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Update on the Diagnostic and Therapeutic Medical Imaging in Personalized...
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Special Issue "Update on the Diagnostic and Therapeutic Medical Imaging in Personalized Medicine"

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Methodology, Drug and Device Discovery".

Deadline for manuscript submissions: closed (25 June 2023) | Viewed by 1430

Special Issue Editors

Prof. Dr. Lijun Lu

E-Mail Website
Guest Editor
School of Biomedical Engineering, Southern Medical University, 1023 Shatai Road, Guangzhou 510515, China
Interests: medical imaging; radiomics; myocardial perfusion imaging; PET/CT; PET/MRI
Dr. Zhifeng Chen

E-Mail Website
Guest Editor
Department of Data Science & AI, Faculty of Information Technology, Melbourne, VIC 3168, Australia
Interests: inverse problems; image processing; medical imaging; image reconstruction; magnetic resonance imaging (MRI); computational imaging; quantitative MRI; deep learning image reconstruction and processing; DCE-MRI; MR Angiography
Dr. Jun Jiang

E-Mail Website
Guest Editor
Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
Interests: digital pathology; medical image analysis; machine learning; artificial intelligence; tumor microenvironment
Dr. Wenbing Lv

E-Mail Website
Guest Editor
Information School, Yunnan University, Kunming 650091, China
Interests: medical image analysis; head and neck cancer; PET/CT, radiomics

Special Issue Information

Dear Colleagues,

Medical imaging has been established as a powerful tool in oncology diagnosis owing to its capacity to providing anatomical or functional information. Conventional descriptive semi-quantitive assessments of tumor location, shape, and intensity is highly dependent on the experience of radiologists, may suffer from intra- and inter-observer variations. Recent advances in medical image analysis, machine learning, artificial intelligence, radiomics, and multi-modality imaging, etc. make it possible to develop high-throughput quantitative imaging biomarkers for tumor diagnosis and even prognosis, have shown great potential in personalized treatment decision-making.

This Special Issue in the Journal of Personalized Medicine invites papers that focus on the development of innovative medical imaging approaches for improved diagnosis, detection, classification, segmentation, treatment surveillance, and prognosis, and both review and original research articles are welcome. With the aim to translate personalized medicine research into clinical practice, we encourage any submissions dealing with the robustness, reproducibility, and generalization of advanced medical imaging approaches.

Prof. Dr. Lijun Lu
Dr. Zhifeng Chen
Dr. Jun Jiang
Dr. Wenbing Lv
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Personalized Medicine is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • multi-modality medical imaging
  • radiomics
  • diagnosis
  • prognosis
  • imaging biomarkers
  • oncology
  • treatment decision-making
  • medical image analysis
  • machine learning
  • artificial intelligence

Published Papers (1 paper)

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Systematic Review
Overdiagnosis Due to Screening Mammography for Breast Cancer among Women Aged 40 Years and Over: A Systematic Review and Meta-Analysis
by
Arwa F. Flemban
J. Pers. Med. 2023, 13(3), 523; https://doi.org/10.3390/jpm13030523 - 14 Mar 2023
Viewed by 1187
Abstract
The current systematic review and meta-analysis was conducted to estimate the incidence of overdiagnosis due to screening mammography for breast cancer among women aged 40 years and older. A PRISMA systematic search appraisal and meta-analysis were conducted. A systematic literature search of English [...] Read more.
The current systematic review and meta-analysis was conducted to estimate the incidence of overdiagnosis due to screening mammography for breast cancer among women aged 40 years and older. A PRISMA systematic search appraisal and meta-analysis were conducted. A systematic literature search of English publications in PubMed, Web of Science, EMBASE, Scopus, and Google Scholar was conducted without regard to the region or time period. Generic, methodological, and statistical data were extracted from the eligible studies. A meta-analysis was completed by utilizing comprehensive meta-analysis software. The effect size estimates were calculated using the fail-safe N test. The funnel plot and the Begg and Mazumdar rank correlation tests were employed to find any potential bias among the included articles. The strength of the association between two variables was assessed using Kendall’s tau. Heterogeneity was measured using the I-squared (I2) test. The literature search in the five databases yielded a total of 4214 studies. Of those, 30 articles were included in the final analysis, with sample sizes ranging from 451 to 1,429,890 women. The vast majority of the articles were retrospective cohort designs (24 articles). The age of the recruited women ranged between 40 and 89 years old. The incidence of overdiagnosis due to screening mammography for breast cancer among women aged 40 years and older was 12.6%. There was high heterogeneity among the study articles (I2 = 99.993), and the pooled event rate was 0.126 (95% CI: 15 0.101–0.156). Despite the random-effects meta-analysis showing a high degree of heterogeneity among the articles, the screening tests have to allow for a certain degree of overdiagnosis (12.6%) due to screening mammography for breast cancer among women aged 40 years and older. Furthermore, efforts should be directed toward controlling and minimizing the harmful consequences associated with breast cancer screening. Full article
(This article belongs to the Special Issue Update on the Diagnostic and Therapeutic Medical Imaging in Personalized Medicine)
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