Comparison of machine learning classifiers for differentiation of grade 1 from higher gradings in meningioma: A multicenter radiomics study

Gordian Hamerla, Hans‐Jonas Meyer, Stefan Schob, +7

Magnetic Resonance Imaging

Multicenter RadiomicsDiagnosisGrade 1BiostatisticsMachine Learning Classifiers +3

ADC-histogram analysis in head and neck squamous cell carcinoma. Associations with different histopathological features including expression of EGFR, VEGF, HIF-1α, Her 2 and p53. A preliminary study

Hans‐Jonas Meyer, Leonard Leifels, Gordian Hamerla, +2

Magnetic Resonance Imaging

Tumor BiologyMedicineHistopathologyPathologyDifferent Histopathological Features +8

Whole lesion histogram analysis of meningiomas derived from ADC values. Correlation with several cellularity parameters, proliferation index KI 67, nucleic content, and membrane permeability

Alexey Surov, Gordian Hamerla, Hans‐Jonas Meyer, +3

Magnetic Resonance Imaging

Several Cellularity ParametersHistopathologyPathologyAdc ValuesMedicine +3

Associations between Histogram Analysis Parameters Derived from DCE-MRI and Histopathological Features including Expression of EGFR, p16, VEGF, Hif1-alpha, and p53 in HNSCC

Hans‐Jonas Meyer, Leonard Leifels, Gordian Hamerla, +2

Contrast Media & Molecular Imaging

Radiomics Model Based on Non-Contrast CT Shows No Predictive Power for Complete Pathological Response in Locally Advanced Rectal Cancer

Gordian Hamerla, Hans‐Jonas Meyer, Peter Hambsch, +4

Cancers

Surgical OncologyPathologySurgeryOncologyCancer Detection +15

Associations between whole tumor histogram analysis parameters derived from ADC maps and expression of EGFR, VEGF, Hif 1-alpha, Her-2 and Histone 3 in uterine cervical cancer

Hans‐Jonas Meyer, Peter Gundermann, Anne Kathrin Höhn, +2

Magnetic Resonance Imaging

Tumoral PathologyCervical CancerHistone 3HistopathologyGynecology +9

Histogram Analysis Parameters Apparent Diffusion Coefficient for Distinguishing High and Low-Grade Meningiomas: A Multicenter Study

Alexey Surov, Daniel Thomas Ginat, C. C. Tchoyoson Lim, +9

Translational Oncology

CT Texture Analysis—Correlations With Histopathology Parameters in Head and Neck Squamous Cell Carcinomas

Hans‐Jonas Meyer, Gordian Hamerla, Anne Kathrin Höhn, +1

Frontiers in Oncology

Histogram Analysis Parameters Derived from Conventional T1- and T2-Weighted Images Can Predict Different Histopathological Features Including Expression of Ki67, EGFR, VEGF, HIF-1α, and p53 and Cell Count in Head and Neck Squamous Cell Carcinoma

Hans‐Jonas Meyer, Leonard Leifels, Gordian Hamerla, +2

Molecular Imaging and Biology

Tumoral PathologyMedicineHistopathologyComputational PathologyPathology +10

Texture analysis parameters derived from T1-and T2-weighted magnetic resonance images can reflect Ki67 index in soft tissue sarcoma

Hans‐Jonas Meyer, Katharina Renatus, Anne Kathrin Höhn, +5

Surgical Oncology

EngineeringMedical ImagingSoft Tissue SarcomaBiomedical ImagingPathology +10