PURPOSE: To quantify the cardiac dose reduction during breathing adapted radiotherapy using Real-time Position Management (RPM) system in the treatment of left-sided breast cancer. MATERIALS AND METHODS: Twenty-two patients with left-sided breast cancer underwent CT scans during breathing maneuvers including free breathing (FB), deep inspiration breath-hold (DIBH), and end inspiration breath-hold (EIBH). The RPM system was used to monitor respiratory motion, and the in-house self respiration monitoring (SRM) system was used for visual feedback. For each scan, treatment plans were generated and dosimetric parameters from DIBH and EIBH plans were compared to those of FB plans. RESULTS: All patients completed CT scans with different breathing maneuvers. When compared with FB plans, DIBH plans demonstrated significant reductions in irradiated heart volume and the heart V25, with the relative reduction of 71% and 70%, respectively (p < 0.001). EIBH plans also resulted in significantly smaller irradiated heart volume and lower heart V25 than FB plans, with the relative reduction of 39% and 37%, respectively (p = 0.002). Despite of significant expansion of lung volume using inspiration breath-hold, there were no significant differences in left lung V25 among the three plans. CONCLUSION: In comparison with FB, both DIBH and EIBH plans demonstrated a significant reduction of radiation dose to the heart. In the training course, SRM system was useful and effective in terms of positional reproducibility and patient compliance.
Breast Neoplasms* ; Cardiac Volume ; Feedback, Sensory ; Heart ; Humans ; Lung ; Patient Compliance ; Radiotherapy* ; Respiration* ; Tomography, X-Ray Computed

PURPOSE: This study examined self-efficacy, self-care behavior, posttraumatic growth, and quality of life in cancer patients and their levels by disease characteristics groups to identify patient groups that require psychosocial intervention. METHODS: We surveyed 107 patients using a structured questionnaire about the four factors and analyzed the factors by stratifying the patients by the period after the cancer diagnosis, by stage and by current treatment status. RESULTS: The mean score for self-efficacy was 37.78, and that for self-care behavior 49.96. Patients who were diagnosed less than one year ago scored higher on medication, a sub-category of self-care behavior, than the post-diagnosis period of 1~2 year group. The score was higher in the currently-treated group than the follow-up and distant metastasis groups. For posttraumatic growth, the mean was 56.17, and the factor was higher in the 1~2 year post-diagnosis group after than the less than one year group. The score was higher in the follow-up group than the currently-treated group. With regard to quality of life, the mean score was 25.79, and no significant correlation was found with disease characteristics. CONCLUSION: A shorter post-diagnosis period increased self-care behavior, and the greatest posttraumatic growth was reported by the 1~2 year post-diagnosis group. It may be necessary to provide cancer patients with an education program and other strategies less than one year after the diagnosis to improve self-efficacy and self-care behavior. To promote post-traumatic growth, it may be helpful to provide patients with psychosocial intervention within two years after the diagnosis.
Diagnosis ; Education ; Follow-Up Studies ; Humans ; Neoplasm Metastasis ; Quality of Life* ; Self Care* ; Stress, Psychological

Cutaneous angiosarcomas are uncommon malignancies which account about 1% of sarcomas. They are found most commonly in the head and neck regions, frequently on the scalp. Although preferred treatment has been combined surgery and postoperative radiation therapy, the extensiveness and multiplicity of the lesions set limits to such an approach and the patient is often referred for radiotherapy without surgery. As the entire scalp usually needs to be treated, radiation therapy is a challenging problem to radiation oncology staffs. We report a case of angiosarcoma of the scalp, which was treated successfully by radiation therapy with a simple and repeatable method using mixed photon and electron beam technique. Using a bolus to increase the surface dose of the scalp and to minimize dose to the normal tissues of the brain desirable but difficult technically to be well conformed o the three dimensional curved surface such as vertex of the head. A helmet made of thermoplastics filled with paraffin was elaborated and used for the treatment, resulting of the relatively uniform surface doses along the several points measured on the scalp, the difference among the points not exceeding 7% of the prescribed dose by TLD readings.
Brain ; Head ; Head Protective Devices ; Hemangiosarcoma* ; Humans ; Neck ; Paraffin ; Radiation Oncology ; Radiotherapy* ; Reading ; Sarcoma ; Scalp*

A 68-year-old male patient with a history of femoro-femoral bypass following unsuccessful intervention for chronic total iliac occlusion was found to have a saccular pseudoaneurysm of the right common iliac artery (CIA) due to interventional device-related injuries associated with the past endovascular intervention. An iatrogenic pseudoaneurysm in the CIA is generally asymptomatic, but it has a high risk of rupture, regardless of its size or symptoms. Endovascular therapy may be the best treatment option; however, ineffective sealing with a stent graft may lead to a type I endoleak. Under such conditions, use of the liquid embolic agent, Onyx, as a bailout solution for the type 1 endoleak is promising.
Aged ; Aneurysm ; Aneurysm, False ; Blood Vessel Prosthesis ; Endoleak ; Humans ; Iliac Artery ; Male ; Rupture ; Stents

We conducted comparative study on metabolizable energy content of extracts of angelica keiskei and its byproduct. Total six different groups consisting of five test groups treated with angelica keiskei and one control group were compared. Each of the five test groups were given 30% of one of whole plant, extracts, fermented of extracts, byproduct and extracts plus byproduct, respectively, mixed with AIN93M. After 3 days of adjustment period, all groups were subjected to 4 days of test period during which the amounts of feed intake and excretion were measured everyday. All feces were treated for the prevention of decomposition and changes before its energy content were measured using a bomb calorimeter. The amount of excretion was 4.8 +/- 0.3 g/rat/3 days in control group and 9.9-15.0 g/rat/3 days in the groups were added with extracts of angelica keiskei indicating that the angelica keiskei-treated groups produce 2-3 times more excretion. Metabolic energy of control diet was 4,133.3 kcal. This was found to be 15 to 20% higher compared with the metabolic energy content ranging from 3,117.0 kcal/kg (extracts of angelica keiskei) to 3,259.8 kcal/kg (extracts plus byproducts) angelica keiskei-treated groups. This is interpreted as the result of the decreased metabolic energy in the test diets were substituted with 30% of ngelica keiskei-treated ingredient which has low metabolic content itself. One notable finding is that the metabolic content of the group mixed with byproducts and extracts (1,763.0 kcal/kg) is 27% higher than that of extracts of angelica keiskei (1,286.8 kcal/kg) indicating that mechanical grinding increases the rate of digestion and absorption increasing, in turn, the energy content used in the body. The results of analysis of overall caloric absorption showed absorption rate in order of Whole plant < extracts < byproduct < extract plus byproduct < fermented of extract.
Absorption ; Angelica ; Bombs ; Diet ; Digestion ; Feces ; Plants

Objectives: Developing large language models (LLMs) in biomedicine requires access to high-quality training and alignment tuning datasets. However, publicly available Korean medical preference datasets are scarce, hindering the advancement of Korean medical LLMs. This study constructs and evaluates the efficacy of the Korean Medical Preference Dataset (KoMeP), an alignment tuning dataset constructed with an automated pipeline, minimizing the high costs of human annotation. Methods: KoMeP was generated using the DAHL score, an automated hallucination evaluation metric. Five LLMs (Dolly-v2-3B, MPT-7B, GPT-4o, Qwen-2-7B, Llama-3-8B) produced responses to 8,573 biomedical examination questions, from which 5,551 preference pairs were extracted. Each pair consisted of a “chosen” response and a “rejected” response, as determined by their DAHL scores. The dataset was evaluated when trained through two different alignment tuning methods, direct preference optimization (DPO) and odds ratio preference optimization (ORPO) respectively across five different models. The KorMedMCQA benchmark was employed to assess the effectiveness of alignment tuning. Results: Models trained with DPO consistently improved KorMedMCQA performance; notably, Llama-3.1-8B showed a 43.96% increase. In contrast, ORPO training produced inconsistent results. Additionally, English-to-Korean transfer learning proved effective, particularly for English-centric models like Gemma-2, whereas Korean-to-English transfer learning achieved limited success. Instruction tuning with KoMeP yielded mixed outcomes, which suggests challenges in dataset formatting. Conclusions KoMeP is the first publicly available Korean medical preference dataset and significantly improves alignment tuning performance in LLMs. The DPO method outperforms ORPO in alignment tuning. Future work should focus on expanding KoMeP, developing a Korean-native dataset, and refining alignment tuning methods to produce safer and more reliable Korean medical LLMs.

Objectives: Developing large language models (LLMs) in biomedicine requires access to high-quality training and alignment tuning datasets. However, publicly available Korean medical preference datasets are scarce, hindering the advancement of Korean medical LLMs. This study constructs and evaluates the efficacy of the Korean Medical Preference Dataset (KoMeP), an alignment tuning dataset constructed with an automated pipeline, minimizing the high costs of human annotation. Methods: KoMeP was generated using the DAHL score, an automated hallucination evaluation metric. Five LLMs (Dolly-v2-3B, MPT-7B, GPT-4o, Qwen-2-7B, Llama-3-8B) produced responses to 8,573 biomedical examination questions, from which 5,551 preference pairs were extracted. Each pair consisted of a “chosen” response and a “rejected” response, as determined by their DAHL scores. The dataset was evaluated when trained through two different alignment tuning methods, direct preference optimization (DPO) and odds ratio preference optimization (ORPO) respectively across five different models. The KorMedMCQA benchmark was employed to assess the effectiveness of alignment tuning. Results: Models trained with DPO consistently improved KorMedMCQA performance; notably, Llama-3.1-8B showed a 43.96% increase. In contrast, ORPO training produced inconsistent results. Additionally, English-to-Korean transfer learning proved effective, particularly for English-centric models like Gemma-2, whereas Korean-to-English transfer learning achieved limited success. Instruction tuning with KoMeP yielded mixed outcomes, which suggests challenges in dataset formatting. Conclusions KoMeP is the first publicly available Korean medical preference dataset and significantly improves alignment tuning performance in LLMs. The DPO method outperforms ORPO in alignment tuning. Future work should focus on expanding KoMeP, developing a Korean-native dataset, and refining alignment tuning methods to produce safer and more reliable Korean medical LLMs.

Objectives: Developing large language models (LLMs) in biomedicine requires access to high-quality training and alignment tuning datasets. However, publicly available Korean medical preference datasets are scarce, hindering the advancement of Korean medical LLMs. This study constructs and evaluates the efficacy of the Korean Medical Preference Dataset (KoMeP), an alignment tuning dataset constructed with an automated pipeline, minimizing the high costs of human annotation. Methods: KoMeP was generated using the DAHL score, an automated hallucination evaluation metric. Five LLMs (Dolly-v2-3B, MPT-7B, GPT-4o, Qwen-2-7B, Llama-3-8B) produced responses to 8,573 biomedical examination questions, from which 5,551 preference pairs were extracted. Each pair consisted of a “chosen” response and a “rejected” response, as determined by their DAHL scores. The dataset was evaluated when trained through two different alignment tuning methods, direct preference optimization (DPO) and odds ratio preference optimization (ORPO) respectively across five different models. The KorMedMCQA benchmark was employed to assess the effectiveness of alignment tuning. Results: Models trained with DPO consistently improved KorMedMCQA performance; notably, Llama-3.1-8B showed a 43.96% increase. In contrast, ORPO training produced inconsistent results. Additionally, English-to-Korean transfer learning proved effective, particularly for English-centric models like Gemma-2, whereas Korean-to-English transfer learning achieved limited success. Instruction tuning with KoMeP yielded mixed outcomes, which suggests challenges in dataset formatting. Conclusions KoMeP is the first publicly available Korean medical preference dataset and significantly improves alignment tuning performance in LLMs. The DPO method outperforms ORPO in alignment tuning. Future work should focus on expanding KoMeP, developing a Korean-native dataset, and refining alignment tuning methods to produce safer and more reliable Korean medical LLMs.

PURPOSE: To determine feasibility of RapidArc in sequential or simultaneous integrated tumor boost in whole brain radiation therapy (WBRT) for poor prognostic patients with four or more brain metastases. MATERIALS AND METHODS: Nine patients with multiple (> or =4) brain metastases were analyzed. Three patients were classified as class II in recursive partitioning analysis and 6 were class III. The class III patients presented with hemiparesis, cognitive deficit, or apraxia. The ratio of tumor to whole brain volume was 0.8-7.9%. Six patients received 2-dimensional bilateral WBRT, (30 Gy/10-12 fractions), followed by sequential RapidArc tumor boost (15-30 Gy/4-10 fractions). Three patients received RapidArc WBRT with simultaneous integrated boost to tumors (48-50 Gy) in 10-20 fractions. RESULTS: The median biologically effective dose to metastatic tumors was 68.1 Gy10 and 67.2 Gy10 and the median brain volume irradiated more than 100 Gy3 were 1.9% (24 cm3) and 0.8% (13 cm3) for each group. With less than 3 minutes of treatment time, RapidArc was easily applied to the patients with poor performance status. The follow-up period was 0.3-16.5 months. Tumor responses among the 6 patients who underwent follow-up magnetic resonance imaging were partial and stable in 3 and 3, respectively. Overall survival at 6 and 12 months were 66.7% and 41.7%, respectively. The local progression-free survival at 6 and 12 months were 100% and 62.5%, respectively. CONCLUSION: RapidArc as a component in whole brain radiation therapy for poor prognostic, multiple brain metastases is an effective and safe modality with easy application.
Apraxias ; Brain ; Disease-Free Survival ; Follow-Up Studies ; Humans ; Magnetic Resonance Imaging ; Neoplasm Metastasis ; Paresis ; Radiotherapy, Intensity-Modulated

PURPOSE: To report a case of chemical injury of the cornea caused by high-dose ethanol during orbital wall fracture repair. CASE SUMMARY: A 56-year-old male presented with pain after blowout fracture repair surgery. During the surgery, 2% hexethanol solution (2% chlorhexidine and 72% ethanol mixture), which was used for disinfection of the face, flowed into the left eye. Conjunctival injection in the left limbus, a large corneal epithelial defect, and severe stromal edema were subsequently observed. The patient was treated with topical antibiotics, steroids, and autologous serum eye drops. After 1 week, the corneal epithelial defect was improved, but at the second month of therapy, recurrent corneal erosion with deterioration of the endothelial cell function occurred. Anterior stromal puncture and laser keratectomy were performed. The corneal epithelial defect and erosion improved, but the endothelial cell density was severely decreased. CONCLUSIONS: The 2% hexethanol solution is usually used for preoperative skin disinfection, but it contains a high concentration of ethanol. The surgeon should be aware that high concentrations of ethanol may result in severe corneal damage, including corneal endothelial dysfunction and limbal cell deficiency.
Anti-Bacterial Agents ; Chlorhexidine ; Cornea ; Corneal Injuries ; Corneal Surgery, Laser ; Disinfection ; Edema ; Endothelial Cells ; Ethanol ; Humans ; Male ; Middle Aged ; Ophthalmic Solutions ; Orbit ; Punctures ; Skin ; Steroids