Objective To analyze the influence of the age of colorectal cancer patients served by West China Hospital as a regional center on hospitalization process in the current version of Database from Colorectal Cancer (DACCA). Methods The DACCA version was updated on January 5, 2022. All data items analyzed included age, date of admission, date of operation, date of discharge, pre-operation time, post-operation time, total hospital stay and management process. Data were assigned to three groups according to age with ≤45, 46–64 and ≥65 years old. Results After scanning, 8 013 data rows were obtained, from 2005 to 2022. The patients’ ages ranged from 14 to 104 years old, and were (58.01±13.52) years old in average. The results showed that the relationship between age and post-operative time was not statistically related (P>0.05). However, the pre-operative time (P=0.001) and total hospital stay time (P=0.005) were positively correlated with the age of colorectal cancer patients. The pre-operation time was longer in the older-aged group (P=0.021). Youth group had longer total hospital stay than other groups (P=0.028). Additionally, there was significant difference in the management process of colorectal cancer patients of different age groups (χ2=32.824, P＜0.05), but in terms of each process management classification, patients in different age groups had the same choice tendency as the overall choice, with “routine” management accounting for the largest proportion. “ERAS (enhanced recovery after surgery)” management was in the second place. Conclusions This study showed that the age group of patients with colorectal cancer has a certain influence on the length of hospital stay. Older patients have longer pre-operation time, but the effect of age on the total length of hospital stay still remains to be discussed. The composition of clinical management process varies among different age groups, and the elderly patients received the highest proportion of “ERAS” management process.
Objective To explore and solve the key technologies of the three dimensional (3D) visual ization reconstruction of functional fascicular groups inside long segmented peri pheral nerve. Methods A 20 cm ulnar nerve from upper arm of fresh adult dead body was embedded by OCT with four pieces of woman’s hair which was used as locating material, then the samples were serially horizontally sl iced into 400 sl ices with 15 μm thickness and 0.5 mm interval. All sl iceswere stained with acetylcholinesterase (AchE) histochemical staining. After that, the 2D panorama images of the same sl ice were obtained with Olympus stereomicroscope and MSHOT MD90 micro figure image device before and after AchE staining. Using the layer processing technique of Photoshop image processing software, the recomposition images including complete 4 location pots were obtained, based on which the algorithm of optimized least square support vector machine (Optimized LS-SVM) and space transformation method was used to fulfill automatic registration. Finally, with artificial assistant outline obtaining, the 3D visual ization reconstruction model of functional fascicular groups of 20 cm ulnar nerve was made using Amira 4.1, and the effects of reverse reduction and the suitabil ity of 3D reconstruction software were evaluated. Results The two-time imaging technique based on the layer process of Photoshop image processing software had the advantages: the image outline had high goodness of fit; the locating pots of merging image was accurate; and the whole procedure was simple and fast. The algorithm of Optimized LS-SVM had high degree of accuracy, and the error rate was only 8.250%. The 3D reconstruction could display the changes of the chiastopic fusion of different nerve functional fascicular groups directly. It could extract alone, merge and combine arbitrarily, and revolve at any angles. Furthermore, the reverse reduction on arbitrarily level dissection of the 3D model was very accurately. Conclusion Based on the two-time imaging technique and computer image layer processing technology, the compute algorithm of auto-registration can be developed and appl ied to 3D visual ization reconstruction of long segmented peripheral nerve. The technological processes is fast, and the reconstruction effect is good.
Objective To investigate the feasibil ity of building the 3D reconstruction of short segment common peroneal nerve functional fascicles based on serial histological sections and computer technology. Methods Five cm of the common peroneal nerve in the popl iteal fossa, donated by an adult, was made into the serial transverse freezing sections(n=200) at an interval of 0.25 mm and 10 μm in thickness per section. Acetylchol inesterase staining was adopted and the nerve fascicles were observed by microscope. 2D panorama images were acquired by high-resolution digital camera under microscope (× 100) and mosaic software. Different functional fascicles were distinguished and marked on each section. The topographic database was matched by image processing software. The 3D microstructure of the fascicular groups of 5 cm common peroneal nerve was reconstructed using Amira 3.1 3D reconstruction software. Results Based on microanatomy and the results of acetylchol inesterase staining, this segmented common peroneal nerve functional fascicles was divided into sensory tract, motor tract, mixed tract and motor-predominating mixed tract. The cross merging was not evident in the nerve fascicles between deep peroneal nerve and superficial peroneal nerve, but existed within the functional fascicles of the deep peroneal nerve and the superficial peroneal nerve. The results of 3D reconstruction reflected the 3D structure of peripheral nerve and its interior functional fascicles factually, which displayed solely or in combination at arbitrary angles. Conclusion Based on serial histological sections and computer technology, the 3D microstructure of short-segment peripheral nerve functional fascicles can be reconstructed satisfactorily, indicating the feasibil ity of building 3D reconstruction of long-segmental peripheral nerve functional fascicles.