Literature DB >> 8537517

MR volumetry for monitoring intramuscular bromocriptine treatment in macroprolactinomas.

H Benesch1, S R Felber, G Finkenstedt, C Kremser, G Stockhammer, F T Aichner.   

Abstract

OBJECTIVE: To assess volumetric changes of pituitary prolactinomas, we applied a threshold-based segmentation algorithm in two patients during intramuscular bromocriptine treatment.
MATERIALS AND METHODS: Tumor volumes were calculated from contiguous slices of a 3D GE sequence and from conventional SE images.
RESULTS: After a single 50 mg i.m. bromocriptine administration, the prolactinoma volumes decreased by 25 and 35% within 7 and 11 days, respectively. Volume calculations from 3D GE images were more accurate than calculations from 3 mm 2D SE images, especially for smaller tumors. A decrease of prolactinoma size was paralleled by a decrease of serum prolactin levels and correlated with an improvement of visual field and endocrine function in both patients. The end of the bromocriptine effect was indicated by a reincreasing tumor volume, which was observed after 30 days in the first patients and after 43 days in the second patient.
CONCLUSION: Our results suggest that MR volumetry represents a useful tool to monitor changes of prolactinoma volume during bromocriptine treatment and may improve the clinical management of these patients.

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Year:  1995        PMID: 8537517     DOI: 10.1097/00004728-199511000-00005

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  2 in total

1.  Comparison between manual and semiautomated volumetric measurements of pituitary adenomas.

Authors:  Qasim Al Hinai; Kelvin Mok; Anthony Zeitouni; Bruno Gagnon; Abdul Razag Ajlan; Juan Rivera; Marc Tewfik; Denis Sirhan
Journal:  Skull Base       Date:  2011-11

2.  Accuracy and reproducibility of a novel semi-automatic segmentation technique for MR volumetry of the pituitary gland.

Authors:  Diane M Renz; Horst K Hahn; Peter Schmidt; Jan Rexilius; Markus Lentschig; Alexander Pfeil; Dieter Sauner; Clemens Fitzek; Hans-Joachim Mentzel; Werner A Kaiser; Jürgen R Reichenbach; Joachim Böttcher
Journal:  Neuroradiology       Date:  2010-06-19       Impact factor: 2.804

  2 in total

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