F-FDG PET/CT	6
Clinical scoring systems, molecular subtypes and baseline [18F]FDG PET/CT image analysis for prognosis of diffuse large B-cell lymphoma	6
A hierarchical fusion strategy of deep learning networks for detection and segmentation of hepatocellular carcinoma from computed tomography images	6
Radiology reporting in oncology—oncologists’ perspective	6
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 Course	6
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 features	6
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 approach	6