Insights Into Imaging

Papers
(The H4-Index of Insights Into Imaging is 32. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Education and training in radiation protection in Europe: results from the EURAMED Rocc-n-Roll project survey248
Imaging features of the postoperative spine: a guide to basic understanding of spine surgical procedures148
Incremental value of enhanced plaque length for identifying intracranial atherosclerotic culprit plaques: a high-resolution magnetic resonance imaging study100
Neuroimaging features of primary central nervous system post-transplantation lymphoproliferative disorder following hematopoietic stem cell transplant in patients with β-thalassemia: a case series and94
Mucosal healing assessment in Crohn’s disease with normalized iodine concentration from dual-energy CT enterography: comparison with endoscopy88
Temporal evolution of primary angiitis of the central nervous system (PACNS) on MRI following immunosuppressant treatment78
Predicting life-threatening hemoptysis in traumatic pulmonary parenchymal injury using computed tomography semi-automated lung volume quantification68
Women’s perspectives on ultrasound as primary imaging modality for focal breast complaints: a qualitative study60
Critical reflection on the indication for computed tomography: an interdisciplinary survey of risk and benefit management in patients with sepsis58
Summary of the proceedings of the International Forum 2021: “A more visible radiologist can never be replaced by AI”58
Nerve entrapment syndromes of the lower limb: a pictorial review51
Opinion on “Current status of MSK radiology training: an international survey by the European Society of Musculoskeletal Radiology (ESSR) Young Club”51
Characteristics and outcomes of anterior mediastinal cystic lesions diagnosed on chest MRI: implications for management of cystic lesions48
Development and clinical utility analysis of a prostate zonal segmentation model on T2-weighted imaging: a multicenter study45
Multiparametric MRI with MR elastography findings in patients with sinusoidal obstruction syndrome after oxaliplatin-based chemotherapy43
The current role and future directions of imaging in failed back surgery syndrome patients: an educational review42
Clinical and radiological features of lung disorders related to connective-tissue diseases: a pictorial essay42
Comparison contrast-enhanced CT with contrast-enhanced US in diagnosing combined hepatocellular-cholangiocarcinoma: a propensity score-matched study41
Comparison of a deep learning-accelerated T2-weighted turbo spin echo sequence and its conventional counterpart for female pelvic MRI: reduced acquisition times and improved image quality41
MRI of diffuse-type tenosynovial giant cell tumour in the knee: a guide for diagnosis and treatment response assessment41
CT and MR imaging features of mixed neuroendocrine–non-neuroendocrine neoplasm of the pancreas compared with pancreatic ductal adenocarcinoma and neuroendocrine tumor37
Intra- and peri-tumoral MRI radiomics features for preoperative lymph node metastasis prediction in early-stage cervical cancer36
Multimodality deep learning radiomics predicts pathological response after neoadjuvant chemoradiotherapy for esophageal squamous cell carcinoma35
A clinician’s guide to understanding aortic 4D flow MRI34
Automatic sequence identification in multicentric prostate multiparametric MRI datasets for clinical machine-learning34
A review of more than 2000 cases of site-specific pelvic endometriosis rates by MRI: a guide to minimizing under/overdiagnosis non-invasively34
Features of infective native aortic aneurysms on computed tomography33
Combined conventional factors and the radiomics signature of coronary plaque texture could improve cardiac risk prediction33
Threshold size criterion to suspect malignant supraclavicular lymph node < 10 mm in esophageal cancer33
Preoperative CT-based deep learning radiomics model to predict lymph node metastasis and patient prognosis in bladder cancer: a two-center study33
Individualized prediction of post-acute pancreatitis diabetes mellitus by combining lipid metabolism and anatomical features33
Bronchial wall T2w MRI signal as a new imaging biomarker of severe asthma32
0.23738503456116