Clinical recommendation on fertility preservation in borderline ovarian neoplasm: ovarian stimulation and oocyte retrieval after conservative surgery

To evaluate safety and fertility outcome after assisted conception in patients who were treated conservatively for a borderline ovarian tumor (BOT).

Extra-articular fractures of the proximal phalanges of the fingers: a comparison of 2 methods of functional, conservative treatment

For nonsurgical treatment of fractures of the proximal phalanges of the triphalangeal fingers, different dynamic casts have been described. The main principle behind these casts is advancement and tightening of the extensor hood, caused by a combination of blocking the metacarpophalangeal joints in flexion and actively flexing the proximal interphalangeal joints. In contrast to established treatment protocols using functional forearm casts, the Lucerne cast allows for free mobilization of the wrist joint. The purpose of the current multicenter study was to compare the results of conservative, functional treatment using 2 different methods, either a forearm cast or a Lucerne cast.

[Extraarticular proximal phalangeal fractures of the hand: Functional conservative management using the Lucerne Cast (LuCa) - a preliminary prospective study]

The purpose of our prospective study was to document the clinical and radiological results of conservative-functional treatment of extraarticular proximal phalangeal fractures without immobilisation of the wrist.

A quarter century experience in liver trauma: a plea for early computed tomography and conservative management for all hemodynamically stable patients

Advances in diagnostic imaging and the introduction of damage control strategy in trauma have influenced our approach to treating liver trauma patients. The objective of the present study was to investigate the impact of change in liver trauma management on outcome.

The value of conservative treatment in ruptures of the anterior cruciate ligament (ACL)

BACKGROUND: Thirty-eight of the 73 consecutive acute ruptures of the anterior cruciate ligament (ACL) proven by a magnetic resonance imaging scan (MRI) in skeletally mature patients (16-55 years old) were classified as suitable for primarily conservative treatment. Patient selection was performed using a preoperative screening protocol based on the structural damage, clinical symptoms, compliance, sportive activity, and the consent of a well-informed patient. METHODS: In 12 of the 38 treated patients, the conservative protocol showed a good to very good outcome, 2 patients had persistent giving-way and were considering ACL reconstruction, 14 patients had a secondary ACL reconstruction in our clinic (average 5.3 months after injury), 9 patients were operated on in other hospitals (average 13.3 months after injury), and 1 patient was lost to follow-up. RESULTS: All patients with successful conservative treatment were able to perform low-risk pivoting sports and two patients are practicing high-risk pivoting sports. The average International Knee Documentation Committee (IKDC) score was 92.5 (82.8-98.9); the subjective overall knee function was 93% (60% to 100%). Of the 12 patients with good and very good results, 6 continued playing the same sports at an unreduced intensity, 4 patients reduced their activities slightly, and 1 patient played more sports than before. CONCLUSIONS: Although the authors performed a preoperative screening to select patients suitable for conservative treatment, almost two-thirds of the primarily conservatively treated ACL ruptures needed an operative reconstruction in the long term. In one-third of the patients, conservative treatment led to a good or very good result. At the endpoint of the study only 12 (16%) of a total of 73 patients with acute injuries of the ACL had successful conservative treatment. Therefore, patients must be comprehensively instructed about the treatment program and the chances of success of conservative ACL treatment.

An integral conservative gridding--algorithm using Hermitian curve interpolation

The problem of re-sampling spatially distributed data organized into regular or irregular grids to finer or coarser resolution is a common task in data processing. This procedure is known as 'gridding' or 're-binning'. Depending on the quantity the data represents, the gridding-algorithm has to meet different requirements. For example, histogrammed physical quantities such as mass or energy have to be re-binned in order to conserve the overall integral. Moreover, if the quantity is positive definite, negative sampling values should be avoided. The gridding process requires a re-distribution of the original data set to a user-requested grid according to a distribution function. The distribution function can be determined on the basis of the given data by interpolation methods. In general, accurate interpolation with respect to multiple boundary conditions of heavily fluctuating data requires polynomial interpolation functions of second or even higher order. However, this may result in unrealistic deviations (overshoots or undershoots) of the interpolation function from the data. Accordingly, the re-sampled data may overestimate or underestimate the given data by a significant amount. The gridding-algorithm presented in this work was developed in order to overcome these problems. Instead of a straightforward interpolation of the given data using high-order polynomials, a parametrized Hermitian interpolation curve was used to approximate the integrated data set. A single parameter is determined by which the user can control the behavior of the interpolation function, i.e. the amount of overshoot and undershoot. Furthermore, it is shown how the algorithm can be extended to multidimensional grids. The algorithm was compared to commonly used gridding-algorithms using linear and cubic interpolation functions. It is shown that such interpolation functions may overestimate or underestimate the source data by about 10-20%, while the new algorithm can be tuned to significantly reduce these interpolation errors. The accuracy of the new algorithm was tested on a series of x-ray CT-images (head and neck, lung, pelvis). The new algorithm significantly improves the accuracy of the sampled images in terms of the mean square error and a quality index introduced by Wang and Bovik (2002 IEEE Signal Process. Lett. 9 81-4).