Objective: To investigate the feasibility and evaluate the safety and effectiveness of Computed Tomography (CT) guidedI radioactive particle implantation for treating lymph node metastases in radioiodine-refractory differentiated thyroid cancer (RAIR-DTC). To verify the accuracy of the computerized three-dimensional treatment planning system (TPS) in treating lymph node metastasis usingI particle implantation at the dosimetric level.

Methods: A retrospective analysis was conducted on 42 patients with RAIR-DTC and lymph node metastases who were admitted to the General Hospital of the Northern Theater Command between December 2016 and January 2019. During this analysis, physicians utilized preoperative CT images to design an intraoperative plan using TPS. The dosimetric parameters of the postoperative plan were then compared to the preoperative plan. Additionally, this study examined the changes in tumor size and tumor-related marker Thyroglobulin (Tg) values in patients at 2, 6, and 12 months after the operation.

Results: The number ofI radioactive particles implanted in 42 patients was 226, with an average of 14.5 (range 2.0-30.0) particles implanted per lesion. The local remission rates were 97.62% (41/42), 88.10% (37/42), and 85.71% (36/42) at 2, 6, and 12 months postoperatively, respectively. The volume of the lesions was (4.44 ± 1.57) cm, (4.20 ± 1.70) cm, and (4.23 ± 1.77) cmat 2, 6, and 12 months after treatment, respectively, which significantly decreased from the preoperative baseline level of (6.87 ± 1.67) cm(-values: 9.466, 9.923, 7.566, all <0.05). The Tg levels were 15.95 (5.45, 73.93) μg/L, 8.90 (2.20, 39.21) μg/L, and 6.00 (1.93, 14.18) μg/L at 2, 6, and 12 months after treatment, respectively, which were significantly lower than the preoperative baseline levels of 53.50 (20.94, 222.92) μg/L ( values: -5.258, -5.009, -4.987, all < 0.001). Postoperatively, Delivered to 90% of the GTV(D) was slightly lower than the prescribed dose in 95.23% (40/42) of patients, but the difference was not statistically significant [(12,378.8 ± 3,182.0), (12,497.8 ± 1,686.4) cGy; =0.251, >0.05], and postoperative dose parameters delivered to 100% of the gross tumor volume (GTV)(D) (6,881.5 ± 1,381.8) cGy, the volume percentages of GTV receiving 150% of the prescribed dose(V (58.5 ± 18.40)%) were lower than the preoperative plan D (8,085.8 ± 2,330.0) cGy, V (66.5 ± 17.70)%; -value=8.913 and 3.032, both <0.05; the remaining indicators were not significantly different from the preoperative plan (the differences in the number of implanted particles, Planning Target Volume(PTV), the volume percentages of GTV receiving 100% of the prescribed dose(V), Homogeneity Index(HI)were not statistically significant ( = -0.593, -1.604, 1.493, -0.663, all >0.05).

Conclusion: Referring to the TPS preoperative plan, theI particle implantation therapy for RAIR-DTC lymph node metastasis can achieve the expected dose distribution, ensuring precise short-term local tumor control efficacy.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11233436PMC
http://dx.doi.org/10.3389/fonc.2024.1325987DOI Listing

Publication Analysis

Top Keywords

lymph node
20
node metastasis
12
particle implantation
12
preoperative plan
12
differentiated thyroid
8
treating lymph
8
node metastases
8
rair-dtc lymph
8
particles implanted
8
lymph
5

Similar Publications

Objectives: To assess the prognostic impact of adequate lymphadenectomy and determine the optimal nodal assessment for different clinical stages of lung cancer.

Methods: We retrospectively reviewed 1214 patients with clinical stage I-III non-small cell lung cancer who had preoperative PET/CT and curative surgery (2006-2017). Patients were categorized based on whether they had adequate [R0] or inadequate lymphadenectomy [R(un)].

View Article and Find Full Text PDF

Clinical significance of positron emission tomography-computed tomography in the classification of thymic tumors.

Interdiscip Cardiovasc Thorac Surg

March 2025

Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.

Objectives: This study aimed to explore the possibility of positron emission tomography/computed tomography (PET-CT) in identifying histological classification of thymic tumors.

Methods: Patients diagnosed as thymic tumors and accepted PET-CT scans were included. Thymic tumors were classified into three subgroups: low risk thymoma (A, AB and B1), high risk thymoma (B2, B3) and thymic carcinoma (TC).

View Article and Find Full Text PDF

Objectives: Compare oncologic outcomes between single-segment and multi-segment resections in patients with clinical stage IA1 and IA2 non-small cell lung cancer.

Methods: A retrospective review (2011-2022) was conducted using a prospectively maintained database. Patients undergoing anatomical segmentectomy for clinical stage IA ≤ 2 cm non-small cell lung cancers were included.

View Article and Find Full Text PDF

Objectives: To develop a deep learning (DL) model based on ultrasound (US) images of lymph nodes for predicting cervical lymph node metastasis (CLNM) in postoperative patients with differentiated thyroid carcinoma (DTC).

Methods: Retrospective collection of 352 lymph nodes from 330 patients with cytopathology findings between June 2021 and December 2023 at our institution. The database was randomly divided into the training and test cohort at an 8:2 ratio.

View Article and Find Full Text PDF

B cell depletion is an efficacious therapy for multiple sclerosis, but its long-term safety profile in the gastrointestinal tract has not been specifically studied. This is of importance because the gut is the largest reservoir of IgA in the body, which maintains gut homeostasis in part by regulating the composition of the gut microbiota. This was addressed by development of a prolonged B cell depletion model using human CD20 transgenic mice and B cell depletion with the anti-human CD20 antibodies rituximab, a humanized mouse monoclonal, and 2H7, the mouse precursor to ocrelizumab.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!