Several randomized controlled trials have demonstrated the benefit of a boost to the tumor bed (TB) to reduce the risk of ipsilateral breast tumor recurrence. Recent technological progress has facilitated improved conformation of isodoses around the target volume. The accuracy and reproducibility of TB delineation have become even more essential. The purpose of this study is to review the extant knowledge on the boost delineation in breast cancer, focusing on interobserver variability (IOV) and the influence of various factors, such as the presence of clips or different imaging modalities to improve IOV. Most studies investigating IOV for boost delineation have shown poor reproducibility (with comparison indices such as the dice similarity index around 0.5). Clips in the lumpectomy cavity (LC), postoperative fluid accumulation in the LC and/or high cavity visualization score appeared to be associated with improved IOV. Likewise, the use of preoperative imaging (CT and/or MRI) may also be useful in improving the accuracy of TB definition but without any real gain in terms of IOV. Moreover, the delineation of boost has become even more challenging since the development of oncoplastic surgery. To improve the reproducibility and the accuracy of boost delineation, this review suggests that within each center, a group of multidisciplinary experts, including surgeons, radiation oncologists, pathologists, and radiologists, should convene to develop local guidelines, which may include the choice of preoperative imaging, the number and location of surgical clips, pathological margins, and orientation. The elaboration of contouring atlas is certainly of great assistance.
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http://dx.doi.org/10.1016/j.radonc.2022.03.010 | DOI Listing |
Front Oncol
February 2025
Department of Urology, Huaian Clinical College of Xuzhou Medical University, Huai'an, China.
Background: Bone metastasis is a serious complication following radical prostatectomy in prostate cancer patients, significantly affecting their long-term survival. This study aims to develop a clinical predictive model utilizing Magnetic Resonance Imaging (MRI) and advanced machine learning algorithms to identify key factors that increase the risk of bone metastasis (BM).
Patients And Methods: The study analyzed a cohort of 1161 prostate cancer patients, including 38 who developed bone metastasis.
Anim Biosci
February 2025
Jiangsu normal university, Xuzhou, China.
Objective: Leucyl-tRNA synthetase (LARS) is an essential multifunctional enzyme in mammals, pivotal in maintaining cellular protein and amino acid equilibrium. It facilitates tRNA aminoacylation, initiating intracellular protein synthesis, and serves as an intracellular leucine sensor. This sensor function enables LARS to activate the mTORC1 pathway via Rag GTPase binding, playing a critical role in protein synthesis regulation.
View Article and Find Full Text PDFSemin Arthritis Rheum
February 2025
Dept. Of Rheumatology, Leiden University Medical Center, 2333, ZA, Leiden, The Netherlands. Electronic address:
Many autoimmune diseases respond well to therapies targeting B cells, emphasizing the importance of autoreactive B cells in disease induction and progression. In some cases, autoantibodies from plasma cells are the main effectors, while in others, memory B cells are thought to modulate inflammatory responses through antigen presentation or cytokine secretion. Tolerance mechanisms usually prevent the development of autoantibodies, but when these systems fail, autoimmunity and subsequent autoimmune diseases can arise.
View Article and Find Full Text PDFStrahlenther Onkol
March 2025
Department of Radiation Oncology, University Hospital Halle (Saale), Ernst-Grube-Str. 40, 06120, Halle (Saale), Germany.
Background: Progression-free (PFS) and overall survival (OS) in UICC stage III non-small cell lung cancer (NSCLC) after definitive concurrent chemoradiotherapy (CRT) can be increased with consolidating immunotherapy. Recent studies have shown a strong predictive value of gross tumor volume (GTV) changes during CRT on OS. The TORCH trial investigated the prognostic impact of GTV changes during CRT as a predictor for a response to immunotherapy.
View Article and Find Full Text PDFClin Breast Cancer
February 2025
Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China. Electronic address:
Purpose: To investigate the feasibility of characterizing tumor heterogeneity in breast cancer ultrasound images using habitat analysis technology and establish a radiomics machine learning model for predicting response to neoadjuvant chemotherapy (NAC).
Methods: Ultrasound images from patients with pathologically confirmed breast cancer who underwent neoadjuvant therapy at our institution between July 2021 and December 2023 were retrospectively reviewed. Initially, the region of interest was delineated and segmented into multiple habitat areas using local feature delineation and cluster analysis techniques.
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