1.Tapping with plum-blossom needle combined with sulfur ointment and local irradiation for primary cutaneous amyloidosis: a case report.
Fasen DENG ; Xiao CHEN ; Weijuan ZHENG ; Ziyang HE ; Xinsheng CHEN
Chinese Acupuncture & Moxibustion 2025;45(12):1800-1802
The paper reports one case of primary cutaneous amyloidosis (PCA) treated by tapping with plum-blossom needle combined with sulfur ointment and local irradiation. PCA in this case was manifested as generalized erythema, papules, plaques, lichenification, and severe pruritus. In treatment, tapping with plum-blossom needle was delivered at typical lesions to induce local congestion, redness, and minimal bleeding. After cleaned with sterile gauze for 10 s, 25% sulfur ointment was evenly applied, followed by local irradiation with a TDP lamp for 15 min. This session was repeated twice a week. In 1 month of treatment, the lesions turned flat and the skin was soft as the normal, with pigmentation and mild pruritus left. In 3 months of follow-up, no papules recurred, and mild pruritus presented occasionally.
Humans
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Ointments/administration & dosage*
;
Sulfur/administration & dosage*
;
Skin Diseases, Genetic/radiotherapy*
;
Middle Aged
;
Amyloidosis, Familial/radiotherapy*
;
Male
;
Acupuncture Therapy/instrumentation*
;
Female
;
Combined Modality Therapy
2.Evaluation of Clinical Practicability of Hybrid Automatic Treatment Planning for Nasopharyngeal Carcinoma.
Enwei MO ; Lei YU ; Jiyou PENG ; Long YANG ; Jiazhou WANG ; Weigang HU
Chinese Journal of Medical Instrumentation 2025;49(1):55-60
OBJECTIVE:
Automatic planning is a commonly used alternative to manual planning. This study evaluated the clinical performance of automatic plans available in commercial treatment planning systems for nasopharyngeal carcinoma (NPC) treatment by comparing automatic planning with manual planning.
METHODS:
A total of 14 patients with nasopharyngeal carcinoma were enrolled in the study. For each patient, three different sets of clinical goals were used to generate three hybrid automatic plans based on 3D dose distribution prediction and three automatic plans based on script, respectively, which were compared with the manual plans used in clinic.
RESULTS:
The dose coverage performance of the automatic planning based on 3D dose distribution prediction on the planning target volume (PTV) was comparable to that of the manual planning. Automatic planning based on 3D dose prediction achieved the level of manual planning in most organs at risk. However, automatic planning based on scripts did not perform well in the prediction of some organs at risk, especially the parotid gland.
CONCLUSION
The hybrid automatic plan based on 3D dose distribution prediction can reach the level of manual planning and have good robustness with the change of clinical objective.
Humans
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Nasopharyngeal Neoplasms/radiotherapy*
;
Radiotherapy Planning, Computer-Assisted/methods*
;
Nasopharyngeal Carcinoma
;
Male
;
Female
;
Middle Aged
;
Adult
;
Carcinoma
;
Radiotherapy Dosage
3.Method of Reducing Low-Dose Lung Volume in VMAT on Central Lung Cancer Planning.
Haojia ZHANG ; Yi ZHANG ; Haijie JIN ; Shihu YOU ; Jiaying GAN ; Yinxiang HU
Chinese Journal of Medical Instrumentation 2025;49(2):181-185
OBJECTIVE:
To study effective methods for reducing lung V5, V10, and mean lung dose (MLD) in the design of volumetric modulated arc therapy for central lung cancer by using different arc configurations and dose-limiting blocks designs.
METHODS:
Five groups of plans were designed for the enrolled patients. Group A used a full-arc field. Group B used a partial-arc field. Groups C, D, and E used full-arc fields with vertical-length, semi-ring, and triangular dose-limiting blocks added respectively. The dosimetric similarities of target areas and the dosimetric differences in lung V5, V10, V20, and MLD among the groups were compared.
RESULTS:
Compared with group A, groups B, C, D, and E had decreased homogeneity and conformity of the target area, but significantly lower V5 and V10 of the whole lung. The MLD of groups C, D, and E was lower than that of group A.
CONCLUSION
Using a full-arc field combined with dose-limiting blocks can effectively reduce lung V5, V10, MLD, and monitor units (MU).
Lung Neoplasms/radiotherapy*
;
Humans
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Radiotherapy, Intensity-Modulated/methods*
;
Radiotherapy Planning, Computer-Assisted/methods*
;
Radiotherapy Dosage
;
Lung/radiation effects*
4.Accuracy Assessment of Cone-Beam CT Images for Pelvic Tumor Dose Calculation.
Bao LI ; Yongzhong CHEN ; Jun JIN ; Longjun YAN ; Xiaoyong WANG
Chinese Journal of Medical Instrumentation 2025;49(3):302-307
OBJECTIVE:
To evaluate the feasibility and accuracy of cone-beam CT (CBCT) images for radiotherapy dose calculation in pelvic tumors.
METHODS:
An improved volumetric density coverage method was used to establish CT value-relative electron density (RED) curves for CBCT images. The planning CT plans were transferred to the CBCT images, and the constructed density curves were applied to calculate doses for CBCT plans while maintaining the optimization parameters unchanged. Dose calculation deviations between the two plans were analyzed.
RESULTS:
The mean differences in dosimetric parameters for the target volume and organs at risk (OAR) between the two plans were less than 1% and 1.5%, respectively. The target conformity index (CI), homogeneity index (HI), and gamma passing rates were highly consistent, with no statistically significant differences.
CONCLUSION
CBCT images corrected by this method can be used for dose calculation in pelvic tumor radiotherapy planning.
Cone-Beam Computed Tomography/methods*
;
Humans
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Radiotherapy Planning, Computer-Assisted/methods*
;
Radiotherapy Dosage
;
Pelvic Neoplasms/diagnostic imaging*
5.Estimation of Primary Electron Beam Parameters of Individual Linear Accelerator Using Monte Carlo Method.
Yisong HE ; Hang YU ; Yuchuan FU ; Jinyou HU ; Lian ZOU
Chinese Journal of Medical Instrumentation 2025;49(4):375-382
OBJECTIVE:
To estimate the primary electron beam parameters (PEB), including energy, radial intensity distribution and average angular divergence, of the individual linear accelerator using the Monte Carlo method.
METHODS:
A model of the treatment head and a standard field were built by BEAMnrc, and the dose distribution was simulated in water phantoms by DOSXYZnrc to obtain the percentage depth dose curve and off-axis ratio. By debugging the parameters mentioned above until the simulation and measurement results could match.
RESULTS:
The simulation and measurement results could achieve the best match when the parameters mentioned above were 6.25 MeV, 0.95 mm and 0.1° respectively.
CONCLUSION
The PEB of a linear accelerator could have a significant impact on the output beam characteristics. Monte Carlo estimation is one of the most crucial steps in establishing an individual linear accelerator model.
Monte Carlo Method
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Particle Accelerators
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Electrons
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Radiotherapy Dosage
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Phantoms, Imaging
6.PE-CycleGAN network based CBCT-sCT generation for nasopharyngeal carsinoma adaptive radiotherapy.
Yadi HE ; Xuanru ZHOU ; Jinhui JIN ; Ting SONG
Journal of Southern Medical University 2025;45(1):179-186
OBJECTIVES:
To explore the synthesis of high-quality CT (sCT) from cone-beam CT (CBCT) using PE-CycleGAN for adaptive radiotherapy (ART) for nasopharyngeal carcinoma.
METHODS:
A perception-enhanced CycleGAN model "PE-CycleGAN" was proposed, introducing dual-contrast discriminator loss, multi-perceptual generator loss, and improved U-Net structure. CBCT and CT data from 80 nasopharyngeal carcinoma patients were used as the training set, with 7 cases as the test set. By quantifying the mean absolute error (MAE), peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), as well as the dose gamma pass rate and the relative dose deviations of the target area and organs at risk (OAR) between sCT and reference CT, the image quality and dose calculation accuracy of sCT were evaluated.
RESULTS:
The MAE of sCT generated by PE-CycleGAN compared to the reference CT was (56.89±13.84) HU, approximately 30% lower than CBCT's (81.06±15.86) HU (P<0.001). PE-CycleGAN's PSNR and SSIM were 26.69±2.41dB and 0.92±0.02 respectively, significantly higher than CBCT's 21.54±2.37dB and 0.86±0.05 (P<0.001), indicating substantial improvements in image quality and structural similarity. In gamma analysis, under the 2 mm/2% criterion, PE-CycleGAN's sCT achieved a pass rate of (90.13±3.75)%, significantly higher than CBCT's (81.65±3.92)% (P<0.001) and CycleGAN's (87.69±3.50)% (P<0.05). Under the 3 mm/3% criterion, PE-CycleGAN's sCT pass rate of (90.13±3.75)% was also significantly superior to CBCT's (86.92±3.51)% (P<0.001) and CycleGAN's (94.58±2.23)% (P<0.01). The mean relative dose deviation of the target area and OAR between sCT and planned CT was within ±3% for all regions, except for the Lens Dmax (Gy), which had a deviation of 3.38% (P=0.09). The mean relative dose deviations for PTVnx HI, PTVnd HI, PTVnd CI, PTV1 HI, PRV_SC, PRV_BS, Parotid, Larynx, Oral, Mandible, and PRV_ON were all less than ±1% (P>0.05).
CONCLUSIONS
PE-CycleGAN demonstrates the ability to rapidly synthesize high-quality sCT from CBCT, offering a promising approach for CBCT-guided adaptive radiotherapy in nasopharyngeal carcinoma.
Humans
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Cone-Beam Computed Tomography/methods*
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Nasopharyngeal Neoplasms/diagnostic imaging*
;
Nasopharyngeal Carcinoma/radiotherapy*
;
Radiotherapy Planning, Computer-Assisted/methods*
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Radiotherapy Dosage
;
Signal-To-Noise Ratio
;
Radiotherapy, Intensity-Modulated
7.Prognosis-guided optimization of intensity-modulated radiation therapy plans for lung cancer.
Huali LI ; Ting SONG ; Jiawen LIU ; Yongbao LI ; Zhaojing JIANG ; Wen DOU ; Linghong ZHOU
Journal of Southern Medical University 2025;45(3):643-649
OBJECTIVES:
To propose a new method for optimizing radiotherapy planning for lung cancer by incorporating prognostic models that take into account individual patient information and assess the feasibility of treatment planning optimization directly guided by minimizing the predicted prognostic risk.
METHODS:
A mixed fluence map optimization objective was constructed, incorporating the outcome-based objective and the physical dose constraints. The outcome-based objective function was constructed as an equally weighted summation of prognostic prediction models for local control failure, radiation-induced cardiac toxicity, and radiation pneumonitis considering clinical risk factors. These models were derived using Cox regression analysis or Logistic regression. The primary goal was to minimize the outcome-based objective with the physical dose constraints recommended by the clinical guidelines. The efficacy of the proposed method for optimizing treatment plans was tested in 15 cases of non-small cell lung cancer in comparison with the conventional dose-based optimization method (clinical plan), and the dosimetric indicators and predicted prognostic outcomes were compared between different plans.
RESULTS:
In terms of the dosemetric indicators, D95% of the planning target volume obtained using the proposed method was basically consistent with that of the clinical plan (100.33% vs 102.57%, P=0.056), and the average dose of the heart and lungs was significantly decreased from 9.83 Gy and 9.50 Gy to 7.02 Gy (t=4.537, P<0.05) and 8.40 Gy (t=4.104, P<0.05), respectively. The predicted probability of local control failure was similar between the proposed plan and the clinical plan (60.05% vs 59.66%), while the probability of radiation-induced cardiac toxicity was reduced by 1.41% in the proposed plan.
CONCLUSIONS
The proposed optimization method based on a mixed objective function of outcome prediction and physical dose provides effective protection against normal tissue exposure to improve the outcomes of lung cancer patients following radiotherapy.
Humans
;
Lung Neoplasms/radiotherapy*
;
Radiotherapy Planning, Computer-Assisted/methods*
;
Prognosis
;
Radiotherapy, Intensity-Modulated/methods*
;
Carcinoma, Non-Small-Cell Lung/radiotherapy*
;
Radiotherapy Dosage
;
Female
;
Male
;
Middle Aged
8.Analysis of risk factors of radiation-induced toxicity in limited-stage small cell lung cancer treated with hypofractionated intensity-modulated radiotherapy.
Jing Jing ZHAO ; Nan BI ; Tao ZHANG ; Jian Yang WANG ; Lei DENG ; Xin WANG ; Dong Fu CHEN ; Jian Rong DAI ; Luhua WANG
Chinese Journal of Oncology 2023;45(7):627-633
Objective: To compare the incidence of radiation-related toxicities between conventional and hypofractionated intensity-modulated radiation therapy (IMRT) for limited-stage small cell lung cancer (SCLC), and to explore the risk factors of hypofractionated radiotherapy-induced toxicities. Methods: Data were retrospectively collected from consecutive limited-stage SCLC patients treated with definitive concurrent chemoradiotherapy in Cancer Hospital of Chinese Academy of Medical Sciences from March 2016 to April 2022. The enrolled patients were divided into two groups according to radiation fractionated regimens. Common Terminology Criteria for Adverse Events (CTCAE, version 5.0) was used to evaluate the grade of radiation esophagus injuries and lung injuries. Logistic regression analyses were used to identify factors associated with radiation-related toxicities in the hypofractionated radiotherapy group. Results: Among 211 enrolled patients, 108 cases underwent conventional IMRT and 103 patients received hypofractionated IMRT. The cumulative incidences of acute esophagitis grade ≥2 [38.9% (42/108) vs 35.0% (36/103), P=0.895] and grade ≥ 3 [1.9% (2/108) vs 5.8% (6/103), P=0.132] were similar between conventional and hypofractionated IMRT group. Late esophagus injuries grade ≥2 occurred in one patient in either group. No differences in the cumulative incidence of acute pneumonitis grade ≥2[12.0% (13/108) vs 5.8% (6/103), P=0.172] and late lung injuries grade ≥2[5.6% (6/108) vs 10.7% (11/103), P=0.277] were observed. There was no grade ≥3 lung injuries occurred in either group. Using multiple regression analysis, mean esophageal dose ≥13 Gy (OR=3.33, 95% CI: 1.23-9.01, P=0.018) and the overlapping volume between planning target volume (PTV) and esophageal ≥8 cm(3)(OR=3.99, 95% CI: 1.24-12.79, P=0.020) were identified as the independent risk factors associated with acute esophagitis grade ≥2 in the hypofractionated radiotherapy group. Acute pneumonitis grade ≥2 was correlated with presence of chronic obstructive pulmonary disease (COPD, P=0.025). Late lung injuries grade ≥2 was correlated with tumor location(P=0.036). Conclusions: Hypofractionated IMRT are tolerated with manageable toxicities for limited-stage SCLC patients treated with IMRT. Mean esophageal dose and the overlapping volume between PTV and esophageal are independently predictive factors of acute esophagitis grade ≥2, and COPD and tumor location are valuable factors of lung injuries for limited-stage SCLC patients receiving hyofractionated radiotherapy. Prospective studies are needed to confirm these results.
Humans
;
Small Cell Lung Carcinoma/pathology*
;
Lung Neoplasms/pathology*
;
Radiotherapy, Intensity-Modulated/methods*
;
Retrospective Studies
;
Lung Injury
;
Radiotherapy Dosage
;
Radiation Injuries/epidemiology*
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Esophagitis/epidemiology*
;
Risk Factors
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Pulmonary Disease, Chronic Obstructive/complications*
10.Application of PET-LINAC in Biology-guided Radiotherapy.
Xin YANG ; Wei ZHAO ; Xinzhi TIAN ; Jun CAI ; Siwei XIE ; Qi LIU ; Hao PENG ; Qiyu PENG
Chinese Journal of Medical Instrumentation 2023;47(3):237-241
Biology-guided radiotherapy (BgRT) is a novel technique of external beam radiotherapy, combining positron emission tomography-computed tomography (PET-CT) with a linear accelerator (LINAC). The key innovation is to utilize PET signals from tracers in tumor tissues for real-time tracking and guiding beamlets. Compared with a traditional LINAC system, a BgRT system is more complex in hardware design, software algorithm, system integration and clinical workflow. RefleXion Medical has developed the world's first BgRT system. Nevertheless, its actively advertised function, PET-guided radiotherapy, is still in the research and development phase. In this review study, we presented a number of issues related to BgRT, including its technical advantages and potential challenges.
Positron Emission Tomography Computed Tomography
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Radiotherapy Planning, Computer-Assisted/methods*
;
Algorithms
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Particle Accelerators
;
Biology
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Radiotherapy, Image-Guided/methods*
;
Radiotherapy Dosage

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