ArticleScientific reports2017
Different Volumetric Measurement Methods for Pituitary Adenomas and Their Crucial Clinical Significance.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Postoperative Pituitary MRI Findings in Acromegaly: A Pictorial Review.Diagnostics (Basel, Switzerland) · 2026Review
- Article
- MRI radiomics-based approach to predict pituitary neuroendocrine tumor invasiveness.European radiology experimental · 2026Article
- Gross total resection in low-grade and pretreated high-grade invasive growth hormone pituitary adenomas promises favorable outcomes.Discover oncology · 2025Article
- Evaluation of pituitary tumor volume as a prognostic factor in acromegaly: A cross-sectional study in two centers.World journal of radiology · 2025Article
- Somatic GNAS mutations in acromegaly: prevalence, clinical features and gender differences.Endocrine connections · 2025Article
- Methodology for pediatric head computed tomography image segmentation and volumetric calculation using a tablet computer and stylus pen.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2024Article
- Comparing MRI volume measurement techniques for pituitary macroadenoma: Investigating volume reduction and its relationship with biochemical control.Journal of medicine and life · 2023Article
- Pituitary adenoma consistency affects postoperative hormone function: a retrospective study.BMC endocrine disorders · 2023Article
- Volumetric Resection and Complications in Nonfunctioning Pituitary Adenoma by Fully Endoscopic Transsphenoidal Approach along 15 Years of Single-Center Experience.Journal of neurological surgery. Part B, Skull base · 2023Article
- Treatment selection towards active surveillance over definitive treatment for pituitary adenomas is influenced by sociodemographic factors.Clinical neurology and neurosurgery · 2022Article
- Article
- Thin-Slice Pituitary MRI with Deep Learning-Based Reconstruction for Preoperative Prediction of Cavernous Sinus Invasion by Pituitary Adenoma: A Prospective Study.AJNR. American journal of neuroradiology · 2022Article
- Three-Dimensional Semantic Segmentation of Pituitary Adenomas Based on the Deep Learning Framework-nnU-Net: A Clinical Perspective.Micromachines · 2021Article
- Article
- The GALANT trial: study protocol of a randomised placebo-controlled trial in patients with aBMJ open · 2020Article
- Article
- Preoperative prediction of cavernous sinus invasion by pituitary adenomas using a radiomics method based on magnetic resonance images.European radiology · 2019Article
- Influence of theFrontiers in endocrinology · 2018Article
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11 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Confirming the status of residual tumors is crucial. In stationary or spontaneous regression cases, early treatments are inappropriate. The long-used geometric calculation formula is 1/2 (length × width × height). However, it yields only rough estimates and is particularly unreliable for irregularly shaped masses. In our study, we attempted to propose a more accurate method. Between 2004 and 2014, 94 patients with pituitary tumors were enrolled in this retrospective study. All patients underwent transsphenoidal surgery and received magnetic resonance imaging (MRI). The pre- and postoperative volumes calculated using the traditional formula were termed A1 and A2, and those calculated using the proposed method were termed O1 and O2, respectively. Wilcoxon signed rank test revealed no significant difference between the A1 and O1 groups (P = 0.1810) but a significant difference between the A2 and O2 groups (P < 0.0001). Significant differences were present in the extent of resection (P < 0.0001), high-grade cavernous sinus invasion (P = 0.0312), and irregular shape (P = 0.0116). Volume is crucial in evaluating tumor status and determining treatment. Therefore, a more scientific method is especially useful when lesions are irregularly shaped or when treatment is determined exclusively based on the tumor volume.
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