Temporalis muscle morphomics: the psoas of the craniofacial skeleton

Ranganathan, Kavitha; Terjimanian, Michael N.; Lisiecki, Jeffrey; Rinkinen, Jacob; Mukkamala, Anudeep; Brownley, Cameron; Buchman, Steven R.; Wang, Stewart C.; Levi, Benjamin

doi:10.1016/j.jss.2013.07.059

Cited by 79 publications

(69 citation statements)

References 25 publications

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“…We did not investigate the specific pathobiology of temporal muscle-wasting in our study, but we consider it likely to be reflective of a generalized cancer-associated sarcopenic state. This notion is supported by a previous study that showed a good correlation between skeletal muscle and TMT [13]. Of note, we did not find a correlation between corticosteroid intake at the diagnosis of brain metastasis and TMT.…”

Section: Discussionsupporting

confidence: 91%

“…In order to study such functional-anatomical relationships, prospective studies need to be designed. Furthermore, although a correlation between TMT and skeletal muscle measurements was established in a prior study [13], we were unable to confirm this association in our series. We could not, unfortunately, retrieve a sufficient number of CT scans of the abdomen from our patients, as these had been performed at external institutions in most cases.…”

Section: Discussioncontrasting

confidence: 79%

“…Moreover, the cross-sectional area of the psoas muscle at the level of lumbar vertebra L3 has also been determined to be a reliable marker of sarcopenia, thus increasing the practicality of the measurement in the routine clinical setting [12]. A recent study revealed a high correlation between the psoas muscle area and temporal muscle thickness (TMT), indicating that not only abdominal muscles but also craniofacial muscles are useful as indicators of patient frailty [13]. This would be advantageous, especially in patients with brain tumours, because TMT can be evaluated on routine brain CT or magnetic resonance imaging (MRI) examinations.…”

Section: Introductionmentioning

confidence: 99%

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Survival prediction using temporal muscle thickness measurements on cranial magnetic resonance images in patients with newly diagnosed brain metastases

et al. 2017

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ObjectivesTo evaluate the prognostic relevance of temporal muscle thickness (TMT) in brain metastasis patients.MethodsWe retrospectively analysed TMT on magnetic resonance (MR) images at diagnosis of brain metastasis in two independent cohorts of 188 breast cancer (BC) and 247 non-small cell lung cancer (NSCLC) patients (overall: 435 patients).ResultsSurvival analysis using a Cox regression model showed a reduced risk of death by 19% with every additional millimetre of baseline TMT in the BC cohort and by 24% in the NSCLC cohort. Multivariate analysis included TMT and diagnosis-specific graded prognostic assessment (DS-GPA) as covariates in the BC cohort (TMT: HR 0.791/CI [0.703–0.889]/p < 0.001; DS-GPA: HR 1.433/CI [1.160–1.771]/p = 0.001), and TMT, gender and DS-GPA in the NSCLC cohort (TMT: HR 0.710/CI [0.646–0.780]/p < 0.001; gender: HR 0.516/CI [0.387–0.687]/p < 0.001; DS-GPA: HR 1.205/CI [1.018–1.426]/p = 0.030).ConclusionTMT is easily and reproducibly assessable on routine MR images and is an independent predictor of survival in patients with newly diagnosed brain metastasis from BC and NSCLC. TMT may help to better define frail patient populations and thus facilitate patient selection for therapeutic measures or clinical trials. Further prospective studies are needed to correlate TMT with other clinical frailty parameters of patients.Key Points• TMT has an independent prognostic relevance in brain metastasis patients.• It is an easily and reproducibly parameter assessable on routine cranial MRI.• This parameter may aid in patient selection and stratification in clinical trials.• TMT may serve as surrogate marker for sarcopenia.Electronic supplementary materialThe online version of this article (doi:10.1007/s00330-016-4707-6) contains supplementary material, which is available to authorized users.

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Section: Discussionsupporting

confidence: 91%

Section: Discussioncontrasting

confidence: 79%

Section: Introductionmentioning

confidence: 99%

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Survival prediction using temporal muscle thickness measurements on cranial magnetic resonance images in patients with newly diagnosed brain metastases

et al. 2017

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“…It also must be borne in mind that protistological objects are exposed to those factors and thus one can speak about the Protozoa exposome and the Protozoa exposomics (Buck Louis, 2012;van Tongeren, 2012;Vrijheid, 2014) at phylogenetic (including the local adaptations or / and microevolution) and genetic levels, including biobehavioral and geospatial (in the frame of population biogeography) aspects (Stahler, 2013;Lyon, 2014). But even at this stage we can project the phenomic phenomena of the "normal" physiomics modified by exogenous exposomic factors influence on the morphology of single cell or Protozoa organization using the analytic morphomics (Engelsbe, 2012; Englesbe, 2012a;) and the timingbased analytic morphomic methodologies and approaches (Rinkinen, 2013;Ranganathan, 2014), interpolated from the human / animal (Metazoa) organization level to Protozoa considered both as the organisms and as single cells.…”

Section: Requirements On the Protistological "Omics"mentioning

confidence: 99%

Is it possible to consider «kinetomics» and «argyromics» as novel trends of functional morphology and systems biology of parasitic and nonparasitic protozoa? a brief analytical review

Градов¹

2016

Journal of Biomedical Technologies

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Abstract. This paper considers argyrophilic (i.e. stained by the silver nitrate) fibrils visualized by the well-known Klein method and later called neuroformative system of Protozoa, or neuroformium. Klein described the excitation wave propagation and coordination of the cilia moving by this network, as well as the main role in localization of the peristomes and the ciliar apparatus on the topographic microanatomy map of Protozoa before and after the cell division. However, in early 1930-th the advanced staining techniques revealed two components in the above mentioned fibrill network with the similar morphobiochemical parameters (within the limits of the silver nitrate staining selectivity), one of which provides the mechanical stabilization of the Protozoa body (a number of Paramecium species were found to possess even a third selectivelystained fiber system). This resulted in the introduction of the term "argyrome" by Chatton in 1936 for the complex of the argentophilic fibrils and a term "cinetome" for the subpellicular infraciliature. It is therefore more appropriate to speak about "kinetomics" and "argyromics" rather than of a single "omics" for all the intracellular networks of Protozoa. We consider the principles of introduction of the novel "-omics" in modern science and from the above standpoint discuss whether it is possible to consider "kinetomics" and "argyromics" as the novel trends of functional morphology and systems biology of Protozoa.

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“…Morphomic characteristics of the psoas muscle have also been shown to correlate with other measures of patient frailty and predict postsurgical outcomes [15–17]. Recently, we have shown that temporalis muscle dimensions may be used as a predictor of patient age and correlates well with psoas muscle characteristics [18]. Patients undergoing MHNCS often have preoperative computed tomography (CT) scans as part of their routine work up.…”

Section: Introductionmentioning

confidence: 99%

Morphomic analysis as an aid for preoperative risk stratification in patients undergoing major head and neck cancer surgery

Rinkinen

Agarwal

Beauregard

et al. 2015

Journal of Surgical Research

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Background Patients undergoing major head and neck cancer surgery (MHNCS) may develop significant postoperative complications. To minimize the risk of complications, clinicians often assess multiple measures of preoperative health in terms of medical comorbidities. One emerging method to decrease surgical complications is preoperative assessment of patient frailty measured by specific tissue characteristics. We hypothesize that morphomic characteristics of the temporalis region serve as predictive markers for the development of complications after MHNCS. Methods We performed a retrospective review of 69 patients with available computed tomography (CT) imaging who underwent MHNCS from 2006–2012. To measure temporalis region characteristics, we used morphomic analysis of available preoperative CT scans to map out the region. All available CT scans had been performed as part of the patient’s routine work-up and were not ordered for morphomic analysis. We describe the correlation among temporalis fat pad volume (TFPV), mean zygomatic arch thickness, and incidence of postoperative complications. Results We noted significant difference in the zygomatic bone thickness and TFPV between patients who had medical complications, surgical complications, or total major complications and those who did not. Furthermore, by use of binary logistic regression, our data suggest decreased TFPV and zygomatic arch thickness are stronger predictors of developing postoperative complications than previously studies preoperative characteristics. Conclusions We describe morphomic analysis of the temporalis region in patients undergoing MHNCS to identify patients at risk for complications. Regional anatomic morphology may serve as a marker to objectively determine a patient’s overall health. Use of the temporalis region is appropriate in patients undergoing MHNCS because of the availability of preoperative scans as part of routine work up for head and/or neck cancer.

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Temporalis muscle morphomics: the psoas of the craniofacial skeleton

Cited by 79 publications

References 25 publications

Survival prediction using temporal muscle thickness measurements on cranial magnetic resonance images in patients with newly diagnosed brain metastases

Survival prediction using temporal muscle thickness measurements on cranial magnetic resonance images in patients with newly diagnosed brain metastases

Is it possible to consider «kinetomics» and «argyromics» as novel trends of functional morphology and systems biology of parasitic and nonparasitic protozoa? a brief analytical review

Morphomic analysis as an aid for preoperative risk stratification in patients undergoing major head and neck cancer surgery

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