Nothing Special   »   [go: up one dir, main page]

Kozlow et al., 2014 - Google Patents

Cross-sectional area of the abdomen predicts complication incidence in patients undergoing sternal reconstruction

Kozlow et al., 2014

View HTML
Document ID
16978677831514433816
Author
Kozlow J
Lisiecki J
Terjimanian M
Rinkinen J
Brownley R
Agarwal S
Wang S
Levi B
Publication year
Publication venue
journal of surgical research

External Links

Snippet

Background Sternal reconstruction with vascularized flaps is central to the management of sternal wound infections and mediastinitis but carries a high risk of complications. There is a need to identify reliable predictors of complication risk to help inform patients and clinicians …
Continue reading at www.ncbi.nlm.nih.gov (HTML) (other versions)

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves
    • A61B5/053—Measuring electrical impedance or conductance of a portion of the body
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves
    • A61B5/0507—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves using microwaves or terahertz waves
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/41—Detecting, measuring or recording for evaluating the immune or lymphatic systems
    • A61B5/414—Evaluating particular organs or parts of the immune or lymphatic systems
    • A61B5/417—Evaluating particular organs or parts of the immune or lymphatic systems the bone marrow
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/08—Detecting organic movements or changes, e.g. tumours, cysts, swellings
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345—Medical expert systems, neural networks or other automated diagnosis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/3437—Medical simulation or modelling, e.g. simulating the evolution of medical disorders
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B17/00—Surgical instruments, devices or methods, e.g. tourniquets

Similar Documents

Publication Publication Date Title
Wilson et al. Obesity and prostate cancer: A narrative review
Margadant et al. Lower muscle density is associated with major postoperative complications in older patients after surgery for colorectal cancer
Lobastov et al. Validation of the Caprini risk assessment model for venous thromboembolism in high-risk surgical patients in the background of standard prophylaxis
Snyder et al. Predicting fracture through benign skeletal lesions with quantitative computed tomography
Hyacinthe et al. Diagnostic accuracy of ultrasonography in the acute assessment of common thoracic lesions after trauma
Kneubil et al. Breast cancer subtype approximations and loco-regional recurrence after immediate breast reconstruction
Prat et al. Can lung ultrasonography predict prone positioning response in acute respiratory distress syndrome patients?
Huang et al. Value of muscle quality, strength and gait speed in supporting the predictive power of GLIM-defined malnutrition for postoperative outcomes in overweight patients with gastric cancer
Hu et al. Nomogram for individualised prediction of liver failure risk after hepatectomy in patients with resectable hepatocellular carcinoma: the evidence from ultrasound data
Kozlow et al. Cross-sectional area of the abdomen predicts complication incidence in patients undergoing sternal reconstruction
Loh et al. Existing trauma and critical care scoring systems underestimate mortality among vascular trauma patients
Barnes et al. Determining the impact of sarcopenia on postoperative complications after ventral hernia repair
Yoon et al. Correlation of ICG lymphography and lymphoscintigraphy severity stage in secondary upper limb lymphedema
Ferrero et al. Quantitative prediction of stone fragility from routine dual energy CT: ex vivo proof of feasibility
Miller et al. A quantitative tool to assess degree of sarcopenia objectively in patients with hypercortisolism
Sebro et al. Machine learning for the prediction of osteopenia/osteoporosis using the CT attenuation of multiple osseous sites from chest CT
Gopalakrishnan et al. Use of CT imaging to quantify progression and response to treatment in lymphangioleiomyomatosis
Wang et al. Prediction of the early recurrence in spinal giant cell tumor of bone using radiomics of preoperative CT: Long-term outcome of 62 consecutive patients
Lung et al. Paraconduit hernia in the era of minimally invasive esophagectomy: underdiagnosed?
den Exter et al. Reliability of diagnosing incidental pulmonary embolism in cancer patients
Crespin et al. Hiatal herniation after transhiatal esophagectomy: an underreported complication
Hoban et al. Mirels’ score for upper limb metastatic lesions: do we need a different cutoff for recommending prophylactic fixation?
Kadono et al. Effect of heavy-ion radiotherapy on pulmonary function in stage I non-small cell lung cancer patients
Gupta et al. Pretubercular subcutaneous thickness is a protective factor for superficial wound complications after total knee arthroplasty in nonmorbidly obese patients
Maddox et al. A novel technique for radiographic diagnosis of sarcopenia that accurately predicts postoperative complications in lower extremity free flap patients