Muscle mass estimation on breast magnetic resonance imaging in breast cancer patients: comparison between psoas muscle area on computer tomography and pectoralis muscle area on MRI

Rossi, Federica; Valdora, Francesca; Barabino, Emanuele; Calabrese, Massimo; Tagliafico, Alberto

doi:10.1007/s00330-018-5663-0

Cited by 22 publications

(19 citation statements)

References 28 publications

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“…Chang et al (3) suggested that axillary imaging warrants consideration of at least axillary level I or II to examine lymphadenopathy. A degraded muscular status may be indicative of a shorter time of progression (34). Because the structure of pectoralis muscles is anatomically well visualized on CBBCT scans, we also incorporated the tumor involvement of this feature into our analyses to study its correlation with LN metastasis.…”

Section: Discussionmentioning

confidence: 99%

Establishment and Validation of The Axillary Lymph Node Burden Using Cone-Beam Computerized Tomography and Ultrasound-Based Prediction Models in T1-2 Breast Cancer Patients

Shen

Cai

et al. 2021

Preprint

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Background: This study aimed to develop and validate models to preoperatively predict the risk of the lymph node (LN) burden based on the Z0011 clinical trial to assist breast cancer surgical decision-making.Methods: Data on 1394 consecutive patients who presented at Sun Yat-sen University Cancer Center for Cone-beam breast computerized tomography (CBBCT) examinations between April 3, 2019, and July 17, 2020, were retrospectively collected. 387 patients who met the inclusion criteria were included and randomly divided into training and validation cohorts. Clinical-pathological information of all patients was recorded, and images were reinterpreted in this study. A bidirectional stepwise method followed by multi-variable analysis was used to incorporate preoperative features and build optimal model sets with the training cohort for prediction of N0 versus N+ and N＜3 versus N≥3.Results: The ROC curves of two models were generated with the training cohort, and their calibration abilities were estimated using 1000 bootstrap resamples. The bias-corrected C-index of the models were 0.779 (95% CI, 0.752–0.793) in model one and 0.809 (95% CI, 0.794–0.833) in model two for the training cohort. Decision curves and clinical impact curves were plotted to evaluate prediction performance for further clinical application. Delong’s test showed comparable performance of both cohorts.Conclusions: Our models were developed as reliable and noninvasive tools for the preoperative prediction of nodal status, and we hope that they can serve as useful tools for the early planning of treatment strategies for breast cancer patients.

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Section: Discussionmentioning

confidence: 99%

Establishment and Validation of The Axillary Lymph Node Burden Using Cone-Beam Computerized Tomography and Ultrasound-Based Prediction Models in T1-2 Breast Cancer Patients

Shen

Cai

et al. 2021

Preprint

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“…Traditionally, MRIs have been used for muscle quality and quantity evaluations of neuromuscular disorders [58][59][60]. Furthermore, an MRI-only assessed sarcopenia is an important prognostic factor in many types of cancer, including breast cancer, head and neck cancer, and colorectal cancer [61][62][63]. However, this method remains in the early stages for studying sarcopenia in chronic liver disease.…”

Section: Mrimentioning

confidence: 99%

Radiologic Definition of Sarcopenia in Chronic Liver Disease

Lee

Kang

Kim

2021

Life

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Sarcopenia is prevalent in patients with chronic liver disease, and affected patients tend to have worse clinical outcomes and higher mortality. However, relevant analyses are limited by heterogeneity in the definition of sarcopenia and in the methodological approaches in assessing it. We reviewed several radiologic methods for sarcopenia in patients with chronic liver disease. Dual energy X-ray absorptiometry (DXA) can measure muscle mass, but it is difficult to evaluate muscle quality using this technique. Computed tomography, known as the gold standard for diagnosing sarcopenia, enables the objective measurement of muscle quantity and quality. The third lumbar skeletal muscle index (L3 SMI) more accurately predicted the mortality of subjects than the psoas muscle index (PMI). Few studies have evaluated the sarcopenia of chronic liver disease using ultrasonography and magnetic resonance imaging, and more studies are needed. Unification of the measurement method and cut-off value would facilitate a more systematic and universal prognosis evaluation in patients with chronic liver disease.

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“…The difference was initially not significant at 7 then 14 days but diverged over time and was significantly different at 21 days (PO-S 3% vs PO-NS 7%, p=0.016) and 3 months (PO-S 7% vs PO-NS 17%, p=0.016) [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. Both PG-SGA and HGS did not correlate with sarcopenia in the postoperative period.…”

Section: Postoperative Nutrition Related Outcomesmentioning

confidence: 99%

“…A common complication in oncology patients is a reduction in body stores, including muscle wasting and subcutaneous fat loss [5]. Sarcopenia is defined by progressive and generalised loss of skeletal muscle mass and strength with a risk of adverse outcomes such as physical disability, poor quality of life, and death [6].…”

Section: Introductionmentioning

confidence: 99%

Pre and Postoperative Muscle Wastage and Sarcopenia Using CT Scans in Patients Undergoing Pelvic Exenteration Surgery

Hogan¹,

Farag²,

Wilton³

et al. 2020

JSCR

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Background: Sarcopenia is associated with poor postoperative outcomes in oncology patients. Computed tomography (CT) scans can be used to identify muscle wasting and sarcopenia. This study aimed to investigate if pelvic exenteration surgery leads to muscle wastage and thus, induction or exacerbation of sarcopenia. Methods: This is a retrospective review involving the analysis of CT scans before and after pelvic exenteration surgery to determine skeletal muscle index and diagnose sarcopenia. Other clinical and nutritional factors were collected. Results: A total of 34 patients met the inclusion criteria. Postoperative skeletal muscle index was significantly lower compared to preoperative skeletal muscle index (p=0.008). The incidence of sarcopenia was 62% preoperatively and rose to 74% postoperatively (p=0.073). Postoperative sarcopenia was not significantly associated with complications or mortality. Conclusion: The skeletal muscle index significantly decreased postoperatively, indicating that pelvic exenteration surgery leads to muscle wastage. The use of CT scans to recognise sarcopenia would allow focusing of resources for those at risk.

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Muscle mass estimation on breast magnetic resonance imaging in breast cancer patients: comparison between psoas muscle area on computer tomography and pectoralis muscle area on MRI

Abstract: • Pectoralis muscle area can be estimated on breast MRI • Total psoas area on CT and pectoralis muscle area on MRI are strongly correlated • Pectoralis muscle area on breast MRI could estimate the skeletal muscle mass.

Cited by 22 publications

References 28 publications

Establishment and Validation of The Axillary Lymph Node Burden Using Cone-Beam Computerized Tomography and Ultrasound-Based Prediction Models in T1-2 Breast Cancer Patients

Establishment and Validation of The Axillary Lymph Node Burden Using Cone-Beam Computerized Tomography and Ultrasound-Based Prediction Models in T1-2 Breast Cancer Patients

Radiologic Definition of Sarcopenia in Chronic Liver Disease

Pre and Postoperative Muscle Wastage and Sarcopenia Using CT Scans in Patients Undergoing Pelvic Exenteration Surgery

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