E H Liang | PubMed Health

PubMed2000

[Laryngeal function preservation in comprehensive therapy of carcinoma of pyriform sinus].

OBJECTIVE: To investigate the sufficiency of comprehensive therapy in the preservation of laryngeal function of carcinoma of pyriform sinus. METHOD: Since 1986, 33 cases of pyriform sinus carcinoma were treated, the clinical stages were as follows: stage I 2 cases, stage II 9 cases, stage III 12, stage IV 10. The induced chemotherapy agents were cisplatin, methotrexate and pingyangmycin. Surgical treatment include local dissection of tumor, partial hypopharynx and partial larynx dissection. All patients were received postoperative radiotherapy. RESULT: Chemotherapy partial response rate was 42.4%, 3 years survive rate was 54.8%, 5 years survive rate was 38.7%. CONCLUSION: The cisplatin centered combined induced chemotherapy was effective in the treatment of pyriform sinus, the laryngeal function preservation surgical treatment of pyriform sinus carcinoma in T1 T2 and selective T3 patients is practicable. Postoperative radiotherapy can improve the local control rate.

Adult↗

PubMed1989

A selective mapping algorithm for computer analysis of voided urine cell images.

One of the fundamental targets of the automated image analysis of cytologic preparations is the reduction of computer classification errors due to cells or other objects that do not lend themselves to image segmentation or that have morphologic features that may mislead the cell classification schemes. In prior work from this laboratory, the achievement of this goal was attempted by hierarchical analysis of sequential microscopic objects at high resolution. This paper reports on the successful development and implementation of an automated "selective mapping algorithm" that selects cells at low power for further analysis and eliminates a large proportion of unwanted "objects." The algorithm classifies the objects and extracts appropriate features from a 256 X 240 digital image obtained via a 10 X planachromatic objective. The five-node binary tree classifier used in this triage is described. The algorithm was trained and tested initially on 501 visually classified microscopic "objects," resulting in a correct acceptance rate of 61.3% and correct rejection rate of 81.3%. The selective mapping algorithm was subsequently integrated into the video-based image analysis system constructed at the Montefiore Medical Center for the diagnostic evaluation of sediments of voided urine. The algorithm was then tested on ten cytocentrifuge preparations for a preliminary evaluation of its performance. Up to 100 "objects" per case were selected by the algorithm for further classification by the computer at high power. Of the 810 "objects" selected by the selective mapping algorithm, 344 (42.5%) were classified by the computer at high resolution as cells of diagnostic value ("WELL" cells) and 466 were rejected.(ABSTRACT TRUNCATED AT 250 WORDS)

Algorithms↗