Synchrotron nanoscopy imaging study of scalp hair in breast cancer patients and healthy individuals: Difference in medulla loss and cortical membrane enhancements
Autor: | Young Ju Jeong, Jong Ki Kim, Sung Hwan Park, Jun Lim, Sanghoon Jheon, Jae Kun Jeon, Hong-Tae Kim, Sung Mi Han, Jun Ichi Chikawa, Min Young Hwang |
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Rok vydání: | 2015 |
Předmět: |
Pathology
medicine.medical_specialty Histology law.invention 03 medical and health sciences 0302 clinical medicine Breast cancer law medicine Instrumentation Medulla integumentary system business.industry Cancer Imaging study 030206 dentistry Anatomy medicine.disease Synchrotron Medical Laboratory Technology medicine.anatomical_structure 030220 oncology & carcinogenesis Scalp Healthy individuals Screening breast cancer business |
Zdroj: | Microscopy Research and Technique. 79:23-30 |
ISSN: | 1059-910X |
DOI: | 10.1002/jemt.22601 |
Popis: | Nanoscopic synchrotron X-ray imaging was performed on scalp hair samples of patients with breast cancer and healthy individuals to investigate any structural differences as diagnostic tool. Hair strands were divided into 2-3 segments along the strands from root to tip, followed by imaging either in projection or in CT scanning with a monochromatic 6.78-keV X-ray using zone-plate optics with a resolving power of 60 nm. All the examined cancer hairs exhibited medulla loss with cancer stage-dependent pattern; complete loss, discontinuous or trace along the strands. In contrast, medullas were well retained without complete loss in the healthy hair. In the CT-scanned axial images, the cortical spindle compartments had no contrast in the healthy hair, but appeared hypointense in contrast to the surrounding hyperintense cortical membrane complex in the cancer hair. In conclusion, observation of medulla loss and cortical membrane enhancements in the hair strands of breast cancer patients demonstrated structural variations in the cancer hair, providing a new platform for further synchrotron X-ray imaging study of screening breast cancer patients. |
Databáze: | OpenAIRE |
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