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Dive into the research topics where Jose L. Bohorquez is active.

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Featured researches published by Jose L. Bohorquez.


Muscle & Nerve | 2015

Electrical impedance myography in Duchenne muscular dystrophy and healthy controls: A multicenter study of reliability and validity.

Craig M. Zaidman; Lucy L. Wang; Anne M. Connolly; Julaine Florence; Brenda Wong; Julie Parsons; Susan D. Apkon; Namita Goyal; Eugene Williams; Diana M. Escolar; Seward B. Rutkove; Jose L. Bohorquez

Introduction: Electrical impedance myography (EIM) is a non‐invasive, painless, objective technique to quantify muscle pathology. Methods: We measured EIM in 8 arm and leg muscles in 61 boys with Duchenne muscular dystrophy (DMD) and 31 healthy boys, ages 3–12 years, at 5 centers. We determined the reliability of EIM and compared results in boys with DMD to controls and to 6‐minute walk distance (6MWD), North Star Ambulatory Assessment (NSAA), timed functional tests (TFTs), and strength (hand‐held dynamometry). Results: EIM was well tolerated and had good inter‐ and intrarater reliability (intraclass correlation coefficient 0.81–0.96). The averaged EIM phase value from all muscles was higher (P < 0.001) in controls (10.45 ± 2.29) than boys with DMD (7.31 ± 2.23), and correlated (P ≤ 0.001) with 6MWD (r = 0.55), NSAA (r = 0.66), TFTs (r = –0.56), and strength (r = 0.44). Conclusion: EIM is a reliable and valid measure of disease severity in DMD. Longitudinal studies comparing EIM with other assessments over time in DMD are warranted. Muscle Nerve 52: 592–597, 2015


Amyotrophic Lateral Sclerosis | 2018

Reducing sample size requirements for future ALS clinical trials with a dedicated electrical impedance myography system

Jeremy M. Shefner; Seward B. Rutkove; James B. Caress; Michael Benatar; William S. David; Michael C. Cartwright; Eric A. Macklin; Jose L. Bohorquez

Abstract Objective: In this longitudinal multicenter cohort study, we evaluated the potential of a dedicated electrical impedance myography (EIM) device to assess ALS progression and the system’s basic reproducibility and diagnostic accuracy. Methods: Forty-six ALS patients underwent up to five sequential measurements of multiple muscles over a period of 8 months at 2-month intervals using the mView EIM device (Myolex, Inc., San Francisco, CA). Standard measures of disease status were also obtained. A group of 30 healthy volunteers and 30 ALS-mimics were evaluated once to determine if the technique could assist with initial diagnosis. Several electrode arrays and EIM outcomes were assessed. Results: EIM tracked ALS progression; power analyses suggested a 5.2-fold reduction in sample size requirements compared to ALSFRS-R by utilizing 50 kHz phase value from the muscle with the greatest EIM decline in each subject. This progression rate correlated to total ALSFRS-R progression, with R = 0.371, p = 0.021. Reproducibility was high, with both intra- and inter-rater intraclass correlation coefficients for individual muscles mostly greater than 0.90. The mean 50 kHz phase distinguished between ALS patients and healthy controls (area-under-curve 0.78, 95% confidence intervals (CIs) 0.68, 0.89), but not between mimics and ALS patients (area-under-curve 0.60, 95% CIs 0.47, 0.73). Conclusions: While limited in its specificity to identify ALS versus disease mimics, these results support the hypothesis that single-muscle EIM can serve as a convenient, repeatable, and powerful outcome measure in ALS clinical trials.


Muscle & Nerve | 2015

Electrical impedance myography in duchenne muscular dystrophy and healthy controls

Craig M. Zaidman; Lucy L. Wang; Anne M. Connolly; Julaine Florence; Brenda Wong; Julie Parsons; Susan D. Apkon; Namita Goyal; Eugene Williams; Diana M. Escolar; Seward B. Rutkove; Jose L. Bohorquez; Betsy C. Malkus; Catherine Siener; Jeanine Schierbecker; Lisa Stover; P. Morehart; Lauren E. Miller; Michele Yang; Carry Terri; Melissa Gibbons; Leslie Vogel; Randal C. Richardson; Elise L. Townsend

Introduction: Electrical impedance myography (EIM) is a non‐invasive, painless, objective technique to quantify muscle pathology. Methods: We measured EIM in 8 arm and leg muscles in 61 boys with Duchenne muscular dystrophy (DMD) and 31 healthy boys, ages 3–12 years, at 5 centers. We determined the reliability of EIM and compared results in boys with DMD to controls and to 6‐minute walk distance (6MWD), North Star Ambulatory Assessment (NSAA), timed functional tests (TFTs), and strength (hand‐held dynamometry). Results: EIM was well tolerated and had good inter‐ and intrarater reliability (intraclass correlation coefficient 0.81–0.96). The averaged EIM phase value from all muscles was higher (P < 0.001) in controls (10.45 ± 2.29) than boys with DMD (7.31 ± 2.23), and correlated (P ≤ 0.001) with 6MWD (r = 0.55), NSAA (r = 0.66), TFTs (r = –0.56), and strength (r = 0.44). Conclusion: EIM is a reliable and valid measure of disease severity in DMD. Longitudinal studies comparing EIM with other assessments over time in DMD are warranted. Muscle Nerve 52: 592–597, 2015


Muscle & Nerve | 2015

Electrical impedance myography in duchenne muscular dystrophy and healthy controls: A multicenter study of reliability and validity: EIM in DMD and Healthy Controls

Craig M. Zaidman; Lucy L. Wang; Anne M. Connolly; Julaine Florence; Brenda Wong; Julie Parsons; Susan D. Apkon; Namita Goyal; Eugene Williams; Diana M. Escolar; Seward B. Rutkove; Jose L. Bohorquez

Introduction: Electrical impedance myography (EIM) is a non‐invasive, painless, objective technique to quantify muscle pathology. Methods: We measured EIM in 8 arm and leg muscles in 61 boys with Duchenne muscular dystrophy (DMD) and 31 healthy boys, ages 3–12 years, at 5 centers. We determined the reliability of EIM and compared results in boys with DMD to controls and to 6‐minute walk distance (6MWD), North Star Ambulatory Assessment (NSAA), timed functional tests (TFTs), and strength (hand‐held dynamometry). Results: EIM was well tolerated and had good inter‐ and intrarater reliability (intraclass correlation coefficient 0.81–0.96). The averaged EIM phase value from all muscles was higher (P < 0.001) in controls (10.45 ± 2.29) than boys with DMD (7.31 ± 2.23), and correlated (P ≤ 0.001) with 6MWD (r = 0.55), NSAA (r = 0.66), TFTs (r = –0.56), and strength (r = 0.44). Conclusion: EIM is a reliable and valid measure of disease severity in DMD. Longitudinal studies comparing EIM with other assessments over time in DMD are warranted. Muscle Nerve 52: 592–597, 2015


Archive | 2012

DEVICES AND METHODS FOR EVALUATING TISSUE

Jose L. Bohorquez; Al-Thaddeus Avestruz; Michael Rinehart; Seward B. Rutkove; Elmer C. Lupton


Archive | 2016

DEVICES AND METHODS FOR MEASURING BIOIMPEDANCE-RELATED PROPERTIES OF BODY TISSUE AND DISPLAYING FAT AND MUSCLE PERCENTAGES AND MUSCLE QUALITY OF BODIES AND BODY REGIONS

Jose L. Bohorquez; Juan Jaramillo; Gonzalo Cespedes; Yensy Hall; Stanislava Darashkevich; Elmer C. Lupton; Seward B. Rutkove


Archive | 2013

SYSTEMS, METHODS, AND SENSORS FOR MEASURING TISSUE

Jose L. Bohorquez; Michael Rinehart; Ken Li; Haydn Taylor; Elmer C. Lupton


Archive | 2015

SYSTEMS AND METHODS FOR MEASUREMENT OF BIOIMPEDANCE

Jose L. Bohorquez; Juan Jaramillo; Elmer C. Lupton; Seward B. Rutkove; Haydn Taylor; Gonzalo Cespedes; Cary Liberman; Dmitri Khrebtukov; Claudio Cassina; Yensy Hall; Stanislava Darashkevich


Archive | 2018

High Performance Sensors for Electrical Impedance Myography

Elmer C. Lupton; Haydn Taylor; Jose L. Bohorquez; Ken Li; Michael Rinehart


Neurology | 2017

A dedicated electrical impedance myography device in the assessment of Duchenne muscular dystrophy. (P5.102)

Craig M. Zaidman; Seward B. Rutkove; Julaine Florence; Anne M. Connolly; Brenda Wong; Michele Yang; Basil T. Darras; Kush Kapur; Jose L. Bohorquez

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Seward B. Rutkove

Beth Israel Deaconess Medical Center

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Anne M. Connolly

Washington University in St. Louis

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Brenda Wong

Cincinnati Children's Hospital Medical Center

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Craig M. Zaidman

Washington University in St. Louis

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Julaine Florence

Washington University in St. Louis

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Diana M. Escolar

Children's National Medical Center

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Julie Parsons

University of Colorado Denver

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Lucy L. Wang

Beth Israel Deaconess Medical Center

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Michael Rinehart

Massachusetts Institute of Technology

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