Fluorescence Fiberoptic Bronchoscopy in the Diagnosis of Early Stage Lung Cancer

Author(s):  
Y. Hayata ◽  
H. Kato ◽  
J. Ono ◽  
Y. Matsushima ◽  
N. Hayashi ◽  
...  
1996 ◽  
Vol 3 (2) ◽  
pp. 115-119
Author(s):  
Makoto Saito ◽  
Harubumi Kato ◽  
Chimori Konaka ◽  
Tetsuya Okunaka ◽  
Kinnya Furukawa ◽  
...  

A 54-year-old male was diagnosed as having synchronous quadruple early stage lung cancer. All four tumors showed the same histologic type of in-situ or microinvasive squamous cell carcinoma, but existed independently in different bronchi. Photodynamic therapy of these four lesions was successfully performed by fiberoptic bronchoscopy because of the patient's poor pulmonary function. The patient is alive and well 51 months later.


2021 ◽  
Vol 16 (3) ◽  
pp. S264-S265
Author(s):  
F. Xu ◽  
L. Yang ◽  
C. Liu ◽  
J. Ying ◽  
Y. Wang

Author(s):  
Guangyao Wu ◽  
Arthur Jochems ◽  
Turkey Refaee ◽  
Abdalla Ibrahim ◽  
Chenggong Yan ◽  
...  

Abstract Introduction Lung cancer ranks second in new cancer cases and first in cancer-related deaths worldwide. Precision medicine is working on altering treatment approaches and improving outcomes in this patient population. Radiological images are a powerful non-invasive tool in the screening and diagnosis of early-stage lung cancer, treatment strategy support, prognosis assessment, and follow-up for advanced-stage lung cancer. Recently, radiological features have evolved from solely semantic to include (handcrafted and deep) radiomic features. Radiomics entails the extraction and analysis of quantitative features from medical images using mathematical and machine learning methods to explore possible ties with biology and clinical outcomes. Methods Here, we outline the latest applications of both structural and functional radiomics in detection, diagnosis, and prediction of pathology, gene mutation, treatment strategy, follow-up, treatment response evaluation, and prognosis in the field of lung cancer. Conclusion The major drawbacks of radiomics are the lack of large datasets with high-quality data, standardization of methodology, the black-box nature of deep learning, and reproducibility. The prerequisite for the clinical implementation of radiomics is that these limitations are addressed. Future directions include a safer and more efficient model-training mode, merge multi-modality images, and combined multi-discipline or multi-omics to form “Medomics.”


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Seijiro Sato ◽  
Masaya Nakamura ◽  
Yuki Shimizu ◽  
Tatsuya Goto ◽  
Terumoto Koike ◽  
...  

1996 ◽  
Vol 2 (4) ◽  
pp. 203-206 ◽  
Author(s):  
Tetsuya Okunaka ◽  
Harubumi Kato ◽  
Chimori Konaka ◽  
Kinya Furukawa ◽  
Masahiko Harada ◽  
...  

Photodynamic therapy (PDT) utilizing Photofrin is proving to be effective for the treatment of early stage lung cancer. However, wider clinical applications of Photofrin as a photosensitizer for various cancers are hampered by potentially serious and prolonged skin photosensitivity. To prevent these side effects and reduce the hospitalization period, we recently gave reduced doses of Photofrin by bronchial arterial infusion. Five patients with endoscopically evaluated minimally invasive carcinoma of the lung were given 0.7 mg/kg of Photofrin by bronchial arterial infusion 48 hr before PDT. Complete remission was obtained in all 5 cases and no case showed skin photosensitivity when exposed to sunlight under careful surveillance at one week after PDT.


Sign in / Sign up

Export Citation Format

Share Document