LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 5 of total 5

Search options

  1. Article ; Online: Tuberculosis Monitoring Encouragement Adherence Drive (TMEAD): Toward improving the adherence of the patients with drug-sensitive tuberculosis in Nashik, Maharashtra.

    Saha, Somen / Saxena, Deepak / Raval, Devang / Halkarni, Nishad / Doshi, Rahul / Joshi, Madhav / Sridharan, Mridhula / Sathwara, Jignasa / Yasobant, Sandul / Shah, Harsh / Quazi, Zahiruddin Syed / Rajsekar, Kavitha / Chowdhury, Jayeeta

    Frontiers in public health

    2022  Volume 10, Page(s) 1021427

    Abstract: Introduction: Adherence to tuberculosis (TB) medication is one of the critical challenges to tuberculosis elimination in India. Digital adherence technologies (DAT) have the potential to facilitate medication adherence and monitor it remotely. ... ...

    Abstract Introduction: Adherence to tuberculosis (TB) medication is one of the critical challenges to tuberculosis elimination in India. Digital adherence technologies (DAT) have the potential to facilitate medication adherence and monitor it remotely. Tuberculosis Monitoring Encouragement Adherence Drive (TMEAD) is one such DAT piloted in Nasik, Maharashtra, from April 2020 to December 2021. The study aims to assess the adherence and cost-effectiveness of TMEAD compared to the standard of care among patients with drug-sensitive tuberculosis (DSTB) residing in the urban areas of Nasik, Maharashtra, India.
    Methods: A quasi-experimental study was conducted among new cases of TB as per the National TB Elimination Programme (NTEP) residing in the urban geography of Nasik. The intervention and control arms were purposively selected from non-contaminating TB units (TUs). A total of 400 DSTB patients (200 in the intervention group and 200 in the control group) were enrolled. After enrolment, patients in the intervention arm were provided with the TMEAD device and followed for 24 weeks to assess treatment outcomes. Adherence was measured as those patients who have completed 80% of prescribed doses, as reported during patient follow-up, and further validated by analyzing the trace of rifampicin in urine among 20% of patients from both arms. A budget impact analysis was done to assess the impact of the TMEAD program on the overall state health budget.
    Results: Out of 400 enrolled DSTB patients, 261 patients completed treatment, 108 patients were on treatment, 15 patients died, and 16 patients were defaulters over the study period. The study reported overall treatment adherence of 94% among those who completed treatment. Patient reports indicated high levels of treatment adherence in the intervention group (99%) as compared to the control group (90%). Adherence assessed through analyzing trace of rifampicin in the urine sample for the intervention arm was 84% compared to the control arm (80%). Per beneficiary (discounted) cost for TMEAD was Indian rupees (INR) 6,573 (USD 83). The incremental cost-effectiveness ratio of the intervention is INR 11,599 (USD 146), which shows that the intervention is highly cost-effective.
    Conclusion: This study revealed that patient-reported treatment adherence was high in TMEAD when compared to standard therapy of care for DSTB patients and the intervention is cost-effective. TMEAD could complement the national strategy to end TB by improving adherence to the treatment regimen in India.
    MeSH term(s) Humans ; Antitubercular Agents/therapeutic use ; Rifampin/therapeutic use ; India ; Tuberculosis/drug therapy ; Medication Adherence
    Chemical Substances Antitubercular Agents ; Rifampin (VJT6J7R4TR)
    Language English
    Publishing date 2022-12-21
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2022.1021427
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: Complex cystic breast masses: diagnostic approach and imaging-pathologic correlation.

    Doshi, Devang J / March, David E / Crisi, Giovanna M / Coughlin, Bret F

    Radiographics : a review publication of the Radiological Society of North America, Inc

    2007  Volume 27 Suppl 1, Page(s) S53–64

    Abstract: Complex cystic breast masses demonstrate both anechoic (cystic) and echogenic (solid) components at ultrasonography (US). US is used to identify and characterize such masses and to guide percutaneous biopsy. Numerous pathologic entities may produce ... ...

    Abstract Complex cystic breast masses demonstrate both anechoic (cystic) and echogenic (solid) components at ultrasonography (US). US is used to identify and characterize such masses and to guide percutaneous biopsy. Numerous pathologic entities may produce complex cystic breast lesions or may be associated with them, and biopsy is usually indicated. Common benign findings include fibrocystic changes, intraductal or intracystic papilloma without atypia, and fibroadenoma. Common atypical findings include atypical ductal hyperplasia, atypical papilloma, atypical lobular hyperplasia, and lobular carcinoma in situ. Malignant findings include ductal carcinoma in situ, infiltrating ductal carcinoma, and infiltrating lobular carcinoma. If the biopsy approach is tailored to the individual patient and if the imaging features are closely correlated with findings at pathologic analysis, US-guided percutaneous biopsy may be used effectively to diagnose and to guide management of complex cystic masses.
    MeSH term(s) Adult ; Breast Diseases/diagnosis ; Cysts/diagnosis ; Female ; Humans ; Middle Aged
    Language English
    Publishing date 2007-10
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 603172-9
    ISSN 1527-1323 ; 0271-5333
    ISSN (online) 1527-1323
    ISSN 0271-5333
    DOI 10.1148/rg.27si075508
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: Incorporation of a formalized emergency radiology curriculum to facilitate population of a MIRC-based digital teaching file.

    Welte, Frank J / Kim, Sunah C / Doshi, Devang J / O'Connor, Stephen C / Coughlin, Bret F

    Journal of digital imaging

    2009  Volume 23, Issue 2, Page(s) 226–237

    Abstract: Teaching files are integral to radiological training. Digital Imaging and Communication in Medicine compatible digital radiological data and technological advances have made digital teaching files a desirable way to preserve and share representative and/ ... ...

    Abstract Teaching files are integral to radiological training. Digital Imaging and Communication in Medicine compatible digital radiological data and technological advances have made digital teaching files a desirable way to preserve and share representative and/or unusual cases for training purposes. The Medical Imaging Resource Community (MIRC) system developed by the Radiological Society of North America (RSNA) is a robust multi-platform digital teaching file implementation that is freely available. An emergency radiology training curriculum developed by the American Society of Emergency Radiology (ASER) was incorporated to determine if such an approach might facilitate the entry, maintenance, and cataloguing of interesting cases. The RSNA MIRC software was obtained from the main MIRC website and installed. A coding system was developed based on the outline form of the ASER curriculum. Weekly reports were generated tallying the number of cases in each category of the curriculum. Resident participation in the entry and maintenance of cases markedly increased after incorporation of the ASER curriculum. The coding schema facilitated progress assessment. Ultimately, 454 total cases were entered into the MIRC database, representing at least 42% of the subcategories within the ASER curriculum (161 out of 376). The incorporation of the ASER emergency radiology curriculum greatly facilitated the location, cataloguing, tracking, and maintenance of representative cases and served as an effective means by which to unify the efforts of the department to develop a comprehensive teaching resource within this subspecialty. This approach and format will be extended to other educational curricula in other radiological subspecialties.
    MeSH term(s) Clinical Competence ; Computer-Assisted Instruction/instrumentation ; Computer-Assisted Instruction/methods ; Curriculum ; Education, Medical, Graduate/methods ; Educational Measurement ; Electronic Data Processing ; Emergency Treatment ; Female ; Humans ; Information Storage and Retrieval ; Internship and Residency ; Medical Informatics/education ; Radiographic Image Enhancement ; Radiology/education ; Radiology Information Systems ; Software
    Language English
    Publishing date 2009-02-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1033897-4
    ISSN 1618-727X ; 0897-1889
    ISSN (online) 1618-727X
    ISSN 0897-1889
    DOI 10.1007/s10278-009-9178-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article: Temporal subtraction of dual-energy chest radiographs.

    Armato, Samuel G / Doshi, Devang J / Engelmann, Roger / Caligiuri, Philip / MacMahon, Heber

    Medical physics

    2006  Volume 33, Issue 6, Page(s) 1911–1919

    Abstract: Temporal subtraction and dual-energy imaging are two enhanced radiography techniques that are receiving increased attention in chest radiography. Temporal subtraction is an image processing technique that facilitates the visualization of pathologic ... ...

    Abstract Temporal subtraction and dual-energy imaging are two enhanced radiography techniques that are receiving increased attention in chest radiography. Temporal subtraction is an image processing technique that facilitates the visualization of pathologic change across serial chest radiographic images acquired from the same patient; dual-energy imaging exploits the differential relative attenuation of x-ray photons exhibited by soft-tissue and bony structures at different x-ray energies to generate a pair of images that accentuate those structures. Although temporal subtraction images provide a powerful mechanism for enhancing visualization of subtle change, misregistration artifacts in these images can mimic or obscure abnormalities. The purpose of this study was to evaluate whether dual-energy imaging could improve the quality of temporal subtraction images. Temporal subtraction images were generated from 100 pairs of temporally sequential standard radiographic chest images and from the corresponding 100 pairs of dual-energy, soft-tissue radiographic images. The registration accuracy demonstrated in the resulting temporal subtraction images was evaluated subjectively by two radiologists. The registration accuracy of the soft-tissue-based temporal subtraction images was rated superior to that of the conventional temporal subtraction images. Registration accuracy also was evaluated objectively through an automated method, which achieved an area-under-the-ROC-curve value of 0.92 in the distinction between temporal subtraction images that demonstrated clinically acceptable and clinically unacceptable registration accuracy. By combining dual-energy soft-tissue images with temporal subtraction, misregistration artifacts can be reduced and superior image quality can be obtained.
    MeSH term(s) Automation ; Bone Neoplasms/diagnostic imaging ; Bone Neoplasms/pathology ; Databases as Topic ; Humans ; Lung Diseases/diagnostic imaging ; Lung Diseases/pathology ; Lung Neoplasms/diagnostic imaging ; Lung Neoplasms/pathology ; Mass Chest X-Ray/methods ; Photons ; ROC Curve ; Radiographic Image Enhancement/methods ; Radiography, Dual-Energy Scanned Projection/methods ; Soft Tissue Neoplasms/diagnostic imaging ; Soft Tissue Neoplasms/pathology ; Subtraction Technique
    Language English
    Publishing date 2006-06
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 188780-4
    ISSN 0094-2405
    ISSN 0094-2405
    DOI 10.1118/1.2163387
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article: Temporal subtraction in chest radiography: automated assessment of registration accuracy.

    Armato, Samuel G / Doshi, Devang J / Engelmann, Roger / Croteau, Charles L / MacMahon, Heber

    Medical physics

    2006  Volume 33, Issue 5, Page(s) 1239–1249

    Abstract: Radiologists routinely compare multiple chest radiographs acquired from the same patient over time to more completely understand changes in anatomy and pathology. While such comparisons are achieved conventionally through a side-by-side display of images, ...

    Abstract Radiologists routinely compare multiple chest radiographs acquired from the same patient over time to more completely understand changes in anatomy and pathology. While such comparisons are achieved conventionally through a side-by-side display of images, image registration techniques have been developed to combine information from two separate radiographic images through construction of a "temporal subtraction image." Although temporal subtraction images provide a powerful mechanism for the enhanced visualization of subtle change, errors in the clinical evaluation of these images may arise from misregistration artifacts that can mimic or obscure pathologic change. We have developed a computerized method for the automated assessment of registration accuracy as demonstrated in temporal subtraction images created from radiographic chest image pairs. The registration accuracy of 150 temporal subtraction images constructed from the computed radiography images of 72 patients was rated manually using a five-point scale ranging from "5-excellent" to "1-poor;" ratings of 3, 4, or 5 reflected clinically acceptable subtraction images, and ratings of 1 or 2 reflected clinically unacceptable images. Gray-level histogram-based features and texture measures are computed at multiple spatial scales within a "lung mask" region that encompasses both lungs in the temporal subtraction images. A subset of these features is merged through a linear discriminant classifier. With a leave-one-out-by-patient training/testing paradigm, the automated method attained an A(z) value of 0.92 in distinguishing between temporal subtraction images that demonstrated clinically acceptable and clinically unacceptable registration accuracy. A second linear discriminant classifier yielded an A(z) value of 0.82 based on a feature subset selected from an independent database of digitized film images. These methods are expected to advance the clinical utility of temporal subtraction images for chest radiography.
    MeSH term(s) Algorithms ; Artificial Intelligence ; Humans ; Information Storage and Retrieval/methods ; Pattern Recognition, Automated/methods ; Radiographic Image Enhancement/methods ; Radiographic Image Interpretation, Computer-Assisted/methods ; Radiography, Thoracic/methods ; Reproducibility of Results ; Retrospective Studies ; Sensitivity and Specificity ; Subtraction Technique ; Time Factors
    Language English
    Publishing date 2006-05
    Publishing country United States
    Document type Evaluation Studies ; Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 188780-4
    ISSN 0094-2405
    ISSN 0094-2405
    DOI 10.1118/1.2184441
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top