scholarly journals The diagnostic value of first-voided urinary LH compared with GNRH-stimulated gonadotropins in differentiating slowly progressive from rapidly progressive precocious puberty in girls

2014 ◽  
Vol 170 (5) ◽  
pp. 749-758 ◽  
Author(s):  
Amnon Zung ◽  
Ella Burundukov ◽  
Mira Ulman ◽  
Tamar Glaser ◽  
Moshe Rosenberg ◽  
...  
Keyword(s):  
Precocious Puberty ◽  
Bone Age ◽  
Diagnostic Value ◽  
The Other ◽  
Operating Characteristics ◽  
Predictive Values ◽  
Characteristics Analysis ◽  
Group 2 ◽  
Two Parameters

ObjectiveCharacterization of pubertal progression is required to prevent unnecessary intervention in unsustained or slowly progressive (SP) precocious puberty (PP), while delivering hormonal suppression in rapidly progressive (RP) PP. We aimed to assess the diagnostic value of first-voided urinary LH (ULH) compared with GNRH-stimulated gonadotropins in differentiating these forms of PP.MethodsA total of 62 girls with PP underwent both GNRH stimulation and ULH assay. Fifteen girls with peak LH ≥10 IU/l started treatment immediately, whereas the other 47 girls were evaluated after 6 months for pubertal advancement, height acceleration, and bone-age maturation. Based on these criteria, the participants were assigned to five subgroups: pubertal regression, no progression or progression by one, two or three criteria. The first three subgroups were defined as SP-PP (n=29), while the other two subgroups were defined as RP-PP (n=18). An additional 23 prepubertal girls were evaluated for ULH.ResultsULH but not serum gonadotropins could distinguish girls with two and three criteria from less progressive subgroups. By comparison with SP-PP (i.e. regression group and groups 0 and 1), those with RP-PP (group 2+3) had lower peak FSH (9.28±2.51 vs 12.57±4.30;P=0.007) and higher peak LH:FSH ratio (0.42±0.30 vs 0.22±0.12;P=0.022) and ULH (1.63±0.65 vs 1.05±0.26 IU/l;P<0.001). Based on receiver operating characteristics analysis, a ULH cutoff of 1.16 IU/l had a better sensitivity (83%) and positive and negative predictive values (65 and 88% respectively) than the other two parameters, with a specificity of 72%.ConclusionsULH assay is a noninvasive, reliable method that can assist in the distinction between SP- and RP-PP.

Rapid progressive central precocious puberty: diagnostic and predictive value of basal sex hormone levels and pelvic ultrasound

2020 ◽  
Vol 33 (6) ◽  
pp. 785-791
Author(s):  
Valeria Calcaterra ◽  
Catherine Klersy ◽  
Federica Vinci ◽  
Corrado Regalbuto ◽  
Giulia Dobbiani ◽  
...  
Keyword(s):  
Precocious Puberty ◽  
Tanner Stage ◽  
Central Precocious Puberty ◽  
Bone Age ◽  
Diagnostic Value ◽  
Sex Hormone ◽  
Pelvic Ultrasound ◽  
Predictive Values ◽  
Hormone Levels ◽  
Ultrasound Parameters

AbstractObjectivesData on the predictive values of parameters included in the diagnostic work-up for precocious puberty (PP) remain limited. We detected the diagnostic value of basal sex hormone levels, pelvic ultrasound parameters and bone age assessment for activation of the hypothalamic-pituitary-gonadal axis in girls with PP, in order to help in the decision to perform GnRH testing.Patients and methodsWe retrospectively considered 177 girls with PP. According to puberty evolution, the girls were divided into two groups: rapid progressive central precocious puberty (RP-CPP) and non/slowly progressive/transient forms (SP-PP). In all patients we considered Tanner stage, basal luteinizing hormone (LH) and estradiol (E2) values, bone age, and pelvis examination. We assessed the diagnostic value of each variable and identified the number of pathological parameters that best identify patients with RP-CPP.ResultsBasal LH ≥ 0.2IU/L, E2 level ≥ 50 pmol/L, uterine longitudinal diameter ≥ 3.5 cm, transverse uterine diameter ≥ 1.5 cm, endometrial echo and ovarian volume ≥ 2 cm3 were significantly associated with RP-CPP (p ≤ 0.01). The ability to diagnose RP-CPP was enhanced with increasing number of pathological hormonal and instrumental parameters (p < 0.001). With more than three parameters detected, sensitivity and specificity reached 58% (95%CI 48–67) and 85% (95%CI 74–92), respectively, with a PPV = 86% (95%CI 76–93) and PPN = 54% (95%CI 43–54); the area under the ROC curve was 0.71 (95%CI 0.65–0.78).ConclusionDespite the availability of different tests, diagnosing RP-CPP remains difficult. A diagnosis model including at least three hormonal and/or ultrasound parameters may serve as a useful preliminary step in selecting patients who require GnRH testing for early detection of RC-PP.

Layer-specific strain analysis: investigation of regional deformations in a rat model of acute versus chronic myocardial infarction

2012 ◽  
Vol 303 (5) ◽  
pp. H549-H558 ◽  
Author(s):  
Noa Bachner-Hinenzon ◽  
Offir Ertracht ◽  
Assaf Malka ◽  
Marina Leitman ◽  
Zvi Vered ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Wall Thickness ◽  
Strain Analysis ◽  
Scar Tissue ◽  
The Other ◽  
Tissue Formation ◽  
Operating Characteristics ◽  
Specific Strain ◽  
Characteristics Analysis ◽  
Extent Of Damage

Myocardial infarction (MI) injury extends from the endocardium toward the epicardium. This phenomenon should be taken into consideration in the detection of MI. To study the extent of damage at different stages of MI, we hypothesized that measurement of layer-specific strain will allow better delineation of the MI extent than total wall thickness strain at acute stages but not at chronic stages, when fibrosis and remodeling have already occurred. After baseline echocardiography scans had been obtained, 24 rats underwent occlusion of the left anterior descending coronary artery for 30 min followed by reperfusion. Thirteen rats were rescanned at 24 h post-MI and eleven rats at 2 wk post-MI. Next, rats were euthanized, and histological analysis for MI size was performed. Echocardiographic scans were postprocessed by a layer-specific speckle tracking program to measure the peak circumferential strain (SCpeak) at the endocardium, midlayer, and epicardium as well as total wall thickness SCpeak. Linear regression for MI size versus SCpeak showed that the slope was steeper for the endocardium compared with the other layers ( P < 0.001), meaning that the endocardium was more sensitive to MI size than the other layers. Moreover, receiver operating characteristics analysis yielded better sensitivity and specificity in the detection of MI using endocardial SCpeak instead of total wall thickness SCpeak at 24 h post-MI ( P < 0.05) but not 2 wk later. In conclusion, at acute stages of MI, before collagen deposition, scar tissue formation, and remodeling have occurred, damage may be nontransmural, and thus the use of endocardial SCpeak is advantageous over total wall thickness SCpeak.

scholarly journals Predictive values of resonance frequency analysis as a diagnostic tool in palatal implant loss

2019 ◽  
Vol 89 (5) ◽  
pp. 721-726
Author(s):  
Katja Wieczorek ◽  
Winfried Harzer ◽  
Heinrich Wehrbein ◽  
Maximilian Moergel ◽  
Martin Kunkel ◽  
...  
Keyword(s):  
Resonance Frequency ◽  
Frequency Analysis ◽  
Controlled Trial ◽  
False Negative ◽  
Diagnostic Value ◽  
Resonance Frequency Analysis ◽  
Predictive Values ◽  
Palatal Implant ◽  
Group 2 ◽  
Group 1

ABSTRACTObjectives:To determine the diagnostic value of resonance frequency analysis (RFA) in predicting palatal implant (PI) loss.Materials and Methods:RFA values of 32 patients (study center at Mainz and Dresden) were evaluated in a prospective randomized controlled trial addressing clinical performance of two loading concepts on PI (Orthosystem, Straumann, Basel, Switzerland). Group 1: conventional loading after a 12-week healing period vs group 2: immediate loading within one week after insertion. Stability was assessed by RFA after surgical insertion (T1), one week (T2), and 12 weeks (T3) later.Results:All 32 PI were clinically stable after surgical insertion; 14 PI were loaded conventionally and 18 immediately. One implant in group 1 was lost 6 weeks after insertion. One drop-out was registered in group 2. One false positive and three false negative implant stability quotients (ISQ) were observed. ISQ values of clinically stable PI in group 1 were 67.2 (SD ± 9.5) at T1, 62.3 (SD ± 11.7) at T2, and 68.2 (SD ± 5.5) at T3. Group 2 showed 67.1 (SD ± 11.7) at T1, 65.4 (SD ± 10.4) at T2, and 72.3 (SD ± 5.6) at T3. Differences between groups were not statistically significant for starting time (P = .88) and change from T1 to T2: 0.08 but were significant from T1 to T3: P = .04; (regression analysis).Conclusions:RFA had no sensitivity for prediction of stability. General decrease after primary stability and increase with secondary stability gives support for specificity. Within the limits of the study, only the diagnostic value of RFA identifying stable palatal implants could be confirmed.

scholarly journals Diagnostic Value of Pituitary Volume in Girls with Precocious Puberty

2020 ◽  
Author(s):  
Su Wu ◽  
Yan Yang ◽  
Yujiao Wang ◽  
Qianqi Liu ◽  
Zi-yang Zhu ◽  
...  
Keyword(s):  
Precocious Puberty ◽  
Univariate Analysis ◽  
Predictive Marker ◽  
Bone Age ◽  
Diagnostic Value ◽  
Analysis Model ◽  
Pediatric Endocrinology ◽  
Roc Curve Analysis ◽  
Premature Thelarche ◽  
Cutoff Value

Abstract Background: To date, the gonadotropin-releasing hormone (GnRH) stimulation test is still the gold standard for precocious puberty (PP) diagnosis. However, it has many disadvantages, including low sensitivity, high cost, and invasive operation. This study aims to evaluate whether magnetic resonance imaging (MRI)-derived variables, including pituitary volume (PV), could be used as diagnostic factors for PP in girls, providing a non-invasive diagnostic approach for PP.Methods: A total of 288 young female patients who presented to the Clinic of Pediatric Endocrinology for evaluation of PP from January 2015 to December 2017 were enrolled. The sample included 90 girls diagnosed with premature thelarche (PT), 133 girls determined as idiopathic central precocious puberty (ICPP), 35 early pubertal girls, and 30 normal girls. All patients received pituitary MRI examinations.Results: The largest PV and pituitary height were shown in the ICPP and pubertal groups, followed by the PT group. The receiver operating characteristic (ROC) curve analysis showed that PV is a predictive marker for ICPP, with a sensitivity of 54.10% and a specificity of 72.20% at the cutoff value of 196.01 mm3. By univariate analysis, PV was positively associated with peak luteinizing hormone (LH), LH/follicle-stimulating hormone (FSH), age, bone age, and body mass index (BMI) (all P < 0.05). However, bone age and peak LH were the only significant predictors of PV as demonstrated by the stepwise multivariate regression analysis (Model: PV = 9.431 * bone age + 1.230 * peak LH + 92.625 [P = 0.000, R2 = 0.159]).Conclusions: The PV in the ICPP group was significantly higher than in PT and control groups, but there was no reliable cutoff value to distinguish ICPP from PT. Pituitary MRI should be combined with clinical and laboratory tests to improve the diagnostic value of PV for PP.

scholarly journals Diagnostic Value of Pituitary Volume in Girls with Precocious Puberty

2019 ◽  
Author(s):  
Su Wu ◽  
Yan Yang ◽  
Yujiao Wang ◽  
Qianqi Liu ◽  
Zi-yang Zhu ◽  
...  
Keyword(s):  
Precocious Puberty ◽  
Univariate Analysis ◽  
Predictive Marker ◽  
Bone Age ◽  
Diagnostic Value ◽  
Analysis Model ◽  
Pediatric Endocrinology ◽  
Roc Curve Analysis ◽  
Premature Thelarche ◽  
Cutoff Value

Abstract Background: To date, the gonadotropin-releasing hormone (GnRH) stimulation test is still the pivotal guarantee of precocious puberty (PP) diagnosis. However, it has many disadvantages, including low sensitivity, high cost, and invasive operation. This study aimed to evaluate whether magnetic resonance imaging (MRI)-derived variables, including pituitary volume (PV), could be used as diagnostic factors for PP in girls, providing a non-invasive diagnostic method for PP. Methods: A total of 288 young female patients who presented to the Clinic of Pediatric Endocrinology for evaluation of PP from January 2015 to December 2017 were enrolled. The sample included 90 girls diagnosed with premature thelarche (PT), 133 girls determined as idiopathic central precocious puberty (ICPP), 35 early pubertal girls, and 30 normal girls. All patients received pituitary MRI. Results: The largest PV and pituitary height were shown in the ICPP and pubertal groups, followed by the PT group. The receiver operating characteristic (ROC) curve analysis showed that PV might be a predictive marker for ICPP, with a sensitivity of 54.10% and a specificity of 72.20% at the cutoff value of 196.01 mm3. By univariate analysis, PV was significantly and positively associated with peak luteinizing hormone (LH), LH/follicle-stimulating hormone (FSH), age, bone age, and Body Mass Index (BMI) (all P < 0.05). However, bone age and peak LH were the only significant predictors of PV by the stepwise multivariate regression analysis (Model: PV = 9.431 * bone age + 1.230 * peak LH + 92.625 [P = 0.000, R2 = 0.159)). Conclusions: The PV in the ICPP group was significantly higher than that in the PT and control groups, but there was no reliable cutoff value to distinguish ICPP from PT. Pituitary MRI should be combined with clinical and laboratory tests to maximize the diagnostic value of PV for PP.

scholarly journals Ratio of carcinoembryonic antigen in pleural fluid and serum for the diagnosis of malignant pleural effusion

2019 ◽  
Vol 11 ◽  
pp. 175883591985034 ◽  
Author(s):  
Klaus Hackner ◽  
Peter Errhalt ◽  
Sabin Handzhiev
Keyword(s):  
Pleural Effusion ◽  
Carcinoembryonic Antigen ◽  
Pleural Fluid ◽  
Predictive Value ◽  
Malignant Pleural Effusion ◽  
Diagnostic Value ◽  
Tumour Markers ◽  
Operating Characteristics ◽  
Characteristics Analysis ◽  
Individual Marker

Background: Tumour markers in pleural fluid and their diagnostic value are subject to debate. Although there are several studies on this topic, standardized cut-off values do not exist. In this study we investigated the potential of a ratio of carcinoembryonic antigen (CEA) in pleural fluid and serum, serving as an individual marker for pleural cancer manifestation. Methods: A total of 201 consecutive patients with unclear pleural effusion were included in the study; 98 were diagnosed with malignant pleural effusion and 103 had an effusion due to other, benign reasons. CEA levels in pleural fluid and serum were measured. Results: By using receiver operating characteristics analysis, at the cut-off of 1.0, the CEA ratio showed a specificity of 92% and sensitivity of 85%, with a positive predictive value of 91% and a negative predictive value of 87%. These results are higher than in previous investigations on different pleural tumour markers and their combination. Conclusions: The CEA ratio is a useful tool in predicting pleural carcinosis. Elevated results in cytology-negative patients should lead to further investigations, such as repeated cytological examination or thoracoscopy.

scholarly journals Automated Pupillometry Identifies Absence of Intracranial Pressure Elevation in Intracerebral Hemorrhage Patients

2020 ◽  
Author(s):  
Antje Giede-Jeppe ◽  
Maximilian I. Sprügel ◽  
Hagen B. Huttner ◽  
Matthias Borutta ◽  
Joji B. Kuramatsu ◽  
...  
Keyword(s):  
Intracranial Pressure ◽  
Intracerebral Hemorrhage ◽  
Predictive Value ◽  
External Ventricular Drain ◽  
Operating Characteristics ◽  
Predictive Values ◽  
Light Reflex ◽  
Characteristics Analysis ◽  
Sensitivity Specificity ◽  
Pupillary Reactivity

Abstract Introduction Although automated pupillometry is increasingly used in critical care settings, predictive value of automatically assessed pupillary parameters during different intracranial pressure (ICP) levels and possible clinical implications are unestablished. Methods This retrospective cohort study at the neurocritical care unit of the University of Erlangen-Nuremberg (2016–2018) included 23 nontraumatic supratentorial (intracerebral hemorrhage) ICH patients without signs of abnormal pupillary function by manual assessment, i.e., absent light reflex. We assessed ICP levels by an external ventricular drain simultaneously with parameters of pupillary reactivity [i.e., maximum and minimum apertures, light reflex latency (Lat), constriction and redilation velocities (CV, DV), and percentage change of apertures (per-change)] using a portable pupillometer (NeurOptics®). Computed tomography (CT) scans were analyzed to determine lesion location, size, intraventricular hemorrhage, hydrocephalus, midline shift, and compression or absence of the basal cisterns. We performed receiver operating characteristics analysis to investigate associations of ICP levels with pupillary parameters and to determine best cutoff values for prediction of ICP elevation. After dichotomization of assessments according to ICP values (normal: < 20 mmHg, elevated: ≥ 20 mmHg), prognostic performance of the determined cutoff parameters of pupillary function versus of CT-imaging findings was analyzed by calculating sensitivity, specificity, positive and negative predictive values (logistic regression, corresponding ORs with 95% CIs). Results In 23 patients (11 women, median age 59.0 (51.0–69.0) years), 1,934 assessments were available for analysis. A total of 74 ICP elevations ≥ 20 mmHg occurred in seven patients. Best discriminative thresholds for ICP elevation were: CV < 0.8 mm/s (AUC 0.740), per-change < 10% (AUC 0.743), DV < 0.2 mm/s (AUC 0.703), and Lat > 0.3 s (AUC 0.616). Positive predictive value of all four parameters to indicate ICP elevation ranged between 7.2 and 8.3% only and was similarly low for CT abnormalities (9.1%). We found high negative predictive values of pupillary parameters [CV: 99.2% (95% CI 98.3–99.6), per-change: 98.7% (95% CI 97.8–99.2), DV: 98.0% (95% CI 97.0–98.7), Lat: 97.0% (95% CI 96.0–97.7)], and CT abnormalities [99.7% (95% CI 99.2–99.9)], providing evidence that both techniques adequately identified ICH patients without ICP elevation. Conclusions Our data suggest an association between noninvasively detected changes in pupillary reactivity and ICP levels in sedated ICH patients. Although automated pupillometry and neuroimaging seem not sufficient to noninvasively indicate ICP elevation, both techniques, however, adequately identified ICH patients without ICP elevation. This finding may facilitate routine management by saving invasive ICP monitoring or repeated CT controls in patients with specific automated pupillometry readings.

scholarly journals Diagnostic Value of Pituitary Volume in Girls with Precocious Puberty

2019 ◽  
Author(s):  
Su Wu ◽  
Yan Yang ◽  
Yujiao Wang ◽  
Qianqi Liu ◽  
Zi-yang Zhu ◽  
...  
Keyword(s):  
Precocious Puberty ◽  
Univariate Analysis ◽  
Predictive Marker ◽  
Bone Age ◽  
Diagnostic Value ◽  
Analysis Model ◽  
Pediatric Endocrinology ◽  
Roc Curve Analysis ◽  
Premature Thelarche ◽  
Cutoff Value

Abstract To date, the gonadotropin-releasing hormone (GnRH) stimulation test is still the pivotal guarantee of precocious puberty (PP) diagnosis. However, it has many disadvantages, including low sensitivity, high cost, and invasive operation. This study aimed to evaluate the impacts of magnetic resonance imaging (MRI)-derived variables on the diagnosis of PP in girls, providing a non-invasive diagnostic method for PP. Methods: A total of 288 young female patients who presented to the Clinic of Pediatric Endocrinology for evaluation of PP from January 2015 to December 2017 were enrolled. The sample included 90 girls diagnosed with premature thelarche (PT), 133 girls determined as idiopathic central precocious puberty (ICPP), 35 early pubertal girls, and 30 normal girls. All patients received pituitary MRI. Results: The largest pituitary volume (PV) and pituitary height were shown in the ICPP and pubertal groups, followed by the PT group. The receiver operating characteristic (ROC) curve analysis showed that PV might be a predictive marker for ICPP, with a sensitivity of 54.10% and a specificity of 72.20% at the cutoff value of 196.01 mm3. By univariate analysis, PV was significantly and positively associated with peak luteinizing hormone (LH), LH/follicle-stimulating hormone (FSH), age, bone age, and Body Mass Index (BMI) (all P < 0.05). However, bone age and peak LH were the only significant predictors of PV by the stepwise multivariate regression analysis (Model: PV = 9.431 * bone age + 1.230 * peak LH + 92.625 [P = 0.000, R2 = 0.159)). Conclusions: The PV in the ICPP group was significantly higher than that in the PT and control groups, but there was no reliable cutoff value to distinguish ICPP from PT. Pituitary MRI should be combined with clinical and laboratory tests to maximize the diagnostic value of PV for PP.

scholarly journals A Single Parathyroid Hormone Measurement Two Hours after a Thyroidectomy Reliably Predicts Permanent Hypoparathyroidism

2020 ◽  
pp. 145749692091366
Author(s):  
D. Palmhag ◽  
J. Brydolf ◽  
J. Zedenius ◽  
R. Bränström ◽  
I.-L. Nilsson
Keyword(s):  
Vitamin D ◽  
Parathyroid Hormone ◽  
Predictive Value ◽  
Area Under The Curve ◽  
Diagnostic Value ◽  
Permanent Hypoparathyroidism ◽  
Operating Characteristics ◽  
Predictive Values ◽  
Entire Cohort ◽  
Benign Thyroid Disorders

Introduction: Hypoparathyroidism is the most common complication following thyroidectomy, and various algorithms for early detection have been suggested. The aim of this study was to evaluate the predictive value of measuring the parathyroid hormone level 2 h after thyroidectomy and whether determination of the perioperative decline in parathyroid hormone added diagnostic value. Methods: Patients subjected to thyroidectomy for benign thyroid disorders were analyzed in (1) a retrospective register-based study (366 consecutive patients treated during 2015–2016) and (2) a prospective observational study (39 patients treated during 2018). Optimal cut-off values for postoperative parathyroid hormone and perioperative decline (%) in parathyroid hormone were determined by receiver operating characteristics and area under the curve. Sensitivity, specificity, positive and negative predictive values were calculated using cross tabulation. Results: The prevalence of hypoparathyroidism the first day after thyroidectomy was higher among patients treated for hyperthyroidism (30% vs 20%; P = 0.03). The optimal cut-off level for postoperative parathyroid hormone was 1.1 pmol/L (area under the curve = 0.887, 95% confidence interval: 0.839–0.934; positive predictive value: 88%, negative predictive value: 93%) for the entire cohort. When the groups were analyzed separately, the optimal cut-off was 1.05 for the non-hyperfunctioning group and 1.55 pmol/L for the group with hyperthyroidism. Twelve months after thyroidectomy, 3% were defined as having permanent hypoparathyroidism. Measurement of parathyroid hormone decline added diagnostic value for one patient with preoperative parathyroid-hormone-elevation associated with vitamin D deficiency. Conclusion: For patients with vitamin D sufficiency, the diagnostic accuracy of a single measurement of parathyroid hormone 2 h after thyroidectomy is an excellent indicator for predicting transient hypoparathyroidism.

scholarly journals Diagnostic Value of Pituitary Volume in Girls with Precocious Puberty

2019 ◽  
Author(s):  
Su Wu ◽  
Yan Yang ◽  
Yujiao Wang ◽  
Qianqi Liu ◽  
Zi-yang Zhu ◽  
...  
Keyword(s):  
Precocious Puberty ◽  
Univariate Analysis ◽  
Bone Age ◽  
Diagnostic Value ◽  
Analysis Model ◽  
Pediatric Endocrinology ◽  
Roc Curve Analysis ◽  
Diagnostic Significance ◽  
Premature Thelarche ◽  
Cutoff Value

Abstract Background: To investigate the diagnostic significance of pituitary magnetic resonance imaging (MRI) in girls with precocious puberty (PP). Methods: A total of 288 young female patients who presented to the Clinic of Pediatric Endocrinology for evaluation of PP from January 2015 to December 2017 were enrolled. All the subjects contained 90 girls diagnosed with premature thelarche (PT), 133 girls determined as idiopathic central precocious puberty (ICPP), 35 early pubertal girls, and 30 normal girls. All patients received pituitary MRI. Results: The largest pituitary volume (PV) and pituitary height were shown in the ICPP and pubertal groups, followed by the PT group. The receiver operating characteristic (ROC) curve analysis showed that PV might be a predictive marker for ICPP, with a sensitivity of 54.10% and a specificity of 72.20% at the cutoff value of 196.01 mm3. By univariate analysis, PV was significantly and positively associated with peak LH, LH/FSH, age, bone age, and BMI (all P < 0.05). However, bone age and peak LH were the only significant predictors of PV by the stepwise multivariate regression analysis (Model: PV = 9.431 * bone age + 1.230 * peak LH + 92.625 [P = 0.000, R2 = 0.159)). Conclusions: The PV in the ICPP group was significantly higher than that in the PT and control groups, but there was no reliable cutoff value to distinguish ICPP from PT. Pituitary MRI should be combined with clinical and laboratory tests to maximize the diagnostic value of PV for PP.

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