scholarly journals Computed tomography-derived assessments of regional muscle volume: Validating their use as predictors of whole body muscle volume in cancer patients

2018 ◽  
Vol 91 (1092) ◽  
pp. 20180451 ◽  
Author(s):  
Darragh F Halpenny ◽  
Marcus Goncalves ◽  
Emily Schwitzer ◽  
Jennifer Golia Pernicka ◽  
Jasmyne Jackson ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Cancer Patients ◽  
Muscle Volume ◽  
Whole Body ◽  
Body Muscle ◽  
Regional Muscle

scholarly journals The Added Benefit of Hybrid SPECT/CT in the Diagnosis of Bone Metastasis in Patients with Breast Cancer

2015 ◽  
Vol 17 (1) ◽  
pp. 38-49
Author(s):  
Nasim Khan ◽  
SM Moinul Islam ◽  
Abrar Al Sakib ◽  
Saiyeeda Mahmood ◽  
Gazi Abul Hossian ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Computed Tomography ◽  
Nuclear Medicine ◽  
Breast Carcinoma ◽  
Cancer Patients ◽  
Bone Scintigraphy ◽  
Whole Body ◽  
Emission Computed Tomography ◽  
Breast Cancer Patients ◽  
Medicine Physician

The purpose of this study was to investigate the additional benefit of single photon emission computed tomography/computed tomography (SPECT/CT) over whole-body planar bone scintigraphy (planar BS) and SPECT for the detection of bone metastases in breast cancer patients. Materials & methods: Of 112 consecutively examined patients with histologically confirmed breast carcinoma who underwent bone scintigraphy, 39 required further evaluation by SPECT/CT (n= 23) and SPECT alone (n = 16) because a definite diagnosis could not be established using whole body planar BS alone. The 23 SPECT/CT studies were retrospectively evaluated by two nuclear medicine physicians for planar BS and SPECT images, and one nuclear medicine physician and one radiologist for SPECT/CT on consensus. Each focus of abnormal tracer uptake was recorded for differentiating malignant from benign bone lesions. Clinical and imaging follow-up were used as a reference standard. Results: A total of 72 lesions were evaluated in 23 patients examined by three types of imaging modalities. In 57 of the 72 evaluated lesions, the results of planar BS, SPECT and SPECT/CT were concordant; 52 of the 57 lesions were interpreted as malignant and 5 lesions as benign by all modalities. In 15 of the 72 lesions, consensus reading of fused SPECT/CT images changed the image interpretation of 15 planar BS scans and 9 of the 15 SPECT scans: 7 lesions previously interpreted as benign (on both planar BS and SPECT) were re-classified as malignant and 8 lesions (8 by planar BS and 2/8 by SPECT) previously interpreted as malignant were reevaluated as benign. The highest diagnostic gain was in the thoracolumbar spine, thoracic cage & pelvis. The overall accuracy of SPECT/CT was significantly higher on a lesion-based analysis than planar BS and SPECT (100%vs 79%, p < 0.0001 and 100% vs 83%, p = 0.003). Compared to planar BS and SPECT, the results of SPECT/CT changed diagnosis or treatment in 5/23 patients (21.7%). 39 Conclusion: The hybrid imaging system with SPECT/CT is a feasible technique yielding coregistered dual-modality images. The addition of SPECT/CT improves the diagnostic accuracy for the correct interpretation of bony lesions in breast cancer patients undergoing bone scanning for metastases. SPECT/CT should be routinely used in the work up of postoperative breast carcinoma patients with simultaneous CT evaluation to identify metastatic lesions not detected on bone scintigraphy. DOI: http://dx.doi.org/10.3329/bjnm.v17i1.22490 Bangladesh J. Nuclear Med. 17(1): 38-49, January 2014

Automatic and quantitative assessment of regional muscle volume by multi-atlas segmentation using whole-body water-fat MRI

2014 ◽  
Vol 41 (6) ◽  
pp. 1558-1569 ◽  
Author(s):  
Anette Karlsson ◽  
Johannes Rosander ◽  
Thobias Romu ◽  
Joakim Tallberg ◽  
Anders Grönqvist ◽  
...  
Keyword(s):  
Quantitative Assessment ◽  
Body Water ◽  
Muscle Volume ◽  
Whole Body ◽  
Atlas Segmentation ◽  
Regional Muscle

A practical and precise approach to quantification of body composition in cancer patients using computed tomography images acquired during routine care

2008 ◽  
Vol 33 (5) ◽  
pp. 997-1006 ◽  
Author(s):  
Marina Mourtzakis ◽  
Carla M.M. Prado ◽  
Jessica R. Lieffers ◽  
Tony Reiman ◽  
Linda J. McCargar ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Body Composition ◽  
Cancer Patients ◽  
Regional Analysis ◽  
Lumbar Vertebra ◽  
Ct Images ◽  
Fat Free Mass ◽  
Practical Significance ◽  
Whole Body ◽  
Computed Tomography Images

Human body composition is important in numerous cancer research domains. Our objective was to evaluate clinically accessible methods to achieve practical and precise measures of body composition in cancer patients. Dual-energy X-ray absorptiometry (DXA)-based analysis of fat and fat-free mass was performed in 50 cancer patients and compared with bioelectrical impedance analysis (BIA) and with regional computed tomography (CT) images available in the patients’ medical records. BIA overestimated or underestimated fat-free mass substantially compared with DXA as the method of reference (up to 9.3 kg difference). Significant changes in fat-free mass over time detected with DXA in a subset of 21 patients (+2.2 ± 3.2%/100 days, p = 0.003), was beyond the limits of detection of BIA. Regional analysis of fat and fat-free tissue at the 3rd lumbar vertebra with either DXA or CT strongly predicted whole-body fat and fat-free mass (r = 0.86–0.94; p < 0.001). CT images provided detail on specific muscles, adipose tissues and organs, not provided by DXA or BIA. CT presents great practical significance due to the prevalence of these images in patient diagnosis and follow-up, thus marrying clinical accessibility with high precision to quantify specific tissues and to predict whole-body composition.

The use of alternate vertebral levels to L3 in computed tomography scans for skeletal muscle mass evaluation and sarcopenia assessment in patients with cancer: a systematic review

2021 ◽  
pp. 1-49
Author(s):  
Belinda Vangelov ◽  
Judy Bauer ◽  
Damian Kotevski ◽  
Robert I. Smee
Keyword(s):  
Computed Tomography ◽  
Skeletal Muscle ◽  
Ct Scan ◽  
Cancer Patients ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Whole Body ◽  
Ct Scans ◽  
Cross Sectional ◽  
Patients With Cancer

ABSTRACT Body composition measurement using diagnostic computed tomography (CT) scans has emerged as a method to assess sarcopenia (low muscle mass) in oncology patients. Assessment of skeletal muscle mass (SMM) using the cross-sectional area (CSA) of a single vertebral slice (at lumbar L3) in a CT scan is correlated to whole body skeletal muscle volume. This method is used to assess CT-defined sarcopenia in patients with cancer, with low SMM effecting outcomes. However, as diagnostic scans are based on tumour location, not all include L3. We evaluated the evidence for the use of alternate vertebral CT slices for SMM evaluation when L3 is not available. Five electronic databases were searched from Jan 1996-April 2020 for studies using CT scan vertebral slices above L3 for SM measurement in adults with cancer (solid tumours). Validation with whole body SMM, rationale for the chosen slice, and sarcopenia cut-off values were investigated. Thirty-two studies were included, all retrospective and cross-sectional in design. Cervical, thoracic, and lumbar slices were used (from C3-L1), with no validation of whole body SMM using CT scans. Alternate slices were used in lung, and head and neck cancer patients. Sarcopenia cut-off values were reported in 75% of studies, with differing methods, with or without sex-specific values, and a lack of consensus. Current evidence is inadequate to provide definitive recommendations for alternate vertebral slice use for SMM evaluation in cancer patients. Variation in sarcopenia cut-offs warrants more robust investigation, in order for risk stratification to be applied to all patients with cancer.

scholarly journals Excess of radiation burden for young testicular cancer patients using automatic exposure control and contrast agent on whole-body computed tomography imaging

2017 ◽  
Vol 51 (2) ◽  
pp. 235-240
Author(s):  
Hannele Niiniviita ◽  
Jarmo Kulmala ◽  
Tuukka Pölönen ◽  
Heli Määttänen ◽  
Hannu Järvinen ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Testicular Cancer ◽  
Contrast Agent ◽  
Cancer Patients ◽  
Whole Body ◽  
Exposure Control ◽  
Automatic Exposure Control ◽  
Whole Body Ct ◽  
Patient Size ◽  
Body Ct

Abstract Background The aim of the study was to assess patient dose from whole-body computed tomography (CT) in association with patient size, automatic exposure control (AEC) and intravenous (IV) contrast agent. Patients and methods Sixty-five testicular cancer patients (mean age 28 years) underwent altogether 279 whole-body CT scans from April 2000 to April 2011. The mean number of repeated examinations was 4.3. The GE LightSpeed 16 equipped with AEC and the Siemens Plus 4 CT scanners were used for imaging. Whole-body scans were performed with (216) and without (63) IV contrast. The ImPACT software was used to determine the effective and organ doses. Results Patient doses were independent (p < 0.41) of patient size when the Plus 4 device (mean 7.4 mSv, SD 1.7 mSv) was used, but with the LightSpeed 16 AEC device, the dose (mean 14 mSv, SD 4.6 mSv) increased significantly (p < 0.001) with waist cirfumference. Imaging with the IV contrast agent caused significantly higher (13% Plus 4, 35% LightSpeed 16) exposure than non-contrast imaging (p < 0.001). Conclusions Great caution on the use of IV contrast agent and careful set-up of the AEC modulation parameters is recommended to avoid excessive radiation exposure on the whole-body CT imaging of young patients.

Revalidation of PET/computed tomography criteria (Hopkins criteria) for the assessment of therapeutic response in lung cancer patients

2020 ◽  
Vol 41 (1) ◽  
pp. 18-25
Author(s):  
Khulood Al Riyami ◽  
Noor Al Nuaimi ◽  
Ruta Kliokyte ◽  
Stefan Voo ◽  
Andrew Thornton ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Lung Cancer ◽  
Cancer Patients ◽  
Therapeutic Response ◽  
Lung Cancer Patients

scholarly journals Initial results from a prototype whole-body photon-counting computed tomography system

2015 ◽  
Author(s):  
Z. Yu ◽  
S. Leng ◽  
S. M. Jorgensen ◽  
Z. Li ◽  
R. Gutjahr ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Photon Counting ◽  
Whole Body ◽  
Tomography System ◽  
Initial Results
Sign in / Sign up

Export Citation Format

Share Document