Given the task definition, example input & output, solve the new input case.
Given an abstract, generate a keyword (a noun phrase) that best describes the focus or contribution of the paper. Such keywords can be directly from the given abstract or outside it.
Example: Abstract: Some patients converted from ventricular fibrillation to organized rhythms by defibrillation - trained ambulance technicians(EMT - Ds) will refibrillate before hospital arrival.The authors analyzed 271 cases of ventricular fibrillation managed by EMT - Ds working without paramedic back - up.Of 111 patients initially converted to organized rhythms, 19(17 % ) refibrillated, 11(58 % ) of whom were reconverted to perfusing rhythms, including nine of 11(82 % ) who had spontaneous pulses prior to refibrillation.Among patients initially converted to organized rhythms, hospital admission rates were lower for patients who refibrillated than for patients who did not(53 % versus 76 % , P = NS), although discharge rates were virtually identical(37 % and 35 % , respectively).Scene - to - hospital transport times were not predictively associated with either the frequency of refibrillation or patient outcome.Defibrillation - trained EMTs can effectively manage refibrillation with additional shocks and are not at a significant disadvantage when paramedic back - up is not available.
Output: Ventricular Fibrillation
This term is directly present in the abstract and it is one of the main topic in it. So can be chosen as the medical subject heading.

New input case for you: Abstract: Simultaneous urinary flow cytometry, cytologic, and cystoscopic examinations were performed at 3-month intervals for a minimum of 1 year on 29 patients receiving intravesical bacillus Calmette-Guerin (BCG) treatment of superficial bladder carcinoma. Flow cytometry (FCM) and cytology were concordant in 57 of 103 examinations; both FCM and cytology were positive in 38 instances, and carcinoma was confirmed by biopsy in 35 (92.1%). In 16 instances FCM and cytology were negative, but carcinoma was present on biopsy in 5 (31.3%). Three examinations were suspicious by both techniques. The 46 determinations with discordant FCM and cytology were subdivided into pathologically confirmed recurrences (25 instances) and no evidence of pathologic and/or cystoscopic disease (21 instances). In the 25 instances of recurrences, FCM was positive in 18 (72.0%), suspicious in 3 (12.0%), and negative in 4 (16.0%), while cytology was positive in 3 (12.0%), suspicious in 9 (36.0%), and negative in 13 (52.0%). Most patients had a severe BCG-induced inflammatory response that caused an elevation of the hyperdiploid population, believed secondary to epithelial regeneration and proliferation. In the 21 instances without detectable recurrence, hyperploidy led to a relatively high proportion of positive (15) and suspicious (4) results by FCM, but only eight had distinct aneuploid populations. It is possible that this latter group, at least, is harboring occult carcinoma. Conventional cytology in the nonrecurrent group was positive in 1 (4.8%), suspicious in 7 (33.3%), and negative in 13 (61.9%). In those instances when tumor was confirmed by biopsy, the false-negative rate for FCM was 19.7%; the false-negative rate for cytology was 40.9%. Thus, FCM appears to be more sensitive but less specific than conventional cytology, having a lower false-negative but a higher false-positive rate. Although serial FCM provides an objective quantitative measure of aneuploid stemlines and hyperdiploid populations in bladder irrigation specimens and can be helpful in following intravesical BCG therapy for superficial bladder carcinoma, it should still be used with conventional cytology. The greatest difficulty with FCM at present, as with conventional cytology, is in cases of marked inflammation. The results reported here were obtained under the most stringent conditions and represent the minimum level of accuracy. Potential improvements in the technique, with the addition of immunologic or other markers, hold hope of further increasing the accuracy of FCM.
Output:
Aged