Quantification of Multi-Parametric Magnetic Resonance Imaging Based on Radiomics Analysis for Differentiation of Benign and Malignant Lesions of Prostate

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Koopaei Soheila; FATHI KAZEROONI ANAHITA; GHAFOORI MAHYAR; Alviri Mohamadreza; PASHAEI FAKHEREH; SALIGHEH RAD HAMIDREZA

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Biomedical Physics and Engineering Year:2023 | Volume:13 | Issue:3 Page(s): 251-260

Download Full-Text

View:

Download:

Cites:

Information Journal Paper

Title

Quantification of Multi-Parametric Magnetic Resonance Imaging Based on Radiomics Analysis for Differentiation of Benign and Malignant Lesions of Prostate

Author(s)

Keywords

Prostatic Neoplasms

Multiparametric Magnetic Resonance Imaging

Radiomics Fatures

Quantification Analysis

Abstract

Background: The most common cancer (non-cutaneous) malignancy among men is prostate cancer. Management of prostate cancer, including staging and treatment, playing an important role in decreasing mortality rates. Among all current diagnostic tools, multiparametric MRI (mp-MRI) has shown high potential in localizing and staging prostate cancer. Quantification of mp-MRI helps to decrease the dependency of diagnosis on readers’,opinions. Objective: The aim of this research is to set a method based on quantification of mp-MRI images for discrimination between benign and malignant prostatic lesions with fusion-guided MR imaging/transrectal ultrasonography biopsy as a pathology validation reference. Material and Methods: It is an analytical research that 27 patients underwent the mp-MRI examination, including T1-and T2-weighted and diffusion weighted imaging (DWI). Quantification was done by calculating radiomic features from mp-MRI images. Receiver-operating-characteristic curve was done for each feature to evaluate the discriminatory capacity and linear discriminant analysis (LDA) and leave-one-out cross-validation for feature filtering to estimate the sensitivity, specificity and accuracy of the benign and malignant lesion differentiation process is used. Results: An accuracy, sensitivity and specificity of 92. 6%, 95. 2% and 83. 3%, respectively, were achieved from a subset of radiomics features obtained from T2-weighted images and apparent diffusion coefficient (ADC) maps for distinguishing benign and malignant prostate lesions. Conclusion: Quantification of mp-MRI (T2-weighted images and ADC-maps) based on radiomics feature has potential to distinguish benign with appropriate accuracy from malignant prostate lesions. This technique is helpful in preventing needless biopsies in patients and provides an assisted diagnosis for classifications of prostate lesions.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

FATHI KAZEROONI, ANAHITA, GHAFOORI, MAHYAR, & Alviri, Mohamadreza. (2023). Quantification of Multi-Parametric Magnetic Resonance Imaging Based on Radiomics Analysis for Differentiation of Benign and Malignant Lesions of Prostate. JOURNAL OF BIOMEDICAL PHYSICS AND ENGINEERING, 13(3), 251-260. SID. https://sid.ir/paper/1100101/en

Vancouver: Copy

FATHI KAZEROONI ANAHITA, GHAFOORI MAHYAR, Alviri Mohamadreza. Quantification of Multi-Parametric Magnetic Resonance Imaging Based on Radiomics Analysis for Differentiation of Benign and Malignant Lesions of Prostate. JOURNAL OF BIOMEDICAL PHYSICS AND ENGINEERING[Internet]. 2023;13(3):251-260. Available from: https://sid.ir/paper/1100101/en

IEEE: Copy

ANAHITA FATHI KAZEROONI, MAHYAR GHAFOORI, and Mohamadreza Alviri, “Quantification of Multi-Parametric Magnetic Resonance Imaging Based on Radiomics Analysis for Differentiation of Benign and Malignant Lesions of Prostate,” JOURNAL OF BIOMEDICAL PHYSICS AND ENGINEERING, vol. 13, no. 3, pp. 251–260, 2023, [Online]. Available: https://sid.ir/paper/1100101/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops