The aim of the present study was to investigate the MRI and pathological features of Rathke cleft cysts (RCC) in the sellar region. A total of 45 RCC cases were retrospectively analyzed. RCC size, location, intracyst nodules and general signals, as well as the posterior pituitary bright spot (PPBS) were analyzed using MRI-T1 weighted images (T1WI) and T2WI. The relationship between the presence of PPBS and histopathological features was additionally evaluated. On T1WI, there were 18 cases of isointense signal, 16 cases of hyperintense signal, 9 cases of hypointense signal, 1 case of heterogeneous signal and 1 case with a stratification effect, with isointense signal in the upper part and hyperintense signal in the lower part. On T2WI, there were 5 cases of isointense signal, 27 cases of hyperintense signal, 11 cases of hypointense signal and 1 case of the stratification effect. There were 10 cases of PPBS+ and 35 cases of PPBS-. There were no significant differences in the age, sex, cyst location and size between PPBS+ and PPBS- cases. However, PPBS+ cases had significantly lower inflammation than PPBS- cases. A total of 20 cases of intracystic nodules were identified on MRI scans, most of which exhibited T2 -hypointense signals. The shape of RCC nodules varied and there were 17 cases where the nodules were non-adherent to the cyst wall. The MRI signals of RCCs varied and most nodules were floating within cysts. Intracystic nodules are characteristic features of RCCs when observed by MRI and thus are of high diagnostic value. Most patients with RCC were also PPBS-, which may be associated with an increased inflammatory response.

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Pituitary abscess is a rare disease with a high preoperative misdiagnosis rate. Magnetic resonance imaging is the primary method for confirming pituitary abscesses before surgery. We reported magnetic resonance imaging findings of four cases of pituitary abscess (three males and one female) aged from 33 to 72 years old. All four cases underwent transnasal sphenoid surgery and had a good prognosis. The findings on magnetic resonance imaging were analyzed. Three cases showed ring enhancement of the capsule wall. Four cases showed thickened pituitary stalk, with the diameter of the lower end larger than that of the upper end. The position of the pituitary stalk where it was inserted into the upper edge of the pituitary was located at the middle and posterior 1/3 junction of the upper edge of the pituitary two cases were with the enhancement of the dura mater at the bottom of the temporal lobe. Two cases were with the enhancement of the dura mater of the petroclival region, and one case was with the enhancement of the cavernous sinus. There are few articles concerning abnormal magnetic resonance imaging around the sellar region of pituitary abscess. The findings of the four cases in this article suggest that the pituitary abscess has characteristic abnormal magnetic resonance imaging of the sellar region and its surroundings.

BackgroundThe aim was to develop and assess a general pituitary hormone score to evaluate the function of the anterior pituitary (adenohypophysis) in patients following resection of pituitary adenomas.Material/MethodsSixty-six patients with pituitary null cell macroadenoma (1–3 cm diameter) (N=38) and pituitary null cell giant adenoma (≥3 cm diameter) (N=28) had preoperative and postoperative data including magnetic resonance imaging (MRI) and measurement of six pituitary hormones levels, adrenocorticotropic hormone (ACTH), growth hormone (GH), thyroid-stimulating hormone (TSH), prolactin (PRL), follicle-stimulating hormone (FSH), and luteinizing hormone (LH). The postoperative general pituitary hormone score, for 57 patients who underwent subtotal resection (>60%) and nine patients who underwent partial resection (≤60%), was 1–5 for each hormone level (score range, 6–30).ResultsACTH, GH, TSH, PRL, FSH, and LH levels in 38 patients with pituitary null cell macroadenoma were not statistically different from the 28 patients with pituitary null cell giant adenoma; the general pituitary hormone score in the former group was significantly increased compared with the latter group (P<0.05). ACTH, GH, TSH, PRL, FSH, and LH levels in the 57 patients with subtotal tumor resection were not significantly different from the nine patients with partial tumor resection; the general pituitary hormone score in the former group was significantly reduced compared with the latter group (P<0.05).ConclusionsA general pituitary hormone score was developed that might be relevant to the evaluation of pituitary function following surgical resection of pituitary null cell macroadenoma and giant adenoma.

Background: It is difficult to accurately determine whether emergent patients with small-bowel obstruction (SBO) have small-bowel ischemia and necrosis(SBIN). Therefore, in this study, we aimed to assess the ability of abdominal CT scans to predict SBIN and establish a new predictive model. Method: From March 2018 to May 2023, a rigorous posthoc analysis was conducted on whether 177 emergent patients with SBO had SBIN. Four clinical indexes and 19 CT signs were analyzed, and a multivariate scoring model for predicting SBIN was established using logistic regression analysis. A receiver operating characteristic (ROC) curve was used to assess the accuracy of this model. Result: Multivariate analysis showed that mesenteric edema and effusion (OR=23.450), significant thickening and the target sign on the small-bowel wall on plain scans (OR=23.652), significant thinning of the small-bowel wall(OR=30.439), significant decrease in small-bowel wall density (OR=12.885), and significant increase in small-bowel wall density (OR=19.550) were significantly correlated with SBIN (P<0.05). According to their multivariate ORs, an appropriate "predictive score" was assigned to each sign, and the rates of SBIN among those with a total score of 0-4, 5-6, and 7-8 were 2.2%, 86.4%, and 96.9%, respectively. The AUC of this predictive scoring model for SBIN exceeded 0.980. Conclusion: We have developed a predictive scoring model for SBIN, for which the incidence of SBIN increases with increasing predictive scores. This model can be useful for clinical treatment.