
doi: 10.1007/bf01210545
pmid: 7604160
The potential of heavy ion therapy for clinical use in cancer therapy stems from the biological parameters of heavy charged particles and their precise dose localization. Biologically, carbon, neon, and other heavy ion beams (up to about silicon) are clinically useful in overcoming the radioresistance of hypoxic tumors, thus increasing the biological effectiveness relative to low linear energy transfer x-ray or electron beams. Cells irradiated by heavy ions show less variation in cell-cycle-related radiosensitivity and decreased repair of radiation injury. The physical parameters of these heavy charged particles allow precise delivery of high doses to tumors while minimizing irradiation of normal tissues. Clinical use requires a close interaction between radiation oncologists, medical physicists, accelerator physicists, engineers, computer scientists, and radiation biologists.
Male, Clinical Trials, Phase I as Topic, Radiotherapy, Radiation Doses, External Radiation In Therapy, Prostatic Neoplasms, Bone Neoplasms, Sarcoma, Salivary Gland Neoplasms, Tumor Cells, Clinical Trials, Phase II as Topic, Bile Duct Neoplasms, Neoplasms, Humans, Rbe 550603, Heavy Ions, Linear Energy Transfer, 62 Radiology And Nuclear Medicine
Male, Clinical Trials, Phase I as Topic, Radiotherapy, Radiation Doses, External Radiation In Therapy, Prostatic Neoplasms, Bone Neoplasms, Sarcoma, Salivary Gland Neoplasms, Tumor Cells, Clinical Trials, Phase II as Topic, Bile Duct Neoplasms, Neoplasms, Humans, Rbe 550603, Heavy Ions, Linear Energy Transfer, 62 Radiology And Nuclear Medicine
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 109 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
