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Special Issues
Application of Brachytherapy in Clinical Medicine
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Special Issue "Application of Brachytherapy in Clinical 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: 25 April 2024 | Viewed by 1279

Special Issue Editors

Dr. Liming Xu

E-Mail Website
Guest Editor
Department of Radiation Oncology, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
Interests: radiation oncology; brachytherapy; treatment planning; lung cancer; breast cancer; stereotype body radiation therapy (SBRT)
Dr. Minglei Kang

E-Mail Website
Guest Editor
New York Proton Center, New York, NY, USA
Interests: radiation therapy; brachytherapy; treatment planning; small-field dosimetry; lung cancer; stereotype body radiation therapy (SBRT); motion management; proton therapy

Special Issue Information

Dear Colleagues,

Brachytherapy is one of the most powerful tools oncologists can use to fight against cancers. It has been widely used in modern radiation therapy with proven efficacy for breast, cervical, esophageal, prostate, lung, soft-tissue sarcoma, and other cancers. Advanced imaging techniques allow the transition from 2D to 3D treatment planning. Image guidance facilitates the precision delivery of conformal doses to tumors for better normal tissue sparing. 

Brachytherapy alone or in conjunction with external radiotherapy are commonly applied for treating different cancers. This Special Issue will update the literature on the current practice of brachytherapy application in cancer therapy. 

The precise 3D treatment uses computed tomography (CT), magnetic resonance imaging (MRI), or ultrasound (US) to delineate targets and the surrounding critical organs at risk (OARs), prescribing doses to a volume instead of a reference dose point. Planning optimization can capitalize on the advantage of brachytherapy to treat tumors with an improved protection of OARs. Treatment planning systems (TPSs) use automatic segmentation or artificial intelligence (AI) to assist with catheter reconstruction, OAR delineation, and the choice of plan parameters. The improved treatment process allows image identification, target delineation, treatment planning, and delivery in a short time frame, providing a better experience for patients.

The Special Issue will accept research articles on brachytherapy-related novel treatment planning, clinical outcomes, clinical trials, image guidance, biological modeling, dose calculation, and radiation safety considerations. Literature reviews that focus on brachytherapy therapy topics are also welcome in this Special Issue.

Dr. Liming Xu
Dr. Minglei Kang
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

  • brachytherapy (BT)
  • image-guided brachytherapy (IGBT)
  • artificial intelligence (AI) in brachytherapy
  • applicator
  • LDR
  • HDR
  • cervical cancer
  • breast cancer
  • prostate cancer

Published Papers (1 paper)

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Research

11 pages, 5061 KiB  
Article
Applying Multi-Metric Deformable Image Registration for Dose Accumulation in Combined Cervical Cancer Radiotherapy
by
Qi Fu
,
Xin Xie
,
Yingjie Xu
,
Jing Zuo
,
Xi Yang
,
Wenlong Xia
,
Jusheng An
,
Manni Huang
,
Hui Yan
and
Jianrong Dai
J. Pers. Med. 2023, 13(2), 323; https://doi.org/10.3390/jpm13020323 - 13 Feb 2023
Viewed by 875
Abstract
(1) Purpose: Challenges remain in dose accumulation for cervical cancer radiotherapy combined with external beam radiotherapy (EBRT) and brachytherapy (BT) as there are many large and complex organ deformations between different treatments. This study aims to improve deformable image registration (DIR) accuracy with [...] Read more.
(1) Purpose: Challenges remain in dose accumulation for cervical cancer radiotherapy combined with external beam radiotherapy (EBRT) and brachytherapy (BT) as there are many large and complex organ deformations between different treatments. This study aims to improve deformable image registration (DIR) accuracy with the introduction of multi-metric objectives for dose accumulation of EBRT and BT. (2) Materials and methods: Twenty cervical cancer patients treated with EBRT (45–50 Gy/25 fractions) and high-dose-rate BT (≥20 Gy in 4 fractions) were included for DIR. The multi-metric DIR algorithm included an intensity-based metric, three contour-based metrics, and a penalty term. Nonrigid B-spine transformation was used to transform the planning CT images from EBRT to the first BT, with a six-level resolution registration strategy. To evaluate its performance, the multi-metric DIR was compared with a hybrid DIR provided by commercial software. The DIR accuracy was measured by the Dice similarity coefficient (DSC) and Hausdorff distance (HD) between deformed and reference organ contours. The accumulated maximum dose of 2 cc (D2cc) of the bladder and rectum was calculated and compared to simply addition of D2cc from EBRT and BT (ΔD2cc). (3) Results: The mean DSC of all organ contours for the multi-metric DIR were significantly higher than those for the hybrid DIR (p ≤ 0.011). In total, 70% of patients had DSC > 0.8 using the multi-metric DIR, while 15% of patients had DSC > 0.8 using the commercial hybrid DIR. The mean ΔD2cc of the bladder and rectum for the multi-metric DIR were 3.25 ± 2.29 and 3.54 ± 2.02 GyEQD2, respectively, whereas those for the hybrid DIR were 2.68 ± 2.56 and 2.32 ± 3.25 GyEQD2, respectively. The multi-metric DIR resulted in a much lower proportion of unrealistic D2cc than the hybrid DIR (2.5% vs. 17.5%). (4) Conclusions: Compared with the commercial hybrid DIR, the introduced multi-metric DIR significantly improved the registration accuracy and resulted in a more reasonable accumulated dose distribution. Full article
(This article belongs to the Special Issue Application of Brachytherapy in Clinical Medicine)
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