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Article
Peer-Review Record

Significance of Pelvic Fluid Observed during Ovarian Cancer Screening with Transvaginal Sonogram

Diagnostics 2022, 12(1), 144; https://doi.org/10.3390/diagnostics12010144
by Justin W. Gorski 1, Charles S. Dietrich III 1, Caeli Davis 2, Lindsay Erol 3, Hayley Dietrich 4, Nicholas J. Per 5, Emily Lenk Ferrell 5, Anthony B. McDowell 1, McKayla J. Riggs 1, Megan L. Hutchcraft 1, Lauren A. Baldwin-Branch 1, Rachel W. Miller 1, Christopher P. DeSimone 1, Holly H. Gallion 1, Frederick R. Ueland 1, John R. van Nagell, Jr. 1 and Edward J. Pavlik 1,*
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Diagnostics 2022, 12(1), 144; https://doi.org/10.3390/diagnostics12010144
Submission received: 17 November 2021 / Revised: 31 December 2021 / Accepted: 31 December 2021 / Published: 7 January 2022

Round 1

Reviewer 1 Report

In this article, the authors examine the frequency and duration of free fluid during TVS exams in a large screening population and correlate the findings with the patient diagnosis. The primary objective was to determine if free fluid provides additional information in predicting ovarian malignancy compared to ultrasound alone. The manuscript is straightforward, well written, and concise and has clear results within the scope of a prospective analysis. Definitely deserves to be published and is a valuable contribution to the “diagnosticsjournal. Some minor flaws need to be addressed before publication.

Minor points:

[1] “1. Introduction”, Lines 34-51:

The introduction section should include some epidemiological data of ovarian cancer (mortality, morbidity), the pathogenesis, a statement about the lack of screening methods, the genetic background (BRCA genes, homologous recombination), the therapeutic strategies, etc.

[2] General comment:

I would recommend the authors to incorporate an additional table, summarizing the 4 reported in the manuscript ovarian cancer screening trials utilizing transvaginal sonography (references 4-7). The variables that could be included are

  1. Study design

  2. Screening tests

  3. Number screened/detected patients

  4. Number of invasive cancers

  5. Stage of the disease (I, II, III and IV)

  6. Survival benefit (Yes vs No)

Author Response

Comments and Suggestions for Authors

Reviewer 1

In this article, the authors examine the frequency and duration of free fluid during TVS exams in a large screening population and correlate the findings with the patient diagnosis. The primary objective was to determine if free fluid provides additional information in predicting ovarian malignancy compared to ultrasound alone. The manuscript is straightforward, well written, and concise and has clear results within the scope of a prospective analysis. Definitely deserves to be published and is a valuable contribution to the “diagnostics” journal. Some minor flaws need to be addressed before publication.

Minor points:

[1] “1. Introduction”, Lines 34-51:

“The introduction section should include some epidemiological data of ovarian cancer (mortality, morbidity), the pathogenesis, a statement about the lack of screening methods, the genetic background (BRCA genes, homologous recombination), the therapeutic strategies, etc.”

In accordance with Reviewer #1, the manuscript has been revised to present epidemiological data of ovarian cancer (mortality, morbidity), the pathogenesis, a statement about screening methods, the genetic background (BRCA genes, homologous recombination), and therapeutic strategies. This modification ends at line 52 and is included below. A summary of screening effectiveness is added in Table 1.

Ovarian cancer continues to be the most lethal gynecological cancer with most patients facing a diagnosis of late stage metastatic disease that is associated with a 5-year survivals of only 30%. While the lifetime risk of ovarian cancer is less than breast cancer, it has a death-to-incidence ratio that is 3-4 times more than breast cancer [[1],[2],[3]]. Ovarian cancers can arise from the ovary as well as the fallopian tube [[4],[5],[6],[7],[8],[9],[10],[11]] and occur as five major histological subtypes (high grade  serous, low-grade serous, endometrioid, clear cell and mucinous) that have been explored by immunochemical, genetic and homologous recombination approaches [[12]]. Deleterious mutations in DNA repair genes can drive defective homologous recombination and are emerging biomarkers of sensitivity/insensitivity to PARP inhibitors which interfere with the ability of poly-ADP ribose polymerase (PARP) to repair treatment-mediated DNA damage in cancer cells [[13]].   Despite technically advanced treatment strategies in precision medicine and immunotherapy, long term durable treatment responses have not yet been achievable [[14],[15]]. However, long-term survival rates that are greater than 90% in women with stage I ovarian cancer have focused an advocacy for screening efforts to detect early stage disease [[16]]. 

 

 

 

[2] General comment:

I would recommend the authors to incorporate an additional table, summarizing the 4 reported in the manuscript ovarian cancer screening trials utilizing transvaginal sonography (references 4-7). The variables that could be included are

  1. Study design
  2. Screening tests
  3. Number screened/detected patients
  4. Number of invasive cancers
  5. Stage of the disease (I, II, III and IV)

Survival benefit (Yes vs No)

 

In accordance with Reviewer #1 this summary has been added as Table 1, as shown below and occurring at line 154 with text edits lines 56-60.

Table 1.  Summary of Ovarian Screening Trials

Study

KYOVS

PLCO

SCSOCS

UKCTOCS

Study Design

Prospective Cohort (Ongoing)

Intent to Treat RCT (Closed)

Intent to Treat

RCT (Closed)

Intent to Treat

RCT (Closed)

 

Number Screened

48,925 a

34,253b

34,304*

41,688b

40,799*

50,625c

50,623a

101,314*

 

Total Screens

326,998

150,598

156,747

345,570c

327,775a

 

Invasive Ovarian Cancers  Detected

78

212 b

27

522c

517a

1016*

 

Shift to Early Stage Diseased

Yes (63%)

No

Yes (67%)

Yes (39.2%)

 

 

Survival Benefit

Yes

No

No

Yes

 

 

                   

aUSS alone, bUSS alone followed by Ca125, cCa125 followed by USS, *control, dStage I & II

                   

Reviewer 2 Report

In the present manuscript, “Significance of Pelvic Fluid Observed During Ovarian Cancer Screening with Transvaginal Sonogram,” the authors investigated the significance of pelvic fluid in ovarian cancer screening using a large-scale dataset. The purpose of the study is clinically interesting, and this study potentially has a significant value. However, the result of the investigation feels strange and difficult to understand despite the simple concept. One of the reasons is that the study design is inappropriate to investigate the purpose of the study. In the introduction section, the authors mentioned that the purpose of the study is to determine if free fluid provides additional information in predicting ovarian malignancy compared to ultrasound alone. However, the authors classified the patients based on the final diagnosis. I think that the patients should be stratified with ultrasound findings; for example, those with ovarian tumor with fluid, those with ovarian tumor without fluid, those with no ovarian mass but fluid, and those without any finding. Therefore, I think the authors should re-analyze the dataset, which will improve the impact of the study.

Author Response

  1. In the present manuscript, “Significance of Pelvic Fluid Observed During Ovarian Cancer Screening with Transvaginal Sonogram,” the authors investigated the significance of pelvic fluid in ovarian cancer screening using a large-scale dataset. The purpose of the study is clinically interesting, and this study potentially has a significant value. However, the result of the investigation feels strange and difficult to understand despite the simple concept. One of the reasons is that the study design is inappropriate to investigate the purpose of the study. In the introduction section, the authors mentioned that the purpose of the study is to determine if free fluid provides additional information in predicting ovarian malignancy compared to ultrasound alone. However, the authors classified the patients based on the final diagnosis I think that the patients should be stratified with ultrasound findings; for example, those with ovarian tumor with fluid, those with ovarian tumor without fluid, those with no ovarian mass but fluid, and those without any finding. Therefore, I think the authors should re-analyze the dataset, which will improve the impact of the study.

 

In accordance with reviewer #2, we re-analyzed the data with added information on sonographic findings in lines 133-145. In particular, information has been added on fluid in TVS exams prior to the final diagnosis.

Since 1987, the University of Kentucky Ovarian Screening Program has performed 326,998 TVS screens on 48,925 women. We observed free fluid in 2,001 (4.1%) of those encounters. True positive screens included 78 ovarian malignancies (13 fluid-positive, 16.7%), 20 tumors of low malignant potential (two fluid-positive, 10%), and 23 malignancies of non-ovarian origin (three fluid-positive, 13%). Only one of the true positive cases was observed to have fluid present in a prior normal TVS exam. There were 614 FP screens classified as high risk for ovarian cancer but found to have benign pathology (31 fluid-positive, 5%). Nine of these cases occurred on a prior normal TVS exam. The TN screens included 41,996 cases that screened negative for malignancy and did not develop ovarian carcinoma (1,948 fluid-positive, 4.6%: 1,071 fluid positive cases were associated with a normal TVS exam while 877 were associated with an abnormal TVS exam). There were 21 cases of ovarian cancer diagnosed within 12 months of a FN TVS scan (4 fluid-positive, 19%). All of these cases occurred in the absence of an abnormal TVS exam.

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Dongsheng Tu, Wendy R. Parulekar, Matthew Nankivell, Sean Kehoe, Dennis S. Chi, Douglas A. Levine, Marcus Q. Bernardini, Barry Rosen, Amit Oza, Myles Brown, Benjamin G. Neel. Computational modeling of ovarian cancer dynamics suggests optimal strategies for therapy and screening.

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Round 2

Reviewer 2 Report

I think the manuscript has improved.

Author Response

 We appreciate the reviewers’ comments.

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