Dataset Information

Exploring a simplified way to diagnose pelvic lipomatosis: prediction of pelvic fat volume using a single cross-sectional image.

ABSTRACT:

Background

Pelvic lipomatosis (PL) is a rare disease characterized by the overgrowth of pelvic adipose tissue (AT). We investigated the relationships between areas of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) and pelvic fat volume (PFV), and analyzed the feasibility of diagnosing PL from a single cross-sectional image.

Methods

The study included 50 patients and 50 controls. We used nnU-Net to segment SAT and VAT automatically. L3 vertebra was set as the zero point (L₀), and a total of 201 slices were obtained with a 1 mm interval (L_-100 - L₊₁₀₀). We selected 5 pelvic slices, including slices of the anterior superior margin of the S1-S4 vertebrae and the slice above the bilateral femoral head (FH). SAT areas, VAT areas, and PFVs were calculated by computational software. Areas and volumes of 2 groups were compared by t-test or rank-sum test. The correlations among areas and PFV were calculated. Logistic regression models were developed to identify the best slice for predicting PL. Receiver operating characteristic (ROC) curves were performed, and the area under the curve (AUC) and thresholds [with sensitivity (SEN) and specificity (SPE)] were calculated.

Results

VAT areas of L_-94 - L_-100, L₊₇₉ - L₊₁₀₀, S1-S4, and FH indicated statistical differences between patients and controls (P<0.05). The linear regression model with VAT area as the independent variable was established to estimate PFV (FH level: r=0.745, P<0.001, R²=0.555). Among the univariate logistic regression models, VAT area at FH as the independent variable had the highest performance in predicting PL (AUC: 0.893, SEN: 74%, SPE: 94%), followed by S4 level (AUC: 0.800, SEN: 88%, SPE: 66%). The overall accuracy of the logistic regression model including VAT areas at S4 and FH in predicting PL was 88% (AUC: 0.927, SEN: 90%, SPE: 88%).

Conclusions

VAT areas at the level of FH can help estimate the value of PFV. VAT areas of S4 and FH provide greater power than a single image for the diagnosis of PL.

SUBMITTER: Bai X

PROVIDER: S-EPMC10722009 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature

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Publications

Exploring a simplified way to diagnose pelvic lipomatosis: prediction of pelvic fat volume using a single cross-sectional image.

Bai Xin X Fu Rui R Zhang Gumuyang G Xu Lili L Zhang Jiahui J Zhang Xiaoxiao X Chen Li L Peng Qianyu Q Jin Zhengyu Z Sun Hao H

Quantitative imaging in medicine and surgery 20231007 12

<h4>Background</h4>Pelvic lipomatosis (PL) is a rare disease characterized by the overgrowth of pelvic adipose tissue (AT). We investigated the relationships between areas of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) and pelvic fat volume (PFV), and analyzed the feasibility of diagnosing PL from a single cross-sectional image.<h4>Methods</h4>The study included 50 patients and 50 controls. We used nnU-Net to segment SAT and VAT automatically. L3 vertebra was set as the z ...[more]

PMID: 38106255

Similar Datasets

Project description:BackgroundPelvic lipomatosis (PL) is a rare condition that is characterized by excessive growth of fat in the pelvic cavity. Studies have yet to systematically review surgical treatments for PL.ObjectivesTo provide a reference for selecting reasonable surgical treatments for PL patients according to previous literature on the surgical treatment of PL.Design and methodsWe conducted this systematic review in accordance with the Preferred Reporting Items for a Systematic Review and Meta-Analysis (PRISMA) of Individual Participant Data guidelines. Literature on PL published from 1968 to 2022 was retrieved from the PubMed and EMBASE databases. Data were collected and analyzed independently by two independent investigators.ResultsA total of 42 studies, involving 231 patients with PL, were included in the analysis. The surgical treatments included transurethral resection (TUR) (48.5%), ureteral stent placement (11.7%), percutaneous nephrostomy (1.3%), ureterocutaneostomy (1.3%), ureteral reimplantation (10.4%), ileal conduit (13%), and allograft kidney transplantation (0.4%). After excluding patients with unclear prognoses, 42.9% of patients showed improvement in lower urinary tract symptoms (LUTS) after TUR. Ureteral stent placement provided relief of hydronephrosis in 62.5% of PL patients. Percutaneous nephrostomy resulted in stable renal function in 33.3% of PL patients, while ureterocutaneostomy led to remission of postoperative hydronephrosis in 33.3% of PL patients. After ureteral reimplantation, 70.8% of patients experienced relief of hydronephrosis or had stable renal function. Ileal conduit led to remission of hydronephrosis, alleviation of symptoms, or maintenance of stable renal function in 83.3% of PL patients. One patient with PL had stable renal function after allograft renal transplantation.ConclusionThe surgical treatments for PL include TUR, ureteral stent placement, urinary diversion, and allograft renal transplantation. However, the choice of surgical method should be determined after comprehensive consideration of the patient's condition.

Dataset Information

Exploring a simplified way to diagnose pelvic lipomatosis: prediction of pelvic fat volume using a single cross-sectional image.

Background

Methods

Results

Conclusions

Publications

Exploring a simplified way to diagnose pelvic lipomatosis: prediction of pelvic fat volume using a single cross-sectional image.

Similar Datasets

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