Laryngeal cancer was selected because studies of whole-organ sections of the larynx have contributed most to the evolution of laryngeal cancer treatment 9, 10, 11, 12, 13, 14 and laryngeal cancer is unique because of its complicated spatial structure and multiple tissue types. ![]() We took advantage of recent progress in laboratory techniques of whole-organ sectioning, whole-slide imaging systems, and improved light microscopic image reconstruction. Using the dataset, we established 3D models with different resolutions to highlight the clinical application in terms of detailed anatomical relationships, tumor heterogeneity, proliferation and the cancer host interface. ![]() Here, we obtained the dataset of an entire laryngeal cancer at a nearly subcellular resolution based on true serial sections. These difficulties have not been overcome successfully. The difficulties encountered by researchers while building ultrahigh-resolution 3D models, from a mouse brain to a human brain, based on serial histological sections 6, 7, 8, include high expenditure, time consumption, risk of sample loss, impairment, uneven dyeing, distortion during histological processing, digitalization possibilities, paucity of imaging programs designed for 3D light microscopy and current computational ability. However, ultrahigh-resolution 3D reconstruction of the entire bulk of a tumor is not yet to be achieved.įor any project, the preparation of whole-organ sections and data processing aimed at reconstructing a whole organ at the centimeter scale from microscopic sections is a challenging task. Several studies have reported 3D models of tumor architecture based on reconstruction of light microscopic image sections 1, 2, 3, 4, 5, which show promise in cancer research. However, they do not yield a satisfactory resolution to distinguish the tumor mass from normal tissue. ![]() In clinical practice, magnetic resonance imaging (MRI) and computed tomography (CT) have significantly improved and have become more convenient for 3D reconstruction. Ideally, understanding and evaluating the behavior and characteristics of solid cancer tissues in terms of oncology should include the information of the whole tumor in all the three dimensions, which is crucial for surgical planning and adjuvant therapy. However, data mining strategy should be developed for complete utilization of the large amount of data generated.Ĭancer cells grow in all three dimensions. In conclusion, generating 3D digital histopathological images of a whole solid tumor based on current technology is feasible. In the regions of interest, micro tumor structure, budding, cell proliferation and tumor lymph vessels were well represented in 3D after segmentation, which highlighted the advantages of 3D reconstruction of light microscopy images. Based on fusion of two datasets, the accurate boundary of laryngeal tumor bulk was visualized in an anatomically realistic context. ![]() Direct volume rendering of serial 6.25 × light microscopy images did not demonstrate the major characteristics of the laryngeal cancer as expected. A series of 5,388 HE stained or immunohistochemically stained whole light microscopic images (200 ×) were acquired (15.61 TB).The data set of block-face images (96.2 GB) was also captured. We established a high-resolution 3D model of molecular marked whole laryngeal cancer by optimizing the currently available techniques. However, 3D histological reconstruction of whole tumor has not yet been achieved. Three-dimensional (3D) image reconstruction of tumors based on serial histological sectioning is one of the most powerful methods for accurate high-resolution visualization of tumor structures.
0 Comments
Leave a Reply. |