Dosiomics in the analysis of medical images and prospects for its use in clinical practice

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Abstract

BACKGROUND: In recent years, there has been a notable increase in the number of articles using the term “dosiomics”. However, there are no literature reviews on this topic in the Russian language.

AIM: This study aims to describe the basic principles of dosiomics as a derivative of radiomics and to analyze studies devoted to assessing the possibilities of its application in clinical practice.

MATERIALS AND METHODS: A systematic literature search was performed in the PubMed database using the search query “dosiomics OR dosiomic”, and in the eLibrary database using the search query “dosiomics”. By April 2023, 43 foreign articles and 1 Russian article had been published.

RESULTS: The analysis encompassed 43 foreign studies investigating the use of dosiomics in clinical practice, alongside one Russian article that provided a definition of the term “dosiomics”. The analyzed papers were divided into three groups according to their subject matter, and two tables describing the results of 27 studies on the prediction of clinical outcomes were created.

CONCLUSION: Currently, dosiomics is a new and promising derivative of radiomics used in the textural analysis of medical images associated with radiation treatment of cancer patients. Dosiomics can contribute to the development of a more personalized approach to the planning of radiotherapy, the prediction of radiation damage of normal tissues, and the diagnosis of recurrence.

About the authors

Vladimir A. Solodkiy

Russian Scientific Center of Roentgenoradiology

Email: direktor@rncrr.ru
ORCID iD: 0000-0002-1641-6452
SPIN-code: 9556-6556

MD, Dr. Sci. (Med.), Professor

Russian Federation, Moscow

Nikolay V. Nudnov

Russian Scientific Center of Roentgenoradiology

Author for correspondence.
Email: nudnov@rncrr.ru
ORCID iD: 0000-0001-5994-0468
SPIN-code: 3018-2527

MD, Dr. Sci. (Med.), Professor

Russian Federation, Moscow

Mikhail E. Ivannikov

Russian Scientific Center of Roentgenoradiology

Email: ivannikovmichail@gmail.com
ORCID iD: 0009-0007-0407-0953
Russian Federation, Moscow

Elina S-A. Shakhvalieva

Russian Scientific Center of Roentgenoradiology

Email: shelina9558@gmail.com
ORCID iD: 0009-0000-7535-8523
Russian Federation, Moscow

Vladimir M. Sotnikov

Russian Scientific Center of Roentgenoradiology

Email: vmsotnikov@mail.ru
ORCID iD: 0000-0003-0498-314X
SPIN-code: 3845-0154

MD, Dr. Sci. (Med.), Professor

Russian Federation, Moscow

Aleksei Yu. Smyslov

Russian Scientific Center of Roentgenoradiology

Email: smyslov.ay@gmail.com
ORCID iD: 0000-0002-6409-6756
SPIN-code: 9341-0037

Cand. Sci. (Engin.)

Russian Federation, Moscow

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2. Fig. 1. Stages of extraction and analysis of radiomics features.

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3. Fig. 2. Example of calculating GLCM parameters: three pairs of neighboring pixels with intensity levels 4 and 1 (highlighted in green).

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4. Fig. 3. An example of calculating GLRLM parameters: there is one group of three pixels with the same gray-level (3), located sequentially (highlighted in orange).

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5. Fig. 4. Example of calculating GLSZM parameters: there is one zone consisting of four pixels with a gray-level of 2 (highlighted in green).

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6. Fig. 5. Texture analysis of a 3D model of radiation dose distribution to the rectal area: (a) 3D dose distribution in the rectum, (b) gray-level frequency histogram, (c) GLCM, (d) GLRLM, (e) GLSZM, and (f) NGTDM.

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