Search for Articles

Article

1,243 Views

12 Pages

Combining Coronal and Axial DWI for Accurate Diagnosis of Brainstem Ischemic Strokes: Volume-Based Correlation with Stroke Severity

Omar Alhaj Omar,
Mesut Yenigün,
Farzat Alchayah,
Priyanka Boettger,
Francesca Culaj,
Toska Maxhuni,
Norma J. Diel,
Stefan T. Gerner,
Maxime Viard and
Hagen B. Huttner
+ 3 authors

Brain Sci.2025, 15(8), 823;https://doi.org/10.3390/brainsci15080823

-

31 July 2025

Background/Objectives: Brainstem ischemic strokes comprise 10% of ischemic strokes and are challenging to diagnose due to small lesion size and complex presentations. Diffusion-weighted imaging (DWI) is crucial for detecting ischemia, yet it can miss...

Full Article

Article

4 Citations

2,773 Views

10 Pages

Intraoperative MRI Assessment of the Tissue Damage during Laser Ablation of Hypothalamic Hamartoma

Sophie Lombardi,
Domenico Tortora,
Stefania Picariello,
Sniya Sudhakar,
Enrico De Vita,
Kshitij Mankad,
Sophia Varadkar,
Alessandro Consales,
Lino Nobili and
Jessica Cooper
+ 2 authors

Diagnostics2023, 13(14), 2331;https://doi.org/10.3390/diagnostics13142331

-

10 July 2023

Laser ablation for treatment of hypothalamic hamartoma (HH) is a minimally invasive and effective technique used to destroy hamartomatous tissue and disconnect it from the functioning brain. Currently, the gold standard to evaluate the amount of tiss...

Full Article

Article

5 Citations

5,048 Views

10 Pages

Evaluation of Pulmonary Nodules by Radiologists vs. Radiomics in Stand-Alone and Complementary CT and MRI

Eric Tietz,
Gustav Müller-Franzes,
Markus Zimmermann,
Christiane Katharina Kuhl,
Sebastian Keil,
Sven Nebelung and
Daniel Truhn

Diagnostics2024, 14(5), 483;https://doi.org/10.3390/diagnostics14050483

-

23 February 2024

Increased attention has been given to MRI in radiation-free screening for malignant nodules in recent years. Our objective was to compare the performance of human readers and radiomic feature analysis based on stand-alone and complementary CT and MRI...

Full Article

Article

1,451 Views

12 Pages

Relationship Between DWI-Based Acute Ischemic Stroke Volume, Location and Severity of Dysphagia

Carlo A. Mallio,
Daniele Vertulli,
Gianfranco Di Gennaro,
Maria Teresa Ascrizzi,
Fioravante Capone,
Chiara Grattarola,
Vitaliana Luccarelli,
Federico Greco,
Bruno Beomonte Zobel and
Vincenzo Di Lazzaro
+ 1 author

Brain Sci.2024, 14(12), 1185;https://doi.org/10.3390/brainsci14121185

-

26 November 2024

Background/Objectives: The impact of stroke location and volume on the development of post-stroke dysphagia is not fully understood. The aim of this study is to evaluate the relationship between acute ischemic lesions and the severity of dysphagia. M...

Full Article

Article

726 Views

11 Pages

Evaluating Deep Learning-Based Commercial Software for Detecting Ischemic Lesions on DWI in Stroke Patients

Ceren Alis,
Elvin Ay,
Gencer Genc and
Serpil Bulut

Diagnostics2025, 15(18), 2357;https://doi.org/10.3390/diagnostics15182357

-

17 September 2025

Background: Recent advancements in deep learning have enabled the development of automated software to assist in ischemic lesion detection on diffusion-weighted imaging (DWI), but their real-world performance remains underexplored. This study evaluat...

Full Article

Article

25 Citations

3,140 Views

10 Pages

Diagnostic Accuracy of Abbreviated Bi-Parametric MRI (a-bpMRI) for Prostate Cancer Detection and Screening: A Multi-Reader Study

Giorgio Brembilla,
Francesco Giganti,
Harbir Sidhu,
Massimo Imbriaco,
Sue Mallett,
Armando Stabile,
Alex Freeman,
Hashim U. Ahmed,
Caroline Moore and
Mark Emberton
+ 1 author

Diagnostics2022, 12(2), 231;https://doi.org/10.3390/diagnostics12020231

-

18 January 2022

(1) Background: There is currently limited evidence on the diagnostic accuracy of abbreviated biparametric MRI (a-bpMRI) protocols for prostate cancer (PCa) detection and screening. In the present study, we aim to investigate the performance of a-bpM...

Full Article

Article

1 Citations

2,481 Views

23 Pages

Characterizing Breast Tumor Heterogeneity Through IVIM-DWI Parameters and Signal Decay Analysis

Si-Wa Chan,
Chun-An Lin,
Yen-Chieh Ouyang,
Guan-Yuan Chen,
Chein-I Chang,
Chin-Yao Lin,
Chih-Chiang Hung,
Chih-Yean Lum,
Kuo-Chung Wang and
Ming-Cheng Liu

Diagnostics2025, 15(12), 1499;https://doi.org/10.3390/diagnostics15121499

-

12 June 2025

Background/Objectives: This research presents a novel analytical method for breast tumor characterization and tissue classification by leveraging intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) combined with hyperspectral imaging t...

Full Article

Article

15 Citations

4,986 Views

12 Pages

Magnetic Resonance Features of Liver Mucinous Colorectal Metastases: What the Radiologist Should Know

Vincenza Granata,
Roberta Fusco,
Federica De Muzio,
Carmen Cutolo,
Sergio Venanzio Setola,
Federica Dell’Aversana,
Andrea Belli,
Carmela Romano,
Alessandro Ottaiano and
Guglielmo Nasti
+ 5 authors

J. Clin. Med.2022, 11(8), 2221;https://doi.org/10.3390/jcm11082221

-

15 April 2022

Purpose: The aim of this study is to assess MRI features of mucinous liver metastases compared to non-mucinous metastases and hepatic hemangioma. Methods: A radiological archive was assessed from January 2017 to June 2021 to select patients subjected...

Full Article

Article

3 Citations

2,443 Views

21 Pages

Acquisition Parameters Influence Diffusion Metrics Effectiveness in Probing Prostate Tumor and Age-Related Microstructure

Alessandra Stella Caporale,
Marco Nezzo,
Maria Giovanna Di Trani,
Alessandra Maiuro,
Roberto Miano,
Pierluigi Bove,
Alessandro Mauriello,
Guglielmo Manenti and
Silvia Capuani

J. Pers. Med.2023, 13(5), 860;https://doi.org/10.3390/jpm13050860

-

20 May 2023

This study aimed to investigate the Diffusion-Tensor-Imaging (DTI) potential in the detection of microstructural changes in prostate cancer (PCa) in relation to the diffusion weight (b-value) and the associated diffusion length lD. Thirty-two patient...

Full Article

Article

1,695 Views

14 Pages

A Multimodal MRI-Based Model for Colorectal Liver Metastasis Prediction: Integrating Radiomics, Deep Learning, and Clinical Features with SHAP Interpretation

Xin Yan,
Furui Duan,
Lu Chen,
Runhong Wang,
Kexin Li,
Qiao Sun and
Kuang Fu

Curr. Oncol.2025, 32(8), 431;https://doi.org/10.3390/curroncol32080431

-

30 July 2025

Purpose: Predicting colorectal cancer liver metastasis (CRLM) is essential for prognostic assessment. This study aims to develop and validate an interpretable multimodal machine learning framework based on multiparametric MRI for predicting CRLM, and...

Full Article

10 Results Found

Combining Coronal and Axial DWI for Accurate Diagnosis of Brainstem Ischemic Strokes: Volume-Based Correlation with Stroke Severity

Intraoperative MRI Assessment of the Tissue Damage during Laser Ablation of Hypothalamic Hamartoma

Evaluation of Pulmonary Nodules by Radiologists vs. Radiomics in Stand-Alone and Complementary CT and MRI

Relationship Between DWI-Based Acute Ischemic Stroke Volume, Location and Severity of Dysphagia

Evaluating Deep Learning-Based Commercial Software for Detecting Ischemic Lesions on DWI in Stroke Patients

Diagnostic Accuracy of Abbreviated Bi-Parametric MRI (a-bpMRI) for Prostate Cancer Detection and Screening: A Multi-Reader Study

Characterizing Breast Tumor Heterogeneity Through IVIM-DWI Parameters and Signal Decay Analysis

Magnetic Resonance Features of Liver Mucinous Colorectal Metastases: What the Radiologist Should Know

Acquisition Parameters Influence Diffusion Metrics Effectiveness in Probing Prostate Tumor and Age-Related Microstructure

A Multimodal MRI-Based Model for Colorectal Liver Metastasis Prediction: Integrating Radiomics, Deep Learning, and Clinical Features with SHAP Interpretation