The number of the uncertain answers (score 3) using conventional chest radiography (first and second read) and additional edge enhancement software (third read).

Observer training for computer-aided detection of pulmonary nodules in chest radiography

De Boo, D.W.
van Hoorn, F.
van Schuppen, J.
Schijf, L.
Scheerder, M.J.
Freling, N.J.
Mets, O.
Weber, M.
Schaefer-Prokop, C.M.

January 2012

Item does not contain fulltextTo assess whether short-term feedback helps readers to increase their ...

Improved detection of pulmonary nodules on energy-subtracted chest radiographs with a commercial computer-aided diagnosis software: comparison with human observers

Szucs-Farkas, Zsolt
Patak, Michael A
Yuksel-Hatz, Seyran
Ruder, Thomas
Vock, Peter

January 2010

To retrospectively analyze the performance of a commercial computer-aided diagnosis (CAD) software i...

(a) Contrast noise ratio between two ROIs positioned in the phantom mediastinum and lung tissues of a PA chest radiography for real radiographies (measured) and simulated radiographies, for three different kVp values. (b) Signal noise ratios for three different mAs values of the same ROI position.

Elena Gallio (823204)
Osvaldo Rampado (823205)
Elena Gianaria (823206)
Silvio Diego Bianchi (823207)
Roberto Ropolo (823208)

November 2015

(a) Contrast noise ratio between two ROIs positioned in the phantom mediastinum and lung tissues ...

Reader performance in pneumothorax detection using conventional chest radiography and edge enhancement software reader performance in pneumothorax detection using conventional chest radiography (first and second read) and additional edge enhancement software (third read).

Julia Ley-Zaporozhan (714890)
Hassan Shoushtari (6111518)
Ravi Menezes (6111521)
Leon Zelovitzky (6111524)
Devang Odedra (842837)
Laura Jimenez-Juan (6111527)
Karyn Brunet (6111530)
Yasser Karimzad (6111533)
Narinder S. Paul (6111536)

December 2018

Reader performance in pneumothorax detection using conventional chest radiography and edge enhanceme...

Chest radiography screening at regular intervals and their positive results (N = 686).

Kiran Chawla (16484422)
Sharath Burugina Nagaraja (9153971)
Nayana Siddalingaiah (17101685)
Chidananda Sanju (17101688)
Uday Kumar (16457565)
Vishnu Prasad Shenoy (17101691)
Suresh Shastri (344670)
Anil Singarajipur (17101694)

October 2023

Chest radiography screening at regular intervals and their positive results (N = 686).</p

New methods for using computer-aided detection information for the detection of lung nodules on chest radiographs

Schalekamp, S.
Ginneken, B. van
Heggelman, B.
Imhof-Tas, M.W.
Somers, I.
Brink, M.
Spee, M.
Schaefer-Prokop, C.M.
Karssemeijer, N.

January 2014

Objective: To investigate two new methods of using computer-aided detection (CAD) system information...

Comparison of reader performance for pneumothorax detection using conventional (first and second read) and additional edge enhanced radiographs (third read).

Julia Ley-Zaporozhan (714890)
Hassan Shoushtari (6111518)
Ravi Menezes (6111521)
Leon Zelovitzky (6111524)
Devang Odedra (842837)
Laura Jimenez-Juan (6111527)
Karyn Brunet (6111530)
Yasser Karimzad (6111533)
Narinder S. Paul (6111536)

December 2018

P-value has been calculated between second read AUC and third read AUC using the Hanley & McNeil met...

Comparison of two methods for evaluating image quality of chest radiographs

Sund, P.
Herrmann, C.
Tingberg, Anders
Kheddache, S.
Månsson, L.G.
Almén, A
Mattsson, Sören

January 2000

A set of 15 analog chest images was digitized with a high performance scanner and manipulated in ter...

Expert inter-reader variability of incident case diagnostic chest radiograph interpretations.

Richard Long (105563)
Leyla Asadi (6439775)
Courtney Heffernan (574943)
James Barrie (2622907)
Christopher Winter (2622904)
Mary Lou Egedahl (574947)
Catherine Paulsen (4591999)
Brenden Kunimoto (6439778)
Dick Menzies (66118)

March 2019

Expert inter-reader variability of incident case diagnostic chest radiograph interpretations.</p

The average metric values of different algorithms for CT chest images (Mean value (95%CI)).

Jingya Zhang (817471)
Jiajun Wang (512021)
Xiuying Wang (664529)
Xin Gao (14001)
Dagan Feng (817472)

October 2015

The average metric values of different algorithms for CT chest images (Mean value (95%CI)).</p

The Clinical Utility of Chest Radiography for Identifying Pneumonia: Accounting for Diagnostic Uncertainty in Radiology Reports.

Makhnevich, A.
Sinvani, L.
Cohen, S. L.
Feldhamer, K. H.
Zhang, M.
Lesser, M. L.
McGinn, T. G.

January 2019

OBJECTIVE. Currently, chest radiography is the first-line imaging test for identifying pneumonia; ch...

Performance of primary readers interpreting 232 chest radiographs selected at random from among their concordant readings compared against the final readings of the arbitration panel.

M. Ominde (5558957)
J. Sande (5558975)
M. Ooko (5558969)
C. Bottomley (4531528)
R. Benamore (5558960)
K. Park (3823000)
J. Ignas (5558963)
K. Maitland (4844340)
T. Bwanaali (5558966)
F. Gleeson (3821035)
A. Scott (5558972)

July 2018

Performance of primary readers interpreting 232 chest radiographs selected at random from among t...

Additional file 2: of E-learning for chest x-ray interpretation improves medical student skills and confidence levels

S. Wentzell (5957039)
L. Moran (5331467)
J. Dobranowski (5957042)
A. Levinson (5957045)
A. Hannigan (3540659)
C. Dunne (5957048)
D. McGrath (5957051)

November 2018

Appendix 2. CXR Interpretation Questionnaire. This appendix depicts the questionnaire that was made ...

Robust and Reproducible Quantification of the Extent of Chest Radiographic Abnormalities (And It's Free!)

Requena-Méndez, Ana
Aldasoro, Edelweiss
Muñoz, José
Moore, David A. J.

RATIONALE: Objective, reproducible quantification of the extent of abnormalities see...

Applicability and accuracy of pretest probability calculations implemented in the NICE clinical guideline for decision making about imaging in patients with chest pain of recent onset

Roehle, Robert
Wieske, Viktoria
Schuetz, Georg M
Gueret, Pascal
Andreini, Daniele
Meijboom, Willem Bob
Pontone, Gianluca
Garcia, Mario
Alkadhi, Hatem
Honoris, Lily
Hausleiter, Jörg
Bettencourt, Nuno
Zimmermann, Elke
Leschka, Sebastian
Gerber, Bernhard
Rochitte, Carlos
Schoepf, U Joseph
Shabestari, Abbas Arjmand
Nørgaard, Bjarne
Sato, Akira
Knuuti, Juhani
Meijs, Matthijs F L
Brodoefel, Harald
Jenkins, Shona M M
Øvrehus, Kristian Altern
Diederichsen, Axel Cosmus Pyndt
Hamdan, Ashraf
Halvorsen, Bjørn Arild
Mendoza Rodriguez, Vladimir
Wan, Yung Liang
Rixe, Johannes
Sheikh, Mehraj
Langer, Christoph
Ghostine, Said
Martuscelli, Eugenio
Niinuma, Hiroyuki
Scholte, Arthur
Nikolaou, Konstantin
Ulimoen, Geir
Zhang, Zhaoqi
Mickley, Hans
Nieman, Koen
Kaufmann, Philipp
Büchel, Ronny Ralf
Herzog, Bernhard
Clouse, Melvin
Halon, David A
Leipsic, Jonathan
Bush, David
Jakamy, Reda
Sun, Kai
Yang, Lin
Johnson, Thorsten
Laissy, Jean-Pierre
Marcus, Roy
Muraglia, Simone
Tardif, Jean-Claude
Chow, Benjamin
Paul, Narinder
Maintz, David
Hoe, John
de Roos, Albert
Haase, Robert
Laule, Michael
Schlattmann, Peter
Dewey, Marc

September 2018

OBJECTIVES: To analyse the implementation, applicability and accuracy of the pretest probability cal...

Observer training for computer-aided detection of pulmonary nodules in chest radiography

De Boo, D.W.
van Hoorn, F.
van Schuppen, J.
Schijf, L.
Scheerder, M.J.
Freling, N.J.
Mets, O.
Weber, M.
Schaefer-Prokop, C.M.

January 2012

Item does not contain fulltextTo assess whether short-term feedback helps readers to increase their ...

Improved detection of pulmonary nodules on energy-subtracted chest radiographs with a commercial computer-aided diagnosis software: comparison with human observers

Szucs-Farkas, Zsolt
Patak, Michael A
Yuksel-Hatz, Seyran
Ruder, Thomas
Vock, Peter

January 2010

To retrospectively analyze the performance of a commercial computer-aided diagnosis (CAD) software i...

(a) Contrast noise ratio between two ROIs positioned in the phantom mediastinum and lung tissues of a PA chest radiography for real radiographies (measured) and simulated radiographies, for three different kVp values. (b) Signal noise ratios for three different mAs values of the same ROI position.

Elena Gallio (823204)
Osvaldo Rampado (823205)
Elena Gianaria (823206)
Silvio Diego Bianchi (823207)
Roberto Ropolo (823208)

November 2015

(a) Contrast noise ratio between two ROIs positioned in the phantom mediastinum and lung tissues ...

Reader performance in pneumothorax detection using conventional chest radiography and edge enhancement software reader performance in pneumothorax detection using conventional chest radiography (first and second read) and additional edge enhancement software (third read).

Julia Ley-Zaporozhan (714890)
Hassan Shoushtari (6111518)
Ravi Menezes (6111521)
Leon Zelovitzky (6111524)
Devang Odedra (842837)
Laura Jimenez-Juan (6111527)
Karyn Brunet (6111530)
Yasser Karimzad (6111533)
Narinder S. Paul (6111536)

December 2018

Reader performance in pneumothorax detection using conventional chest radiography and edge enhanceme...

Chest radiography screening at regular intervals and their positive results (N = 686).

Kiran Chawla (16484422)
Sharath Burugina Nagaraja (9153971)
Nayana Siddalingaiah (17101685)
Chidananda Sanju (17101688)
Uday Kumar (16457565)
Vishnu Prasad Shenoy (17101691)
Suresh Shastri (344670)
Anil Singarajipur (17101694)

October 2023

Chest radiography screening at regular intervals and their positive results (N = 686).</p

New methods for using computer-aided detection information for the detection of lung nodules on chest radiographs

Schalekamp, S.
Ginneken, B. van
Heggelman, B.
Imhof-Tas, M.W.
Somers, I.
Brink, M.
Spee, M.
Schaefer-Prokop, C.M.
Karssemeijer, N.

January 2014

Objective: To investigate two new methods of using computer-aided detection (CAD) system information...

Comparison of reader performance for pneumothorax detection using conventional (first and second read) and additional edge enhanced radiographs (third read).

Julia Ley-Zaporozhan (714890)
Hassan Shoushtari (6111518)
Ravi Menezes (6111521)
Leon Zelovitzky (6111524)
Devang Odedra (842837)
Laura Jimenez-Juan (6111527)
Karyn Brunet (6111530)
Yasser Karimzad (6111533)
Narinder S. Paul (6111536)

December 2018

P-value has been calculated between second read AUC and third read AUC using the Hanley & McNeil met...

Comparison of two methods for evaluating image quality of chest radiographs

Sund, P.
Herrmann, C.
Tingberg, Anders
Kheddache, S.
Månsson, L.G.
Almén, A
Mattsson, Sören

January 2000

A set of 15 analog chest images was digitized with a high performance scanner and manipulated in ter...

Expert inter-reader variability of incident case diagnostic chest radiograph interpretations.

Richard Long (105563)
Leyla Asadi (6439775)
Courtney Heffernan (574943)
James Barrie (2622907)
Christopher Winter (2622904)
Mary Lou Egedahl (574947)
Catherine Paulsen (4591999)
Brenden Kunimoto (6439778)
Dick Menzies (66118)

March 2019

Expert inter-reader variability of incident case diagnostic chest radiograph interpretations.</p

The average metric values of different algorithms for CT chest images (Mean value (95%CI)).

Jingya Zhang (817471)
Jiajun Wang (512021)
Xiuying Wang (664529)
Xin Gao (14001)
Dagan Feng (817472)

October 2015

The average metric values of different algorithms for CT chest images (Mean value (95%CI)).</p

The Clinical Utility of Chest Radiography for Identifying Pneumonia: Accounting for Diagnostic Uncertainty in Radiology Reports.

Makhnevich, A.
Sinvani, L.
Cohen, S. L.
Feldhamer, K. H.
Zhang, M.
Lesser, M. L.
McGinn, T. G.

January 2019

OBJECTIVE. Currently, chest radiography is the first-line imaging test for identifying pneumonia; ch...

Performance of primary readers interpreting 232 chest radiographs selected at random from among their concordant readings compared against the final readings of the arbitration panel.

M. Ominde (5558957)
J. Sande (5558975)
M. Ooko (5558969)
C. Bottomley (4531528)
R. Benamore (5558960)
K. Park (3823000)
J. Ignas (5558963)
K. Maitland (4844340)
T. Bwanaali (5558966)
F. Gleeson (3821035)
A. Scott (5558972)

July 2018

Performance of primary readers interpreting 232 chest radiographs selected at random from among t...

Additional file 2: of E-learning for chest x-ray interpretation improves medical student skills and confidence levels

S. Wentzell (5957039)
L. Moran (5331467)
J. Dobranowski (5957042)
A. Levinson (5957045)
A. Hannigan (3540659)
C. Dunne (5957048)
D. McGrath (5957051)

November 2018

Appendix 2. CXR Interpretation Questionnaire. This appendix depicts the questionnaire that was made ...

Robust and Reproducible Quantification of the Extent of Chest Radiographic Abnormalities (And It's Free!)

Requena-Méndez, Ana
Aldasoro, Edelweiss
Muñoz, José
Moore, David A. J.

RATIONALE: Objective, reproducible quantification of the extent of abnormalities see...

Applicability and accuracy of pretest probability calculations implemented in the NICE clinical guideline for decision making about imaging in patients with chest pain of recent onset

Roehle, Robert
Wieske, Viktoria
Schuetz, Georg M
Gueret, Pascal
Andreini, Daniele
Meijboom, Willem Bob
Pontone, Gianluca
Garcia, Mario
Alkadhi, Hatem
Honoris, Lily
Hausleiter, Jörg
Bettencourt, Nuno
Zimmermann, Elke
Leschka, Sebastian
Gerber, Bernhard
Rochitte, Carlos
Schoepf, U Joseph
Shabestari, Abbas Arjmand
Nørgaard, Bjarne
Sato, Akira
Knuuti, Juhani
Meijs, Matthijs F L
Brodoefel, Harald
Jenkins, Shona M M
Øvrehus, Kristian Altern
Diederichsen, Axel Cosmus Pyndt
Hamdan, Ashraf
Halvorsen, Bjørn Arild
Mendoza Rodriguez, Vladimir
Wan, Yung Liang
Rixe, Johannes
Sheikh, Mehraj
Langer, Christoph
Ghostine, Said
Martuscelli, Eugenio
Niinuma, Hiroyuki
Scholte, Arthur
Nikolaou, Konstantin
Ulimoen, Geir
Zhang, Zhaoqi
Mickley, Hans
Nieman, Koen
Kaufmann, Philipp
Büchel, Ronny Ralf
Herzog, Bernhard
Clouse, Melvin
Halon, David A
Leipsic, Jonathan
Bush, David
Jakamy, Reda
Sun, Kai
Yang, Lin
Johnson, Thorsten
Laissy, Jean-Pierre
Marcus, Roy
Muraglia, Simone
Tardif, Jean-Claude
Chow, Benjamin
Paul, Narinder
Maintz, David
Hoe, John
de Roos, Albert
Haase, Robert
Laule, Michael
Schlattmann, Peter
Dewey, Marc

September 2018

OBJECTIVES: To analyse the implementation, applicability and accuracy of the pretest probability cal...

Observer training for computer-aided detection of pulmonary nodules in chest radiography

De Boo, D.W.
van Hoorn, F.
van Schuppen, J.
Schijf, L.
Scheerder, M.J.
Freling, N.J.
Mets, O.
Weber, M.
Schaefer-Prokop, C.M.

January 2012

Item does not contain fulltextTo assess whether short-term feedback helps readers to increase their ...

Improved detection of pulmonary nodules on energy-subtracted chest radiographs with a commercial computer-aided diagnosis software: comparison with human observers

Szucs-Farkas, Zsolt
Patak, Michael A
Yuksel-Hatz, Seyran
Ruder, Thomas
Vock, Peter

January 2010

To retrospectively analyze the performance of a commercial computer-aided diagnosis (CAD) software i...

(a) Contrast noise ratio between two ROIs positioned in the phantom mediastinum and lung tissues of a PA chest radiography for real radiographies (measured) and simulated radiographies, for three different kVp values. (b) Signal noise ratios for three different mAs values of the same ROI position.

Elena Gallio (823204)
Osvaldo Rampado (823205)
Elena Gianaria (823206)
Silvio Diego Bianchi (823207)
Roberto Ropolo (823208)

November 2015

(a) Contrast noise ratio between two ROIs positioned in the phantom mediastinum and lung tissues ...

The number of the uncertain answers (score 3) using conventional chest radiography (first and second read) and additional edge enhancement software (third read).

Abstract

Extracted data

The number of the uncertain answers (score 3) using conventional chest radiography (first and second read) and additional edge enhancement software (third read).

Abstract

Extracted data

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