Progress in Low-LET Heavy Particle Therapy: Intracranial and Paracranial Tumors and Uveal Melanomas

1985 ◽  
Vol 8 ◽  
pp. S219 ◽  
Author(s):  
Mary Austin-Seymour ◽  
John E. Munzenrider ◽  
Michael Goitein ◽  
Richard Gentry ◽  
Evangelos Gragoudas ◽  
...  
Keyword(s):  
Heavy Particle ◽  
Particle Therapy ◽  
Uveal Melanomas

Progress in Low-LET Heavy Particle Therapy: Intracranial and Paracranial Tumors and Uveal Melanomas

1985 ◽  
Vol 104 (2) ◽  
pp. S219 ◽  
Author(s):  
Mary Austin-Seymour ◽  
John E. Munzenrider ◽  
Michael Goitein ◽  
Richard Gentry ◽  
Evangelos Gragoudas ◽  
...  
Keyword(s):  
Heavy Particle ◽  
Particle Therapy ◽  
Uveal Melanomas

Heavy Particle Therapy for Chordoma

2021 ◽  
pp. 265-287
Author(s):  
David J. Konieczkowski ◽  
Reiko Imai ◽  
Thomas F. DeLaney
Keyword(s):  
Heavy Particle ◽  
Particle Therapy

scholarly journals Promise and Pitfalls of Heavy-Particle Therapy

2014 ◽  
Vol 32 (26) ◽  
pp. 2855-2863 ◽  
Author(s):  
Timur Mitin ◽  
Anthony L. Zietman
Keyword(s):  
Radiation Therapy ◽  
Proton Beam ◽  
Heavy Particle ◽  
Proton Beam Therapy ◽  
Modern Medicine ◽  
Particle Therapy ◽  
Policy Debate ◽  
Public Attention ◽  
Particle Radiation ◽  
Number Of Treatment

Proton beam therapy, the most common form of heavy-particle radiation therapy, is not a new invention, but it has gained considerable public attention because of the high cost of installing and operating the rapidly increasing number of treatment centers. This article reviews the physical properties of proton beam therapy and focuses on the up-to-date clinical evidence comparing proton beam therapy with the more standard and widely available radiation therapy treatment alternatives. In a cost-conscious era of health care, the hypothetical benefits of proton beam therapy will have to be supported by demonstrable clinical gains. Proton beam therapy represents, through its scale and its cost, a battleground for the policy debate around managing expensive technology in modern medicine.

Combined hyperthermia and radiation suggest an alternative to heavy particle therapy for reduced oxygen enhancement ratios

Nature ◽  
1974 ◽  
Vol 251 (5475) ◽  
pp. 521-522 ◽  
Author(s):  
J. EUGENE ROBINSON ◽  
MORRIS J. WIZENBERG ◽  
WELTON A. MCCREADY
Keyword(s):  
Heavy Particle ◽  
Particle Therapy ◽  
Oxygen Enhancement

scholarly journals Heavy Particle Therapy in Acromegaly

1962 ◽  
Vol 58 (5) ◽  
pp. 337-347 ◽  
Author(s):  
J. H. Lawrence ◽  
C. A. Tobias ◽  
J. L. Born ◽  
Fr Sangalli ◽  
R. A. Carlson ◽  
...  
Keyword(s):  
Heavy Particle ◽  
Particle Therapy

scholarly journals Laparoscopic distal pancreatectomy for metastatic melanoma originating from the choroidal membrane: a case report

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Shigeaki Baba ◽  
Yuji Akiyama ◽  
Fumitaka Endo ◽  
Haruka Nikai ◽  
Ryo Sugimoto ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Malignant Melanoma ◽  
Metastatic Melanoma ◽  
Distal Pancreatectomy ◽  
Heavy Particle ◽  
Posterior Wall ◽  
Laparoscopic Distal Pancreatectomy ◽  
Particle Therapy ◽  
Pancreatic Metastasis ◽  
Term Survival

Abstract Background Metastatic melanoma originating from the choroidal membrane is extremely rare. Here, we report a case of laparoscopic distal pancreatectomy for malignant melanoma that developed after heavy-particle therapy for malignant choroidal melanoma. Case presentation A 43-year-old Japanese woman underwent 70 Gy heavy-particle radiotherapy for a right choroidal malignant melanoma. Positron emission tomography-computed tomography examination was performed 4 years after treatment, when contrast accumulation was observed on the posterior wall of the stomach. Endoscopic ultrasonography and computed tomography showed a mass with contrast enhancement in contact with the stomach wall. Based on the imaging findings, a gastrointestinal stromal tumor of the posterior wall of the lower gastric corpus with extramural growth was suspected. Laparoscopic surgery was performed under general anesthesia. A black-pigmented tumor originating from the pancreas was discovered. Following an intraoperative diagnosis of metastasis of malignant melanoma, a laparoscopic distal pancreatectomy was performed. The pathological diagnosis was pancreatic metastasis of malignant melanoma. The patient was treated with adjuvant immune checkpoint inhibitors and chemotherapy after surgery, which led to long-term survival. Conclusions Including this case, only eight case reports on pancreatic resection for metastatic ocular malignant melanoma have been reported. The ocular malignant melanoma with distant metastasis has a poor prognosis. Therefore, in our case, careful follow-up is required. A single pancreatic metastasis from a malignant melanoma of the choroid can be successfully managed by laparoscopic radical resection of the pancreas, and molecularly targeted adjuvant chemotherapy.

scholarly journals Proton and Heavy Particle Intracranial Radiosurgery

Biomedicines ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 31
Author(s):  
Eric J. Lehrer ◽  
Arpan V. Prabhu ◽  
Kunal K. Sindhu ◽  
Stanislav Lazarev ◽  
Henry Ruiz-Garcia ◽  
...  
Keyword(s):  
Organs At Risk ◽  
Heavy Particle ◽  
Particle Therapy ◽  
Carbon Ions ◽  
Dose Delivery ◽  
Linear Accelerators ◽  
Comprehensive Overview ◽  
Clinical Utilization ◽  
Close Proximity ◽  
Biological Effectiveness

Stereotactic radiosurgery (SRS) involves the delivery of a highly conformal ablative dose of radiation to both benign and malignant targets. This has traditionally been accomplished in a single fraction; however, fractionated approaches involving five or fewer treatments have been delivered for larger lesions, as well as lesions in close proximity to radiosensitive structures. The clinical utilization of SRS has overwhelmingly involved photon-based sources via dedicated radiosurgery platforms (e.g., Gamma Knife® and Cyberknife®) or specialized linear accelerators. While photon-based methods have been shown to be highly effective, advancements are sought for improved dose precision, treatment duration, and radiobiologic effect, among others, particularly in the setting of repeat irradiation. Particle-based techniques (e.g., protons and carbon ions) may improve many of these shortcomings. Specifically, the presence of a Bragg Peak with particle therapy at target depth allows for marked minimization of distal dose delivery, thus mitigating the risk of toxicity to organs at risk. Carbon ions also exhibit a higher linear energy transfer than photons and protons, allowing for greater relative biological effectiveness. While the data are limited, utilization of proton radiosurgery in the setting of brain metastases has been shown to demonstrate 1-year local control rates >90%, which are comparable to that of photon-based radiosurgery. Prospective studies are needed to further validate the safety and efficacy of this treatment modality. We aim to provide a comprehensive overview of clinical evidence in the use of particle therapy-based radiosurgery.

scholarly journals RARE-16. A NOVEL RADIOMICS MODEL DIFFERENTIATING CHORDOMA AND CHONDROSARCOMA

2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi224-vi225
Author(s):  
Erika Yamazawa ◽  
Satoshi Takahashi ◽  
Shota Tanaka ◽  
Wataru Takahashi ◽  
Takahiro Nakamoto ◽  
...  
Keyword(s):  
Machine Learning ◽  
Heavy Particle ◽  
Area Under The Curve ◽  
Learning Model ◽  
Particle Therapy ◽  
Recursive Feature Elimination ◽  
Average Value ◽  
Machine Learning Model ◽  
Number Of Patients ◽  
Occurrence Matrix

Abstract BACKGROUND Chordoma and chondrosarcoma account for the majority of skull base tumors affecting the petroclival region. Chondrosarcoma has better prognosis than chordoma; heavy particle therapy is often indicated for residual/recurrent chordoma. Preoperative, precise diagnosis of the tumor would be desirable, as it can potentially impact on the choice of a surgical approach and the aggressiveness of surgery. METHODS We conducted a radiomics study to create a machine learning model distinguishing chondrosarcoma from chordoma. We collected DICOM T2-weighted images and T1-weighted images with gadolinium (GdT1) enhancement in the consective patients of chordoma or chondrosarcoma who underwent surgery at The University of Tokyo Hospital from September of 2012 to January of 2019. We selected patients with uniform MRI images. VOI (volume of interest) was set using Monaco (https://www.elekta.com/software-solutions/treatment-management/external-beam-planning/monaco.html). Not only sematic features but also agnostic features were calculated. The original images and 8 wavelet transformed images were calculated for texture agnostic features such as Gray-Level Co-occurrence Matrix (GLCM). Features were selected by recursive feature elimination (RFE). The final model evaluation was performed by average area under the curve (AUC). RESULTS The study population included 17 chordomas and 22 chondrosarcomas in a total of 39 patients. 476 features were obtained per image sequence. The number of features per case was 476 × 2 = 952 The most accurate machine learning model was created using the extracted three features from only T2. The best AUC was 0.77 ± 0.11 in logistic regression (dataset was divided randomly into halves, average value of AUC calculated six times). CONCLUSIONS This novel machine learning model can differentiate chordoma and chondrosarcoma reasonably well. A validation study with a larger number of patients is warranted.

Heavy Particle Therapy in Acromegaly

1962 ◽  
Vol Original Series, Volume 58 (5) ◽  
pp. 337-347
Author(s):  
J. H. Lawrence ◽  
C. A. Tobias ◽  
J. L. Born ◽  
F. Sangalli ◽  
R. A. Carlson ◽  
...  
Keyword(s):  
Heavy Particle ◽  
Particle Therapy
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